基于序列图像的月球着陆定位计算方法研究  

Image Sequence Based Lunar Landing Locating Algorithm

作　　者：徐焕宇[1] 刘佶鑫[1] 孙巍巍[1] 罗楠[1] 朱近[1] 

机构地区：[1]南京理工大学计算机科学与技术学院,南京210094

出　　处：《计算机科学》2011年第12期269-273,共5页Computer Science

基　　金：国家自然科学基金(61003108);教育部博士学科点基金(200802880017)资助

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。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 algo- rithm 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 in- formation to obtain the exact landing position, moreover, analyzes the error of the landing position. The experiment uses 2 kinds of simulated Lunar image sequence. The numerical results show that it achieves high registration accuracy and stability, and is qualified for engineering application.

关 键 词：图像配准 SURF 着陆定位 月面数据 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]