高分辨率遥感影像多尺度均值漂移分割算法研究  

A Mean Shift Multi-scale Segmentation for High-Resolution Remote Sensing Images

作　　者：沈占锋[1] 骆剑承[1] 胡晓东[1] 孙卫刚[2] 

机构地区：[1]中国科学院遥感应用研究所,北京市大屯路甲3号100101 [2]大港油田公司第一采油厂,天津市大港油田300280

出　　处：《武汉大学学报（信息科学版）》2010年第3期313-316,共4页Geomatics and Information Science of Wuhan University

基　　金：国家863计划资助项目(2009AA12Z123;2007AA12Z141);国家"十一五"科技支撑计划重大资助项目(2006BAJ02A01;2006BAJ14B08);国家自然科学基金资助项目(40601057;40871203)

摘　　要：根据高分辨率遥感影像信息提取过程中对影像的对象化分割的需求,分析了均值漂移分割算法的原理,并对其多尺度分割方法进行了设计与实现。实验证明该算法具有较好的影像分割精度。Remote sensing image segmentation is an important procedure of object-oriented information extraction of high-resolution. The mean shift segmentation algorithm has been applied to many segmentation procedures since it has good effects and perfect efficiencies. Firstly, we give the principle of mean shift segmentation. Then, we present the method to improve the segmentation algorithm and implement a multi-scale segmentation. Finally, the algorithm was evaluated on the basis of experimental comparison and analysis. The results confirm feasibilities of the mean shift segmentation algorithm.

关 键 词：均值漂移 影像分割 信息提取 特征基元 

分 类 号：P237.4[天文地球—摄影测量与遥感]