Fetching the paper…
Reading the bibliography…
Earth observation (EO), aiming at monitoring the state of planet Earth using remote sensing data, is critical for improving our daily lives and living environment.
Remote sensing for natural disaster management
CJ Van Westen · 2000
Earlier work this paper cites.
Classification of objects in sar images using scaling features
Uma S Ranjan and Akash Narayana · 2002
Earlier work this paper cites.
Learning spatial context: Using stuff to find things
Geremy Heitz and Daphne Koller · 2008
Earlier work this paper cites.
Remote sensing and the disaster management cycle
Karen E Joyce, Kim C Wright, Sergey V Samsonov, and Vincent G Ambrosia · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Overhead imagery research data set, 2009
2009
Earlier work this paper cites.
Change detection in optical aerial images by a multilayer conditional mixed markov model
Csaba Benedek and Tamás Szirányi · 2009
Earlier work this paper cites.
Contextual classification with functional max-margin markov networks
Daniel Munoz, J Andrew Bagnell, Nicolas Vandapel, and Martial Hebert · 2009
Earlier work this paper cites.
Bag-of-visual-words and spatial extensions for land-use classification
Yi Yang and Shawn Newsam · 2010
Earlier work this paper cites.
Structural high-resolution satellite image indexing
Gui-Song Xia, Wen Yang, Julie Delon, Yann Gousseau, Hong Sun, and Henri MaÎtre · 2010
Earlier work this paper cites.
Machine Learning for Aerial Image Labeling
Volodymyr Mnih · 2013
Earlier work this paper cites.
Systematic benchmarking of aerial image segmentation
Jiangye Yuan, Shaun S Gleason, and Anil M Cheriyadat · 2013
Earlier work this paper cites.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Earlier work this paper cites.
Heihe watershed allied telemetry experimental research (hiwater): Scientific objectives and experimental design
Xin Li, Guodong Cheng, Shaomin Liu, Qing Xiao, Mingguo Ma, Rui Jin, Tao Che, Qinhuo Liu, Weizhen Wang, Yuan Qi, et al · 2013
Earlier work this paper cites.
Recent advances in remote sensing change detection–a review
Antje Hecheltjen, Frank Thonfeld, and Gunter Menz · 2014
Earlier work this paper cites.
Automated detection of cloud and cloud shadow in single-date landsat imagery using neural networks and spatial post-processing
M Joseph Hughes and Daniel J Hayes · 2014
Earlier work this paper cites.
The spectral response of the landsat-8 operational land imager
Julia A Barsi, Kenton Lee, Geir Kvaran, Brian L Markham, and Jeffrey A Pedelty · 2014
Earlier work this paper cites.
Benchmarking high density image matching for oblique airborne imagery
Stefan Cavegn, Norbert Haala, Stephan Nebiker, Mathias Rothermel, and Patrick Tutzauer · 2014
Earlier work this paper cites.
Paris-rue-madame database: a 3d mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods
Andrés Serna, Beatriz Marcotegui, François Goulette, and Jean-Emmanuel Deschaud · 2014
Earlier work this paper cites.
Building extraction from airborne laser scanning data: An analysis of the state of the art
Ivan Tomljenovic, Bernhard Höfle, Dirk Tiede, and Thomas Blaschke · 2015
Earlier work this paper cites.
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
Otávio AB Penatti, Keiller Nogueira, and Jefersson A Dos Santos · 2015
Earlier work this paper cites.
220 band aviris hyperspectral image data set: June 12, 1992 indian pine test site 3
Marion F Baumgardner, Larry L Biehl, and David A Landgrebe · 2015
Earlier work this paper cites.
Deep learning based feature selection for remote sensing scene classification
Qin Zou, Lihao Ni, Tong Zhang, and Qian Wang · 2015
Earlier work this paper cites.
Deepsat: a learning framework for satellite imagery
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, and Ramakrishna Nemani · 2015
Earlier work this paper cites.
Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery
Yanfei Zhong, Qiqi Zhu, and Liangpei Zhang · 2015
Earlier work this paper cites.
District of columbia – classified point cloud lidar, 2015
2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Orientation robust object detection in aerial images using deep convolutional neural network
Haigang Zhu, Xiaogang Chen, Weiqun Dai, Kun Fu, Qixiang Ye, and Jianbin Jiao · 2015
Earlier work this paper cites.
Pklot–a robust dataset for parking lot classification
Paulo RL De Almeida, Luiz S Oliveira, Alceu S Britto Jr, Eunelson J Silva Jr, and Alessandro L Koerich · 2015
Earlier work this paper cites.
Enhancing road maps by parsing aerial images around the world
Gellert Mattyus, Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2015
Earlier work this paper cites.
2015 ieee grss data fusion contest: Extremely high resolution lidar and optical data [technical committees]
Gabriele Moser, Devis Tuia, and Michal Shimoni · 2015
Earlier work this paper cites.
Semantic segmentation of urban scenes by learning local class interactions
Michele Volpi and Vittorio Ferrari · 2015
Earlier work this paper cites.
Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis
Michele Volpi, Gustau Camps-Valls, and Devis Tuia · 2015
Earlier work this paper cites.
Wide-area image geolocalization with aerial reference imagery
Scott Workman, Richard Souvenir, and Nathan Jacobs · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Remote sensing platforms and sensors: A survey
Charles Toth and Grzegorz Jóźków · 2016
Earlier work this paper cites.
Application of remote sensing methods in agriculture
Marek Wójtowicz, Andrzej Wójtowicz, Jan Piekarczyk, et al · 2016
Earlier work this paper cites.
Deep learning for remote sensing data: A technical tutorial on the state of the art
Liangpei Zhang, Lefei Zhang, and Bo Du · 2016
Earlier work this paper cites.
