Ming-Zhong Pan

LoR-SGS++: Residual spectral-spatial refinement for low-rank Gaussian hyperspectral image compression

Hyperspectral imaging acquires rich scene information by capturing hundreds of contiguous bands across ultra-violet, visible, infrared, and other spectral ranges, making it valuable for remote sensing and material analysis. However, the resulting data volumes demand efficient compression to reduce storage and transmiss...