Acta Geodaetica et Cartographica Sinica >

2017 , Vol. 46 >Issue 10: 1500 - 1508

DOI: https://doi.org/10.11947/j.AGCS.2017.20170384

Essential Technology and Application of Jitter Detection and Compensation for High Resolution Satellites

  • TONG Xiaohua ,
  • YE Zhen ,
  • LIU Shijie
Expand
  • College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China

Received date: 2017-07-05

  Revised date: 2017-09-08

  Online published: 2017-10-26

Supported by

The National Natural Science Foundation of China (Nos. 41631178;41325005;41401531);ZY-3 Satellite Application System Software Project by Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation

Fold

Abstract

Satellite jitter is a common and complex phenomenon for the on-orbit high resolution satellites, which may affect the mapping accuracy and quality of imagery. A framework of jitter detection and compensation integrating data processing of multiple sensors is proposed in this paper. Jitter detection is performed based on multispectral imagery, three-line-array imagery, dense ground control and attitude measurement data, and jitter compensation is conducted both on image and on attitude with the sensor model. The platform jitter of ZY-3 satellite is processed and analyzed using the proposed technology, and the results demonstrate the feasibility and reliability of jitter detection and compensation. The variation law analysis of jitter indicates that the frequencies of jitter of ZY-3 satellite hold in the range between 0.6 and 0.7 Hz, while the amplitudes of jitter of ZY-3 satellite drop from 1 pixel in the early stage to below 0.4 pixels and tend to remain stable in the following stage.

Key words： satellite jitter; jitter detection; jitter compensation; ZY-3 satellite

Cite this article

TONG Xiaohua , YE Zhen , LIU Shijie . Essential Technology and Application of Jitter Detection and Compensation for High Resolution Satellites[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(10) : 1500 -1508 . DOI: 10.11947/j.AGCS.2017.20170384

