Application of support vector machine technology for the estimation of crop biophysical parameters using aerial hyperspectral observations

Canadian Biosystems Engineering / Le Genie des biosystems au Canada

Volumn 50, Issue , 2008, Pages

  Karimi, Y ^a   Prasher, S O ^a   Madani, A ^b   Kim, S ^c  

^a MCGILL UNIVERSITY   (Canada)

^b DALHOUSIE UNIVERSITY   (Canada)

^c Yeungnam University   (South Korea)

Author keywords

Corn; Crop parameters; Hyperspectral; Nitrogen; Remote sensing; Support vector machine; Weeds

Indexed keywords

AIRBORNE HYPERSPECTRAL REMOTE SENSING; BIOPHYSICAL PARAMETERS; COMPACT AIRBORNE SPECTROGRAPHIC IMAGER SENSORS; CORN FIELDS; CROP GROWTH; CROSS VALIDATION; DATA SETS; FERTILIZATION RATES; GRAIN YIELD; GRASS CONTROL; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL OBSERVATIONS; LEAF CHLOROPHYLL CONTENT; LEAF GREENNESS; LEAF NITROGEN CONTENT; NARROW WAVEBANDS; PHYSIOLOGICAL PARAMETERS; PLANT HEIGHT; REASONABLE ACCURACY; REFLECTANCE DATA; REGRESSION MODEL; SMALL SIZE; SPAD READINGS; STEPWISE APPROACH; SVM MODEL; TEST DATA; TRAINING DATA SETS;

AERIAL PHOTOGRAPHY; BIOPHYSICS; CHLOROPHYLL; CROPS; NITROGEN; PARAMETER ESTIMATION; PHYSIOLOGICAL MODELS; PORPHYRINS; REGRESSION ANALYSIS; REMOTE SENSING; STATISTICAL TESTS; SUPPORT VECTOR MACHINES; VECTORS;

WEED CONTROL;

EID: 77951780947     PISSN: 14929058     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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