Geometric estimation of the inherent dimensionality of single and multi-material clusters in hyperspectral imagery

Journal of Applied Remote Sensing

Volumn 3, Issue 1, 2009, Pages

  Schlamm, Ariel ^a   Messinger, David ^a   Basener, William ^a  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

hyperspace; inherent dimension

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; REMOTE SENSING; SPECTROSCOPY;

HYPER-SPECTRAL IMAGERIES; HYPERSPACE; INDIVIDUAL COMPONENTS; INHERENT DIMENSION; MINIMUM NOISE FRACTION; PRINCIPAL COMPONENTS ANALYSIS; STATISTICAL MEASURES; VIRTUAL DIMENSIONALITY;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77953749487     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.3133323     Document Type: Article

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