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Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others.
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
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Hyperion, a space-based imaging spectrometer
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Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
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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 · 2012
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Remote sensing and GIS for natural hazards assessment and disaster risk management
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Multi-class geospatial object detection and geographic image classification based on collection of part detectors
Gong Cheng, Junwei Han, Peicheng Zhou, and Lei Guo. 2014 · 2014
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Landsat-8: Science and product vision for terrestrial global change research
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How transferable are features in deep neural networks?
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What makes ImageNet good for transfer learning?
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A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Dengsheng Lu, Qi Chen, Guangxing Wang, Lijuan Liu, Guiying Li, and Emilio Moran. 2016 · 2016
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torchvision: Datasets, Transforms and Models specific to Computer Vision
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A large contextual dataset for classification, detection and counting of cars with deep learning. In European Conference on Computer Vision . Springer, 785–800
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torchtext: Data loaders and abstractions for text and NLP
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Remote Sensing Image Scene Classification: Benchmark and State of the Art
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Decoupled weight decay regularization
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Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2019 · 2018
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Fully convolutional Siamese networks for change detection. In 2018 25th IEEE International Conference on Image Processing (ICIP) . IEEE, 4063–4067
Rodrigo Caye Daudt, Bertr Le Saux, and Alexandre Boulch. 2018a · 2018
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Urban change detection for multispectral earth observation using convolutional neural networks. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium . IEEE, 2115–2118
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Progressive neural architecture search. In Proceedings of the European conference on computer vision (ECCV) . 19–34
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Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models
Bootstrap your own latent: A new approach to self-supervised learning
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Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. In Computer Vision – ECCV 2020 , Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm (Eds.). Springer International Publishing, Cham, 68–84
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, and Dejing Dou. 2020 · 2020
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Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System
Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, and Jeffrey Miller. 2020 · 2020
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Kornia: an open source differentiable computer vision library for PyTorch. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 3674–3683
Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, and Gary Bradski. 2020 · 2020
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Diego Marcos, Michele Volpi, Benjamin Kellenberger, and Devis Tuia. 2018 · 2018
Cited alongside, same era.
GlobBiomass - global datasets of forest biomass
Maurizio Santoro. 2018 · 2018
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SpaceNet: A remote sensing dataset and challenge series
Adam Van Etten, Dave Lindenbaum, and Todd M Bacastow. 2018 · 2018
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PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval
Weixun Zhou, Shawn Newsam, Congmin Li, and Zhenfeng Shao. 2018 · 2018
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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 · 2019
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Using pre-training can improve model robustness and uncertainty. In International Conference on Machine Learning . PMLR, 2712–2721
Dan Hendrycks, Kimin Lee, and Mantas Mazeika. 2019 · 2019
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Tile2Vec: Unsupervised representation learning for spatially distributed data. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 33. 3967–3974
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, and Stefano Ermon. 2019 · 2019
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In-domain representation learning for remote sensing
Maxim Neumann, Andre Susano Pinto, Xiaohua Zhai, and Neil Houlsby. 2019 · 2019
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Land-cover classification with high-resolution remote sensing images using transferable deep models
Xin-Yi Tong, Gui-Song Xia, Qikai Lu, Huanfeng Shen, Shengyang Li, Shucheng You, and Liangpei Zhang. 2020 · 2020
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WingtraOne mapping drone and Sony RX1R II camera
Wingtra AG. 2021 · 2021
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Geography-aware self-supervised learning. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 10181–10190
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David Lobell, and Stefano Ermon. 2021 · 2021
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LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads From Aerial Imagery. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1102–1110
Adrian Boguszewski, Dominik Batorski, Natalia Ziemba-Jankowska, Tomasz Dziedzic, and Anna Zambrzycka. 2021 · 2021
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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 · 2021
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Data science competition for cross-site delineation and classification of individual trees from airborne remote sensing data
Sarah J. Graves, Sergio Marconi, Dylan Stewart, Ira Harmon, Ben G. Weinstein, Yuzi Kanazawa, Victoria M. Scholl, Maxwell B. Joseph, Joseph McClinchy, et al · 2021
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Smallholder Cashew Plantations in Benin
Z. Jin, C. Lin, C. Weigl, J. Obarowski, and D. Hale. 2021 · 2021
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Global land use / land cover with Sentinel 2 and deep learning. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS . 4704–4707
Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph C. Mazzariello, Mark Mathis, and Steven P. Brumby. 2021a · 2021
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Global land use/land cover with Sentinel 2 and deep learning. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS . IEEE, 4704–4707
Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph C Mazzariello, Mark Mathis, and Steven P Brumby. 2021b · 2021
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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Mañas, Alexandre Lacoste, Xavier Giro-i Nieto, David Vazquez, and Pau Rodriguez. 2021 · 2021
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ETCI 2021 Competition on Flood Detection
NASA-IMPACT. 2021 · 2021
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Resolving label uncertainty with implicit generative models
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, and Nebojsa Jojic. 2021a · 2021
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A generalizable and accessible approach to machine learning with global satellite imagery
Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, and Solomon Hsiang. 2021b · 2021
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S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Yue Zhang, Ao Zhang, Shouye Lv, et al · 2021
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Continental-scale building detection from high resolution satellite imagery
Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cisse, and John Quinn. 2021 · 2021
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How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner, Alexander Kolesnikov, Xiaohua Zhai, Ross Wightman, Jakob Uszkoreit, and Lucas Beyer. 2021 · 2021
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FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, and Kun Fu. 2021 · 2021
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WorldView satellite imagery
Maxar Technologies. 2021 · 2021
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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 · 2021
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TorchAudio: Building Blocks for Audio and Speech Processing
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, and Yangyang Shi. 2021 · 2021
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GDAL/OGR Geospatial Data Abstraction software Library
GDAL/OGR contributors. 2022 · 2022
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