深空探测学报（中英文）2025，Vol.12Issue(5)：542-556,15.DOI:10.3724/j.issn.2096-9287.2025.20250007
一种海量无序小行星遥感影像匹配对快速确定方法
A Rapid Method for Matching Pair Determination from Disordered and Massive Asteroid Images
摘要
Abstract
This paper proposed an efficient method of image overlapping relationship analysis based on spatial index of KD tree fast search for disordered and large-scale asteroid images.In this study,the image data from asteroid exploration missions such as Bennu,Vesta,and Ryugu were used for experiments,and the proposed image matching pairs determination algorithm was comprehensively compared with the corresponding modules of USGS ISIS in order to evaluate its performance in terms of efficiency and accuracy.The results show that when processing more than a thousand images,the proposed method greatly improves the efficiency of acquiring image matching pairs while ensuring the correctness of image overlapping relationships and accuracy of bundle adjustment.At the same time,according to the obtained image matching pairs,images that meet the requirements of Stereo Photoclinometry can be quickly selected,effectively improving the quality of 3D reconstruction models of asteroid images.关键词
小行星探测/摄影测量/影像匹配/KD树/影像匹配对Key words
asteroid exploration/photogrammetry/image matching/KD tree/image matching pairs分类
天文与地球科学引用本文复制引用
张九江,耿迅,于君明,刘杰,刘朋英,彭真,马鑫..一种海量无序小行星遥感影像匹配对快速确定方法[J].深空探测学报（中英文）,2025,12(5):542-556,15.基金项目
Space Optoelectronic Measurement and Perception Lab(LabSOMP-2023-07) （LabSOMP-2023-07）
the National Natural Science Foundation of China(42241147) （42241147）
the State Key Laboratory of Geo-Information Engineering(SKLGIE2021-Z-3-1) （SKLGIE2021-Z-3-1）
and the Open Program of Collaborative innovation Center of Geo-information(2023C002) （2023C002）