Feature significance-based multibag-of-visual-words model for remote sensing image scene classification
Lijun Zhao, Ping Tang, and Lianzhi Huo · 2016
Earlier work this paper cites.
Tianggong1 high-resolution satellite scene classification, 2016
2016
Earlier work this paper cites.
Towards vegetation species discrimination by using data-driven descriptors
Keiller Nogueira, Jefersson A Dos Santos, Tamires Fornazari, Thiago Sanna Freire Silva, Leonor Patricia Morellato, and Ricardo da S Torres · 2016
Earlier work this paper cites.
SSD: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Earlier work this paper cites.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Vehicle detection in aerial imagery: A small target detection benchmark
Sebastien Razakarivony and Frederic Jurie · 2016
Earlier work this paper cites.
A large contextual dataset for classification, detection and counting of cars with deep learning
T Nathan Mundhenk, Goran Konjevod, Wesam A Sakla, and Kofi Boakye · 2016
Earlier work this paper cites.
Dlr multi-class vehicle detection and orientation in aerial imagery, 2016
DLR · 2016
Earlier work this paper cites.
A survey on object detection in optical remote sensing images
Gong Cheng and Junwei Han · 2016
Earlier work this paper cites.
Hd maps: Fine-grained road segmentation by parsing ground and aerial images
Gellért Máttyus, Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2016
Earlier work this paper cites.
Multitemporal hyperspectral change detection, 2016
2016
Earlier work this paper cites.
A scene change detection framework for multi-temporal very high resolution remote sensing images
Chen Wu, Lefei Zhang, and Liangpei Zhang · 2016
Earlier work this paper cites.
Draper satellite image chronology, 2016
2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Deep learning in remote sensing: A comprehensive review and list of resources
Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, and Friedrich Fraundorfer · 2017
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
Earlier work this paper cites.
Understanding the amazon rainforest from space using cnns
Shubham Chandak, Vamsi Chitters, and Sagar Honnungar · 2017
Earlier work this paper cites.
Remote sensing image scene classification: Benchmark and state of the art
Gong Cheng, Junwei Han, and Xiaoqiang Lu · 2017
Earlier work this paper cites.
Aid: A benchmark data set for performance evaluation of aerial scene classification
Gui-Song Xia, Jingwen Hu, Fan Hu, Baoguang Shi, Xiang Bai, Yanfei Zhong, Liangpei Zhang, and Xiaoqiang Lu · 2017
Earlier work this paper cites.
High-resolution remote sensing image retrieval based on cnns from a dimensional perspective
Zhifeng Xiao, Yang Long, Deren Li, Chunshan Wei, Gefu Tang, and Junyi Liu · 2017
Earlier work this paper cites.
Object detection of satellite images using multi-channel higher-order local autocorrelation
Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, and Ryosuke Nakamura · 2017
Earlier work this paper cites.
Statoil/c-core iceberg classifier challenge, 2017
Statoil · 2017
Earlier work this paper cites.
Tiselac: Time series land cover classification challeng, 2017
2017
Earlier work this paper cites.
Austin zoning satellite images, 2017
2017
Earlier work this paper cites.
Noaa fisheries steller sea lion population count, 2017
2017
Earlier work this paper cites.
Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto, Aito Fujita, and Ryosuke Nakamura · 2017
Earlier work this paper cites.
Tracking in aerial hyperspectral videos using deep kernelized correlation filters
Burak Uzkent, Aneesh Rangnekar, and Matthew J Hoffman · 2017
Earlier work this paper cites.
Opensarship: A dataset dedicated to sentinel-1 ship interpretation
Lanqing Huang, Bin Liu, Boying Li, Weiwei Guo, Wenhao Yu, Zenghui Zhang, and Wenxian Yu · 2017
Earlier work this paper cites.
Ship detection in sar images based on an improved faster r-cnn
Jianwei Li, Changwen Qu, and Jiaqi Shao · 2017
Earlier work this paper cites.
Accurate object localization in remote sensing images based on convolutional neural networks
Yang Long, Yiping Gong, Zhifeng Xiao, and Qing Liu · 2017
Earlier work this paper cites.
Dstl satellite imagery feature detection, 2017
2017
Earlier work this paper cites.
A high resolution optical satellite image dataset for ship recognition and some new baselines
Zikun Liu, Liu Yuan, Lubin Weng, and Yiping Yang · 2017
Earlier work this paper cites.
Drone-based object counting by spatially regularized regional proposal network
Meng-Ru Hsieh, Yen-Liang Lin, and Winston H Hsu · 2017
Earlier work this paper cites.
Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, and Pierre Alliez · 2017
Earlier work this paper cites.
Cloud detection algorithm comparison and validation for operational landsat data products
Steve Foga, Pat L Scaramuzza, Song Guo, Zhe Zhu, Ronald D Dilley Jr, Tim Beckmann, Gail L Schmidt, John L Dwyer, M Joseph Hughes, and Brady Laue · 2017
Earlier work this paper cites.
Learning aerial image segmentation from online maps
Pascal Kaiser, Jan Dirk Wegner, Aurélien Lucchi, Martin Jaggi, Thomas Hofmann, and Konrad Schindler · 2017
Earlier work this paper cites.
Learning dual multi-scale manifold ranking for semantic segmentation of high-resolution images
Mi Zhang, Xiangyun Hu, Like Zhao, Ye Lv, Min Luo, and Shiyan Pang · 2017
Earlier work this paper cites.
Damage detection from aerial images via convolutional neural networks
Aito Fujita, Ken Sakurada, Tomoyuki Imaizumi, Riho Ito, Shuhei Hikosaka, and Ryosuke Nakamura · 2017
Earlier work this paper cites.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
Earlier work this paper cites.
Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Earlier work this paper cites.
Okutama-action: An aerial view video dataset for concurrent human action detection
Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, and Helmut Prendinger · 2017
Earlier work this paper cites.
A benchmark for building footprint classification using orthorectified rgb imagery and digital surface models from commercial satellites
Hirsh Goldberg, Myron Brown, and Sean Wang · 2017
Earlier work this paper cites.
Cross-view image matching for geo-localization in urban environments
Yicong Tian, Chen Chen, and Mubarak Shah · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
Automatic 3d reconstruction from multi-date satellite images
Gabriele Facciolo, Carlo De Franchis, and Enric Meinhardt-Llopis · 2017
Earlier work this paper cites.
SEMANTIC3D.NET: A new large-scale point cloud classification benchmark
Timo Hackel, N. Savinov, L. Ladicky, Jan D. Wegner, K. Schindler, and M. Pollefeys · 2017
Earlier work this paper cites.
Historical hourly weather data 2012-2017, 2017
Siddharth Yadav, Chun Fu, and Andrich van Wyk · 2017
Earlier work this paper cites.
Climate change: Earth surface temperature data, 2017
2017
Earlier work this paper cites.
International greenhouse gas emissions, 2017
2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Earlier work this paper cites.
AI-NET: Attention inception neural networks for hyperspectral image classification
Zhitong Xiong, Yuan Yuan, and Qi Wang · 2018
Earlier work this paper cites.
Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
Earlier work this paper cites.
Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval
Weixun Zhou, Shawn Newsam, Congmin Li, and Zhenfeng Shao · 2018
Earlier work this paper cites.
Scene classification with recurrent attention of vhr remote sensing images
Qi Wang, Shaoteng Liu, Jocelyn Chanussot, and Xuelong Li · 2018
Earlier work this paper cites.
Multisensor earth observation image classification based on a multimodal latent dirichlet allocation model
Reza Bahmanyar, Daniela Espinoza-Molina, and Mihai Datcu · 2018
Earlier work this paper cites.
Ships in satellite imagery, 2018
2018
Earlier work this paper cites.
Automatic ship classification from optical aerial images with convolutional neural networks
Gallego Antonio-Javier, Pertusa Antonio, and Gil Pablo · 2018
Earlier work this paper cites.
Airbus wind turbines patches, 2018
2018
Earlier work this paper cites.
Deepglobe 2018: A challenge to parse the earth through satellite images
Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, and Ramesh Raskar · 2018
Earlier work this paper cites.
Segmenting buildings in satellite images, 2018
2018
Earlier work this paper cites.
Airbus ship detection challenge, 2018
Airbus · 2018
Earlier work this paper cites.
Ships in google earth, 2018
pineda moreno adrian and Ardian Umam · 2018
Earlier work this paper cites.
Deep learning for vehicle detection in aerial images
Michael Ying Yang, Wentong Liao, Xinbo Li, and Bodo Rosenhahn · 2018
Earlier work this paper cites.
Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
Earlier work this paper cites.
Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
Earlier work this paper cites.
Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning
Ronald Kemker, Carl Salvaggio, and Christopher Kanan · 2018
Earlier work this paper cites.
Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set
Shunping Ji, Shiqing Wei, and Meng Lu · 2018
Earlier work this paper cites.
2018 open ai tanzania building footprint segmentation challenge, 2018
2018
Earlier work this paper cites.
The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems
Robert Krajewski, Julian Bock, Laurent Kloeker, and Lutz Eckstein · 2018
Earlier work this paper cites.
Roadtracer: Automatic extraction of road networks from aerial images
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, and David DeWitt · 2018
Earlier work this paper cites.
Zhiwei Li, Huanfeng Shen, Qing Cheng, Yuhao Liu, Shucheng You, and Zongyi He · 2018
Earlier work this paper cites.
Spacenet: A remote sensing dataset and challenge series
Adam Van Etten, Dave Lindenbaum, and Todd M Bacastow · 2018
Earlier work this paper cites.
Open cities ai challenge dataset,version 1.0, radiant mlhub, 2018
GFDRR Labs · 2018
Earlier work this paper cites.
Segmenting buildings in satellite images, 2018
GitHub repository · 2018
Earlier work this paper cites.
The azavea cloud dataset, 2018
GitHub repository · 2018
Earlier work this paper cites.
Performance evaluation of single-label and multi-label remote sensing image retrieval using a dense labeling dataset
Zhenfeng Shao, Ke Yang, and Weixun Zhou · 2018
Earlier work this paper cites.
Semantic Annotation of Aerial Images using Deep Learning, Transfer Learning, and Synthetic Training Data
Maria Scanlon · 2018
Earlier work this paper cites.
Ensemble knowledge transfer for semantic segmentation
Ishan Nigam, Chen Huang, and Deva Ramanan · 2018
Earlier work this paper cites.
Large-scale structure from motion with semantic constraints of aerial images
Yu Chen, Yao Wang, Peng Lu, Yisong Chen, and Guoping Wang · 2018
Earlier work this paper cites.
Deepglobe 2018: A challenge to parse the earth through satellite images
Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, and Ramesh Raskar · 2018
Earlier work this paper cites.
Hyrank hyperspectral satellite dataset i (version v001)
K. Karantzalos, C. Karakizi, Z. Kandylakis, and G. Antoniou · 2018
Earlier work this paper cites.
2018 ieee grss data fusion contest: Multimodal land use classification [technical committees]
Bertrand Le Saux, Naoto Yokoya, Ronny Hänsch, and Saurabh Prasad · 2018
Earlier work this paper cites.
GETNET: A general end-to-end 2-d cnn framework for hyperspectral image change detection
Qi Wang, Zhenghang Yuan, Qian Du, and Xuelong Li · 2018
Earlier work this paper cites.
