Spectral difference analysis and airborne imaging classification for citrus greening infected trees

Computers and Electronics in Agriculture

Volumn 83, Issue , 2012, Pages 32-46

  Li, Xiuhua ^a,b   Lee, Won Suk ^b   Li, Minzan ^a   Ehsani, Reza ^c   Mishra, Ashish Ratn ^c   Yang, Chenghai ^d   Mangan, Robert L ^d  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b University of Florida   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

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

Author keywords

Airborne imaging; Citrus greening; Disease detection; Image classification; Spectral analysis

Indexed keywords

AIRBORNE IMAGES; AIRBORNE IMAGING; BACKGROUND NOISE; BALANCED DETECTION; CITRUS GREENING; CITRUS GROVES; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLASSIFICATION RESULTS; DATA SETS; DENSITY MAPS; DISEASE DETECTION; DISEASE SPREAD; FLORIDA; GROUND REFLECTANCE; GROUND TRUTH; GROUND TRUTHING; HUANGLONGBING; HYPERSPECTRAL; INDOOR MEASUREMENT; INFECTED TREES; MAHALANOBIS DISTANCES; MINIMUM DISTANCE; MULTI-SPECTRAL; NEAR-INFRARED RANGE; POSITIONING ERROR; RED EDGE POSITION; SPATIAL RESOLUTION; SPECTRAL DIFFERENCES; SPECTRAL IMAGING; SPECTRAL MEASUREMENT; SUPPORT VECTOR MACHINE (SVM); THRESHOLD METHODS; TRAINING SETS; TREE CANOPY; VALIDATION SETS; VISIBLE RANGE;

EPIDEMIOLOGY; IMAGE CLASSIFICATION; INFRARED DEVICES; REFLECTION; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES;

FORESTRY;

ACCURACY ASSESSMENT; AIRBORNE SENSING; BACTERIAL DISEASE; CANOPY; DATA SET; DISEASE SPREAD; DISEASE TREATMENT; FRUIT; GPS; IMAGE CLASSIFICATION; SPATIAL RESOLUTION; SPECTRAL ANALYSIS;

CLASSIFICATION; DISEASES; FLORIDA; IMAGE ANALYSIS; INFRARED DETECTORS; INFRARED RADIATION; REFLECTION;

FLORIDA [UNITED STATES]; UNITED STATES;

CITRUS;

EID: 84862820164     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.01.010     Document Type: Article

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