Semisupervised Affinity Propagation Based on Normalized Trivariable Mutual Information for Hyperspectral Band Selection
Semisupervised Affinity Propagation Based on Normalized Trivariable Mutual Information for Hyperspectral Band Selection
复制标题
基于归一化三变量互信息的半监督亲和力传播用于高光谱波段选择
DOI：
10.1109/jstars.2014.2371931
复制
发表时间：
2015-06
影响因子：
5.5
通讯作者：
Zhang, Xiangrong
中科院分区：
文献类型：
--
作者：
Feng, Jie;Liu, Fang;Sun, Tao;Zhang, Xiangrong
高光谱图像的高维性给图像处理带来了沉重的负担。波段选择是降维的常用技术。针对高光谱图像的标签难以提取的问题，提出了一种基于仿射传播（AP）的半监督波段选择方法。AP是一种基于样本的聚类方法，由于执行时间快和重建误差低而闻名。对于波段选择，AP涉及两个关键问题：波段相关性和波段偏好。本文提出了一种新的归一化三变量互信息（归一化TMI，NTMI）来度量波段相关性。NTMI既考虑了波段冗余，又考虑了波段协同，克服了TMI对波段分辨能力的敏感性。波段偏好是由每个波段的辨别能力和信息量来定义的。针对聚类方法易受噪声干扰的问题，提出了一种新的基于统计的波段相关性和波段优先选择方法。该算法利用频带的连续性，预先自动去除噪声频带。最后，该方法可以选择高分辨率和高信息量的波段，并删除高冗余波段。在高光谱图像上的实验结果验证了该方法的有效性。
The high dimensionality of hyperspectral images brings a heavy burden for image processing. Band selection is a common technique for dimensionality reduction. Since the labels of hyperspectral images are difficult to collect, a new semisupervised band selection method based on affinity propagation (AP) is proposed. AP, an exemplar-based clustering method, is famous due to fast execution time and low reconstruction error. For band selection, AP involves two key issues: band correlation and band preference. In this paper, a new normalized trivariable mutual information (normalized TMI, NTMI) is devised to measure band correlation for classification. NTMI considers not only band redundancy but also band synergy, and overcomes the sensitivity of TMI to the discriminative abilities of bands. Band preference is defined by the discriminative ability and informative amount of each band. Since the clustering methods are easily disturbed by noisy bands, a new statistical-based method for band correlation and band preference is devised. It can automatically remove noisy bands beforehand by exploiting the continuity property of bands. Finally, the proposed method can select highly discriminative and informative bands, and remove highly redundant bands. Experimental results on hyperspectral images demonstrate the effectiveness of the proposed semisupervised band selection method.
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DOI：
10.1002/0470124628
发表时间：
2007-03
期刊：
--
影响因子：
--
作者：
Chein-I. Chang
通讯作者：
Chein-I. Chang
DOI：
10.1109/tgrs.2013.2277251
发表时间：
2014-07-01
影响因子：
8.2
作者：
Ly, Nam Hoai;Du, Qian;Fowler, James E.
通讯作者：
Fowler, James E.
局部敏感的半监督特征选择
影响因子：
6
作者：
He Xiaofei;Zhao Jidong;Lu Ke
通讯作者：
Lu Ke
DOI：
10.1109/isda.2009.211
发表时间：
2009-11
期刊：
2009 Ninth International Conference on Intelligent Systems Design and Applications
影响因子：
--
作者：
I. Quinzán;J. Sotoca;F. Pla
通讯作者：
I. Quinzán;J. Sotoca;F. Pla
DOI：
10.1109/icig.2013.88
发表时间：
2013-07
期刊：
2013 Seventh International Conference on Image and Graphics
影响因子：
--
作者：
Rui Huang;Lisha Yang;Zhiqiang Lv
通讯作者：
Rui Huang;Lisha Yang;Zhiqiang Lv