计算机科学 ›› 2011, Vol. 38 ›› Issue (12): 269-273.

• 图形图像 • 上一篇    下一篇

基于序列图像的月球着陆定位计算方法研究

徐焕宇,刘信鑫,孙巍巍,罗楠,朱近   

  1. (南京理工大学计算机科学与技术学院 南京210094)
  • 出版日期:2018-12-01 发布日期:2018-12-01

Image Sequence Based Lunar Landing Locating Algorithm

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对月球着陆器计算机视觉着陆点定位系统的需求,提出了一种基于图像序列的月球着陆器着陆点定位计算方法。该方法以SURF(Speeded Up Robust Features)图像特征点提取算法为基础,通过最小二乘法迭代逐步消除误匹配点对,最后计算得到着陆器着陆时所拍摄的图像在有经纬度坐标的月面图像中的位置,并对着陆点误差进行分析以达到精确定位着陆点的目的。仿真实验使用两种月面仿真图像序列,结果表明该方法匹配准确度和稳定性较高,可以达到工程应用要求。

关键词: 图像配准,SURF,着陆定位,月面数据

Abstract: According to the requirements of the computer vision landing locating system on a Lunar lander, this paper proposed an algorithm to obtain the landing position of the Lunar lander using image sequence registration. This algorithm is based on SURF(Speeded Up Robust Features) , and uses least squares to iteratively remove the mismatch point pair,finally gets the range of a image taken when just landed in a wide range Lunar image with latitude and longitude information to obtain the exact landing position, moreover, analyzes the error of the landing position. The experiment uses 2 kinds of simulated Lunar image sequence. hhe numerical results show that it achieves high registration accuracy and stability, and is qualified for engineering application.

Key words: Image registration, SURF, Landing locating, Lunar image

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!