Urban change detection for multispectral earth observation using convolutional neural networks
Rodrigo Caye Daudt, Bertr Le Saux, Alexandre Boulch, and Yann Gousseau · 2018
Earlier work this paper cites.
Change detection in remote sensing images using conditional adversarial networks
MA Lebedev, Yu V Vizilter, OV Vygolov, VA Knyaz, and A Yu Rubis · 2018
Earlier work this paper cites.
Stacked autoencoders for multiclass change detection in hyperspectral images
Javier López-Fandiño, Alberto S Garea, Dora B Heras, and Francisco Argüello · 2018
Earlier work this paper cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
Earlier work this paper cites.
Unified perceptual parsing for scene understanding
Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, and Jian Sun · 2018
Earlier work this paper cites.
The sen1-2 dataset for deep learning in sar-optical data fusion
Michael Schmitt, Lloyd Haydn Hughes, and Xiao Xiang Zhu · 2018
Earlier work this paper cites.
Proba-v super-resolution dataset, November 2018
Marcus Märtens, Dario Izzo, Andrej Krzic, and Daniel Cox · 2018
Earlier work this paper cites.
Large-scale public lidar and satellite image data set for urban semantic labeling
Myron Brown, Hirsh Goldberg, Kevin Foster, Andrea Leichtman, Sean Wang, Shea Hagstrom, Marc Bosch, and Scott Almes · 2018
Earlier work this paper cites.
Paris-lille-3d: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, and François Goulette · 2018
Earlier work this paper cites.
Automatic land-water classification using multispectral airborne lidar data for near-shore and river environments
Ahmed Shaker, Wai Yeung Yan, and Paul E LaRocque · 2019
Earlier work this paper cites.
A review of benchmarking in photogrammetry and remote sensing
K Bakula, JP Mills, and F Remondino · 2019
Earlier work this paper cites.
So2sat lcz42: A benchmark dataset for global local climate zones classification
Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, et al · 2019
Earlier work this paper cites.
Semantic segmentation of crop type in africa: A novel dataset and analysis of deep learning methods
Rose M Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, and David Lobell · 2019
Earlier work this paper cites.
Understanding clouds from satellite images, 2019
Max Planck Institute for Meteorology · 2019
Earlier work this paper cites.
Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Marcela Charfuelan, Begum Demir, and Volker Markl · 2019
Earlier work this paper cites.
Eopatches for slovenia 2019, 2019
2019
Earlier work this paper cites.
Automatic Land Cover Reconstruction From Historical Aerial Images: An Evaluation of Features Extraction and Classification Algorithms
Rémi Ratajczak, Carlos F Crispim-Junior, Élodie Faure, Béatrice Fervers, and Laure Tougne · 2019
Earlier work this paper cites.
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Patrick Helber, Benjamin Bischke, Andreas Dengel, and Damian Borth · 2019
Earlier work this paper cites.
Wids datathon 2019, 2019
2019
Earlier work this paper cites.
A public dataset for ship classification in remote sensing images
Yanghua Di, Zhiguo Jiang, Haopeng Zhang, and Gang Meng · 2019
Earlier work this paper cites.
Smokenet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention
Rui Ba, Chen Chen, Jing Yuan, Weiguo Song, and Siuming Lo · 2019
Cited alongside, same era.
Find a car park, 2019
2019
Cited alongside, same era.
Us building footprints, 2019
Microsoft · 2019
Cited alongside, same era.
Spacenet mvoi: A multi-view overhead imagery dataset
Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar, and Hanlin Tang · 2019
Cited alongside, same era.
Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection
Yuanlin Zhang, Yuan Yuan, Yachuang Feng, and Xiaoqiang Lu · 2019
Cited alongside, same era.
xview 2018 object detection challenge, 2019
xView · 2019
Cited alongside, same era.
Forest damages – larch casebearer 1.0. national forest data lab. dataset., 2021
Swedish Forest Agency · 2021
Later among the works it cites.
Cofga: A dataset for fine grained classification of objects from aerial imagery
Eran Dahan, Tzvi Diskin, Amit Amram, Amit Moryossef, and Omer Koren · 2021
Later among the works it cites.
Casia-aircraft, 2021
Shubhankar Rawat · 2021
Later among the works it cites.
Airbus oil storage detection, 2021
Airbus · 2021
Later among the works it cites.
Tiny object detection in aerial images
Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, and Gui-Song Xia · 2021
Later among the works it cites.
Landcover. ai: Dataset for automatic mapping of buildings, woodlands, water and roads from aerial imagery
Adrian Boguszewski, Dominik Batorski, Natalia Ziemba-Jankowska, Tomasz Dziedzic, and Anna Zambrzycka · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, and Xiao Xiang Zhu · 2019
Cited alongside, same era.
Semantic segmentation of aerial imagery, 2019
2019
Cited alongside, same era.
Muti-type aircraft of remote sensing images: Mtarsi, 2019
Zhize Wu · 2019
Cited alongside, same era.
A tool for bridge detection in major infrastructure works using satellite images
Keiller Nogueira, Caio da Silva, Pedro Gama, Gabriel Machado, and Jefersson Alex Dos Santos · 2019
Cited alongside, same era.
Australia building footprints, 2019
Microsoft · 2019
Cited alongside, same era.
Uganda tanzania building footprints public, 2019
Microsoft · 2019
Cited alongside, same era.
Later among the works it cites.
Panoptic segmentation of satellite image time series with convolutional temporal attention networks
Vivien Sainte Fare Garnot and Loic Landrieu · 2021
Later among the works it cites.
Cgi planes in satellite imagery w/ bboxes, 2021
Shubhankar Rawat · 2021
Later among the works it cites.
