Landmark Matching Method about Pointing to the Ground of Three-axis Stabilization Geostationary Remote Sensing Satellite

doi:10.11947/j.AGCS.2018.20170600

Abstract

Abstract: Geostationary remote sensing satellite is relatively static to the earth.However,because of the influences suffered from inner factors and outer environment,an error of geometric would be happened to satellite's pointing to the ground,and it will cause a large position error on the ground,so that,an effective modification is needed.This paper proposed a set calculation method of pointing to the ground based on landmark matching,which centered on the problem of pointing to the ground when the three-axis stabilization geostationary remote sensing satellite was shooting the earth disk.This method mainly solved the following problems:the generator method of landmark data which was the datum reference,robust matching method between image and landmark,the calculation method of pointing to the ground based on error elimination,and so on.The experiment showed that,this set of method had superior accuracy and stability in solving the error of pointing to the ground of geostationary remote sensing image.This technique had been applied in the online processing of related satellite data in our country.

Key words: three-axis stabilization, geostationary, pointing to the ground, landmark matching, nominal grid

CLC Number:

P237

DING Lu, TONG Xiaochong, QIN Zhiyuan, LAI Guangling. Landmark Matching Method about Pointing to the Ground of Three-axis Stabilization Geostationary Remote Sensing Satellite[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(11): 1506-1517.

