利用卷帘快门面阵CMOS自相关成像的空间相机振动参数检测

刘海龙; 李祥之; 薛旭成; 韩诚山; 胡长虹; 孙雪晨

doi:10.3788/OPE.20162406.1474

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利用卷帘快门面阵CMOS自相关成像的空间相机振动参数检测

信息科学 | 更新时间：2020-08-13

- 利用卷帘快门面阵CMOS自相关成像的空间相机振动参数检测
- Vibration parameter detection of space camera by taking advantage of CMOS self-correlation Imaging of plane array of roller shutter
- 光学精密工程 2016年24卷第6期页码：1474-1481
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（No.61036015）();吉林省青年基金资助项目（No.20150520059jh）()
- DOI：10.3788/OPE.20162406.1474
  中图分类号： V445.8
- 收稿日期：2015-11-03，
  
  修回日期：2016-01-12，
  
  网络出版日期：2016-03-30，
  
  纸质出版日期：2016-06-25
- 稿件说明：
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刘海龙, 李祥之, 薛旭成等. 利用卷帘快门面阵CMOS自相关成像的空间相机振动参数检测[J]. 光学精密工程, 2016,24(6): 1474-1481

LIU Hai-long, LI Xiang-zhi, XUE Xu-cheng etc. Vibration parameter detection of space camera by taking advantage of CMOS self-correlation Imaging of plane array of roller shutter[J]. Editorial Office of Optics and Precision Engineering, 2016,24(6): 1474-1481
刘海龙, 李祥之, 薛旭成等. 利用卷帘快门面阵CMOS自相关成像的空间相机振动参数检测[J]. 光学精密工程, 2016,24(6): 1474-1481 DOI： 10.3788/OPE.20162406.1474.

LIU Hai-long, LI Xiang-zhi, XUE Xu-cheng etc. Vibration parameter detection of space camera by taking advantage of CMOS self-correlation Imaging of plane array of roller shutter[J]. Editorial Office of Optics and Precision Engineering, 2016,24(6): 1474-1481 DOI： 10.3788/OPE.20162406.1474.

摘要

为了获取空间相机在轨摄像期间的振动幅频特性，提出了一种基于卷帘快门面阵CMOS自相关成像的空间相机振动参数检测方法。基于卷帘式快门CMOS成像原理，对同一景物连续拍摄，得到一组具有相关性的图像序列，通过灰度投影算法对所成图像进行比对求取相对偏移量，拟合偏移量数据，进而根据拟合结果计算出空间相机的振动参数。验证实验显示，二维振动的周期检测相对误差不超过2%，振幅检测绝对误差不超过1 pixel。实验结果表明，该方法能够利用低帧频图像序列检测高频振动，大幅度降低了检测算法的数据传输及处理压力，为检测算法的星上嵌入式实现提供了可能，在推扫相机和凝视相机上均有较好的应用。

Abstract

To obtain the amplitude-frequency feature of vibration of space camera during the camera shooting of rail

a kind of vibration parameter detection method of space camera based on CMOS self-correlation imaging of plane array of roller shutter was proposed. Based on CMOS imaging principle of roller shutter

for the continuous shooting of same photographic field

a group of image sequences with correlation were obtained. The images formed were compared through gray projection algorithm to calculate relative shift. The shift data was fitted

so that the vibration parameters of space camera were calculated according to fitting results. The confirmatory experiment shows that the relative error of cycle detection of two-dimensional vibration is no more than 2%

and the absolute error of amplitude detection is no more than 1 pixel. The experimental results indicate that this method may detect high-frequency vibration by taking advantage of low frame-frequency image sequence

so the data transmission and processing pressure of detection algorithm are produced by a large margin; It provides the possibility to realization of star embedded type of detection algorithm

and has good application to push-broom camera and staring camera.

关键词

Keywords

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