舰船电子工程2017，Vol.37Issue(4)：98-102,5.DOI:10.3969/j.issn.1672-9730.2017.04.025
基于子空间划分的高光谱图像波段选择方法
Band Selection Method of Hyperspectral Image Based on Subspace Partition
王琪 1杨桄 1向英杰1
作者信息
- 1. 空军航空大学航空航天情报系 长春 130022
- 折叠
摘要
Abstract
Hyperspectral remote sensing image carries a large amount of information, large redundancy and strong band correlation, which is not conducive to the image interpretation.How to select the optimal band combination of target identification and classification from hundreds of bands is a problem to solve.In this paper, automatic subspace partition method is adopted, the correlation coefficient matrix "block" is used to divides all bands into several subspaces roughly.Then within each subspace, adaptive band selection and spectral angle plotting are conducted.Firstly, the correlation coefficient matrix is used to divide bands into several subspaces.Next, the biggest index of bands is selected.Finally, the best band combination is selected according to the spectral separability.At last, the correlation coefficient and mean square deviation of the bands which are selected from the proposed method and the conventional band selection methods are calculated and it verifies that the proposed method has certain advantages.关键词
高光谱图像/波段选择/波段指数/子空间划分/自适应波段选择/光谱角制图Key words
hyperspectral image/band selection/band index/subspace partition/adaptive band selection/spectral angle plotting 分类
信息技术与安全科学引用本文复制引用
王琪,杨桄,向英杰..基于子空间划分的高光谱图像波段选择方法[J].舰船电子工程,2017,37(4):98-102,5.
