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Earthnets: Empowering ai in earth observation
Z ** from satellite time series
Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …
information, while C-band radar captures useful geometrical information and is immune to …
Cropharvest: A global dataset for crop-type classification
Remote sensing datasets pose a number of interesting challenges to machine learning
researchers and practitioners, from domain shift (spatially, semantically and temporally) to …
researchers and practitioners, from domain shift (spatially, semantically and temporally) to …
Turbulence in focus: Benchmarking scaling behavior of 3d volumetric super-resolution with blastnet 2.0 data
Abstract Analysis of compressible turbulent flows is essential for applications related to
propulsion, energy generation, and the environment. Here, we present BLASTNet 2.0, a 2.2 …
propulsion, energy generation, and the environment. Here, we present BLASTNet 2.0, a 2.2 …
Position: mission critical–satellite data is a distinct modality in machine learning
Satellite data has the potential to inspire a seismic shift for machine learning---one in which
we rethink existing practices designed for traditional data modalities. As machine learning …
we rethink existing practices designed for traditional data modalities. As machine learning …
[HTML][HTML] Self-supervised audiovisual representation learning for remote sensing data
Many deep learning approaches make extensive use of backbone networks pretrained on
large datasets like ImageNet, which are then fine-tuned. In remote sensing, the lack of …
large datasets like ImageNet, which are then fine-tuned. In remote sensing, the lack of …
Review of synthetic aperture radar with deep learning in agricultural applications
Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …
schedule and not being affected by cloud cover and variations between day and night, have …