卫星视觉导航图像拼接方法研究

陈丽娟; 虞业泺; 刘晨龙; 陈烨海; 武子连; 卢小豹; 李亚卿

doi:10.11959/j.issn.1000-0801.2024249

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卫星视觉导航图像拼接方法研究

研究与开发 | 更新时间：2024-12-30

- 卫星视觉导航图像拼接方法研究
- Research on stitching method of satellite visual navigation image
- 电信科学 2024年40卷第12期页码：86-92
- 作者机构：
  
  1.中国科学院微小卫星创新研究院，上海 201304
  2.南阳市宛城鸭河口灌区事务中心，河南南阳 473004
- 作者简介：
  
  [ "陈丽娟（1974- ），女，中国科学院微小卫星创新研究院工程师，主要研究方向为航天器综合测试和技术、卫星数字仿真技术等。" ]
  [ "虞业泺（1989- ），男，博士，中国科学院微小卫星创新研究院高级工程师，主要研究方向为卫星领域相关的数字化仿真、体系化仿真、大数据、在轨运控、综合自动化测试、健康管理等。" ]
  [ "刘晨龙（1989- ），男，中国科学院微小卫星创新研究院高级工程师，主要研究方向为卫星综合测试、卫星产线数字化系统、卫星数字仿真技术等。" ]
  [ "陈烨海（1982- ），男，中国科学院微小卫星创新研究院副研究员，主要研究方向为卫星供配电、综合测试、测控等。" ]
  [ "武子连（1990- ），男，中国科学院微小卫星创新研究院工程师，主要研究方向为航天器测试、航天器地面综合测试设备等。" ]
  [ "卢小豹（1992- ），男，中国科学院微小卫星创新研究院工程师，主要研究方向为航天器综合测试及大批量航天器测试技术等。" ]
  [ "李亚卿（1972- ），男，南阳市宛城鸭河口灌区事务中心高级工程师，主要研究方向为水利地理信息系统（GIS）等。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024249
  中图分类号： TP751
- 收稿日期：2024-07-10，
  
  修回日期：2024-11-11，
  
  纸质出版日期：2024-12-20
- 稿件说明：
移动端阅览
陈丽娟,虞业泺,刘晨龙等.卫星视觉导航图像拼接方法研究[J].电信科学,2024,40(12):86-92.

CHEN Lijuan,YU Yeluo,LIU Chenlong,et al.Research on stitching method of satellite visual navigation image[J].Telecommunications Science,2024,40(12):86-92.
陈丽娟,虞业泺,刘晨龙等.卫星视觉导航图像拼接方法研究[J].电信科学,2024,40(12):86-92. DOI： 10.11959/j.issn.1000-0801.2024249.

CHEN Lijuan,YU Yeluo,LIU Chenlong,et al.Research on stitching method of satellite visual navigation image[J].Telecommunications Science,2024,40(12):86-92. DOI： 10.11959/j.issn.1000-0801.2024249.

摘要

在太空环境中，视传感器捕获图片颜色单一、纹理弱、特征点少，图像拼接难度大。构造Hessian矩阵以及尺度空间，通过非极大值抑制得到了匹配点，并使用Harris角点检测算法构建特征点描述子，采用RANSAC算法对匹配结果进行筛选，得到单应矩阵进而实现拼接。另外，在实验部分使用卫星图片比较了Harris角点检测算法与其他算法处理情况。结果表明，Harris角点检测算法图像拼接效果更好，可基于Harris角点检测算法利用星载处理单元有限算力，达到快速拼接卫星图像的目的。

Abstract

In the space environment

visual sensors capture images with single colors

weak textures

and few feature points

making image stitching difficult. The Hessian matrix and scale space were constructed to obtain matching points through non maximum suppression

using Harris corner detection algorithm to construct feature point descriptors. RANSAC algorithm was used to filter the matching results and obtain the homography matrix for concatenation. In addition

satellite images were used in the experimental section to compare the processing performance of Harris corner detection algorithm with other algorithms. The results show that the Harris corner detection algorithm has better image stitching performance

and can be used to quickly stitch satellite images using the limited computing power of onboard processing units based on the Harris corner detection algorithm.

关键词

Keywords

references

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