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《Science of Surveying and Mapping》 2010-01
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Research on platanus orientalis L.chlorophyll concentration estimation with hyperspectral data based on BP-artificial neural network and principal component analysis

YAO Fu-qi①,ZHANG Zhen-hua①,YANG Run-ya②,HE Yu-chun③,ZHANG Yan①,CUI Su-fang①,WANG Hai-jiang①(①College of Geography and Planning,Ludong University,Shandong Yantai 264025,China;②College of Life Science,Ludong University,Shandong Yantai 264025,China;③Shandong Yellowriver Profession and Technology School,Shandong Jinan 250032,China)  
Hyperspectral reflectance and green degree of Platanus orientalis L.'leaves were measured by the ASD portable spectrometer and the portable chlorophyll meter SPAD-502,respectively,and the relativity between hyperspectral reflectance,first derivative spectral reflectance and leaf green degree were analyzed.In order to estimate chlorophyll content and establish the best estimation model,ten normal vegetation indexes(VI) were compared to find out the best one.Then the principal component analysis(PCA) was used to reduce the dimensions of data,while maintaining the data characteristic effectively,and the principal component scores were used as the input variable of ANN-BP to estimate the content of chlorophyll.The results show that Platanus orientalis L.hyperspectral reflectance has a notable relationship with chlorophyll concentration in visible region,while the relationship between the first derivative spectral reflectance and chlorophyll concentration is better than the relationship of the hyperspectral reflectance with chlorophyll concentration in the part of green-yellow and red region.NDVI has the closest relation to chlorophyll concentration of all the ten normal VI in this article,and the correlation coefficient is 0.7957.The ANN-BP based on PCA can contain more band information to estimate chlorophyll content,and the determination coefficient R2 between the predicted and the measured Platanus orientalis L.' chlorophyll content were 0.9883,so the ANN-BP based on PCA in this article is a good method to be applied to hyperspectral data for estimation of Platanus orientalis L.chlorophyll concentration.
【Fund】: 国家自然科学基金(50609022);; 山东省教育厅项目(J07YF16);; 鲁东大学创新团队建设项目
【CateGory Index】: TP79
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