Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery

Author:

Zhong Yanfei,Wang Xinyu,Zhao Lin,Feng Ruyi,Zhang Liangpei,Xu Yanyan

Funder

National Natural Science Foundation of China

State Key Laboratory of Earth Surface Processes and Resource Ecology

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference54 articles.

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3. Hyperspectral remote sensing data analysis and future challenges;Bioucas-Dias;IEEE Geosci. Remote Sens. Mag.,2013

4. Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches;Bioucas-Dias;IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.,2012

5. Underdetermined blind source separation using sparse representations;Bofill;Signal Process.,2001

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