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Geospatial Foundation Models (GFMs) have emerged as powerful tools for extracting representations from Earth observation data, but their evaluation remains inconsistent and narrow.
Learning spatial context: Using stuff to find things
Geremy Heitz and Daphne Koller · 2008
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.
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.
Satellite image classification via two-layer sparse coding with biased image representation
Dengxin Dai and Wen Yang · 2011
Earlier work this paper cites.
The isprs benchmark on urban object classification and 3d building reconstruction
Franz Rottensteiner, Gunho Sohn, Jaewook Jung, Markus Gerke, Caroline Baillard, Sebastien Benitez, and Uwe Breitkopf · 2012
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.
Vehicle detection in aerial imagery: A small target detection benchmark
Sebastien Razakarivony and Frederic Jurie · 2016
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.
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.
Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 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.
Zhiwei Li, Huanfeng Shen, Qing Cheng, Yuhao Liu, Shucheng You, and Zongyi He · 2018
Earlier work this paper cites.
Fully convolutional siamese networks for change detection
Rodrigo Caye Daudt, Bertr Le Saux, and Alexandre Boulch · 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.
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.
Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir, and Volker Markl · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Cloud-net: An end-to-end cloud detection algorithm for landsat 8 imagery
Sorour Mohajerani and Parvaneh Saeedi · 2019
Earlier work this paper cites.
Spacenet: A remote sensing dataset and challenge series, 2019
Adam Van Etten, Dave Lindenbaum, and Todd M. Bacastow · 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.
Unsupervised image regression for heterogeneous change detection
Luigi T Luppino, Filippo M Bianchi, Gabriele Moser, and Stian N Anfinsen · 2019
Earlier work this paper cites.
xbd: A dataset for assessing building damage from satellite imagery, 2019
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric Heim, Howie Choset, and Matthew Gaston · 2019
Earlier work this paper cites.
Creating xbd: A dataset for assessing building damage from satellite imagery
Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric Heim, Jigar Doshi, Keane Lucas, Howie Choset, and Matthew Gaston · 2019
Earlier work this paper cites.
Semantic segmentation of crop type in africa: A novel dataset and analysis of deep learning methods
Rose Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, and David Lobell · 2019
Earlier work this paper cites.
Brazildam: A benchmark dataset for tailings dam detection
Edemir Ferreira, Matheus Brito, Remis Balaniuk, Mário S Alvim, and Jefersson A dos Santos · 2020
Earlier work this paper cites.
Forestnet: Classifying drivers of deforestation in indonesia using deep learning on satellite imagery, 2020
Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, and Andrew Y. Ng · 2020
Earlier work this paper cites.
Object detection in optical remote sensing images: A survey and a new benchmark
Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, and Junwei Han · 2020
Earlier work this paper cites.
Small-object detection in remote sensing images with end-to-end edge-enhanced gan and object detector network
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, and Dennis Chao · 2020
Earlier work this paper cites.
A spatial-temporal attention-based method and a new dataset for remote sensing image change detection
Hao Chen and Zhenwei Shi · 2020
Earlier work this paper cites.
Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
Earlier work this paper cites.
Flood detection in time series of optical and sar images
Clément Rambour, Nicolas Audebert, E Koeniguer, Bertrand Le Saux, M Crucianu, and Mihai Datcu · 2020
Earlier work this paper cites.
Sen1floods11: A georeferenced dataset to train and test deep learning flood algorithms for sentinel-1
Derrick Bonafilia, Beth Tellman, Tyler Anderson, and Erica Issenberg · 2020
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy · 2020
Earlier work this paper cites.
Lightweight temporal self-Attention for classifying satellite images time series
Vivien Sainte Fare Garnot and Loic Landrieu · 2020
Earlier work this paper cites.
Toward foundation models for earth monitoring: Proposal for a climate change benchmark, 2021
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodriguez, and David Vazquez · 2021
Earlier work this paper cites.
Sustainbench: Benchmarks for monitoring the sustainable development goals with machine learning, 2021
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David B. Lobell, and Stefano Ermon · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Bigearthnet-mm: A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [software and data sets]
Gencer Sumbul, Arne De Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir, and Volker Markl · 2021
Earlier work this paper cites.
Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
Dan M. Kluger, Sherrie Wang, and David B. Lobell · 2021
Earlier work this paper cites.
Object detection in aerial images: A large-scale benchmark and challenges. arxiv 2021
J Ding, N Xue, GS Xia, X Bai, W Yang, MY Yang, S Belongie, J Luo, M Datcu, M Pelillo, et al · 2021
Earlier work this paper 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
Earlier work this paper cites.
Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Earlier work this paper cites.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Earlier work this paper cites.
Geography-aware self-supervised learning
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David Lobell, and Stefano Ermon · 2021
Earlier work this paper cites.
Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data
Oscar Manas, Alexandre Lacoste, Xavier Giró-i Nieto, David Vazquez, and Pau Rodriguez · 2021
Earlier work this paper cites.
Barlow twins: Self-supervised learning via redundancy reduction
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny · 2021
Earlier work this paper cites.
Synthesizing optical and sar imagery from land cover maps and auxiliary raster data
Gerald Baier, Antonin Deschemps, Michael Schmitt, and Naoto Yokoya · 2021
Earlier work this paper cites.
Panoptic segmentation of satellite image time series with convolutional temporal attention networks
Vivien Sainte Fare Garnot and Loic Landrieu · 2021
Earlier work this paper cites.
The multi-temporal urban development spacenet dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez Manso, Jacob Shermeyer, Nicholas Weir, and Ryan Lewis · 2021
Earlier work this paper cites.
Towards a foundation model for geospatial artificial intelligence (vision paper)
Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, and Stefano Ermon · 2022
Earlier work this paper cites.
Satlas: A large-scale, multi-task dataset for remote sensing image understanding
Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, and Aniruddha Kembhavi · 2022
Earlier work this paper cites.
Aerial scene parsing: From tile-level scene classification to pixel-wise semantic labeling, 2022
Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, and Deren Li · 2022
Earlier work this paper cites.
Meter-ml: A multi-sensor earth observation benchmark for automated methane source mapping, 2022
Bryan Zhu, Nicholas Lui, Jeremy Irvin, Jimmy Le, Sahil Tadwalkar, Chenghao Wang, Zutao Ouyang, Frankie Y. Liu, Andrew Y. Ng, and Robert B. Jackson · 2022
Earlier work this paper cites.
xview3-sar: Detecting dark fishing activity using synthetic aperture radar imagery, 2022
Fernando Paolo, Tsu ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, and Jared Dunnmon · 2022
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Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation, 2022
Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zhong · 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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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, Çağlar Şenaras, Timothy Davis, Daniel Cremers, et al · 2022
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3dcd: A new dataset for 2d and 3d change detection using deep learning techniques
V Coletta, V Marsocci, and R Ravanelli · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022
Ss-mae: Spatial-spectral masked auto-encoder for multi-source remote sensing image classification, 2023
Junyan Lin, Feng Gao, Xiaocheng Shi, Junyu Dong, and Qian Du · 2023
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Enabling country-scale land cover mapping with meter-resolution satellite imagery
Xin-Yi Tong, Gui-Song Xia, and Xiao Xiang Zhu · 2023
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Ai4smallfarms: A dataset for crop field delineation in southeast asian smallholder farms
Claudio Persello, Jeroen Grift, Xinyan Fan, Claudia Paris, Ronny Hänsch, Mila Koeva, and Andrew Nelson · 2023
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Gfm: Building geospatial foundation models via continual pretraining
Matias Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, and Mu Li · 2023
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When geoscience meets foundation models: Towards general geoscience artificial intelligence system, 2024
Hao Zhang, Jin-Jian Xu, Hong-Wei Cui, Lin Li, Yaowen Yang, Chao-Sheng Tang, and Niklas Boers · 2024
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Self-supervised learning in remote sensing: A review
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, and Xiao Xiang Zhu · 2022
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An empirical study of remote sensing pretraining
Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, and Dacheng Tao · 2022
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Masked autoencoders are scalable vision learners
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data2vec: A general framework for self-supervised learning in speech, vision and language
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Ringmo: A remote sensing foundation model with masked image modeling
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