High spectral and spatial resolution hyperspectral imagery for quantifying Russian wheat aphid infestation in wheat using the constrained energy minimization classifier

Journal of Applied Remote Sensing

Volumn 8, Issue 1, 2014, Pages

  Mirik, Mustafa ^a   Ansley, R James ^a   Steddom, Karl ^b   Rush, Charles M ^a   Michels, Gerald J ^a   Workneh, Fekede ^a   Cui, Song ^c   Elliott, Norman C ^d  

^a TEXAS A AND M UNIVERSITY   (United States)

^b Kilgore College   (United States)

^c MIDDLE TENNESSEE STATE UNIVERSITY   (United States)

^d USDA ARS   (United States)

Author keywords

Geospatial data; Hyperspectral imagery; Insect infestation; Pest management; Remote sensing; Russian wheat aphid; Wheat

Indexed keywords

CROPS; DAMAGE DETECTION; IMAGE CLASSIFICATION; IMAGE RESOLUTION; INFRARED DEVICES; PLANTS (BOTANY); REFLECTION; SPECTROSCOPY;

GEO-SPATIAL DATA; HYPER-SPECTRAL IMAGERIES; INSECT INFESTATIONS; PEST MANAGEMENT; RUSSIAN WHEAT APHID; WHEAT;

REMOTE SENSING;

EID: 84896939253     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.8.083661     Document Type: Article

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