Investigation of nonlinearity in hyperspectral imagery using surrogate data methods

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 10, 2008, Pages 2840-2847

  Han, Tian ^a,b   Goodenough, David G ^b,c  

^a ANIMAL HEALTH CENTRE   (Canada)

^b UNIVERSITY OF VICTORIA   (Canada)

^c PACIFIC FORESTRY CENTRE   (Canada)

Author keywords

Airborne Visible Infrared Imaging Spectrometer (AVIRIS); Hyperspectral; Nonlinearity; Statistical test; Surrogate

Indexed keywords

ATMOSPHERICS; SET THEORY; STATISTICAL METHODS; STATISTICAL TESTS; STATISTICS; STOCHASTIC PROGRAMMING; TIME SERIES ANALYSIS;

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETER (AVIRIS); HYPERSPECTRAL; NONLINEARITY; STATISTICAL TEST; SURROGATE;

FORESTRY;

ALGORITHMS; DATA PROCESSING; IMAGE QUALITY; REMOTE SENSING; SIMULATION; SPECTROMETERS; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS;

EID: 53849126897     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2002952     Document Type: Conference Paper

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