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Interpreting remote sensing imagery enables numerous downstream applications ranging from land-use planning to deforestation monitoring.
Land cover mapping of large areas from satellites: status and research priorities
J Cihlar · 2000
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From space to species: ecological applications for remote sensing
Jeremy T. Kerr and Marsha Ostrovsky · 2003
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Remote sensing technology for mapping and monitoring land-cover and land-use change
John Rogan and DongMei Chen · 2004
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Land use or land cover?
Alexis J Comber · 2008
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Comparison of global and regional land cover maps with statistical information for the agricultural domain in africa
Steffen Fritz, Linda See, and Felix Rembold · 2010
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Structural high-resolution satellite image indexing
Gui-Song Xia, Wen Yang, Julie Delon, Yann Gousseau, Hong Sun, and Henri MaÎtre · 2010
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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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Satellite image classification via two-layer sparse coding with biased image representation
Dengxin Dai and Wen Yang · 2011
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Estimating deforestation in tropical humid and dry forests in madagascar from 2000 to 2010 using multi-date landsat satellite images and the random forests classifier
Clovis Grinand, Fety Rakotomalala, Valéry Gond, Romuald Vaudry, Martial Bernoux, and Ghislain Vieilledent · 2013
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Global land cover mapping: A review and uncertainty analysis
Russell G Congalton, Jianyu Gu, Kamini Yadav, Prasad Thenkabail, and Mutlu Ozdogan · 2014
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Deepsat: a learning framework for satellite imagery
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, and Ramakrishna Nemani · 2015
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Monitoring and modeling of urban sprawl through remote sensing and gis in kuala lumpur, malaysia
Mukesh Singh Boori, Maik Netzband, Komal Choudhary, and Vít Voženílek · 2015
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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
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Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery
Bei Zhao, Yanfei Zhong, Gui-Song Xia, and Liangpei Zhang · 2015
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Deep learning based feature selection for remote sensing scene classification
Qin Zou, Lihao Ni, Tong Zhang, and Qian Wang · 2015
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Land cover and land use indicators: review of available data
Vasco Diogo and Eric Koomen · 2016
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Optical remotely sensed time series data for land cover classification: A review
Cristina Gómez, Joanne C. White, and Michael A. Wulder · 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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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
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Deep semantic understanding of high resolution remote sensing image
Bo Qu, Xuelong Li, Dacheng Tao, and Xiaoqiang Lu · 2016
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Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
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The fisher kernel coding framework for high spatial resolution scene classification
Bei Zhao, Yanfei Zhong, Liangpei Zhang, and Bo Huang · 2016
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Feature significance-based multibag-of-visual-words model for remote sensing image scene classification
Lijun Zhao, Ping Tang, and Lianzhi Huo · 2016
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Bag-of-visual-words scene classifier with local and global features for high spatial resolution remote sensing imagery
Qiqi Zhu, Yanfei Zhong, Bei Zhao, Gui-Song Xia, and Liangpei Zhang · 2016
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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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Accurate object localization in remote sensing images based on convolutional neural networks
Yang Long, Yiping Gong, Zhifeng Xiao, and Qing Liu · 2017
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Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (mrv) systems for redd+
Anthea L Mitchell, Ake Rosenqvist, and Brice Mora · 2017
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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
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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
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Deep learning based damage detection on post-hurricane satellite imagery
Quoc Dung Cao and Youngjun Choe · 2018
Cited alongside, same era.
Multilabel remote sensing image retrieval using a semisupervised graph-theoretic method
Bindita Chaudhuri, Begüm Demir, Subhasis Chaudhuri, and Lorenzo Bruzzone · 2018
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Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
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Ships in satellite imagery
Robert Hammell · 2018
Cited alongside, same era.
Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Patrick Helber, Benjamin Bischke, Andreas Dengel, and Damian Borth · 2018
Cited alongside, same era.
Exploring models and data for remote sensing image caption generation
Grand challenges in satellite remote sensing
Oleg Dubovik, Gregory L. Schuster, Feng Xu, Yongxiang Hu, Hartmut Bösch, Jochen Landgraf, and Zhengqiang Li · 2021
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A framework for few-shot language model evaluation, Sept. 2021
Leo Gao, Jonathan Tow, Stella Biderman, Sid Black, Anthony DiPofi, Charles Foster, Laurence Golding, Jeffrey Hsu, Kyle McDonell, Niklas Muennighoff, Jason Phang, Laria Reynolds, Eric Tang, Anish Thite, Ben Wang, Kevin Wang, and Andy Zou · 2021
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Towards the creation of a canadian land-use dataset for agricultural land classification
Amanda A Boatswain Jacques, Abdoulaye Baniré Diallo, and Etienne Lord · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
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Datasets: A community library for natural language processing
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander Rush, and Thomas Wolf · 2021
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Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, and Xuelong Li · 2018
Cited alongside, same era.
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut · 2018
Cited alongside, same era.
Geographic information systems and glacial environments
K Wagner · 2018
Cited alongside, same era.
Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman · 2018
Cited alongside, same era.
Scene classification with recurrent attention of vhr remote sensing images
Qi Wang, Shaoteng Liu, Jocelyn Chanussot, and Xuelong Li · 2018
Cited alongside, same era.
Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval
Weixun Zhou, Shawn Newsam, Congmin Li, and Zhenfeng Shao · 2018
Cited alongside, same era.
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.
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 2021
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Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, and Junjie Yan · 2021
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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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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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Airbus wind turbine patches
Airbus DS GEO S.A · 2021
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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki · 2021
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Filip: fine-grained interactive language-image pre-training
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, and Chunjing Xu · 2021
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Nasc-tg2: Natural scene classification with tiangong-2 remotely sensed imagery
Zhuang Zhou, Shengyang Li, Wei Wu, Weilong Guo, Xuan Li, and Guisong Xiaand Zifei Zhao · 2021
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Satlas: A large-scale, multi-task dataset for remote sensing image understanding
Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, and Aniruddha Kembhavi · 2022
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Nevis’22: A stream of 100 tasks sampled from 30 years of computer vision research
Jorg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, et al · 2022
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Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev · 2022
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Open high-resolution satellite imagery: The worldstrat dataset–with application to super-resolution
Julien Cornebise, Ivan Oršolić, and Freddie Kalaitzis · 2022
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Cyclip: Cyclic contrastive language-image pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A Rossi, Vishwa Vinay, and Aditya Grover · 2022
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Elevater: A benchmark and toolkit for evaluating language-augmented visual models
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, et al · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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Holistic evaluation of language models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al · 2022
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A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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Slip: Self-supervision meets language-image pre-training
Norman Mu, Alexander Kirillov, David Wagner, and Saining Xie · 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, et al · 2022
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al · 2022
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Earthnets: Empowering ai in earth observation
Zhitong Xiong, Fahong Zhang, Yi Wang, Yilei Shi, and Xiao Xiang Zhu · 2022
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Current trends in deep learning for earth observation: An open-source benchmark arena for image classification
Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, and Nikola Simidjievski · 2023
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Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
Closest in time.