A Fuzzy Integral Model for Estimating Chlorophyll Concentrations in Tai Lake from Thematic Mapper Imagery
A model for Tai Lake chlorophyll a concentrations is addressed herein using the Choquet fuzzy integral that combines a set of different kind of BP neural network water quality classifiers. Firstly each neural network is employed to model the transfer function between the chlorophyll a concentrations and the radiances of Landsat Thematic Mapper data, then the degree of belief of chlorophyll a concentrations distribution and accuracy (as fuzzy density of Choquet fuzzy integral) is obtained. After that, Choquet fuzzy integral is used to fuse with outputs of each neural network, resulting in the chlorophyll a concentrations evaluation. Experiment results on Tai Lake of China show that the performance of the proposed model out-performs that of other conventional techniques.
Aiye Shi Tanghuai Fan Lizhong Xu Jinling Zhou
Computer & Information Engineering College Hohai University Nanjing, 210098,China Department of Computer Science and Technology Nanchang Institute of Technology Nanchang, 330099,Chin
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
1117-1121
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）