Research on stitching method of satellite visual navigation image

CHEN Lijuan; YU Yeluo; LIU Chenlong; CHEN Yehai; WU Zilian; LU Xiaobao; LI Yaqing

doi:10.11959/j.issn.1000-0801.2024249

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Research on stitching method of satellite visual navigation image

Research and Development | 更新时间：2024-12-30

- Research on stitching method of satellite visual navigation image
- Telecommunications Science Vol. 40, Issue 12, Pages: 86-92(2024)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024249
  CLC： TP751
- Received：10 July 2024，
  
  Revised：11 November 2024，
  
  Published：20 December 2024
- 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.

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references

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