Tensor methods for hyperspeetral data analysis: a space object material identification study

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 25, Issue 12, 2008, Pages 3001-3012

  Zhang, Qiang ^a   Wang, Han ^b   Plemmons, Robert J ^b   Pauca, V Pau'l ^b  

^a WAKE FOREST UNIVERSITY HEALTH SCIENCES   (United States)

^b WAKE FOREST UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TENSORS;

ABUNDANCE ESTIMATIONS; DATA ANALYSIS; DATA-SETS; HYPER-SPECTRAL; HYPERSPECTRAL IMAGE DATUM; MATERIAL IDENTIFICATIONS; NOVEL METHODS; SPACE OBJECTS; TENSOR METHODS; TEST RESULTS;

DATA COMPRESSION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; MATERIALS TESTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPACE FLIGHT; SPECTROSCOPY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MATERIALS TESTING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPACECRAFT; SPECTRUM ANALYSIS;

EID: 60549111308     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.25.003001     Document Type: Article

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