The Study of Extracting River Nets Based on Intelligence Ant Colony Algorithm on MODIS Remote Sensing Images

作     者：时向勇 李先华 郑成建 

作者机构：Research Center of Remote Sensing and Spatial Information ScienceShanghai University 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2010年第27卷第5期

页      面：673-680页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081002[工学-信号与信息处理] 

基　　金：National High Technology Research and Development Program of China(No.2007AA120305) National ScienceFoundation of China(No.40771145) Special Project of Ministry of Science and Technology of China(No.GYHY20070628) Subtopics of Ministry of Land and Resources Project of China(No.KD081902-03) Scientific Research and Innovation Project of Graduate School of Shanghai University,China(No.SHUCX101033) 

主　　题：ant colony algorithm river nets MODIS remote sensing images 

摘      要：How to extract river nets effectively is of great significance for water resources investigation,flood forecasting and environmental monitoring,*** the paper,combining with ant colony algorithm,a new approach of extracting river nets on moderate-resolution imaging spectroradiometer(MODIS)remote sensing images was proposed through analyzing two general extraction methods of river *** experiment results show that river nets can be optimized by ant colony algorithm efficiently,and difference ratio between the experimental vectorgraph and the data of National Fundamental Geographic Information System is down to 8.7%.The proposed algorithm can work for extracting river nets on MODIS remote sensing images effectively.