Satellite image restoration based on measured vibration information and requirements

ZHI Xi-yang; HU Jian-ming; LI Wen-feng; KONG Xiang-long; SUN Xuan

doi:10.3788/OPE.20162413.0632

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Satellite image restoration based on measured vibration information and requirements

更新时间：2020-08-13

- Satellite image restoration based on measured vibration information and requirements
- Optics and Precision Engineering Vol. 24, Issue 10s, Pages: 632-639(2016)
- 作者机构：
  
  1. 哈尔滨工业大学空间光学工程研究中心,黑龙江哈尔滨,150001
  2. 上海卫星工程研究所上海,200240
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20162413.0632
  CLC： TP751.1
- Received：31 May 2016，
  
  Revised：03 June 2016，
  
  Published：14 November 2016
- 稿件说明：
移动端阅览
智喜洋, 胡建明, 李文峰等. 基于振动测量的卫星图像复原及要求[J]. 光学精密工程, 2016,24(10s): 632-639

ZHI Xi-yang, HU Jian-ming, LI Wen-feng etc. Satellite image restoration based on measured vibration information and requirements[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 632-639
智喜洋, 胡建明, 李文峰等. 基于振动测量的卫星图像复原及要求[J]. 光学精密工程, 2016,24(10s): 632-639 DOI： 10.3788/OPE.20162413.0632.

ZHI Xi-yang, HU Jian-ming, LI Wen-feng etc. Satellite image restoration based on measured vibration information and requirements[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 632-639 DOI： 10.3788/OPE.20162413.0632.

摘要

针对卫星振动所致TDICCD相机图像降质复原的实际应用问题，研究了基于振动测量信息的卫星图像复原方法及其对振动指标要求。首先从卫星振动对图像质量的影响机理出发，给出了振动降质图像的退化规律以及基于振动测量信息的图像复原方法和参数解算方法；然后分析得出了在不同的振动频率、振幅、TDI级数组合条件下，振动测量误差对图像复原质量的影响规律；最后，通过开展振动复原实验，得出了振动测量误差对图像复原影响的定量关系。实验结果表明：当测量误差小于0.05 pixel时，复原后的图像能够满足SSIM优于0.9，几何畸变小于0.1 pixel的实际应用需求。为了保证图像复原质量，建议实际应用中对超过150 Hz的振动进行隔振。

Abstract

Aiming at the practical application problem of restoration for degraded image owing to satellite vibrations

a restoration method based on measured vibration information and the specification requirements were proposed. Firstly

effects of vibrations on image quality were analyzed based on imaging physical-process of TDICCD push-broom system. Then the methods of image restoration and corresponding parameter calculation were presented. Secondly

influence law of vibration measurement error on restored image quality were discussed in the cases of different vibration frequencies

amplitudes and TDIs. Finally

the quantitative relation between the measurement error and restoration performance was established by experiments. Experimental results indicate that the restored images can satisfy the practical requirement that SSIM is higher than 0.9 and geometric distortion is less than 0.1

when the measurement error should be less than 0.05 pixel

and vibrations with frequencies over 150 Hz should be isolated.

关键词

Keywords

references

RINGABY E, FRIMAN O, FORSSÉN P E, et al.. Anisotropic scattered data interpolation for pushbroom image rectification[J]. IEEE Transactions on Image Processing, 2014, 23(5):2302-2314.

STERN A, KOPEIKA N S. Optical transfer function analysis of images blurred by non-harmonic vibrations characterized by their power spectrum density[J]. JOSA. A, 1999, 16(9):2200-2208.

智喜洋, 张伟, 李立源,等. 卫星振动引起的非规则采样降质图像复原方法[J]. 哈尔滨工业大学学报, 2014, 46(9):9-14. ZHI X Y, ZHANG W, LI L Y, et al.. Restoration of irregularly sampled image degradation due to satellite vibrations[J]. Journal of Harbin Institute of Technology, 2014, 46(9):9-14. (in Chinese)

ZHI X Y, HOU Q Y, SUN X, et al.. Degradation and restoration of high resolution TDICCD imagery due to satellite vibrations[C]. International Symposium on Optoelectronic Technology and Application 2014. International Society for Optics and Photonics, 2014:93012I-1-93012I-8.

HAGHSHENAS J. Effects of satellite platform's vibrations on the image quality of a remote sensing payload:system level design and challenges[C]. SPIE Optical Systems Design, International Society for Optics and Photonics, 2015, 96262:1-14.

GRÖCHENIG K, STROHMER T. Numerical and Theoretical Aspects of Nonuniform Sampling of Band-limited Images[M]. Springer US:Nonuniform Sampling, 2001:283-324.

VAZQUEZ C, DUBOIS E, KONRAD J. Reconstruction of nonuniformly sampled images in spline spaces[J]. IEEE Transactions on Image Processing, 2005, 14(6):713-725.

智喜洋, 张伟, 侯晴宇, 等. 基于空不变图像复原的光学遥感成像系统优化[J]. 光学精密工程, 2015, 23(5):1490-1497. ZHI X Y, ZHANG W, HOU Q Y, et al.. Optimization for optical remote sensing imaging system based on space-invariant image restoration[J]. Opt. Precision Eng., 2015, 23(5):1490-1497. (in Chinese)

付天骄, 张立国, 王文华, 等. 空间相机图像复原的实时处理[J]. 光学精密工程, 2015, 23(4):1122-1130. FU T J, ZHANG L G, WANG W H, et al. Real-time processing of image restoration for space camera[J]. Opt. Precision Eng., 2015, 23(4):1122-1130. (in Chinese)

CHAMBOLLE A. An algorithm for total variation minimization and applications[J]. Math. Imaging Vision, 2004, 20(1-2):89-97.

SUDEY J, SCULMAN J R. In orbit measurements of Landsat-4 thematic mapper dynamic disturbances[C]. 35th Congress of the International Astronautical Federation, 1985, 12:485-503.

WITTING M, VAN L H. In-orbit measurements of microaccelerations of ESA's communication satellite OLYMPUS[J]. SPIE, 1990, 1218:205-214.

TOYOSHIMA M, ARAKI K. In-orbit measurements of short term attitude and vibrational environment on the engineering test satelliteVI using laser communication equipment[J]. Optical Engineering, 2001, 40(5):827-832.

TOYOSHIMA M, TAKAYAMA Y, KUNIMORI H. In-orbit measurements of space-craft microvibrations for satellite laser communication links[J]. Optical Engineering, 2010, 49(8):1-10.

STERN A, KOPEIKA N S. Analytical method to calculate optical transfer functions for image motion and vibrations using moments[J]. JOSA. A, 1997, 14(2):388-396.

TAN L, WANG Q, YU S, et al.. Spectrum characteristics of optical misalignment induced by satellite platform vibration and angle of arrival fluctuation[C]. Laser Physics and Laser Technologies (RCSLPLT) and 2010 Academic Symposium on Optoelectronics Technology (ASOT), 201010th Russian-Chinese Symposium on. IEEE, 2010:249-252.

WANG Z, BOVIK A C, SHEIKH H R. Image quality assessment:From error visibility to structural similarity[J]. Image Processing, 2004, 13(4):600-612.

范媛媛, 沈湘衡, 桑英军. 基于对比度敏感度的无参考图像清晰度评价[J]. 光学精密工程, 2011, 19(10):2485. FAN Y Y, SHEN X H, SANG Y J. No reference image sharpness assessment based on contrast sensitivity[J]. Opt. Precision Eng., 2011, 19(10):2485. (in Chinese)

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