System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle

Bin LI; Ya-lin DING; Ji-hong XIU; Jun LI; Chuan QIAO

doi:10.3788/OPE.20202806.1265

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System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle

更新时间：2020-07-13

- System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle
- Optics and Precision Engineering Vol. 28, Issue 6, Pages: 1265-1274(2020)
- 作者机构：
  
  1.中国科学院长春光学精密机械与物理研究所中国科学院航空光学成像与测量重点实验室, 吉林长春 130033
  2.北京控制工程研究所, 北京 100190
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20202806.1265
  CLC： V443.5
- Received：02 December 2019，
  
  Accepted：07 January 2020，
  
  Published：25 June 2020
- 稿件说明：
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Bin LI, Ya-lin DING, Ji-hong XIU, et al. System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle[J]. Optics and precision engineering, 2020, 28(6): 1265-1274.
DOI：

Bin LI, Ya-lin DING, Ji-hong XIU, et al. System error corrected ground target geo-location method for long-distance aviation imaging with large inclination angle[J]. Optics and precision engineering, 2020, 28(6): 1265-1274. DOI： 10.3788/OPE.20202806.1265.

摘要

针对目前对地目标定位算法在大倾角远距离航空成像应用时定位误差较大的问题，提出了一种修正系统误差定位方法。对大倾角远距离航空成像系统的系统误差进行分析与建模，给出了包含系统误差修正模型的对地目标定位算法，并针对残余误差的获取问题，进一步提出了一种依据地面控制点估计残留误差参数的方法。仿真结果表明，依据地面控制点估计残留误差参数，可将残留误差降为1/10。飞行试验数据验证，在进行大倾角远距离航空成像目标定位时，通过修正系统误差可将定位误差平均值从401 m缩小到97 m。修正系统误差定位方法可以有效提高在大倾角远距离航空成像应用时对地目标定位的准确度。

Abstract

To solve the problem of large geo-location error in the application of ground target geo-location in long-distance aviation imaging with large inclination angle

a systematic error corrected geo-location was proposed. The systematic error analysis and modeling of the long-distance aviation imaging system with large inclination angle was carried out. In view of the difficulty in obtaining the residual error

a method for estimating residual error parameters based on ground control points was proposed.The simulation results show that the residual error can be reduced to 1/10 by estimating residual error parameters based on ground control points. Flight test data confirm that the mean geo-location error can be reduced from 401 m to 97 m by correcting the systematic error in the positioning of targets in long-distance aviation imaging with large inclination angle. Thus

the systematic error corrected geo-location method can effectively improve the accuracy of ground target geo-location in the application of long-distance aviation imaging with large inclination angle.

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Related Institution

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