References

[1] TOUTIN T. State-of-the-Art of Geometric Correction of Remote Sensing Data:A Data Fusion Perspective[J]. International Journal of Image and Data Fusion, 2011, 2(1):3-35.
[2] 刘斌. 高分辨光学卫星空地一体化定姿及姿态抖动下影像几何处理方法研究[D]. 武汉:武汉大学, 2011. LIU Bin. Space-ground Intergated Attitude Determination of High-resolution Satellite and Geometric Image Processing Under Jitter Conditions[D]. Wuhan:Wuhan University, 2011.
[3] KIRK R L, HOWINGTON-KRAUS E, ROSIEK M R, et al. Ultrahigh Resolution Topographic Mapping of Mars with MRO HiRISE Stereo Images:Meter-scale Slopes of Candidate Phoenix Landing Sites[J]. Journal of Geophysical Research:Planets, 2008, 113(E12):E00A24.
[4] TESHIMA Y, IWASAKI A. Correction of Attitude Fluctuation of Terra Spacecraft Using ASTER/SWIR Imagery with Parallax Observation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1):222-227.
[5] MATTSON S, ROBINSON M, MCEWEN A, et al. Early Assessment of Spacecraft Jitter in LROC-NAC[C]//Proceedings of the 41st Lunar and Planetary Institute Science Conference. The Woodlands, TX:Lunar and Planetary Institute, 2010:1871.
[6] TONG Xiaohua, YE Zhen, XU Yusheng, et al. Framework of Jitter Detection and Compensation for High Resolution Satellites[J]. Remote Sensing, 2014, 6(5):3944-3964.
[7] MATTSON S, BARTELS A, BOYD A, et al. Continuing Analysis of Spacecraft Jitter in LROC-NAC[C]//Proceedings of the 42nd Lunar and Planetary Institute Science Conference. The Woodlands, TX:Lunar and Planetary Institute, 2011:2756.
[8] 孙阳. 卫星平台在轨颤振对高分辨率遥感器成像质量影响的研究[D]. 长春:中国科学院研究生院(长春光学精密机械与物理研究所), 2013. SUN Yang. On-orbit Platform Jitter Effect on Image Quality of High-resolution Remote Sensor[D]. Changchun:Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2013.
[9] SUN Tao, LONG Hui, LIU Baocheng, et al. Application of Attitude Jitter Detection Based on Short-time Asynchronous Images and Compensation Methods for Chinese Mapping Satellite-1[J]. Optics Express, 2015, 23(2):1395-1410.
[10] WANG Mi, ZHU Ying, JIN Shuying, et al. Correction of ZY-3 Image Distortion Caused by Satellite Jitter via Virtual Steady Reimaging Using Attitude Data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 119:108-123.
[11] IWASAKI A. Detection and Estimation of Satellite Attitude Jitter Using Remote Sensing Imagery[M]//HALL J. Advances in Spacecraft Technologies. Rijeka, Croatia:InTech, 2011:257-272.
[12] KIRK R L, HOWINGTON-KRAUS E, REDDING B, et al. High-Resolution Topomapping of Candidate MER Landing Sites With Mars Orbiter Camera Narrow-angle Images[J]. Journal of Geophysical Research:Planets, 2003, 108(E12):8088.
[13] ROBERTSON B C. Rigorous Geometric Modeling and Correction of QuickBird Imagery[C]//Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Toulouse:IEEE, 2003(2):797-802.
[14] BOUILLON A, BERNARD M, GIGORD P, et al. SPOT 5 HRS Geometric Performances:Using Block Adjustment as a Key Issue to Improve Quality of DEM Generation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 60(3):134-146.
[15] MUMTAZ R, PALMER P. Attitude Determination by Exploiting Geometric Distortions in Stereo Images of DMC Camera[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(3):1601-1625.
[16] GWINNER K, SCHOLTEN F, PREUSKER F, et al. Topography of Mars from Global Mapping by HRSC High-resolution Digital Terrain Models and Orthoimages:Characteristics and Performance[J]. Earth and Planetary Science Letters, 2010, 294(3-4):506-519.
[17] MATTSON S, BOYD A, KIRK R L, et al. HiJACK:Correcting Spacecraft Jitter in HiRISE Images of Mars[C]//Proceedings of European Planetary Science Congress. Potsdam:[s.n.], 2009(4):1-2.
[18] RAN Qiong, CHI Yaobin, WANG Zhiyong. Property and Removal of Jitter in Beijing-1 Small Satellite Panchromatic Images[C]//International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume ⅩⅩⅩⅦ. Beijing:ISPRS, 2008:929-933.
[19] TAKAKU J, TADONO T. High Resolution DSM Generation from Alos Prism-processing Status and Influence of Attitude Fluctuation[C]//Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Honolulu:IEEE, 2010:4228-4231.
[20] AMBERG V, DECHOZ C, BERNARD L, et al. In-flight Attitude Perturbances Estimation:Application to PLEIADES-HR Satellites[C]//Proceedings of Volume 8866, Earth Observing Systems ⅩⅧ, San Diego, California, United States:SPIE, 2013(8866):886612.
[21] WANG Mi, FAN Chengcheng, PAN Jun, et al. Image Jitter Detection and Compensation Using a High-frequency Angular Displacement Method for Yaogan-26 Remote Sensing Satellite[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017(130):32-43.
[22] 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.
[23] TONG Xiaohua, YE Zhen, XU Yusheng, et al. A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8):4143-4156.
[24] 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.
[25] TONG Xiaohua, YE Zhen, LI Lingyun, et al. Detection and Estimation of Along-track Attitude Jitter from ZY-3 Three-line-array Images Based on Back-projection Residuals[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8):4272-4284.
[26] LIU Shijie, TONG Xiaohua, WANG Fengxiang, et al. Attitude Jitter Detection Based on Remotely Sensed Images and Dense Ground Controls:A Case Study for Chinese ZY-3 Satellite[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(12):5760-5766.
[27] YE Z, XU Y, WANG F, et al. Estimation of the Attitude Perturbance Using Parallax Imagery-Application to ZY-3 Satellite[C]//ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume Ⅱ-3/W4. Munich:ISPRS, 2015:279-283.
[28] LOWE D G. Distinctive Image Features from Scale-invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2):91-110.
[29] ZHANG Li, GRUEN A. Multi-Image Matching for DSM Generation from IKONOS Imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 60(3):195-211.
[30] GRUEN A. Adaptive Least Squares Correlation:A Powerful Image Matching Technique[J]. South African Journal of Photogrammetry, Remote Sensing and Cartography, 1985, 14(3):175-187.
[31] 陈杰, 周荫清, 李春升, 等. 卫星姿态指向抖动与SAR成像质量关系研究[J]. 北京航空航天大学学报, 2001, 27(5):518-521. CHEN Jie, ZHOU Yinqing, LI Chunsheng, et al. Relationship between Satellite Attitude Jitter and SAR Imaging Quality[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(5):518-521.
[32] FÖRSTNER W, GVLCH E. A Fast Operator for Detection and Precise Location of Distinct Points, Corners and Centres of Circular Feature[C]//Proceeding of ISPRS Intercommission Conference on Fast Processing on Photogrammetric Data. Interlaken:ISPRS, 1987:281-305.
[33] 李德仁. 我国第一颗民用三线阵立体测图卫星——资源三号测绘卫星[J]. 测绘学报, 2012, 41(3):317-322. LI Deren. China's First Civilian Three-Line-Array Stereo Mapping Satellite:ZY-3[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(3):317-322.
Options
Outlines

/

〈 〉