SSCE-Net: a spatio-spectral co-enhancement network for compressive sensing reconstruction of hyperspectral images
Experimental results demonstrate that under various low-sampling-rate settings, the proposed SSCE-Net method achieves superior reconstruction performance compared to existing methods on datasets such as CAVE and KAIST, thereby validating its effectiveness and robustness in low-sampling-rate HSI reconstruction tasks.