基于空间域压缩采样和谱域Karhunen-Loève变换的光谱成像与重构 下载: 651次
唐意东, 黄树彩, 黄达. 基于空间域压缩采样和谱域Karhunen-Loève变换的光谱成像与重构[J]. 光学学报, 2018, 38(5): 0530004.
Yidong Tang, Shucai Huang, Da Huang. Spectral Imaging and Reconstruction Based on Spatial Compressive Sampling and Spectral Karhunen-Loève Transform[J]. Acta Optica Sinica, 2018, 38(5): 0530004.
[1] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[2] Candes E J, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
[3] 汪琪, 马灵玲, 李传荣, 等. 压缩感知光谱重构中的字典原子选取优化方法[J]. 光学学报, 2016, 36(9): 0930002.
[4] 荆楠, 毕卫红, 胡正平, 等. 动态压缩感知综述[J]. 自动化学报, 2015, 41(1): 22-37.
Jing N, Bi W H, Hu Z P, et al. A survey on dynamic compressed sensing[J]. Acta Automatica Sinica, 2015, 41(1): 22-37.
[5] 谭诗语, 刘震涛, 李恩荣, 等. 基于先验图像约束的多光谱压缩感知[J]. 光学学报, 2015, 35(8): 0811003.
[6] 闫敬文 , 刘蕾 , 屈小波 . 压缩感知及应用 [M]. 北京 : 国防工业出版社 , 2015 : 67 - 89 .
Yan JW , LiuL , Qu XB .Compressive sensing and its applications [M]. Beijing : National Defense Industry Press , 2015 : 67 - 89 .
[8] 吴群 , 周羚君 , 殷俊锋 . 矩阵分析 [M]. 上海 : 同济大学出版社 , 2017 : 54 - 58 .
WuQ , Zhou LJ , Yin JF .Matrix analysis [M]. Shanghai : Tongji University Press , 2017 : 54 - 58 .
[9] 李志林 . 图像压缩感知重建算法研究 [D]. 北京: 北京交通大学 , 2012 : 95 - 109 .
Li ZL . Study on image compressive sensing reconstruction algorithms [D]. Beijing: Beijing Jiaotong University , 2012 : 95 - 109 .
[10] LuG . Block compressed sensing of natural images[C]∥Proceedings of the 15 th International Conference on Digital Signal Processing , 2007 : 403 - 406 .
[11] 岑翼刚, 陈晓方, 岑丽辉, 等. 基于单层小波变换的压缩感知图像处理[J]. 通信学报, 2010, 31(8A): 52-55.
Cen Y G, Chen X F, Cen L H, et al. Compressed sensing based on the single layer wavelet transform for image processing[J]. Journal on Communications, 2010, 31(8A): 52-55.
[13] GhaffariA , Babaie-ZadehM , JuttenC . Sparse decomposition of two dimensional signals[C]∥Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing , 2009 : 3157 - 3160 .
[14] WimalajeewaT , Eldar YC , Varshney P K. Recovery of sparse matrices via matrix sketching[EB/OL]. ( 2013-11-11)[2017-11-20] . http: ∥arxiv.org/abs/1311 . 2448 .
[15] LiaoL , Zhang YN , ZhangC . 2DCS: two dimensional random underdetermined projection for image representation and classification[C]∥Proceedings of the International Conference on Multimedia Technology , 2011 : 1 - 5 .
[17] 唐意东 . 压缩感知光谱成像目标检测与分类识别方法研究 [D]. 西安: 空军工程大学 , 2017 : 75 - 89 .
Tang YD . Research on detection and classification method for compressive spectral imaging [D]. Xi’an: Air Force Engineering University , 2017 : 75 - 89 .
唐意东, 黄树彩, 黄达. 基于空间域压缩采样和谱域Karhunen-Loève变换的光谱成像与重构[J]. 光学学报, 2018, 38(5): 0530004. Yidong Tang, Shucai Huang, Da Huang. Spectral Imaging and Reconstruction Based on Spatial Compressive Sampling and Spectral Karhunen-Loève Transform[J]. Acta Optica Sinica, 2018, 38(5): 0530004.