Semi-Supervised Hyperspectral Unmixing: Integration of Fixed and Variable End-members

Abstract

This study introduces a semi-supervised hyperspectral unmixing method, where some specific end-members are known upfront, while others are estimated during the unmixing process. Validation on a brain tissue histological image stained with eosin and hematoxylin confirms its effectiveness.