Airbus aircraft detection, 2021
Berkay Alan Jeff Faudi · 2021
Later among the works it cites.
Msnet: A multilevel instance segmentation network for natural disaster damage assessment in aerial videos
Xiaoyu Zhu, Junwei Liang, and Alexander Hauptmann · 2021
Later among the works it cites.
Object detection in aerial images: A large-scale benchmark and challenges
Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2021
Later among the works it cites.
An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance
Jan Gąsienica-Józkowy, Mateusz Knapik, and Boguslaw Cyganek · 2021
Later among the works it cites.
Sarnet: A dataset for deep learning assisted search and rescue with satellite imagery, 2021
Michael Thoreau and Frazer Wilson · 2021
Later among the works it cites.
Rethinking automatic ship wake detection: State-of-the-art cnn-based wake detection via optical images
Fuduo Xue, Weiqi Jin, Su Qiu, and Jie Yang · 2021
Later among the works it cites.
Forest damages – larch casebearer 1.0, 2021
Swedish Forest Agency · 2021
Later among the works it cites.
Detection and tracking meet drones challenge
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, and Haibin Ling · 2021
Later among the works it cites.
Detection and tracking meet drones challenge
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, and Haibin Ling · 2021
Later among the works it cites.
Eagle: Large-scale vehicle detection dataset in real-world scenarios using aerial imagery
Seyed Majid Azimi, Reza Bahmanyar, Corentin Henry, and Franz Kurz · 2021
Later among the works it cites.
Artifive-potsdam: A benchmark for learning with artificial objects for improved aerial vehicle detection
Immanuel Weber, Jens Bongartz, and Ribana Roscher · 2021
Later among the works it cites.
A lightweight deep learning-based cloud detection method for sentinel-2a imagery fusing multiscale spectral and spatial features
Jun Li, Zhaocong Wu, Zhongwen Hu, Canliang Jian, Shaojie Luo, Lichao Mou, Xiao Xiang Zhu, and Matthieu Molinier · 2021
Later among the works it cites.
Timesen2crop: A million labeled samples dataset of sentinel 2 image time series for crop-type classification
Giulio Weikmann, Claudia Paris, and Lorenzo Bruzzone · 2021
Later among the works it cites.
Crop mapping from image time series: Deep learning with multi-scale label hierarchies
Mehmet Ozgur Turkoglu, Stefano D’Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, and Jan Dirk Wegner · 2021
Later among the works it cites.
Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning
Yi-Ran Wang and Xiao-Ming Li · 2021
Later among the works it cites.
The multi-temporal urban development spacenet dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez Manso, Jacob Shermeyer, Nicholas Weir, and Ryan Lewis · 2021
Later among the works it cites.
Dabnet: Deformable contextual and boundary-weighted network for cloud detection in remote sensing images
Q. He, X. Sun, Z. Yan, and K. Fu · 2021
Later among the works it cites.
2021 ieee grss data fusion contest track dse, 2021
2021
Later among the works it cites.
Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation
Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zhong · 2021
Later among the works it cites.
Semi-supervised semantic segmentation in earth observation: The minifrance suite, dataset analysis and multi-task network study
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, and Sébastien Lefèvre · 2021
Later among the works it cites.
Synthesizing optical and sar imagery from land cover maps and auxiliary raster data
Gerald Baier, Antonin Deschemps, Michael Schmitt, and Naoto Yokoya · 2021
Later among the works it cites.
S2looking: A satellite side-looking dataset for building change detection
Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Shouye Lv, and Bitao Jiang · 2021
Later among the works it cites.
Change detection in urban point clouds: An experimental comparison with simulated 3d datasets
Iris de Gélis, Sébastien Lefèvre, and Thomas Corpetti · 2021
Later among the works it cites.
Asymmetric siamese networks for semantic change detection in aerial images
Kunping Yang, Gui-Song Xia, Zicheng Liu, Bo Du, Wen Yang, Marcello Pelillo, and Liangpei Zhang · 2021
Later among the works it cites.
Sunet: Change detection for heterogeneous remote sensing images from satellite and uav using a dual-channel fully convolution network
Ruizhe Shao, Chun Du, Hao Chen, and Jun Li · 2021
Later among the works it cites.
A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection
Qian Shi, Mengxi Liu, Shengchen Li, Xiaoping Liu, Fei Wang, and Liangpei Zhang · 2021
Later among the works it cites.
Self-supervised pre-training enhances change detection in sentinel-2 imagery
Marrit Leenstra, Diego Marcos, Francesca Bovolo, and Devis Tuia · 2021
Later among the works it cites.
Deep learning for the Earth sciences: A comprehensive approach to remote sensing, climate science and geosciences
Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, and Markus Reichstein · 2021
Later among the works it cites.
On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
Later among the works it cites.
Sustainbench: Benchmarks for monitoring the sustainable development goals with machine learning
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David B Lobell, and Stefano Ermon · 2021
Later among the works it cites.
The hessigheim 3d (h3d) benchmark on semantic segmentation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo
Michael Kölle, Dominik Laupheimer, Stefan Schmohl, Norbert Haala, Franz Rottensteiner, Jan Dirk Wegner, and Hugo Ledoux · 2021
Later among the works it cites.
Climatenet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
Karthik Kashinath, Mayur Mudigonda, Sol Kim, Lukas Kapp-Schwoerer, Andre Graubner, Ege Karaismailoglu, Leo Von Kleist, Thorsten Kurth, Annette Greiner, Ankur Mahesh, et al · 2021
Later among the works it cites.
Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data
Oscar Mañas, Alexandre Lacoste, Xavier Giro-i Nieto, David Vazquez, and Pau Rodriguez · 2021
Later among the works it cites.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Later among the works it cites.
