Anomaly detection from hyperspectral imagery

IEEE Signal Processing Magazine

Volumn 19, Issue 1, 2002, Pages 58-69

  Stein, David W J ^a   Beaven, Scott G ^b   Hoff, Lawrence E ^c   Winter, Edwin M ^d   Schaum, Alan P ^e   Stocker, Alan D ^b  

^a Naval Command   (United States)

^b Space Computer Corporation ^*  (United States)

^c Hoff Engineering   (United States)

^d Technical Research Associates Inc   (United States)

^e NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ASYMPTOTIC STABILITY; DIGITAL FILTERS; ERROR ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; NORMAL DISTRIBUTION; OPTICAL SENSORS; PROBABILITY DENSITY FUNCTION; SIGNAL TO NOISE RATIO; STATISTICAL METHODS;

DETECTION ALGORITHM; HYPERSPECTRAL IMAGERY; LOCAL NORMAL MODEL; LONG WAVE INFRARED; MULTISPECTRAL SENSOR; RASTER SCANNING; SHORT WAVE INFRARED; TERRAIN CLASSIFICATION; TWO-DIMENSIONAL FOCAL PLANE ARRAY; VISIBLE TO NEAR INFRARED;

IMAGE PROCESSING;

EID: 85032751921     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/79.974730     Document Type: Article

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