利用稀少控制点的线阵推扫式光学卫星在轨几何定标方法

doi:10.11947/j.AGCS.2019.20180332

测绘学报 ›› 2019, Vol. 48 ›› Issue (2): 216-225.doi: 10.11947/j.AGCS.2019.20180332

利用稀少控制点的线阵推扫式光学卫星在轨几何定标方法

皮英冬¹, 谢宝蓉², 杨博^3,4, 张昳玲², 李欣¹, 王密^3,4

1. 武汉大学遥感信息工程学院, 湖北武汉 430079;
2. 上海航天电子技术研究所, 上海 201109;
3. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
4. 地球空间信息协同创新中心, 湖北武汉 430079

收稿日期:2018-07-12 修回日期:2018-11-12 出版日期:2019-02-20 发布日期:2019-03-02
通讯作者: 杨博 E-mail:xt000025@whu.edu.cn
作者简介:皮英冬(1992-),男,博士,研究方向为航天摄影测量的研究与应用。E-mail:piyingdong@whu.edu.cn
基金资助:
国家自然科学基金（41601492）；上海航天科技创新基金（SAST2016091）；国家重点研究发展计划（2016YFB0501402）

On-orbit geometric calibration of linear push-broom optical satellite only using sparse GCPs

PI Yingdong¹, XIE Baorong², YANG Bo^3,4, ZHANG Yiling², LI Xin¹, WANG Mi^3,4

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
2. Shanghai Aerospace Electronic Technology Research Institute, Shanghai 201109, China;
3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
4. Collaborative Innovation Center Of Geospatial Technology, Wuhan 430079, China

Received:2018-07-12 Revised:2018-11-12 Online:2019-02-20 Published:2019-03-02
Supported by:
The National Natural Science Foundation of China (No. 41601492);Shanghai Aerospace Science and Fechnology Innovation Foundation (No. SAST2016091);Development Program of China (No. 2016YFB0501402)

摘要/Abstract

摘要：

针对线阵推扫式光学遥感卫星，提出了一种基于稀少控制点的在轨几何定标方法。本文方法利用沿CCD方向的两景重叠影像对及影像覆盖区域的稀少控制点数据即可实现内外系统误差参数的高精度解算，进而有效恢复视场内每个CCD探元的光线指向，摆脱了传统方法对昂贵的高精度地面定标场数据的依赖。本文首先在推扫式光学遥感卫星成像机理的基础上建立相应的严格几何成像模型，并对影响卫星影像几何精度的系统误差进行了分析，在此基础上采用一种基于指向角的内参数优化模型构建了适用于本方法的几何定标模型。然后，结合本方法的特点，采用一种分步解算的方法分别对外参数和内参数分别进行了标定。最后，通过一组ZY-3卫星下视相机的真实数据试验对本文方法的有效性及精度进行了对比验证。

关键词: 光学卫星, 在轨几何定标, 重叠影像对, 稀少控制点, 指向角

Abstract:

The paper presents a geometric calibration method based on the sparse ground control points (GCPs), aiming to the linear push-broom optical satellite. This method can achieve the optimal estimate of internal and external parameters with two overlapped image pair along the charge-coupled device (CCD), and sparse GCPs in the image region, further get rid of the dependence on the expensive calibration site data. With the calibrated parameters, the line of sight (LOS) of all CCD detectors can be recovered. This paper firstly establishes the rigorous imaging model of linear push-broom optical satellite based on its imaging mechanism. And then the calibration model is constructed by improving the internal sensor model with viewing-angle model after an analysis on systematic errors existing in the imaging model is performed. A step-wise solution is applied aiming to the optimal estimate of external and internal parameters. At last, we conduct a set of experiments on ZY-3 NAD camera, and verify the accuracy and effectiveness of the presented method by comparison.