Mlp-mixer: An all-mlp architecture for vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, et al · 2021
Later among the works it cites.
Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
Later among the works it cites.
Air quality e-reporting (aq e-reporting), 2021
European Environment Agency · 2021
Later among the works it cites.
The qxs-saropt dataset for deep learning in sar-optical data fusion
Meiyu Huang, Yao Xu, Lixin Qian, Weili Shi, Yaqin Zhang, Wei Bao, Nan Wang, Xuejiao Liu, and Xueshuang Xiang · 2021
Later among the works it cites.
Vigor: Cross-view image geo-localization beyond one-to-one retrieval
Sijie Zhu, Taojiannan Yang, and Chen Chen · 2021
Later among the works it cites.
Rational polynomial camera model warping for deep learning based satellite multi-view stereo matching
Jian Gao, Jin Liu, and Shunping Ji · 2021
Later among the works it cites.
A new public alsat-2b dataset for single-image super-resolution
Achraf Djerida, Khelifa Djerriri, Moussa Sofiane Karoui, et al · 2021
Later among the works it cites.
Dlr hysu—a benchmark dataset for spectral unmixing
Daniele Cerra, Miguel Pato, Kevin Alonso, Claas Köhler, Mathias Schneider, Raquel de los Reyes, Emiliano Carmona, Rudolf Richter, Franz Kurz, Peter Reinartz, et al · 2021
Later among the works it cites.
A new stereo dense matching benchmark dataset for deep learning
T Wu, B Vallet, M Pierrot-Deseilligny, and E Rupnik · 2021
Later among the works it cites.
Semantic segmentation on swiss3dcities: a benchmark study on aerial photogrammetric 3d pointcloud dataset
Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, and Alessandro Giusti · 2021
Later among the works it cites.
Sum: A benchmark dataset of semantic urban meshes
Weixiao Gao, Liangliang Nan, Bas Boom, and Hugo Ledoux · 2021
Later among the works it cites.
Earthnet2021: A large-scale dataset and challenge for earth surface forecasting as a guided video prediction task
Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, and Joachim Denzler · 2021
Later among the works it cites.
Eod: The ieee grss earth observation database
Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, and Ronny Hänsch · 2022
Closest in time.
Seasonet: A seasonal scene classification, segmentation and retrieval dataset for satellite imagery over germany
Dominik Koßmann, Viktor Brack, and Thorsten Wilhelm · 2022
Closest in time.
Hyperspectral datasets, 2022
˜na B. A. M Gra and Veganzons MA · 2022
Closest in time.
Towards space-to-ground data availability for agriculture monitoring
George Choumos, Alkiviadis Koukos, Vasileios Sitokonstantinou, and Charalampos Kontoes · 2022
Closest in time.
Scan: Scattering characteristics analysis network for few-shot aircraft classification in high-resolution sar images
Xian Sun, Yixuan Lv, Zhirui Wang, and Kun Fu · 2022
Closest in time.
Ombrianet—supervised flood mapping via convolutional neural networks using multitemporal sentinel-1 and sentinel-2 data fusion
Georgios I Drakonakis, Grigorios Tsagkatakis, Konstantina Fotiadou, and Panagiotis Tsakalides · 2022
Closest in time.
Hephaestus: A large scale multitask dataset towards insar understanding
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, and Isaak Parcharidis · 2022
Closest in time.
The auto arborist dataset: A large-scale benchmark for multiview urban forest monitoring under domain shift
Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, and Jonathan Huang · 2022
Closest in time.
Treesatai benchmark archive: A multi-sensor, multi-label dataset for tree species classification in remote sensing
Steve Ahlswede, Christian Schulz, Christiano Gava, Patrick Helber, Benjamin Bischke, Michael Förster, Florencia Arias, Jörn Hees, Begüm Demir, and Birgit Kleinschmit · 2022
Closest in time.
Synthwakesar: A synthetic sar dataset for deep learning classification of ships at sea
Igor G Rizaev and Alin Achim · 2022
Closest in time.
Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network
Boan Chen, Quanlong Feng, Bowen Niu, Fengqin Yan, Bingbo Gao, Jianyu Yang, Jianhua Gong, and Jiantao Liu · 2022
Closest in time.
Kennedy space center, 2022
2022
Closest in time.
Isprs 2d semantic labeling contest,” accessed on oct. 9, 2022., 2022
ISPRS-Contest · 2022
Closest in time.
Isprs 2d semantic labeling contest,” accessed on oct. 9, 2022., 2022
ISPRS-Contest · 2022
Closest in time.
A context-scale-aware detector and a new benchmark for remote sensing small weak object detection in unmanned aerial vehicle images
Han Wei, Li Jun, Wang Sheng, Wang Yi, Yan Jining, Fan Runyu, Zhang Xiaohan, and Wang Lizhe · 2022
Closest in time.
Towards large-scale small object detection: Survey and benchmarks
Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, and Junwei Han · 2022
Closest in time.
Hydice image of washington dc mall, 2022
2022
Closest in time.
Air-polsar-seg: A large-scale data set for terrain segmentation in complex-scene polsar images
Zhirui Wang, Xuan Zeng, Zhiyuan Yan, Jian Kang, and Xian Sun · 2022
Closest in time.
Sefepnet: Scale expansion and feature enhancement pyramid network for sar aircraft detection with small sample dataset
Peng Zhang, Hao Xu, Tian Tian, Peng Gao, Linfeng Li, Tianming Zhao, Nan Zhang, and Jinwen Tian · 2022
Closest in time.
Urban building classification dataset, 2022
AICyberTeam · 2022
Closest in time.
Learning to extract building footprints from off-nadir aerial images
Jinwang Wang, Lingxuan Meng, Weijia Li, Wen Yang, Lei Yu, and Gui-Song Xia · 2022
Closest in time.
