Hyperspectral remote sensing image feature extraction based on spectral clustering and subclass discriminant analysis

• Published in: Remote sensing letters Vol. 11; no. 2; pp. 166 - 175
• Main Authors: Liu, Jing, Guo, Ximei, Liu, Yi
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.02.2020; Taylor & Francis Ltd
• Subjects: Analysis; Clustering; data collection; Discriminant analysis; Feature extraction; Remote sensing; Spectra; Subspaces

Hyperspectral remote sensing images (HRSIs) have the problems of high dimensionality and phenomenon of the same subject with different spectra. A class subdivision and feature extraction method based on spectral clustering (SC) and subclass discriminant analysis (SDA), namely SC-SDA, is presented. F...