Swarm intelligence for classification of remote sensing data

作     者：Liu XiaoPing Li Xia Peng XiaoJuan Li HaiBo He JinQiang 

作者机构：School of Geography and Planning Sun Yat-sen University Guangzhou 510275 China South China Sea Environment Monitor Center Guangzhou 510300 China 

出 版 物：《Science China Earth Sciences》 (中国科学（地球科学英文版）)

年 卷 期：2008年第51卷第1期

页      面：79-87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：the National Outstanding Youth Foundation of China (Grant No. 40525002) the National Natural Science Foundation of China (Grant No. 40471105) the Hi-tech Research and Development Program of China (863 Program) (Grant No. 2006AA12Z206) 

主　　题：swarm intelligence particle swarm optimization (PSO) remote sensing 

摘      要：This paper proposes a new method to classify remote sensing data by using Particle Swarm Optimization (PSO). This method is to generate classification rules through simulating the behaviors of bird flocking. Optimized intervals of each band are found by p