TITLE:
Fuzzy Integral Based Information Fusion for Water Quality Monitoring Using Remote Sensing Data
AUTHORS:
Huibin Wang, Tanghuai Fan, Aiye Shi, Fengchen Huang, Huimin Wang
KEYWORDS:
Water Quality Monitoring, Remote Sensing, Neural Networks, Fuzzy Integral, Information Fusion
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.3 No.9,
September
30,
2010
ABSTRACT: To improve the monitoring precision of lake chlorophyll a (Chl-a), this paper presents a fusion method based on Choquet Fuzzy Integral (CFI) to estimate the Chl-a concentration. A group of BPNN models are designed. The output of multiple BPNN model is fused by the CFI. Meanwhile, to resolve the over-fitting problem caused by a small number of training sets, we design an algorithm that fully considers neighbor sampling information. A classification experiment of the Chl-a concentration of the Taihu Lake is conducted. The result shows that, the proposed approach is superior to the classification using a single neural network classifier, and the CFI fusion method has higher identification accuracy.