Ping Ma

Highly-Constrained Unsupervised Hyperspectral Band Selection via Quality-aware Latent Feature Clustering

Unsupervised band selection (UBS), which reduces dimensionality without relying on costly labeled data, is pivotal for hyperspectral image (HSI) analysis. However, highly-constrained UBS scenarios, defined by selecting fewer than ten bands, present significant challenges in achieving promising performance for downstrea...