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We present a sensor-agnostic spectral transformer as the basis for spectral foundation models.
“Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites,”
Alan S Belward and Jon O Skøien, · 2015
Earlier work this paper cites.
“Application of machine learning to prediction of vegetation health,”
Emily Burchfield, John J Nay, and Jonathan Gilligan, · 2016
Earlier work this paper cites.
“Mapping red edge-based vegetation health indicators using landsat tm data for australian native vegetation cover,”
Ali Shamsoddini and Simitkumar Raval, · 2018
Earlier work this paper cites.
Lu Lu, Pengzhan Jin, and George Em Karniadakis, · 2019
Earlier work this paper cites.
“Big earth data: disruptive changes in earth observation data management and analysis?,”
Martin Sudmanns, Dirk Tiede, Stefan Lang, Helena Bergstedt, Georg Trost, Hannah Augustin, Andrea Baraldi, and Thomas Blaschke, · 2020
Earlier work this paper cites.
“Machine learning information fusion in earth observation: A comprehensive review of methods, applications and data sources,”
Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles, Martin Werner, Lucas Cuadra, A Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, and Gustau Camps-Valls, · 2020
Cited alongside, same era.
“Spatio-temporal analysis of oil spill impact and recovery pattern of coastal vegetation and wetland using multispectral satellite landsat 8-oli imagery and machine learning models,”
Abdul-Lateef Balogun, Shamsudeen Temitope Yekeen, Biswajeet Pradhan, and Omar F Althuwaynee, · 2020
Cited alongside, same era.
“On the opportunities and risks of foundation models,”
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al., · 2021
Cited alongside, same era.
“Spectralformer: Rethinking hyperspectral image classification with transformers,”
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, and Jocelyn Chanussot, · 2021
Cited alongside, same era.
“SS-MAE: Spatial–spectral masked autoencoder for multisource remote sensing image classification,”
Junyan Lin, Feng Gao, Xiaochen Shi, Junyu Dong, and Qian Du, · 2023
Later among the works it cites.
Accessed: 2023-10-01
“2013 IEEE GRSS data fusion contest,” https://hyperspectral.ee.uh.edu/?page_id=459 , · 2023
Later among the works it cites.
“Spectralgpt: Spectral remote sensing foundation model,”
Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, et al., · 2024
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“Hypersigma: Hyperspectral intelligence comprehension foundation model,”
Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, et al., · 2024
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“Neural plasticity-inspired foundation model for observing the earth crossing modalities,”
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, and Xiao Xiang Zhu, · 2024
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“Improved architectures and training algorithms for deep operator networks,”
Sifan Wang, Hanwen Wang, and Paris Perdikaris, · 2022
Cited alongside, same era.
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