Evaluating the performance of PC-ANN for the estimation of rice nitrogen concentration from canopy hyperspectral reflectance

International Journal of Remote Sensing

Volumn 31, Issue 4, 2010, Pages 931-940

  Yi, Qiuxiang ^a,b   Huang, Jingfeng ^b   Wang, Fumin ^b   Wang, Xiuzhen ^b,c  

^a XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c Zhejiang Meteorological Institute   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MICROCOMPUTERS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REFLECTION;

FERTILIZER LEVELS; HYPERSPECTRAL REFLECTANCE; INPUT VARIABLES; LEAF NITROGEN; LINEAR REGRESSION TECHNIQUES; NITROGEN CONCENTRATIONS; PRINCIPAL COMPONENTS; SPECTRAL REFLECTANCES;

NITROGEN FERTILIZERS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CANOPY REFLECTANCE; ESTIMATION METHOD; MODELING; NITROGEN; PADDY FIELD; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; SPECTRAL REFLECTANCE;

EID: 77951106223     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160902912061     Document Type: Article

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