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SSLRA_V2

January 2019

DOI:10.13140/RG.2.2.16179.68648

Authors:

Helmholtz-Zentrum Dresden-Rossendorf

This code extracts sparse and smooth features from hyperspectral Images using SSLRA illustrated in 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.

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Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis

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