/SSLRA

Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis

MIT LicenseMIT

SSLRA

Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis This code extracts sparse and smooth features from hyperspectral Images. Please cite the following Paper B. Rasti, Pedram Ghamisi, and M. O. Ulfarsson,” Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis”, Remote Sens. 2019, 11(2), 121.