Key words: optical satellite, on-orbit geometric calibration, overlapped image pair, sparse GCPs, viewing angle

中图分类号:

P231

皮英冬, 谢宝蓉, 杨博, 张昳玲, 李欣, 王密. 利用稀少控制点的线阵推扫式光学卫星在轨几何定标方法[J]. 测绘学报, 2019, 48(2): 216-225.

PI Yingdong, XIE Baorong, YANG Bo, ZHANG Yiling, LI Xin, WANG Mi. On-orbit geometric calibration of linear push-broom optical satellite only using sparse GCPs[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(2): 216-225.

参考文献

[1] BOUILLON A, BERNARD M, GIGORD P, et al. SPOT5 HRS geometric performances:using block adjustment as a key issue to improve quality of DEM generation[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2006, 60(3):134-146.
[2] DIAL G. IKONOS satellite mapping accuracy[C]//Proceedings of ASPRS. Washington DC:Springer, 2000.
[3] GRODECKI J, LUTES J. IKONOS geometric calibrations[C]//Proceedings of the ASPRS 2005 Annual Conference. Baltimore, Maryland:Springer, 2005.
[4] FRASER C S, HANLEY H B, YAMAKAWA T. High-precision geopositioning from IKONOS satellite imagery[C]//Proceedings of ASCM-APSRS Annual Convention. Washington DC:Springer, 2002.
[5] GRODECKI J, DIAL G. IKONOS geometric accuracy[C]//Proceedings of Joint Workshop of ISPRS Working Groups I/2, I/5 and IV/7 on High Resolution Mapping from Space 2001. Hannover, Germany:University of Hannover:Elsevier, 2001.
[6] MULAWA D. On-orbit geometric calibration of the OrbView-3 high resolution imaging satellite[C]//ISPRS XXth Congress Proceedings. Istanbul:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences:Elsevier, 2004.
[7] 杨博, 王密. 资源一号02C卫星全色相机在轨几何定标方法[J]. 遥感学报, 2013, 17(5):1175-1190. YANG Bo, WANG Mi. On-orbit geometric calibration method of ZY-102C panchromatic camera[J]. Journal of Remote Sensing, 2013, 17(5):1175-1190.
[8] WANG Mi, YANG Bo, HU Fen, et al. On-orbit geometric calibration model and its applications for high-resolution optical satellite imagery[J]. Remote Sensing, 2014, 6(5):4391-4408.
[9] 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.
[10] 龚健雅, 王密, 杨博. 高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法[J]. 测绘学报, 2017, 46(10):1255-1261. DOI:10.11947/j.AGCS.2017.20170307. GONG Jianya, WANG Mi, YANG Bo. High-precision geometric processing theory and method of high-resolution optical remote sensing satellite imagery without GCP[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1255-1261. DOI:10.11947/j.AGCS.2017.20170307.
[11] 曹金山, 袁修孝, 龚健雅, 等. 资源三号卫星成像在轨几何定标的探元指向角法[J]. 测绘学报, 2014, 43(10):1039-1045. DOI:10.13485/j.cnki.11-2089.2014.0147. CAO Jinshan, YUAN Xiuxiao, GONG Jianya, et al. The look-angle calibration method for on-orbit geometric calibration of ZY-3 satellite imaging sensors[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(10):1039-1045. DOI:10.13485/j.cnki.11-2089.2014.0147.
[12] CHEN Yifu, XIE Zhong, QIU Zhengge, et al. Calibration and validation of ZY-3 optical sensors[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8):4616-4626.
[13] ZHANG Guo, JIANG Yonghua, LI Deren, et al. In-orbit geometric calibration and validation of ZY-3 linear array sensors[J]. The Photogrammetric Record, 2014, 29(145):68-88.
