液晶与显示2018，Vol.33Issue(4)：291-298,8.DOI:10.3788/YJYXS20183304.0291
基于空谱联合和波段分类的高光谱压缩感知重构
Hyperspectral compressed perceptual reconstruction based on space spectrum combination and band classification
摘要
Abstract
Satellites are subject to the interference of the atmosphere and electromagnetic wave when obtaining ground information,resulting in the occurrence of bad lines and noise in the hyperspectral image itself.In response to this problem,this paper,taking the characteristics of hyperspectral remote sensing images into account,presents an image reconstruction method based on the combina-tion of hyperspectral and band classification.Firstly,according to the level of noise,the image band is classified as two levels:strong interference band due to bad line and the non-interference low noise band.Secondly,the second level is divided into groups,and then the standard band is determined. The standard band is independently reconstructed and the dual-mode space spectrum joint prediction model is constructed referring to the standard band.The reconstruction image of non-reference band is obtained by cross-projection using the regularization theory.Finally,the strong interference band is reconstructed independently and the reconstructed image is decomposed by wavelet transform,leading to the final image of the interference band by high-frequency correction.Experimental results show that the proposed method improves the average signal-to-noise ratio of the reconstructed image by a-bout 1~2dB compared with the traditional one.关键词
压缩感知/复合正则/空谱联合/高频校正Key words
compressive sense/compound regular/space combination/high frequency correction分类
信息技术与安全科学引用本文复制引用
黄元超,王阿川..基于空谱联合和波段分类的高光谱压缩感知重构[J].液晶与显示,2018,33(4):291-298,8.基金项目
黑龙江省自然科学基金资助项目(No.C201414) （No.C201414）
哈尔滨市优秀学科带头人基金项目(No.2014R FXXJ040)Supported by the Natural Science Foundation of Heilongjiang Province(No.C201414) （No.2014R FXXJ040）
Harbin Foundation for Good Leaders of Disciplines(No.2014RFXXJ040) （No.2014RFXXJ040）
