Rough Set Method for Remote Sense Image Classification and Information Fusion
Rough sets theory is a relatively new soft computing tool to deal with vagueness and uncertainty. It has received much attention of the researchers around the world and has expanded tremendously in the last twenty years. In this article we introduce the basic theory and character of rough sets and its applications in recent years are also pointed out. Then the theory of rough sets is introduced into the processing of remote image especially in the pretreatment of image, image fusion, features extracting, image classify so on. So we establish a technologic system of remote image processing based on rough sets. Some re-search and effects are showed in this article about the new technology and it seems this system innovational and useful.
component image classification rough sets
Guangjun Dong Ping Ren Haifang Zhou Wufa Feng
Key Laboratory of Land Resources Evaluation and Monitoring of Southwest (Sichuan Normal University ) Key Laboratory of Land Resources Evaluation and Monitoring of South west( Sichuan Normal University) School of Computer Science National University of Defence Technology Changsha, 410073 P.R China Institute of Surveying and Mapping Information Engineering University Zhengzhou P.R China
国际会议
太原
英文
157-161
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）