Satellite Pose Measurement Using an Improving SIFT Algorithm

doi:10.1117/12.3021301

	Satellite Pose Measurement Using an Improving SIFT Algorithm
	Zhang, Renhao 1,2; Zhou, Zuofeng1,3
	2024
会议名称	4th International Conference on Computer Vision and Data Mining, ICCVDM 2023
会议录名称	Fourth International Conference on Computer Vision and Data Mining, ICCVDM 2023
卷号	13063
会议日期	2023-10-20
会议地点	Changchun, China
出版者	SPIE
产权排序	1
摘要	Due to the strong reflective properties of the spacecraft surface coatings, there are significant challenges in processing images from outer space. Furthermore, the volume of data for image feature processing and matching is immense, and existing algorithms are insufficient for aerospace system applications. Therefore, this paper proposes a three-dimensional pose measurement algorithm based on binocular vision. The binocular vision-based three-dimensional pose measurement system consists of four main components: camera calibration, camera rectification, stereo matching, and pose determination. Traditional image processing algorithms are employed for satellite image processing. Camera calibration is performed using M software, and the calibration results are further optimized. Due to real-time requirements, an improved SIFT algorithm is used to detect local features in the images, extract feature points, and perform feature point matching under epipolar constraints. Experimental results demonstrate that this algorithm can achieve accurate and fast three-dimensional pose measurement. © 2024 SPIE.
关键词	Binocular Vision Stereo Matching Pose Measurement
作者部门	飞行器光学成像与测量技术研究室
DOI	10.1117/12.3021301
收录类别	EI
ISBN号	9781510674448
语种	英语
ISSN号	0277786X;1996756X
EI入藏号	20241115744309
引用统计
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/97273
专题	飞行器光学成像与测量技术研究室
作者单位	1.Xi'an Institute of Optics and Precision Mechanics of UCAS, Chinese Academy of Sciences, Shaanxi, Xi'an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China; 3.Xi’an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology, Shaanxi, Xi'an; 710119, China
推荐引用方式 GB/T 7714	Zhang, Renhao,Zhou, Zuofeng. Satellite Pose Measurement Using an Improving SIFT Algorithm[C]:SPIE,2024.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Satellite Pose Measu（392KB）	会议论文		限制开放	CC BY-NC-SA	请求全文