Remote Sensing Image Segmentation Based on Rough Entropy

摘要：

　　Remote sensing image segmentation algorithms are proposed for different thresholds with rough sets theory and fuzzy sets theory in this paper.The target and background fuzzy sets are gotten with the gray image as a fuzzy sets ; The target and background fuzzy sets are approximated by two rough fuzzy sets, the optimal image segmentation threshold is chosen by the optimal standard, Experimental results show that the proposed algorithms are more effective and flexible.

关键词： Rough Entropy Threshold Segmentation Remote Sensing Image

作者: Hui-jie Sun Ting-quan Deng Ying-ying Jiao

作者单位: College of Computer Science and Technology, Harbin Engineering University,Harbin Heilongjiang 150001 College of Computer Science and Technology, Harbin Engineering University,Harbin Heilongjiang 150001

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 411-419

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）