推扫式高光谱谱间压缩感知成像与重构
王忠良, 冯燕, 王丽. 推扫式高光谱谱间压缩感知成像与重构[J]. 光学 精密工程, 2014, 22(11): 3129.
WANG Zhong-liang, FENG Yan, WANG Li. Compressive sensing imaging and reconstruction of pushbroom hyperspectra[J]. Optics and Precision Engineering, 2014, 22(11): 3129.
[1] 孙朗, 胡炳樑, 王爽, 等. 压缩采样光谱调制技术研究[J]. 光子学报, 2013, 42(8): 912-915.
[2] DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[3] CANDES E J, WAKIN M B. An introduction to compressive sampling [J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
[4] 陈涛, 李正炜, 王建立, 等. 应用压缩传感理论的单像素相机成像系统[J]. 光学精密工程, 2012, 20(11):2523-2530.
[5] 杨宏成, 高欣, 张涛. 应用投影收缩的压缩感知锥束CT短扫描重建[J]. 光学精密工程, 2014, 22(3): 770-778.
[6] 王良君, 石光明, 李甫, 等. 混合观测压缩感知图像多描述编码[J]. 光学精密工程, 2013, 21(3):724-733.
[7] 朱明, 高文, 郭立强. 压缩感知理论在图像处理领域的应用[J]. 中国光学, 2011, 4(5): 441-447.
[8] DUARTE M F, DAVENPORT M A, TAKHAR D, et al.. Single-pixel imaging via compressive sampling [J]. IEEE Signal Processing Magazine, 2008, 25(2): 83-91.
[9] SUN T, KELLY K. Compressive sensing hyperspectral imager [C]. Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest, San Jose, California, 2009: CTuA5.
[10] WAGADARIKAR A, JOHN R, WILLETT Rt, et al.. Single disperser design for coded aperture snapshot spectral imaging[J]. Applied Optics, 2008, 47(10): 44-51.
[11] 肖龙龙, 刘昆, 韩大鹏, 等.压缩感知理论在光学成像中的应用[J]. 应用光学, 2012, 33(1): 71-77.
[12] 冯燕, 贾应彪, 曹宇明, 等. 高光谱图像压缩感知投影与复合正则重构[J]. 航空学报, 2012, 33(8): 1466-1473.
FENG Y, JIA Y B, CAO Y M, et al.. Compressed sensing projection and compound regularizer reconstruction for hyperspectral images [J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(8): 1466-1473. (in Chinese)
[13] WANG Z, YAN F, JIA Y. Spatial-spectral compressive sensing of hyperspectral image [C]. Third IEEE International Conference on Information Science and Technology, Yangzhou, Jiangsu, China, 2013: 1256-1259.
[14] 贾应彪, 冯燕, 王忠良, 等. 基于谱间结构相似先验的高光谱压缩感知重构[J]. 电子与信息学报, 2014, 36(6): 1406-1412.
JIA Y B, FENG Y, WANG ZH L, et al.. Hyperspectral compressive sensing recovery via spectrum structure similarity [J]. Journal of Electronics & Information Technology, 2014, 36(6): 1406-1412. (in Chinese)
[15] 计振兴, 孔繁锵. 基于谱间线性滤波的高光谱图像压缩感知[J]. 光子学报, 2012, 41(1): 82-86.
[16] AUGUST Y, VACHMAN C, STERN A. Spatial versus spectral compression ratio in compressive sensing of hyperspectral imaging [C]. Compressive Sensing II, Baltimore, MD, United states, 2013:1-10.
[17] CHEN S S, DONOHO D L, SAUNDERS M A. Atomic decomposition by basis pursuit [J]. SIAM Review, 2001, 43(1):129-159.
[18] 焦李成, 杨淑媛, 刘芳, 等. 图像压缩感知回顾与展望[J]. 电子学报, 2011, 39(7): 1651-1662.
JIAO L CH, YANG SH Y, LIU F, et al.. Development and prospect of compressive sensing [J]. Acta Electronica Sinica, 2011, 39(7): 1651-1662. (in Chinese)
[19] HORNBECK L J. From cathode rays to digital micromirrors: A history of electronic projection display technology [J]. Ti Technical Journal, 1998, 15(3): 7-46.
[20] CANDES E J, ROMBERG J K. The l1-magic toolbox [OL]. http://www.l1-magic.org, 2008.
[21] BIOUCAS-DIAS J M, PLAZA A, DOBIGEON N, et al.. Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(2): 354-379.
[22] VANE G, GREEN R O, CHRIEN T G, et al.. The airborne visible infrared imaging spectrometer(AVIRIS)[J]. Remote Sensing of Environment, 1993, 44(2):127-143.
[23] NASCIMENTO J M P, DIAS J M B. Vertex component analysis: a fast algorithm to unmix hyperspectral data [J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4): 98-910.
[24] CLARK R N, SWAYZE G A, WISE R, et al.. USGS digital spectral library splib06a: U.S. Geological Survey, Digital Data Series 231[EB/OL].(2007-09-13)[2007-09-20].http: //speclab.cr.usgs.gov/spectral.lib06.
王忠良, 冯燕, 王丽. 推扫式高光谱谱间压缩感知成像与重构[J]. 光学 精密工程, 2014, 22(11): 3129. WANG Zhong-liang, FENG Yan, WANG Li. Compressive sensing imaging and reconstruction of pushbroom hyperspectra[J]. Optics and Precision Engineering, 2014, 22(11): 3129.