Hephaestus: A large scale multitask dataset towards insar understanding
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, and Isaak Parcharidis · 2022
Closest in time.
Seadronessee: A maritime benchmark for detecting humans in open water
Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, and Andreas Zell · 2022
Closest in time.
xview3 competition, 2022
xview · 2022
Closest in time.
Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning
Yiming Sun, Bing Cao, Pengfei Zhu, and Qinghua Hu · 2022
Closest in time.
Sentinel-2 cloud cover segmentation dataset (version 1). radiant mlhub., 2022
Radiant Earth Foundation · 2022
Closest in time.
Timespec4lulc: a global multispectral time series database for training lulc mapping models with machine learning
Rohaifa Khaldi, Domingo Alcaraz-Segura, Emilio Guirado, Yassir Benhammou, Abdellatif El Afia, Francisco Herrera, and Siham Tabik · 2022
Closest in time.
Enabling country-scale land cover mapping with meter-resolution satellite imagery
Xin-Yi Tong, Gui-Song Xia, and Xiao Xiang Zhu · 2022
Closest in time.
Whu-ohs: A benchmark dataset for large-scale hersepctral image classification
Jiayi Li, Xin Huang, and Lilin Tu · 2022
Closest in time.
Opensentinelmap: A large-scale land use dataset using openstreetmap and sentinel-2 imagery
Noah Johnson, Wayne Treible, and Daniel Crispell · 2022
Closest in time.
Multisenge: a multimodal and multitemporal benchmark dataset for land use/land cover remote sensing applications
Romain Wenger, A Puissant, J Weber, L Idoumghar, and G Forestier · 2022
Closest in time.
Lane-level street map extraction from aerial imagery
Songtao He and Hari Balakrishnan · 2022
Closest in time.
Spacenet 8-the detection of flooded roads and buildings
Ronny Hänsch, Jacob Arndt, Dalton Lunga, Matthew Gibb, Tyler Pedelose, Arnold Boedihardjo, Desiree Petrie, and Todd M Bacastow · 2022
Closest in time.
Rid—roof information dataset for computer vision-based photovoltaic potential assessment
Sebastian Krapf, Lukas Bogenrieder, Fabian Netzler, Georg Balke, and Markus Lienkamp · 2022
Closest in time.
A cnn-transformer network with multi-scale context aggregation for fine-grained cropland change detection
Mengxi Liu, Zhuoqun Chai, Haojun Deng, and Rong Liu · 2022
Closest in time.
Dynamic world, near real-time global 10 m land use land cover mapping
Christopher F Brown, Steven P Brumby, Brookie Guzder-Williams, Tanya Birch, Samantha Brooks Hyde, Joseph Mazzariello, Wanda Czerwinski, Valerie J Pasquarella, Robert Haertel, Simon Ilyushchenko, et al · 2022
Closest in time.
Wh-mavs: A novel dataset and deep learning benchmark for multiple land use and land cover applications
Jingwen Yuan, Lixiang Ru, Shugen Wang, and Chen Wu · 2022
Closest in time.
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Caglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, and Laura Leal-Taié · 2022
Closest in time.
Mscdunet: A deep learning framework for built-up area change detection integrating multispectral, sar and vhr data
Haoyang Li, Fangjie Zhu, Xiaoyu Zheng, Mengxi Liu, and Guangzhao Chen · 2022
Closest in time.
Nwpu-captions dataset and mlca-net for remote sensing image captioning
Qimin Cheng, Haiyan Huang, Yuan Xu, Yuzhuo Zhou, Huanying Li, and Zhongyuan Wang · 2022
Closest in time.
Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval
Zhiqiang Yuan, Wenkai Zhang, Kun Fu, Xuan Li, Chubo Deng, Hongqi Wang, and Xian Sun · 2022
Closest in time.
Remote sensing image change captioning (rsicc), 2022
Chen-Yang-Liu · 2022
Closest in time.
Change detection meets visual question answering
Zhenghang Yuan, Lichao Mou, Zhitong Xiong, and Xiao Xiang Zhu · 2022
Closest in time.
Hyperview challenge, 2022
2022
Closest in time.
Tropical cyclone wind estimation competition dataset, version 1.0, radiant mlhub, 2022
Radiant Earth Foundation · 2022
Closest in time.
Aitlas: Artificial intelligence toolbox for earth observation
Ivica Dimitrovski, Ivan Kitanovski, Panče Panov, Nikola Simidjievski, and Dragi Kocev · 2022
Closest in time.
Multi-task learning of relative height estimation and semantic segmentation from single airborne rgb images
Min Lu, Jiayin Liu, Feng Wang, and Yuming Xiang · 2022
Closest in time.
A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
Closest in time.
Paddy rice maps south korea (2017-2021), January 2022
Hyun-Woo Jo and Woo-Kyun Lee · 2022
Closest in time.
Paddy rice labeling sites in south korea (2018), January 2022
Kim Chanwoo, Jo Hyun-Woo, Lee Sujong, Kim Whijin, Yan Yan, Kim Joon, Song Minju, and Woo-Kyun Lee · 2022
Closest in time.
Anomaly detection in aerial videos with transformers
Pu Jin, Lichao Mou, Gui-Song Xia, and Xiao Xiang Zhu · 2022
Closest in time.
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, and Xiaoxiang Zhu · 2022
Closest in time.
Jonathan Ventura, Milo Honsberger, Cameron Gonsalves, Julian Rice, Camille Pawlak, Natalie LR Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, et al · 2022
Closest in time.
So2sat pop–a curated benchmark data set for population estimation from space on a continental scale
Sugandha Doda, Yuanyuan Wang, Matthias Kahl, Eike Jens Hoffmann, Hannes Taubenböck, and Xiao Xiang Zhu · 2022
Closest in time.
