大口径测绘相机内方位元素标定和畸变矫正方法

王誉都; 陈凡胜

doi:10.3788/OPE.20162413.0675

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大口径测绘相机内方位元素标定和畸变矫正方法

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- 大口径测绘相机内方位元素标定和畸变矫正方法
- Calibration of inner orientation elements and distort correction for large diameter space mapping camera
- 光学精密工程 2016年24卷第10s期页码：675-681
- 作者机构：
  
  1. 中国科学院大学北京,中国,100049
  2. 中国科学院上海技术物理研究所上海,200083
- 作者简介：
- 基金信息：
  
  中国科学院上海技术物理研究所创新资助项目（No.CX-64）()
- DOI：10.3788/OPE.20162413.0675
  中图分类号： O439;TP301.6
- 收稿日期：2016-05-24，
  
  修回日期：2016-06-11，
  
  纸质出版日期：2016-11-14
- 稿件说明：
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王誉都, 陈凡胜,. 大口径测绘相机内方位元素标定和畸变矫正方法[J]. 光学精密工程, 2016,24(10s): 675-681

WANG Yu-du, CHEN Fan-sheng,. Calibration of inner orientation elements and distort correction for large diameter space mapping camera[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 675-681
王誉都, 陈凡胜,. 大口径测绘相机内方位元素标定和畸变矫正方法[J]. 光学精密工程, 2016,24(10s): 675-681 DOI： 10.3788/OPE.20162413.0675.

WANG Yu-du, CHEN Fan-sheng,. Calibration of inner orientation elements and distort correction for large diameter space mapping camera[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 675-681 DOI： 10.3788/OPE.20162413.0675.

摘要

在空间大口径测绘相机系统的应用中，内方位元素的标定和畸变是严重影响其定位精度的重要因素。为提高该系统的定位精度，本文对其畸变特性进行了分析和研究。根据大口径测绘相机非中心对称性畸变图像的特点，提出了一种利用改进的二维拉格朗日插值对系统进行畸变矫正的方法。首先在二维像面上取一系列样点，用实验的方法得到其矫正前后的对应关系，然后利用这些样点对需要校正的像点进行二维拉格朗日插值，得到其矫正后的位置。针对系统的两个通道，该方法的畸变矫正精度可达0.37个像元以内。该方法克服了传统方法在对畸变图像进行矫正时测算流程复杂、图像边缘畸变精度差的不足，对其他大口径测绘相机具有普遍意义和广泛的实用性。

Abstract

In the applications of large diameter space mapping camera system

the calculation of inner orientation elements and the distortion correction are the important factors

and can affect the positioning accuracy. In order to improve the accuracy of the system

distortion feature was explored and analyzed in this paper. According to the characteristic of noncentral symmetry distortion image of large diameter space mapping camera

a method which uses improved two-dimension Lagrange interpolation was provided to correct the distortion of the system. First

a number of samples dots were taken on the two-dimensional image

Then the corresponding positions of the dots before and after correction were obtained through experiments

and these samples dots were used to determine the position of image dots with assistance of two dimensional Lagrange interpolation. In terms of two channels in the system

the accuracy of distortion correction is within 0.37 pixel by utilizing this method. This method overcomes the deficiencies of the traditional methods of distortion correction in terms of the complex calculating process of correcting distorted image and inaccurate corner of image

which brings universal significance and widespread practicability towards its counterparts.

关键词

Keywords

references

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