1. Key Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanics, Xi’an 710119, China 2. Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100190, China 3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China 4. Laboratory of Photoelectricity Measure and Control Technology, Xi’an Institute of Optics and Precision Mechanics, Xi’an 710119, China
Abstract：Along with the development of hyperspectral remote sensing technology, hyperspectral imaging technology has been applied in the aspect of aviation and spaceflight, which is different from multispectral imaging, and with the band width of nanoscale spectral imaging the target continuously,the image resolution is very high. However, with the increasing number of band, spectral data quantity will be more and more, and these data storage and transmission is the problem that the authors must face. Along with the development of wavelet compression technology, in field of image compression, many people adopted and improved EZW, the present paper used the method in hyperspectral spatial dimension compression, but does not involved the spectrum dimension compression. From hyperspectral image compression reconstruction results, whether from the peak signal-to-noise ratio (PSNR) and spectral curve or from the subjective comparison of source and reconstruction image, the effect is well. If the first compression of image from spectrum dimension is made, then compression on space dimension, the authors believe the effect will be better.
[1] Shapiro J M. IEEE Transactions on Signal Processing, 1993，41(12)：3445. [2] SHAO Chen(邵 晨). Degree Paper，2008, 3: 34. [3] XUE Bing(薛 冰). Degree Paper，2008, 4: 32. [4] TAN Yuan-qiang(谭远强). Degree Paper，2008, 5: 31. [5] Kaarna A, Toivanen P, Kernen P. Pattern Recognition and Image Analysis, 2006, 16(3)：413. [6] Green A A, Berman M, Switzer P, et al. IEEE Trans, on Geoscience and Remote Sensing, 1988，26(1)：65. [7] Lee J B, Woodyatt A S，Berman M. IEEE Trans, on Geoscience and Remote Sensing, 1990，28(3)：295. [8] Chang C I, Du Q, Sun T S，et al. IEEE Trans, on Geoscience and Remote Sensing, 1999, 37(6): 2631. [9] Harsanyi J C，Chang C I. IEEE Trans on Geoscience and Remote Sensing, 1994，32(4)：779. [10] LI Yong-feng, HUANG Pu-ming, ZHANG Hui(李永峰，黄普明，张 辉). Space Electron Technology(空间电子技术)，2003, (4)：24. [11] Rabbani M，Jones P W. Digital Image Compression Techniques，SPIE, 1991.
