Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing

Author:

Chen Tao1ORCID,Liu Yang1,Zhang Yuxiang1ORCID,Du Bo2ORCID,Plaza Antonio3ORCID

Affiliation:

1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

2. School of Computer Science, Wuhan University, Wuhan, China

3. Department of Technology of Computers and Communications, Hyperspectral Computing Laboratory, Escuela Politécnica, University of Extremadura, Cáceres, Spain

Funder

National Natural Science Foundation of China

Opening fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology

Opening Foundation of the Qilian Mountain National Park Research Center

Opening Foundation of the Beijing Key Laboratory of Urban Spatial Information Engineering

Opening Foundation of the Geomatics Technology and Application Key Laboratory of Qinghai Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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