Evaluation Model of Crop Contamination Stress Level Based on Dynamic Fuzzy Neural Network
In this paper, the hyperspectral data, foliar chlorophyll content and heavy metal contents in foliar and soil were measured for the crop growing in three natural farmlands by measuring outdoors and indoor sample analyzing. Three indices including NDVI, TVI/MSAVI and MCARI/MSAVI, which were sensitive to crop growth circumstance, became importation parameters, with crop contamination stress level as output, in the process of crop contamination stress sensibility analysis with vegetation indices. And the dynamic fuzzy neural network model was built The results indicated that the model had simple network structure and high function, and only six fuzzy rules could make emulation accuracy attain 90％ and match an expectation request
hyperspectral remote sensing contamination stress vegetation indices dynamic fuzzy neural network
Xiu Lira Liu Xiangnan Huang Lingxiang
Department of Management Engineering Tianjin Institute of Urban Construction, TJUCI Tianjin, China College of Information Engineering China University of Geosciences, CUGB Beijing, China
国际会议
太原
英文
296-300
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）