Comparison Between Radial Basis Function Neural Network and Regression Model for Estimation of Rice Biophysical Parameters Using Remote Sensing Project supported by the National Natural Science Foundation of China (No. 40571115) and the National High Technology Research and Development Program (863 Program) of China (Nos. 2006AA120101 and 2007AA10Z205).

Pedosphere

Volumn 19, Issue 2, 2009, Pages 176-188

  YANG, Xiao Hua ^a,b   WANG, Fu Min ^a   HUANG, Jing Feng ^a   WANG, Jian Wen ^b   WANG, Ren Chao ^a   SHEN, Zhang Quan ^a   WANG, Xiu Zhen ^c  

^a ZHEJIANG UNIVERSITY   (China)

^b Meteorological and Hydrographic Department of General Staff Headquarters   (China)

^c Zhejiang Meteorological Institute   (China)

Author keywords

biophysical parameters; radial basis function; regression model; remote sensing; rice

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; CULTIVAR; ESTIMATION METHOD; LEAF AREA INDEX; PREDICTION; REGRESSION ANALYSIS; REMOTE SENSING; RICE;

EID: 61349110181     PISSN: 10020160     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1002-0160(09)60107-7     Document Type: Article

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