ANFIS在湿地遥感信息提取中的应用研究  

Extraction of remote sensing information of wetland based on ANFIS

作　　者：王海江[1] 王周龙[1] 吴孟泉[1] 崔青春[1] 姚付启[1] 

机构地区：[1]鲁东大学地理与规划学院,山东烟台264025

出　　处：《测绘科学》2010年第4期171-173,141,共4页Science of Surveying and Mapping

摘　　要：自适应神经模糊推理系统(ANFIS)综合了模糊推理与神经网络的优点,本文探讨了其在湿地遥感信息提取中的应用。首先阐述了ANFIS分类方法的特点、原理以及分类流程;然后以黄河三角洲垦利县湿地为实验区,分析了基于ANFIS的湿地遥感信息提取;最后将由该方法得到的分类结果与传统分类方法进行比较,结果表明由该方法所得的分类总正确率与各地物正确率都有较好表现。The paper explored the application of ANFIS （ Adaptive Network-based Fuzzy Inference System） in the extraction of remote sensing information of wetland, which combines the advantages of fuzzy inference and neural network. Firsdy, the paper discussed the characteristics, principles and process of ANFIS classification method ; Secondly, taking the wetland of Yellow River Delta in KenLi county as example, it analyzed the extraction of remote sensing information of wetland based on ANFIS; Finally, it compared the extraction result of the method with that of the traditional classification method, which proved ANFIS＇s better performance.

关 键 词：自适应神经模糊推理系统 湿地信息提取 黄河三角洲湿地 

分 类 号：P751[交通运输工程—港口、海岸及近海工程] X14[天文地球—海洋科学]