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J4  2012, Vol. 46 Issue (10): 1857-1865    DOI: 10.3785/j.issn.1008-973X.2012.10.019
电气工程     
高光谱图像亚像元级地物端元提取方法
崔建涛1, 厉小润1, 赵辽英2
1.浙江大学 电气工程学院,浙江 杭州 310027;2.杭州电子科技大学 计算机应用技术研究所,浙江 杭州 310018
Endmember extraction method for subpixel materials
in hyperspectral imagery
CUI Jian-tao1, LI Xiao-run1, ZHAO Liao-ying2
1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 2. Institute of Computer
Application Technology, Hangzhou Dianzi University, Hangzhou 310018, China
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摘要:

针对高光谱图像中以亚像元形式存在的地物的端元光谱提取问题,提出凸面几何理论和部分非负矩阵分解相结合的端元提取方法.通过去噪的正交基子空间投影方法和相似度比较获得原始图像中的纯像元端元,利用纯像元端元光谱对图像逐点求取丰度和重构误差,对误差大于设定阈值的像素集合进行部分非负矩阵分解,求得亚像元级地物的端元光谱.实验结果表明,该端元提取方法能够弥补传统方法的不足,从而实现对亚像元级地物端元光谱的有效提取.

Abstract:

An endmember extraction algorithm based on the theory of convex geometry and partial nonnegative matrix factorization was proposed in order to solve the problem of extracting the endmembers of subpixel materials in hyperspectral imagery. The dewhitening endmember extraction algorithm based on orthogonal bases of subspace and the similarity comparison were applied to obtain the endmembers containing pure pixels, and the reconstruction error (RE) for every pixel was calculated only with these endmembers. A partial nonnegative matrix factorization algorithm was implemented with the pixels whose REs are greater than the preset threshold, and the endmembers of the subpixel materials were achieved. Experimental results demonstrate that the algorithm can remedy the weakness of the traditional methods and availably retrieve endmembers of the subpixel materials.

出版日期: 2012-10-01
:  TP 751  
基金资助:

国家自然科学基金资助项目(61171152);教育部支撑技术资助项目(625010216);浙江省自然科学基金资助项目(Y1100196).

通讯作者: 厉小润,男,副教授.     E-mail: lxr@zju.edu.cn
作者简介: 崔建涛(1988—),男,博士生,从事高光谱混合像元分解研究.E-mail:cuijiantao@zju.edu.cn
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引用本文:

崔建涛, 厉小润, 赵辽英. 高光谱图像亚像元级地物端元提取方法[J]. J4, 2012, 46(10): 1857-1865.

CUI Jian-tao, LI Xiao-run, ZHAO Liao-ying. Endmember extraction method for subpixel materials
in hyperspectral imagery. J4, 2012, 46(10): 1857-1865.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.10.019        http://www.zjujournals.com/eng/CN/Y2012/V46/I10/1857

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