Speed+: Next-generation dataset for spacecraft pose estimation across domain gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer, Dario Izzo, and Simone D’Amico · 2022
Closest in time.
The WorldStrat Dataset: Open High-Resolution Satellite Imagery With Paired Multi-Temporal Low- Resolution, July 2022
Julien Cornebise, Ivan Oršolić, and Freddie Kalaitzis · 2022
Closest in time.
SEN2VENµS, a dataset for the training of Sentinel-2 super-resolution algorithms, May 2022
Julien Michel, Juan Vinasco-Salinas, Jordi Inglada, and Olivier Hagolle · 2022
Closest in time.
Sensaturban: Learning semantics from urban-scale photogrammetric point clouds
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, and Andrew Markham · 2022
Closest in time.
Aerial monocular 3d object detection dataset, 2022
2022
Closest in time.
There are no data like more data: Datasets for deep learning in earth observation
Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülşen Taşkın, Ujjwal Verma, Francescopaolo Sica, and Ronny Hänsch · 2023
Closest in time.
Foundation models for generalist geospatial artificial intelligence
Johannes Jakubik, Sujit Roy, CE Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, et al · 2023
Closest in time.
Luojia-hssr: A high spatial-spectral resolution remote sensing dataset for land-cover classification with a new 3d-hrnet
Yue Xu, Jianya Gong, Xin Huang, Xiangyun Hu, Jiayi Li, Qiang Li, and Min Peng · 2023
Closest in time.
Gamus: A geometry-aware multi-modal semantic segmentation benchmark for remote sensing data, 2023
Zhitong Xiong, Sining Chen, Yi Wang, Lichao Mou, and Xiao Xiang Zhu · 2023
Closest in time.
Inferring 3d change detection from bitemporal optical images
Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane, and Mattia Crespi · 2023
Closest in time.
Detecting building changes with off-nadir aerial images
Chao Pang, Jiang Wu, Jian Ding, Can Song, and Gui-Song Xia · 2023
Closest in time.
Satlaspretrain: A large-scale dataset for remote sensing image understanding
Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, and Aniruddha Kembhavi · 2023
Closest in time.
Building geospatial foundation models via continual pretraining
Matias Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, and Mu Li Gfm · 2023
Closest in time.
Satin: A multi-task metadataset for classifying satellite imagery using vision-language models
Jonathan Roberts, Kai Han, and Samuel Albanie · 2023
Closest in time.
Change-aware sampling and contrastive learning for satellite images
Utkarsh Mall, Bharath Hariharan, and Kavita Bala · 2023
Closest in time.
Tov: The original vision model for optical remote sensing image understanding via self-supervised learning
Chao Tao, Ji Qi, Guo Zhang, Qing Zhu, Weipeng Lu, and Haifeng Li · 2023
Closest in time.
Remote sensing vision-language foundation models without annotations via ground remote alignment
Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, and Kavita Bala · 2023
Closest in time.
Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, et al · 2023
Closest in time.
Rsvg: Exploring data and models for visual grounding on remote sensing data
Yang Zhan, Zhitong Xiong, and Yuan Yuan · 2023
Closest in time.
Rs5m: A large scale vision-language dataset for remote sensing vision-language foundation model
Zilun Zhang, Tiancheng Zhao, Yulong Guo, and Jianwei Yin · 2023
Closest in time.
Rsgpt: A remote sensing vision language model and benchmark
Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, and Xiang Li · 2023
Closest in time.
Mikolaj Czerkawski and Alistair Francis · 2023
Closest in time.
Mar20: A benchmark for military aircraft recognition in remote sensing images
YU Wenqi, CHENG Gong, WANG Meijun, YAO Yanqing, XIE Xingxing, YAO Xiwen, and HAN Junwei · 2024
Closest in time.
Fomo-bench: a multi-modal, multi-scale and multi-task forest monitoring benchmark for remote sensing foundation models, 2024
Nikolaos Ioannis Bountos, Arthur Ouaknine, and David Rolnick · 2024
Closest in time.
Ticino: A multi-modal remote sensing dataset for semantic segmentation
Mirko Paolo Barbato, Flavio Piccoli, and Paolo Napoletano · 2024
Closest in time.
Changenet: Multi-temporal asymmetric change detection dataset
Deyi Ji, Siqi Gao, Mingyuan Tao, Hongtao Lu, and Feng Zhao · 2024
Closest in time.
Neural plasticity-inspired foundation model for observing the earth crossing modalities
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, and Xiao Xiang Zhu · 2024
Closest in time.
Geo-bench: Toward foundation models for earth monitoring
Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, et al · 2024
Closest in time.
Phileo bench: Evaluating geo-spatial foundation models
Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, and Bertrand Le Saux · 2024
Closest in time.
Ssl4eo-l: Datasets and foundation models for landsat imagery
Adam Stewart, Nils Lehmann, Isaac Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ait Ali Braham, Shradha Sehgal, Caleb Robinson, and Arindam Banerjee · 2024
Closest in time.
Samrs: Scaling-up remote sensing segmentation dataset with segment anything model
Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, and Liangpei Zhang · 2024
Closest in time.
Yuanxin Zhao, Mi Zhang, Bingnan Yang, Zhan Zhang, Jiaju Kang, and Jianya Gong · 2024
Closest in time.
Skyscript: A large and semantically diverse vision-language dataset for remote sensing
Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, and Ram Rajagopal · 2024
Closest in time.
Chatearthnet: A global-scale, high-quality image-text dataset for remote sensing
Zhenghang Yuan, Zhitong Xiong, Lichao Mou, and Xiao Xiang Zhu · 2024
Closest in time.
Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, and Pengfeng Xiao · 2024
Closest in time.