Citation: | SUN Zhishen, ZHANG Xu, WANG Suhui, CAO Yingying, GUO Tengxiao, CAO Shuya. Fast Spectral Acquisition Method Based on Compressed Sensing for Liquid Crystal Tunable Filters[J]. Infrared Technology , 2021, 43(7): 635-642. |
[1] |
王捷, 周伟, 姚力波. 国外成像侦察技术现状及发展趋势[J]. 海军航空工程学院学报, 2012, 27(2): 199-204. https://www.cnki.com.cn/Article/CJFDTOTAL-HJHK201202018.htm
WANG Jie, ZHOU Wei, YAO Libo. The status and development trend of imaging reconnaissance technology abroad[J]. Journal of Naval Aeronautical Engineering Institute, 2012, 27(2): 199-204. https://www.cnki.com.cn/Article/CJFDTOTAL-HJHK201202018.htm
|
[2] |
贺霖, 潘泉, 邸韡, 等. 高光谱图像目标检测研究进展[J]. 电子学报, 2009, 37(9): 2016-2024. doi: 10.3321/j.issn:0372-2112.2009.09.024
HE Lin, PAN Quan, DI Hua, et al. Research progress of target detection in hyperspectral images[J]. Electronic journals, 2009, 37(9): 2016-2024. doi: 10.3321/j.issn:0372-2112.2009.09.024
|
[3] |
王建成, 朱猛. 高光谱侦察技术的发展[J]. 航天电子对抗, 2019, 35(3): 37-45. doi: 10.3969/j.issn.1673-2421.2019.03.009
WANG Jiancheng, ZHU Meng. The development of hyperspectral reconnaissance technology[J]. Aerospace Electronic Countermeasures, 2019, 35(3): 37-45. doi: 10.3969/j.issn.1673-2421.2019.03.009
|
[4] |
张海丹. 基于高光谱成像系统的火焰三维温度场和烟黑浓度场重建研究[D]. 杭州: 浙江大学, 2016.
ZHANG Haidan. Reconstruction of Flame Temperature Field and Smoke Concentration Field Based on Hyperspectral Imaging System[D]. Hang Zhou: Zhejiang University, 2016.
|
[5] |
刘逸飞. 基于光谱分析与深度信息的人脸活体检测[D]. 北京: 北京交通大学, 2017.
LIU Yifei. Face in Vivo Detection Based on Spectral Analysis and Depth Information[D]. Beijing: Beijing Jiaotong University, 2017.
|
[6] |
朱思祁. 基于液晶滤波器件的高光谱显微成像系统设计及生物检测应用[D]. 广州: 暨南大学, 2015.
ZHU Siqi. Design of Hyperspectral Microscopic Imaging System Based on Liquid Crystal Filter and Its Application in Biological Detection[D]. Guang Zhou: Jinan University, 2015.
|
[7] |
Donoho D L. Compressed Sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. doi: 10.1109/TIT.2006.871582
|
[8] |
Candès E, 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. doi: 10.1109/TIT.2005.862083
|
[9] |
汪琪, 马灵玲, 李传荣, 等. 一种基于压缩感知理论的LCTF光谱超分辨方法[J]. 北京理工大学学报, 2018, 38(1): 40-45, 72. https://www.cnki.com.cn/Article/CJFDTOTAL-BJLG201801007.htm
WANG Qi, MA Lingling, LI Chuanrong, et al. LCTF Spectral Superresolution Method Based on Compressed Sensing Theory[J]. Journal of Beijing Institute of Technology, 2018, 38(1): 40-45, 72. https://www.cnki.com.cn/Article/CJFDTOTAL-BJLG201801007.htm
|
[10] |
Candès E, Wakin MB. An Introduction to Compressive Sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30. doi: 10.1109/MSP.2007.914731
|
[11] |
Guimaraes DA, Floriano G, Chaves LS. A Tutorial on the Cvx System for Modeling and Solving Convex Optimization Problems (um Tutorial Sobre a Aplicao Do Cvx Na Soluo De Problem as De Otimizao Convexa)[J]. IEEE Latin America Transactions, 2015, 13(5): 1228-1257. doi: 10.1109/TLA.2015.7111976
|