线阵推扫式相机高精度在轨几何标定

孟伟灿, 朱述龙, 曹闻, 曹彬才, 高翔

孟伟灿, 朱述龙, 曹闻, 曹彬才, 高翔. 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. DOI: 10.13203/j.whugis20140534
引用本文: 孟伟灿, 朱述龙, 曹闻, 曹彬才, 高翔. 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. DOI: 10.13203/j.whugis20140534
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MENG Weican, ZHU Shulong, CAO Wen, CAO Bincai, GAO Xiang. High Accuracy On-Orbit Geometric Calibration of Linear Push-broom Cameras[J]. Geomatics and Information Science of Wuhan University, 2015, 40(10): 1392-1399,1413. DOI: 10.13203/j.whugis20140534
Citation: MENG Weican, ZHU Shulong, CAO Wen, CAO Bincai, GAO Xiang. High Accuracy On-Orbit Geometric Calibration of Linear Push-broom Cameras[J]. Geomatics and Information Science of Wuhan University, 2015, 40(10): 1392-1399,1413. DOI: 10.13203/j.whugis20140534
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线阵推扫式相机高精度在轨几何标定

  • 1.

    信息工程大学导航与空间目标工程学院, 河南 郑州, 450052;

  • 2.

    信息工程大学地理空间信息学院, 河南 郑州, 450052

基金项目: 国家自然科学基金资助项目(41101396,41001262);地理信息工程国家重点实验室开发基金资助项目(SKLGIE2013-M-3-4)。
详细信息
    作者简介:

    孟伟灿,博士生,主要从事航天摄影测量研究。E-mail:wwss_000@163.com

  • 中图分类号: P237.3

High Accuracy On-Orbit Geometric Calibration of Linear Push-broom Cameras

  • 1.

    Institution of Navigation and Aerospace Engineering, Information Engineering University, Zhengzhou 450052, China;

  • 2.

    Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China

Funds: The National Natural Science Foundation of China, Nos. 41101396, 41001262; the Open Research Fund Program of State Key Laboratory of Geographical Information Engineering, No. SKLGIE2013-M-3-4.

摘要

    摘要
  • 摘要: 基于偏置矩阵和探元指向角构建了线阵推扫式相机的在轨几何标定模型,并给出了相应的参数求解方法。分析了线阵推扫式相机物理内参数模型与指向角内参数模型的区别与联系,对物理模型到指向角模型的演化过程进行了推导,分析了偏视场相机与正视场相机在使用指向角模型时的不同,并分别给出了两者的具体计算公式。利用嵩山检校场高精度控制数据和天绘一号高分影像验证了本文的模型和解法。实验结果表明,本文的标定模型和求解方法可解算出稳健可靠的内参数;两次标定结果相比,95%的样本探元沿轨方向的指向差异小于0.1像元,93%的样本探元垂轨方向的指向差异小于0.2像元。经在轨几何标定,影像定位精度显著提升。
    Abstract: An on-orbit geometric calibration model is established based on an offset matrix and direction angle model,the corresponding solution is presented in this paper. Similarities and differences between the physical distortion model and direction angle distortion model are analyzed. The direction angle distortion model in a linear push-broom camera is derived from the physical distortion model. Differences between the field central camera and field bias one are analyzed and their direction angle model formulas are separately provided. Control data from the Songshan mountain test field and a HR image from the TH-1 satellite are employed to verify this calibration model and solution. Experiments indicate that stable inner parameters can be obtained by this calibration model and solution method. Between the two calibrated inner results, 95 percent of along-track direction angle difference is less than 0.1 pixels and 93 percent of across-track direction angle difference is less than 0.2 pixels. After on-orbit geometric calibration, image positioning accuracy was significantly improved.
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出版历程
  • 收稿日期:  2014-07-11
  • 发布日期:  2015-10-04

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