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Harbin Institute of Technology
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PF-Trans achieves a remarkable PSNR of 48.50 dB, setting a new benchmark for spectral reconstruction in remote sensing.
Illumination variations can be tackled without prior metadata, enabling precise anomaly detection in dense forest environments.
Attention mechanisms in a two-stream framework boost classification accuracy of airborne multispectral point clouds by effectively integrating spatial-spectral features.
Explicitly modeling occlusion intensity boosts UAV 3D object detection performance by over 9% in challenging environments.
