Multiple-Feature Kernel-Based Probabilistic Clustering for Unsupervised Band Selection

摘要

This paper presents a new method to perform unsupervised band selection (UBS) with hyperspectral data. The method provides a probabilistic clustering approach. The band images are clustered in the image space by computing their posterior class probability