References

[1] SHUSTER M D, OH S D. Three-axis Attitude Determination from Vector Observations[J]. Journal of Guidance Control and Dynamics, 1981, 4(1):70-77.
[2] AMINOU D M, LAMARRE D, STARK H, et al. Meteosat Third Generation (MTG) Status of Space Segment Definition[C]//Proceedings of Sensor, Systems, and Next-generation Satellite XⅢ. Berlin:SPIE, 2009, 7474(1):50-73.
[3] MURPHY D. EUMETSAT Geostationary Meteorological Satellite Programs[M]//PELTON J N, MADRY S, CAMACHO-LARA S. Handbook of Satellite Applications. New York:Springer, 2013:991-1019.
[4] 王密, 程宇峰, 常学立, 等. 高分四号静止轨道卫星高精度在轨几何定标[J]. 测绘学报, 2017, 46(1):53-61. DOI:10.11947/j.AGCS.2017.20160300. WANG Mi, CHENG Yufeng, CHANG Xueli, et al. High Accuracy On-orbit Geometric Calibration of Geosationary Satellite GF4[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(1):53-61. DOI:DOI:10.11947/j.AGCS.2017.20160300.
[5] SULLIVAN P C, KRIMCHANSKY A, WALSH T J. An Overview of the Design and Development of the Geostationary Operational Environmental Satellite R-Series (GOES-R) Space Segment[C]//Proceedings of 2017 EUMETSAT Meteorological Satellite Conference. Rome:NASA Goddard Space Flight Center, 2017.
[6] BESSHO K, DATE K, HAYASHI M, et al. An Introduction to Himawari-8/9-Japan's New-generation Geostationary Meteorological Satellites[J]. Journal of the Meteorological Society of Japan. Ser. Ⅱ, 2016, 94(2):151-183.
[7] ROTH R M, ZEH A. Long Cyclic Codes Over GF(4) and GF(8) Better than BCH Codes in the High-rate Region[J]. IEEE Transactions on Information Theory, 2017, 63(1):150-158.
[8] YANG Jun, ZHANG Zhiqing, WEI Caiying, et al. Introducing the New Generation of Chinese Geostationary Weather Satellites, Fengyun-4[J]. Bulletin of the American Meteorological Society, 2017, 98(8):1637-1658.
[9] EUMETSAT. Meteosat Third Generation (MTG) Will See the Launch of Six New Geostationary (Imaging and Sounding) Satellites from 2021 Onwards[EB/OL]. (2017-10-15)[2018-01-20]. https://www.eumetsat.int/website/home/Satellites/FutureSatellites/MeteosatThirdGeneration/index.html.
[10] BEULAH R, PUNITHAVALLI M. Prediction of Sugarcane Diseases Using Data Mining Techniques[C]//Proceedings of 2016 IEEE International Conference on Advances in Computer Applications. Coimbatore:IEEE Press, 2016:393-396.
[11] BARRY J D, MECHERLE G S. Beam Pointing Error As a Significant Design Parameter for Satellite-borne, Free-space Optical Communication Systems[J]. Optical Engineering, 1985, 24(6):1049-1054.
[12] NUTH C, KÄÄB A. Co-registration and Bias Corrections of Satellite Elevation Data Sets for Quantifying Glacier Thickness Change[J]. The Cryosphere, 2011, 5(1):271-290.
[13] 张占睦, 芮杰. 遥感技术基础[M]. 北京:科学出版社, 2007. ZHANG Zhanmu, RUI Jie. Fundamental of Remote Sensing Technology[M]. Beijing:Science Press, 2007.
[14] 林栋, 秦志远, 童晓冲, 等. 静止轨道卫星的对地观测高程修正方法[J]. 武汉大学学报(信息科学版), 2017, 42(6):851-856. LIN Dong, QIN Zhiyuan, TONG Xiaochong, et al. Elevation Correction Method for Earth Observation of Geosationary Satellites[J]. Geomatics and Information Science of Wuhan University, 2017, 42(6):851-856.
[15] 常学立. 静止轨道高分辨率面阵相机几何处理关键技术研究[D]. 武汉:武汉大学, 2015. CHANG Xueli. Research on Key Technologies of Geometric Processing for High-resolution Area-array Camera of Sationary Orbit Satellite[D]. Wuhan:Wuhan University, 2015.
[16] 杨磊, 杨忠东. 极轨气象卫星自动地标导航方法[J]. 应用气象学报, 2009, 20(3):329-336. YANG Lei, YANG Zhongdong. The Automated Landmark Navigation of the Polar Meteorological Satellite[J]. Journal of Applied Meteorological Science, 2009, 20(3):329-336.
[17] 杨磊, 冯小虎, 郭强, 等. 风云二号气象卫星图像自动几何精校正[J]. 计算机工程与应用, 2011, 47(3):202-206. YANG Lei, FENG Xiaohu, GUO Qiang, et al. Automatic Geometric Precision Correction of Fengyun-2 Meteorological Satellite Imagery[J]. Computer Engineering and Applications, 2011, 47(3):202-206.
