Automatic endmember extraction using pixel purity index for hyperspectral imagery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9517, Issue , 2016, Pages 207-217

  Zhou, Qianlan ^a   Zhang, Jing ^a,b   Tian, Qi ^b   Zhuo, Li ^a,c   Geng, Wenhao ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b University of Texas at San Antonio   (United States)

^c BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Automatic pixel purity index; Endmember extraction; Hyperspectral image; Projection vector

Indexed keywords

ALGORITHMS; COVARIANCE MATRIX; EXTRACTION; LINEAR TRANSFORMATIONS; PIXELS; REMOTE SENSING; SPECTROSCOPY;

ENDMEMBER EXTRACTION; ENDMEMBER EXTRACTION ALGORITHMS; HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; MINIMUM NOISE FRACTION; NOISE COVARIANCE MATRIX; PIXEL PURITY INDEX; PROJECTION VECTORS;

IMAGE PROCESSING;

EID: 84955246723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-27674-8_19     Document Type: Conference Paper

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