Satellite Platform Jitter Detection and Image Geometric Quality Compensation Based on High-frequency Angular Displacement Data
HU Kun①②③ HUANG Xu③ ZHANG Yongjun④ YOU Hongjian①②
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China) ③(Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus 43210, USA) ④(School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)
Abstract:With the improvement of imaging resolution and on-orbit mobility of earth observation satellites, the imaging geometric quality is more apparently influenced by the attitude’s high-frequency jittering of satellite platform. The traditional time-division imaging data based jitter detection and compensation methods have many drawbacks, which include large amount of calculation and high degree of error interference in dense matching, and it is unable to decompose the jitter quantity in each rotation angle direction. This paper takes the high-frequency angular displacement equipment which is carried by China’s remote sensing optical satellite for example, studies on the direct jitter detection method and the image geometric quality compensation method based on high-frequency attitude measurement angular displacement data, which include the windowed FIR filter pre-processing of angular displacement data, the phase distribution analysis on time-dependent jitter curve in pitch, roll and yaw directions, as well as image direct positioning compensation based on angular displacement data. The high-frequency jitter compensation is applied to attitude recovery and geometric rectification based on strict imaging geometric model.The experimental results of China’ remote sensing satellite images in Beijing area illustrate that the methods proposed in this paper can significantly improve the accuracy and reliability of the high- frequency jitter detection, and can effectively improve the internal geometric quality of satellite image after jitter compensation. For example, the length deformation accuracy can be improved by 0.5 pixel.
LIU Guanglin, YANG Shihong, and WU Qinzhang. An image motion compensation method based on multiphase CCD[J]. Journal of OptoelectronicsLaser, 2008, 19(7): 947-951. doi: 10.3321/j.issn:1005-0086.2008.07.024.
SHI Junxia, XUE Xucheng, and GUO Yongfei. Effect of satellite vibration on imaging quality of TDICCD camera and compensation method[J]. Opto-Electronic Engineering, 2010, 37(12): 11-16. doi: 10.3969/j.issn.1003-501X.2010.12.003.
XU Boqian. Study on image compensation technology for spaceborne cameras under micro-vibration circumstances[D]. [Ph.D. dissertation], Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2015.
FAN Chao, LI Yingcai, and YI Hongwei. Influence analysis of buffeting on image quality of TDICCD camera[J]. Acta Photonica Sinica, 2007, 36(9): 1714-1717.
SUN Yang. On-orbit platform jitter effect on image quality of high-resolution remote sensor[D]. [Ph.D. dissertation], Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2013.
ZHU Ying, WANG Mi, PAN Jun, et al. Detection of ZY-3 satellite platform jitter using multi-spectral imagery[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(4): 399-406. doi: 10.11947/j.AGCS.2015.20140024.
[7]
SUDEY JR J and SCHULMAN J R. In-orbit measurements of Landsat-4 thematic mapper dynamic disturbances[J]. Acta Astronautica, 1985, 12(7/8): 485-503. doi: 10.1016/0094- 5765(85)90119-5.
LIU Hailong. Space camera vibration parameters detection and blurred image restoration[D]. [Ph.D. dissertation], Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2015.
[9]
TIMONER S J and FREEMAN D M. Multi-image gradient based algorithms for motion estimation[J]. Optical Engineering, 2001, 40(9): 2003-2016. doi: 10.1117/1.1391495.
[10]
GADI H, YITZHAK Y, KOPEIKA N S, et al. Restoration of images captured by a staggered time-delay and integration camera in the presence of mechanical vibrations[J]. Applied Optics, 2004, 43(22): 4345-4354. doi: 10.1364/AO.43.004345.
[11]
HAIK O and YITZHAKY Y. Superresolution reconstruction of a video captured by a vibrated time delay and integration camera[J]. Journal of Electronic Imaging, 2006, 15(2): 113-128. doi: 10.1117/1.2194042.
[12]
ROQUES S, JAHAN L, ROUGE B, et al. Satellite attitude instability effects on stereo images[C]. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, 2004, 3: 477-480. doi: 10.1109/ ICASSP.2004.1326585.
[13]
AMBERG V, DECHOZ C, BERNARD L, et al. In-flight attitude perturbances estimation: Application to PLEIADES-HR satellites[C]. Proceedings of the International Society for Optical Engineering, San Diego, 2013, 8866: 886612. doi: 10.1117/12.2023275.
[14]
TONG Xiaohua, LI Lingyun, LIU Shijie, et al. Detection and estimation of ZY-3 three-line array image distortions caused by attitude oscillation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 101: 291-309. doi: 10.1016/ j.isprsjprs.2015.01.003.
[15]
TONG Xiaohua, XU Yusheng, YE Zhen, et al. Attitude oscillation detection of the ZY-3 satellite by using multispectral parallax images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(6): 3522-3534. doi: 10.1109/TGRS.2014.2379435.
SUN Tao, LONG Hui, ZHAO Dong, et al. Detection and compensation of satellite flutter based on image from multispectral camera with five spectral combinations[J]. Acta Optica Sinica, 2014, 34(7): 276-282. doi: 10.3788/AOS201434. 0728005.
[17]
JIANG Yonghua, ZHANG Guo, TANG Xinming, et al. Detection and correction of relative attitude errors for ZY1-02C[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(12): 7674-7683. doi: 10.1109/TGRS.2014. 2316419.
TAN Tianle, ZHU Chunyan, ZHU Dongfang, et al. Overview of micro-vibration testing, isolation and suppression technology for spacecraft[J]. Aerospace Shanghai, 2014, 31(6): 36-45. doi: 10.19328/j.cnki.1006-1630.2014.06.009.
[19]
TOYOSHIMA M and ARAKI K. In-orbit measurements of short term attitude and vibrational environment on the engineering test satellite VI using laser communication equipment[J]. Optical Engineering, 2001, 40(5): 827-832. doi: 10.1117/1.1355976.
HUO Hongqing, MA Mianjun, LI Yunpeng, et al. High precision measurement technology of satellite’s angle micro vibration[J]. Transducer and Microsystem Technologies, 2011, 30(3): 4-6. doi: 10.13873/j.1000-97872011.03.015.
WANG Zeyu, ZOU Yuanjie, JIAO Anchao, et al. The jitter measurement and analysis for a remote sensing satellite platform[J]. Spacecraft Environmente Engineering, 2015, 32(3): 278-285. doi: 10.3969/j.issn.1673-1379.2015.03.010.