Fuzzy Integral Based Information Fusion for Water Quality Monitoring Using Remote Sensing Data

• 作者: Aiye Shi Fengchen Huang Huibin Wang Huimin Wang Tanghuai Fan
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: Water Quality Monitoring REMOTE SENSING NEURAL Networks Fuzzy INTEGRAL Information FUSION
• 年，卷（期）: 2010,（9）
• 页码范围: 737-744
• 页数: 8页
• 分类号: TP39

摘要

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.