Validation of artificial neural network techniques in the estimation of nitrogen concentration in rape using canopy hyperspectral reflectance data

International Journal of Remote Sensing

Volumn 30, Issue 17, 2009, Pages 4493-4505

  Wang, Yuan ^a   Wang, Fumin ^a,c   Huang, Jingfeng ^a,b   Wang, Xiuzhen ^b,c   Liu, Zhanyu ^a,c  

^a ZHEJIANG UNIVERSITY   (China)

^b Key Laboratory of Agricultural Remote Sensing and Information System   (China)

^c Zhejiang Meteorological Institute   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; NEURAL NETWORKS; REFLECTION; REGRESSION ANALYSIS;

BACKPROPAGATION NETWORK; HYPERSPECTRAL REFLECTANCE; NITROGEN CONCENTRATIONS; STATISTIC PARAMETERS; STEPWISE REGRESSION; STEPWISE REGRESSION METHOD;

NITROGEN;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CANOPY; COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); DATA PROCESSING; FINITE DIFFERENCE METHOD; INVERSE ANALYSIS; NITROGEN; REGRESSION ANALYSIS; SPECTRAL REFLECTANCE;

EID: 70449354765     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802577998     Document Type: Article

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