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Remote sensing images are useful for a wide variety of planet monitoring applications, from tracking deforestation to tackling illegal fishing.
OpenStreetMap: User-Generated Street Maps
Mordechai Haklay and Patrick Weber · 2008
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. J. Li, Kai Li, and Li Fei-Fei · 2009
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Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification
Yi Yang and Shawn Newsam · 2010
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Map Inference in the Face of Noise and Disparity
James Biagioni and Jakob Eriksson · 2012
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Machine Learning for Aerial Image Labeling
Volodymyr Mnih · 2013
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Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring
Robert S Allison, Joshua M Johnston, Gregory Craig, and Sion Jennings · 2016
Earlier work this paper cites.
A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data
Annarita D’Addabbo, Alberto Refice, Guido Pasquariello, Francesco P Lovergine, Domenico Capolongo, and Salvatore Manfreda · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Application of Remote Sensing Images for Natural Disaster Mitigation using Wavelet based Pattern Recognition Analysis
Sudha Radhika, Yukio Tamura, and Masahiro Matsui · 2016
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LinkNet: Exploiting encoder representations for efficient semantic segmentation
Abhishek Chaurasia and Eugenio Culurciello · 2017
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Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng, Junwei Han, and Xiaoqiang Lu · 2017
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Automatic Road Detection and Centerline Extraction via Cascaded End-to-end Convolutional Neural Network
Guangliang Cheng, Ying Wang, Shibiao Xu, Hongzhen Wang, Shiming Xiang, and Chunhong Pan · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu, Baoguang Shi, Xiang Bai, Yanfei Zhong, and Liangpei Zhang · 2017
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Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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https://www.kaggle.com/c/airbus-ship-detection , 2018
Airbus ship detection challenge · 2018
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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
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Functional Map of the World
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
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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
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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
Cited alongside, same era.
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
Lichen Zhou, Chuang Zhang, and Ming Wu · 2018
Cited alongside, same era.
Improved Road Connectivity by Joint Learning of Orientation and Segmentation
Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, CV Jawahar, and Manohar Paluri · 2019
Cited alongside, same era.
Topological Map Extraction from Overhead Images
Zuoyue Li, Jan Dirk Wegner, and Aurélien Lucchi · 2019
Cited alongside, same era.
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, and Nebojsa Jojic · 2019
Cited alongside, same era.
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID
Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, and Deren Li · 2021
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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Manas, Alexandre Lacoste, Xavier Giro i Nieto, David Vazquez, and Pau Rodriguez · 2021
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Learning Transferable Visual Models from Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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ESA WorldCover: Global land cover mapping at 10 m resolution for 2020 based on Sentinel-1 and 2 data
Ruben Van De Kerchove, Daniele Zanaga, Wanda Keersmaecker, Niels Souverijns, Jan Wevers, Carsten Brockmann, Alex Grosu, Audrey Paccini, Oliver Cartus, Maurizio Santoro, et al · 2021
Later among the works it cites.
https://sentinel.esa.int/web/sentinel/home , 2022
Copernicus Sentinel Missions · 2022
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BigEarthNet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding
Gencer Sumbul, Marcela Charfuelan, Begum Demir, and Volker Markl · 2019
Cited alongside, same era.
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, and Xiang Bai · 2019
Cited alongside, same era.
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He · 2020
Cited alongside, same era.
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M Elshrif, Samuel Madden, and Mohammad Amin Sadeghi · 2020
Cited alongside, same era.
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, and Nebojsa Jojic · 2020
Cited alongside, same era.
VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction
Yong-Qiang Tan, Shang-Hua Gao, Xuan-Yi Li, Ming-Ming Cheng, and Bo Ren · 2020
Cited alongside, same era.
Microsoft
Microsoft Building Footprints Datasets, 2021 · 2021
Cited alongside, same era.
Cloud to Street, Microsoft, Radiant Earth Foundation
A global flood events and cloud cover dataset (version 1.0), 2022 · 2022
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Self-supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva, Matthew Purri, and Matthew Leotta · 2022
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Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Multi-modal Temporal Attention Models for Crop Mapping from Satellite Time Series
Vivien Sainte Fare Garnot, Loic Landrieu, and Nesrine Chehata · 2022
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Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture
Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, and Derek Hoiem · 2022
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Webly Supervised Concept Expansion for General Purpose Vision Models
Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, and Aniruddha Kembhavi · 2022
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xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
Fernando Paolo, Tsu ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, and Jared Dunnmon · 2022
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A General Purpose Neural Architecture for Geospatial Systems
Nasim Rahaman, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, and Bernhard Schölkopf · 2022
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Data fusion contest 2022 (dfc2022), 2022
Ronny Hänsch; Claudio Persello; Gemine Vivone; Javiera Castillo Navarro; Alexandre Boulch; Sebastien Lefevre; Bertrand Le Saux · 2022
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Self-Supervised Vision Transformers for Land-Cover Segmentation and Classification
Linus Scheibenreif, Joëlle Hanna, Michael Mommert, and Damian Borth · 2022
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Contrastive Self-Supervised Data Fusion for Satellite Imagery
Linus Scheibenreif, Michael Mommert, and Damian Borth · 2022
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Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, and Xiao Xiang Zhu · 2022
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PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss, and Friedrich Fraundorfer · 2022
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Open Source Geospatial Foundation
GDAL, 2023 · 2023
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