| 一种多/高光谱遥感图像端元提取的凸锥分析算法 |
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| 引用本文： | 褚海峰,翟中敏,赵银娣,李平湘,张良培.一种多/高光谱遥感图像端元提取的凸锥分析算法[J].遥感学报,2007,11(4):460-467. |
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| 作者姓名： | 褚海峰 翟中敏 赵银娣 李平湘 张良培 |
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| 作者单位： | 1. 武汉大学,测绘遥感信息工程国家重点实验室,湖北,武汉,430079
2. 中国矿业大学,环境与测绘学院,江苏,徐州,211006 |
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| 基金项目： | 国家重点基础研究发展计划(973计划);国家自然科学基金 |
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| 摘 要： | 凸锥分析方法常用于多光谱和高光谱遥感图像的端元提取。遥感图像中的每个像元都可以看作一个多维向量,整幅影像看作由离散的非负向量构成的凸锥,通过寻找凸锥的角点来自动获取图像的端元。本文提出了一种自动选择最佳凸锥角点的方法,应用到传统的凸锥分析方法中,提高了凸锥分析方法的效率。利用模拟数据和真实数据实验验证了算法的可行性。
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| 关 键 词： | 端元提取 高光谱图像 光谱分解 |
| 文章编号： | 1007-4619（2007）04-0460-08 |
| 修稿时间： | 2006-05-23 |
A Convex Cone Analysis Method for Endmember Selection of Multispectral and Hyperspectral Images |
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| CHU Hai-feng,ZHAI Zhong-min,ZHAO Yin-di,LI Ping-xiang and ZHANG Liang-pei.A Convex Cone Analysis Method for Endmember Selection of Multispectral and Hyperspectral Images[J].Journal of Remote Sensing,2007,11(4):460-467. |
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| Authors: | CHU Hai-feng ZHAI Zhong-min ZHAO Yin-di LI Ping-xiang and ZHANG Liang-pei |
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| Institution: | 1. State Key Laboratory of Information Engineering in Surveying, Mapping, Remote Sensing, Wuhan University, Hubei Wuhan 430079, China ; 2. School of Environment Science and Spatial lnformatics, China University of Mining and Technology, Jiangsu Xuzhou 211006, China |
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| Abstract: | Convex Cone Analysis(CCA) method can be applied to endmember selection from multispectral and hyperspectral imagery.Each pixel on multispectral and hyperspectral imagery can also be regarded as one vector and the whole image is a convex cone formed by a number of nonnegative discrete vectors,so endmember selection is equivalent to search for the vertices of a convex cone.A method of automatically selecting best corners(vertices) is presented,which improves the traditional CCA method.Experiments on simulated data and real data verify the validity of CCA method. |
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| Keywords: | endmember selection hyperspectral imagery spectral unmixing |
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