Applying six classifiers to airborne hyperspectral imagery for detecting giant reed

Geocarto International

Volumn 27, Issue 5, 2012, Pages 413-424

  Yang, Chenghai ^a   Goolsby, John A ^a   Everitt, James H ^a   Du, Qian ^b  

^a KIKA DE LA GARZA SUBTROPICAL AGRICULTURAL RESEARCH CENTER   (United States)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

airborne hyperspectral imagery; giant reed; maximum likelihood; mixture tuned matched filtering (MTMF); support vector machine (SVM)

Indexed keywords

ACCURACY ASSESSMENT; AGRICULTURAL ECOSYSTEM; AIRBORNE SENSING; IMAGE ANALYSIS; INVASIVE SPECIES; MAXIMUM LIKELIHOOD ANALYSIS;

MEXICO [NORTH AMERICA]; UNITED STATES;

EID: 84864710377     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2011.643321     Document Type: Article

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