液晶与显示2017，Vol.32Issue(3)：219-226,8.DOI:10.3788/YJYXS20173203.0219
基于压缩感知的高光谱遥感影像重构方法研究
Hyperspectral remote sensing imagereconstruction method based on compressive sensing
摘要
Abstract
Hyperspectral remote sensing image contains rich space, radiation and spectral information.Meanwhile, massive data also lead to many problems in the transmission and storage of hyperspectral imaging technology.To solve this problem, a new method of hyperspectral remote sensing image reconstruction based on compressive sensing is proposed, which combines the spectral correlation and multi direction prediction.Firstly, according to the spectral correlation of hyperspectral remote sensing image, the bands of hyperspectral remote sensing image are grouped into each group, each group is defined as a reference band, and the I0 norm algorithm is used to reconstruct the reference band.Secondly, according to the reference band adjacent reconstructed within the group, a non reference band prediction model is set up, which is used to calculate the predicted measurement non reference band value.Then, we calculate the difference between the actual measured value and the predicted measured values, and reconstruct the difference vector difference using SL0 algorithm.Finally, by using difference vector iteration, we update the prediction measurements until the band recoreries the original image.The simulation results show that the proposed method improves the reconstruction effect of hyperspectral remote sensing image.关键词
高光谱遥感影像/压缩感知/预测模型/图像重构Key words
hyperspectral remote sensing image/compressive sense/prediction model/image reconstruction分类
信息技术与安全科学引用本文复制引用
王晗,王阿川,苍圣..基于压缩感知的高光谱遥感影像重构方法研究[J].液晶与显示,2017,32(3):219-226,8.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.2014RFXXJ040) Supported by Natural Science Foundation of Heilongjiang province (No.C201414) （No.2014RFXXJ040）
Harbin Good Foundation for Leaders of Disciplines(No.2014RFXXJ040) （No.2014RFXXJ040）