[14] TAKAKU J, TADONO T. PRISM On-orbit geometric calibration and DSM performance[J]. IEEE Transactions on Geoscience & Remote Sensing, 2009, 47(12):4060-4073.
[15] 孟伟灿, 朱述龙, 曹闻, 等. 线阵推扫式相机高精度在轨几何标定[J]. 武汉大学学报(信息科学版), 2015, 40(10):1392-1399, 1413. MENG Weican, ZHU Shulong, CAO Wen, et al. High accuracy on-orbit geometric calibration of linear push-broom cameras[J]. Geomatics & Information Science of Wuhan University, 2015, 40(10):1392-1399, 1413.
[16] CRESPI M, COLOSIMO G, DE VENDICTIS L, et al. GeoEye-1:Analysis of radiometric and geometric capability[C]//Personal Satellite Services. PSATS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 43. Berlin, Heidelberg:Springer, 2010:354-369.
[17] GRUEN A, KOCAMAN S, WOLFF K. Calibration and validation of early ALOS/PRISM imagery[J]. Journal of the Japan Society of Photogrammetry & Remote Sensing, 2007(46):24-38.
[18] RADHADEVI P V, SOLANKI S S. In-flight geometric calibration of different cameras of IRS-P6 using a physical sensor model[J]. The Photogrammetric Record, 2008, 23(121):69-89.
[19] PI Yingdong, YANG Bo, WANG Mi, et al. On-orbit geometric calibration using a cross-image pair for the linear sensor aboard the agile optical satellite[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 14(7):1176-1180.
[20] WANG Mi, CHENG Yufeng, CHANG Xueli, et al. On-orbit geometric calibration and geometric quality assessment for the high-resolution geostationary optical satellite GaoFen4[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2017(125):63-77.
[21] YANG Bo, WANG Mi, XU Wen, et al. Large-scale block adjustment without use of ground control points based on the compensation of geometric calibration for ZY-3 images[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2017(134):1-14.
[22] YANG Bo, PI Yingdong, LI Xin, et al. Relative geometric refinement of patch images without use of ground control points for the geostationary optical satellite GaoFen4[J]. IEEE Transactions on Geoscience & Remote Sensing, 2018, 56(1):474-484.
[23] 王密, 杨博, 金淑英. 一种利用物方定位一致性的多光谱卫星影像自动精确配准方法[J]. 武汉大学学报(信息科学版), 2013, 38(7):765-769. WANG Mi, YANG Bo, JIN Shuying. A registration method based on object-space positioning consistency for satellite multi-spectral Image[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7):765-769.
[24] 曹海翊, 刘希刚, 李少辉, 等. "资源三号"卫星遥感技术[J]. 航天返回与遥感, 2012, 33(3):7-16. CAO Haiyi, LIU Xigang, LI Shaohui, et al. ZY-3 satellite remote sensing technology[J]. Spacecraft Recovery & Remote Sensing, 2012, 33(3):7-16.
[25] LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2):91-110.

利用稀少控制点的线阵推扫式光学卫星在轨几何定标方法

On-orbit geometric calibration of linear push-broom optical satellite only using sparse GCPs

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

编辑推荐

Metrics

本文评价

[1]	周苗, 常晓涛, 朱广彬, 瞿庆亮, 刘伟. 卫星重力与光学遥感组合的念青唐古拉山脉冰川变化分析[J]. 测绘学报, 2021, 50(10): 1331-1337.
[2]	张过, 蒋永华, 李立涛, 邓明军, 赵瑞山. 高分辨率光学/SAR卫星几何辐射定标研究进展[J]. 测绘学报, 2019, 48(12): 1604-1623.
[3]	龚健雅, 王密, 杨博. 高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法[J]. 测绘学报, 2017, 46(10): 1255-1261.
[4]	曹金山袁修孝龚健雅段梦梦. 资源三号卫星成像在轨几何定标的探元指向角法[J]. 测绘学报, 2014, 43(10): 1039-1045.
[5]	程春泉,邓喀中,孙钰珊,李小涛. 长条带卫星线阵影像区域网平差研究[J]. 测绘学报, 2010, 39(2): 0-145.