| 光谱学与光谱分析 |
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| Simulation of Pseudo Cross-Correlation Degraded by the Hyperspectral Imaging of Satellite Complex Motion |
| ZHANG Li-jun, CHANG Yue-e, TANG Yi*, NAN Yi-bing, GUO Qian |
| Key Laboratory of Photo-Electronic Imaging Technology and System (School of Photo-Electricity), Beijing Institute of Technology, Beijing 100081, China |
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Abstract The present paper proposed a spectral degradation theory based on the point spread matrix, which is developed from the simulation algorithm of degradation based on differential dynamic spectral imaging for moving imaging. According to the eight neighborhood mixing model, considering the varying movement with time of the satellite platform, the situation that different object pixel has different point spread matrix is corresponding to the concept of the pseudo cross-correlation theory. Thus, the pseudo cross-correlation degradation theory of moving spectral imaging is presented. In this method, the point spread matrix is constructed by the mean mixing ratio of eight neighborhoods, which can be calculated by the POS data on satellite using the differential imaging theory based on image motion matrix. When calculating the point spread matrix with the simulating POS data curve, we found out that the point spread matrix can be simplified according to the importance of mixing effect to reduce calculation. Then, the presentation and computing method of the pseudo cross-correlation degradation theory of moving spectral imaging is clearly articulated, and the result of degradation simulating and calculating is evaluated qualitatively and quantitatively from imaging dimension and spectral dimension respectively, and the similarity between the degradation image and the initial image is revealed using the SSIM parameter. The pseudo cross-correlation degradation theory of moving spectral imaging improves the existing problem of spectral imaging degradation based on the complex movement of satellite platform. The simulation results show that this kind of degradation theory is suitable for solving the problem of spectral imaging degradation based on the complex satellite platform movement completely.
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Received: 2013-07-04
Accepted: 2013-11-22
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Corresponding Authors:
TANG Yi
E-mail: tangyi4510@bit.edu.cn
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[1] YU Cheng-wei，CHEN De-rong，YANG Jian-feng，et al(余成伟，谌德荣，杨建峰，等). Opto-Electronic Engineering(光电工程)，2004，31(5)： 4.
[2] Mahgoub A，Nguyen J，Desbiens R，et al. IEEE ICIP，2009： 573.
[3] TANG Qiu-yan，TANG Yi，CAO Wei-liang，et al(唐秋艳，唐 义，曹玮亮，等). Acta Phisica Sinica(物理学报)，2012，61(7)： 070202.
[4] XIANGLI Bin，YUAN Yan，Lü Qun-bo(相里斌，袁 艳，吕群波). Acta Phisica Sinica(物理学报)，2009，58(8)： 5401.
[5] LI Yu-heng，YI Ke-chu，TIAN Hong-xin(李于衡，易可初，田红心). J. Infrared Millim. Waves(红外与毫米波学报)，2007，26(3)： 178.
[6] TANG Qiu-yan，TANG Ti，CAO Wei-liang，et al(唐秋艳，唐 义，曹玮亮，等). Opto-Electronic Engineering(光电工程)，2011，38(7)： 125.
[7] Yuan Yan，Zhang Xiu-bao，Sun Cheng-ming，et al. Optik，2011, 122(17): 1576.
[8] GUO Da-hai，WU Li-xin，WANG Jian-chao，et al(郭大海，吴立新，王建超，等). Remote Sensing for Land &Resouces(国土资源遥感)，2004，2(60)： 26.
[9] LUO Yong-dao，LIAO Ning-fang，YANG Wei-ping，et al(罗永道，廖宁放，杨卫平，等). Optical Technique(光学技术)，2008，34 (5) ： 709.
[10] WANG Xiao-yan，TANG Yi，TANG Qiu-yan，et al(王晓燕，唐 义，唐秋艳，等). Transactions of Beijing Institute of Technology(北京理工大学学报)，2012，32(3)： 291.
[11] Zhou Wang，Alan C Bovik，Hamid R Sheikh，et al. IEEE Transactions on Image Processing，2004，13(4)： 1. |
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