Robust hyperspectral vision-based classification for multi-season weed mapping

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 69, Issue , 2012, Pages 65-73

  Zhang, Yun ^a   Slaughter, David C ^a   Staab, Erik S ^a  

^a University of California   (United States)

Author keywords

Computer vision; Machine learning; Multiclassifier system; Plant recognition; Seasonal variability; Weed control

Indexed keywords

BAYESIAN CLASSIFIER; CANOPY REFLECTANCE; CLASSIFICATION ACCURACY; DATA SETS; DISCRIMINATION ACCURACY; ENVIRONMENTAL CONDITIONS; ERROR RATE; EXPERT KNOWLEDGE; FIELD CONDITIONS; GLOBAL CALIBRATION; HISTORICAL DATA; HYPERSPECTRAL; IMAGE-BASED; MACHINE VISION SYSTEMS; MULTICLASSIFIER SYSTEM; PLANT RECOGNITION; SEASONAL VARIABILITY; VISION BASED;

LEARNING SYSTEMS; WEED CONTROL;

COMPUTER VISION;

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; CALIBRATION; CANOPY REFLECTANCE; DATA SET; FRUIT; OPTIMIZATION; PATTERN RECOGNITION; REMOTE SENSING; SEASONAL VARIATION; VEGETATION MAPPING; WEED CONTROL;

LYCOPERSICON ESCULENTUM;

EID: 84862782421     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.02.006     Document Type: Article

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