A beamforming microwave interferometric radiometer (BF-MIR) is proposed that uses beamforming antennas in sparse arrays with large ASRF to reduce element count, suppress TB aliasing, and enable dynamic steering for high-resolution passive imaging.
Onboard Information Fusion for Multisatellite Collaborative Observation: Summary, challenges, and perspectives,
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Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.
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A Beamforming Microwave Interferometric Radiometer for High-resolution Passive Imaging: Concept, Modeling, and Preliminary Demonstration
A beamforming microwave interferometric radiometer (BF-MIR) is proposed that uses beamforming antennas in sparse arrays with large ASRF to reduce element count, suppress TB aliasing, and enable dynamic steering for high-resolution passive imaging.
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Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensing
Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.