[18] BUZSÁKI G. Theta Rhythm of Navigation:Link Between Path Integration and Landmark Navigation, Episodic and Semantic Memory[J]. Hippocampus, 2005, 15(7):827-840.
[19] YANG Lei, FENG Xiaohu, LV Ke, et al. Automated Landmark Matching of FY-2 Visible Imagery with Its Applications to the On-obit Image Navigation Performance Analysis and Improvements[J]. Chinese Journal of Electromics, 2014, 23(3):649-654.
[20] EUGENIO F, MARQUÉS F. Automatic Satellite Image Georeferencing Using a Contour-matching Approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(12):2869-2880.
[21] 徐文, 龙小祥, 李庆鹏, 等. "高分四号"卫星影像辐射与几何精度评价[J]. 航天返回与遥感, 2016, 37(4):16-25. XU Wen, LONG Xiaoxiang, LI Qingpeng, et al. Image Radiometric and Geometric Accuracy Evaluation of GF-4 Satellite[J]. Spacecraft Recovery and Remote Sensing, 2016, 37(4):16-25.
[22] 胡炳亭, 徐涛, 江世臣, 等. 多通道扫描成像辐射计热设计[J]. 红外技术, 2011, 33(3):141-146. HU Bingting, XU Tao, JIANG Shichen, et al. Thermal Control Design of Multi Channel Scanning Imagery Radiometer[J]. Infrared Technology, 2011, 33(3):141-146.
[23] EUMETSAT. LRIT/HRIT Global Specification[R]. Darmstadt:Coordination Group for Meteorological Satellites,2013.
[24] 徐慧. 遥感图像中的云区域检测及去除方法研究[D]. 合肥:安徽大学, 2011. XU Hui. Research on Cloud Detection and Removal of Remote Sensing Image[D]. Hefei:Anhui University, 2011.
[25] 耿则勋, 张保明, 范大昭. 数字摄影测量学[M]. 北京:测绘出版社, 2010. GENG Zexun, ZHANG Baoming, FAN Dazhao. Digital Photogrammetry[M]. Beijing:Surveying and Mapping Press, 2010.
[26] 田军委, 王沁, 赵鹏, 等. 特定边界跟踪中角点检测研究[J]. 应用光学, 2014, 35(6):991-995. TIAN Junwei, WANG Qin, ZHAO Peng, et al. Corner Point Detection in Interested Boundary Tracking[J]. Journal of Applied Optics, 2014, 35(6):991-995.
[27] KHOTANZAD A, HONG Y H. Invariant Image Recognition by Zernike Moments[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 12(5):489-497.
[28] BROWN M E, TRUJILLO C, RABINOWITZ D. Discovery of A Candidate Inner Oort Cloud Planetoid[J]. The Astrophysical Journal, 2004, 617(1):645-649.
[29] 皮英冬, 杨博, 李欣. 基于有理多项式模型的GF4卫星区域影像平差处理方法及精度验证[J]. 测绘学报, 2016, 45(12):1448-1454. DOI:10.11947/j.AGCS.20160262. PI Yingdong, YANG Bo, LI Xin. Block-adjustment and Accuracy Validation for GF4 Patch-images Based on RFM[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(12):1448-1454. DOI:10.11947/j.AGCS.20160262.
[30] YANG Shaowen, WANG C C, CHANG Chunhua. RANSAC Matching:Simultaneous Registration and Segmentation[C]//Proceedings of 2010 IEEE International Conference on Robotics and Automation. Anchorage:IEEE Press, 2010:1905-1912.
[31] JENKINSON M, SMITH S. A Global Optimisation Method for Robust Affine Registration of Brain Images[J]. Medical Image Analysis, 2001, 5(2):143-156.
[32] 陈西强, 黄张裕. 抗差估计的选权迭代法分析与比较[J]. 测绘工程, 2010, 19(4):8-11, 15. CHEN Xiqiang, HUANG Zhangyu. Analysis and Comparison of the Selecting Weight Iteration Method in Resistance Robust Estimation[J]. Engineering of Surveying and Mapping, 2010, 19(4):8-11, 15.
[33] 王冰, 李积捷, 王春瑛, 等. 基于改进IGGⅢ和快速分解法的电力系统状态估计算法[J]. 继电器, 2008, 36(11):1-4, 41. WANG Bing, LI Jijie, WANG Chunying, et al. State Estimation Algorithm Based on the Improved Method of IGGⅢ and Fast Decoupled Arithmetic[J]. Relay, 2008, 36(11):1-4, 41.
[34] 隋立芬, 宋力杰, 柴洪洲. 误差理论与测量平差基础[M]. 北京:测绘出版社, 2010. SUI Lifen, SONG Lijie, CHAI Hongzhou. Error Theory and Foundation of Surveying Adjustment[M]. Beijing:Surveying and Mapping Press, 2010.
[35] MANSOUR Y, VAAHEDI E, CHANG A Y, et al. BC Hydro's On-line Transient Stability Assessment (TSA) Model Development, Analysis and Post-processing[J]. IEEE Transactions on Power Systems, 1995, 10(1):241-253.
[36] WESSEL P, SMITH W H F. A Global Self-consistent, Hierarchical, High-resolution Geography Database[R]. Honolulu:GSHHG, 2017.