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In the realm of geospatial analysis, the diversity of remote sensors, encompassing both optical and microwave technologies, offers a wealth of distinct observational capabilities.
A comprehensive evaluation of filters for radar speckle suppression
Yongwei Sheng and Zong-Guo Xia · 1996
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Sentinel-2: Esa’s optical high-resolution mission for gmes operational services
M. Drusch, U. Del Bello, S. Carlier, O. Colin, V. Fernandez, F. Gascon, B. Hoersch, C. Isola, P. Laberinti, P. Martimort, A. Meygret, F. Spoto, O. Sy, F. Marchese, and P. Bargellini · 2012
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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
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Characterizing landscape spatial heterogeneity in multisensor images with variogram models
Bingwen Qiu, Canying Zeng, Chongcheng Cheng, Zhenghong Tang, Jianyang Gao, and Yinpo Sui · 2013
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Chapter 20 - sar interferometry and tomography: Theory and applications
Gianfranco Fornaro and Vito Pascazio · 2014
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A review of applications of satellite sar, optical, altimetry and dem data for surface water modelling, mapping and parameter estimation
Z. N. Musa, I. Popescu, and A. Mynett · 2015
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Compensatory water effects link yearly global land co2 sink changes to temperature
Martin Jung, Markus Reichstein, Christopher Schwalm, Chris Huntingford, Stephen Sitch, Anders Ahlström, Almut Arneth, Gustau Camps-Valls, Philippe Ciais, Pierre Friedlingstein, Fabian Gans, Kazuhito Ichii, Atul Jain, Etsushi Kato, Dario Papale, Ben Poulter, Botond Raduly, Christian Rödenbeck, Gianluca Tramontana, and Ning Zeng · 2017
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Fusion of sar and optical remote sensing data — challenges and recent trends
Michael Schmitt, Florence Tupin, and Xiaoxiang Zhu · 2017
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer, 2017
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean · 2017
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Functional map of the world, 2018
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
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Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
Sujit Madhab Ghosh and Mukunda Dev Behera · 2018
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A conditional generative adversarial network to fuse sar and multispectral optical data for cloud removal from sentinel-2 images
Claas Grohnfeldt, Michael Schmitt, and Xiaoxiang Zhu · 2018
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Cross-lingual language model pretraining, 2019
Guillaume Lample and Alexis Conneau · 2019
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In-domain representation learning for remote sensing
Maxim Neumann, André Susano Pinto, Xiaohua Zhai, and Neil Houlsby · 2019
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Deep learning and process understanding for data-driven earth system science
Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, and Mr Prabhat · 2019
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Sen12ms – a curated dataset of georeferenced multi-spectral sentinel-1/2 imagery for deep learning and data fusion
Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, and Xiao Xiang Zhu · 2019
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Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir, and Volker Markl · 2019
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Better fine-tuning by reducing representational collapse, 2020
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, and Sonal Gupta · 2020
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Geography-aware self-supervised learning
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, and Stefano Ermon · 2020
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Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross B. Girshick, and Kaiming He · 2020
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Unsupervised cross-lingual representation learning at scale, 2020
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2020
Cited alongside, same era.
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
Patrick Ebel, Andrea Meraner, Michael Schmitt, and Xiao Xiang Zhu · 2020
Cited alongside, same era.
Cloud removal in sentinel-2 imagery using a deep residual neural network and sar-optical data fusion
Andrea Meraner, Patrick Ebel, Xiao Xiang Zhu, and Michael Schmitt · 2020
Multimae: Multi-modal multi-task masked autoencoders, 2022
Roman Bachmann, David Mizrahi, Andrei Atanov, and Amir Zamir · 2022
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Self-supervised sar-optical data fusion of sentinel-1/-2 images
Yuxing Chen and Lorenzo Bruzzone · 2022
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Mod-squad: Designing mixture of experts as modular multi-task learners, 2022
Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik Learned-Miller, and Chuang Gan · 2022
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XLM-E: Cross-lingual language model pre-training via ELECTRA
Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, and Furu Wei · 2022
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Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B Lobell, and Stefano Ermon · 2022
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Cited alongside, same era.
The color out of space: learning self-supervised representations for earth observation imagery
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, and Simone Calderara · 2020
Cited alongside, same era.
Muppet: Massive multi-task representations with pre-finetuning
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, and Sonal Gupta · 2021
Cited alongside, same era.
The normalised sentinel-1 global backscatter model, mapping earth’s land surface with c-band microwaves
Bernhard Bauer-Marschallinger, Senmao Cao, Claudio Navacchi, Vahid Freeman, Felix Reuß, Dirk Geudtner, Björn Rommen, Francisco Ceba, Paul Snoeij, Evert Attema, Christoph Reimer, and Wolfgang Wagner · 2021
Cited alongside, same era.
Contrastive multiview coding with electro-optics for SAR semantic segmentation
Keumgang Cha, Junghoon Seo, and Yeji Choi · 2021
Cited alongside, same era.
On the generalization of agricultural drought classification from climate data
Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Markus Reichstein, Katja Weigel, Birgit Hassler, and Veronika Eyring · 2021
Cited alongside, same era.
A robust end-to-end method for parametric curve tracing via soft cosine-similarity-based objective function
Boran Han and Jeremy Vila · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Eva: Exploring the limits of masked visual representation learning at scale, 2022
Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao · 2022
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Tutel: Adaptive mixture-of-experts at scale
Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, and Yongqiang Xiong · 2022
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Self-supervised vision transformers for land-cover segmentation and classification
Linus Scheibenreif, Joëlle Hanna, Michael Mommert, and Damian Borth · 2022
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Ringmo: A remote sensing foundation model with masked image modeling
Xian Sun, Peijin Wang, Wanxuan Lu, Zicong Zhu, Xiaonan Lu, Qibin He, Junxi Li, Xuee Rong, Zhujun Yang, Hao Chang, Qinglin He, Guang Yang, Ruiping Wang, Jiwen Lu, and Kun Fu · 2022
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Uni-perceiver-moe: Learning sparse generalist models with conditional moes
Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, and Jifeng Dai · 2022
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Lightweight in-context tuning for multimodal unified models, 2023
Yixin Chen, Shuai Zhang, Boran Han, and Jiaya Jia · 2023
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Prediff: Precipitation nowcasting with latent diffusion models
Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, and Yuyang (Bernie) Wang · 2023
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Mdas: a new multimodal benchmark dataset for remote sensing
J. Hu, R. Liu, D. Hong, A. Camero, J. Yao, M. Schneider, F. Kurz, K. Segl, and X. X. Zhu · 2023
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Gfm: Building geospatial foundation models via continual pretraining, 2023
Matias Mendieta, Boran Han, Xingjian Shi, Yi Zhu, and Chen Chen · 2023
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Quality not quantity: On the interaction between dataset design and robustness of clip, 2023
Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, and Ludwig Schmidt · 2023
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Scaling vision-language models with sparse mixture of experts, 2023
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, and Yuxiong He · 2023
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High-frequency time series comparison of sentinel-1 and sentinel-2 satellites for mapping open and vegetated water across the united states (2017–2021)
Melanie K. Vanderhoof, Laurie Alexander, Jay Christensen, Kylen Solvik, Peter Nieuwlandt, and Mallory Sagehorn · 2023
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Dino-mc: Self-supervised contrastive learning for remote sensing imagery with multi-sized local crops, 2023
Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, and Michael Kirley · 2023
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Camml: Context-aware multimodal learner for large models, 2024
Yixin Chen, Shuai Zhang, Boran Han, Tong He, and Bo Li · 2024
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