Study on Extraction Method of Land-Use Information A Case Study of Jinzhou City

摘要：

This paper presents a new classification method based on a combination of GIS and BP (back propagation) artificial neural network, taking the TM image of the area of Jinzhou city in 2000 as the testing one. BP neural network can be optimized by means of selecting GIS data aided training sample, improving training algorithm, calculating the number of nodes in the hidden layer and so on. Compared with traditional methods, optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.

关键词： BP:Classification:Artificial neural networks:Remote sensing

作者: Liang Pei Zhaoyang Xu Jiguang Dai

作者单位: College of geomatics　LiaoNing Technical University　Fuxin,P.R.China

会议类型: 国际会议

会议名称: The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)

会议地点: 北京

会议语种:英文

页码: 955-959

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）