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Despite recent advancements in image generation, diffusion models still remain largely underexplored in Earth Observation.
Storing and manipulating environmental big data with jasmin
Bryan N. Lawrence, Victoria L. Bennett, James Churchill, Martin Juckes, Philip Kershaw, Stephen Pascoe, Sam Pepler, Matthew Pritchard, and Ag Stephens · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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A review of applications of satellite earth observation data for global societal benefit and stewardship of planet earth
Pratistha Kansakar and Faisal Hossain · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, and Harrison Edwards · 2017
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Towards principled methods for training generative adversarial networks
Martin Arjovsky and Leon Bottou · 2017
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Joint learning from earth observation and openstreetmap data to get faster better semantic maps
Nicolas Audebert, Bertrand Le Saux, and Sébastien Lefèvre · 2017
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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.
Planet dump retrieved from https://planet.osm.org
OpenStreetMap contributors · 2017
Earlier work this paper cites.
Generative adversarial network-based restoration of speckled SAR images
Puyang Wang, He Zhang, and Vishal M. Patel · 2017
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, and Bing Zhang · 2020
Cited alongside, same era.
Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique
Hao Li, Benjamin Herfort, Wei Huang, Mohammed Zia, and Alexander Zipf · 2020
Cited alongside, same era.
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion
Jiayi Ma, Wei Yu, Chen Chen, Pengwei Liang, Xiaojie Guo, and Junjun Jiang · 2020
Cited alongside, same era.
YOLOrs: Object Detection in Multimodal Remote Sensing Imagery
Manish Sharma, Mayur Dhanaraj, Srivallabha Karnam, Dimitris G. Chachlakis, Raymond Ptucha, Panos P. Markopoulos, and Eli Saber · 2020
Cited alongside, same era.
HRPGAN: A GAN-based Model to Generate High-resolution Remote Sensing Images
Hai Sun, Ping Wang, Yifan Chang, Li Qi, Hailei Wang, Dan Xiao, Cheng Zhong, Xuelian Wu, Wenbo Li, and Bingyu Sun · 2020
Cited alongside, same era.
Image Augmentation for Satellite Images
Oluwadara Adedeji, Peter Owoade, Opeyemi Ajayi, and Olayiwola Arowolo · 2022
Later among the works it cites.
DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, and Vishal M. Patel · 2022
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Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection
Hao Li, Johannes Zech, Danfeng Hong, Pedram Ghamisi, Michael Schultz, and Alexander Zipf · 2022
Later among the works it cites.
Deep learning in multimodal remote sensing data fusion: A comprehensive review
Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, and Jocelyn Chanussot · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
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OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
John E. Vargas-Munoz, Shivangi Srivastava, Devis Tuia, and Alexandre X. Falcão · 2020
Cited alongside, same era.
From Historical OpenStreetMap data to customized training samples for geospatial machine learning
Zhaoyan Wu, Hao Li, and Alexander Zipf · 2020
Cited alongside, same era.
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks
Bekir Z. Demiray, Muhammed Sit, and Ibrahim Demir · 2021
Cited alongside, same era.
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning
Hao Li, Johannes Zech, Christina Ludwig, Sascha Fendrich, Aurelie Shapiro, Michael Schultz, and Alexander Zipf · 2021
Cited alongside, same era.
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities
Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, and Gustau Camps-Valls · 2021
Cited alongside, same era.
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification
Xin Wu, Danfeng Hong, and Jocelyn Chanussot · 2021
Cited alongside, same era.
Deep fake geography? When geospatial data encounter Artificial Intelligence
Bo Zhao, Shaozeng Zhang, Chunxue Xu, Yifan Sun, and Chengbin Deng · 2021
Cited alongside, same era.
World Imagery (Clarity), February 2022a
ArcGis · 2023
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World Imagery, July 2023b
ArcGis · 2023
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Diffusion models in medical imaging: A comprehensive survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, and Dorit Merhof · 2023
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Mask Conditional Synthetic Satellite Imagery
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, and Caleb Robinson · 2023
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Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang and Maneesh Agrawala · 2023
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Unsupervised Haze Removal for High-Resolution Optical Remote-Sensing Images Based on Improved Generative Adversarial Networks
Anna Hu, Zhong Xie, Yongyang Xu, Mingyu Xie, Liang Wu, and Qinjun Qiu · 2072
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Diffusion Model with Detail Complement for Super-Resolution of Remote Sensing
Jinzhe Liu, Zhiqiang Yuan, Zhaoying Pan, Yiqun Fu, Li Liu, and Bin Lu · 2072
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