Geostatistical and local cluster analysis of high resolution hyperspectral imagery for detection of anomalies

Remote Sensing of Environment

Volumn 95, Issue 3, 2005, Pages 351-367

  Goovaerts, Pierre ^a   Jacquez, Geoffrey M ^a   Marcus, Andrew ^b  

^a BIOMEDWARE INC   (United States)

^b UNIVERSITY OF OREGON   (United States)

Author keywords

Factorial kriging; High resolution hyperspectral imagery; Principal component analysis

Indexed keywords

AUTOMATION; CORRELATION METHODS; MINES; PRINCIPAL COMPONENT ANALYSIS; REFLECTION; REMOTE SENSING; SIGNAL TO NOISE RATIO; SOILS;

AUTOCORRELATION; GEOSTATISTICAL CLUSTER ANALYSIS; LOCAL CLUSTER ANALYSIS; SPATIAL INFORMATION;

IMAGE SENSORS;

ANOMALY; CLUSTER ANALYSIS; GEOSTATISTICS; IMAGE ANALYSIS; MINE WASTE; REMOTE SENSING; SATELLITE IMAGERY; TAILINGS;

NORTH AMERICA; UNITED STATES; WESTERN HEMISPHERE; WORLD; YELLOWSTONE NATIONAL PARK;

EID: 15744396153     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2004.12.021     Document Type: Article

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