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以凸面单体边界为搜索空间的端元快速提取算法
引用本文:朱述龙,齐建成,朱宝山,曹闻.以凸面单体边界为搜索空间的端元快速提取算法[J].遥感学报,2010,14(3):487-499.
作者姓名:朱述龙  齐建成  朱宝山  曹闻
作者单位:解放军信息工程大学测绘学院遥感信息工程系,河南,郑州,450052
摘    要:提出了以凸面单体边界为搜索空间的端元快速提取算法, 其核心包括凸面单体边界的确定和以凸面单体边界为基础的端元搜索两部分。实验表明: 该算法不仅能够准确地寻找到端元, 而且端元提取速度明显快于现有的端元提取算法。

关 键 词:混合像元    端元    凸面单体    单体边界    端元提取
收稿时间:2009/4/22 0:00:00
修稿时间:2009/8/31 0:00:00

Fast extraction of endmembers from convex simplex's boundary
ZHU Shulong,QI Jiancheng,ZHU Baoshan and CAO Wen.Fast extraction of endmembers from convex simplex''s boundary[J].Journal of Remote Sensing,2010,14(3):487-499.
Authors:ZHU Shulong  QI Jiancheng  ZHU Baoshan and CAO Wen
Institution:Department of Remote Sensing Information Engineering, Zhengzhou Institute of Surveying and Mapping, Henan Zhengzhou 450052, China;Department of Remote Sensing Information Engineering, Zhengzhou Institute of Surveying and Mapping, Henan Zhengzhou 450052, China;Department of Remote Sensing Information Engineering, Zhengzhou Institute of Surveying and Mapping, Henan Zhengzhou 450052, China;Department of Remote Sensing Information Engineering, Zhengzhou Institute of Surveying and Mapping, Henan Zhengzhou 450052, China
Abstract:Endmember extraction is one of the key problems for mixel classification of multispectral imagery. Existing algorithms based on convex simplex often find endmembers within the whole convex simplex so that their speeds are slower when more samples are used to obtain endmembers. Since only the vertexes of convex simplex are probably endmembers and they must be located in the boundary of convex simplex,the search space will shrink a lot if finding endmembers is performed only within the boundary points of convex simplex. According to this theory, this paper presents the endmember extraction algorithm based on the boundary of convex simplex. The algorithm includes determination of boundary of convex simplex and fast finding endmembers within the boundary points of convex simplex. Experiments show that the algorithm can find endmembers not only correctly but also faster than existing algorithms.
Keywords:mixel  endmember  convex simplex  simplex\'s boundary  endmember extraction  
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