Asteroid Recognition of Dim Targets Based on Image Registration

ZHENG Yuyun1,2, HUANG Xiangyu1,2, MAO Xiaoyan1,2

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Journal of Deep Space Exploration ›› 2023, Vol. 10 ›› Issue (4) : 397-404. DOI: 10.15982/j.issn.2096-9287.2023.20230093
Special Issue:Monitoring of and Desense Against Near-Earth Asteroids
Special Issue:Monitoring of and Desense Against Near-Earth Asteroids

Asteroid Recognition of Dim Targets Based on Image Registration

  • ZHENG Yuyun1,2, HUANG Xiangyu1,2, MAO Xiaoyan1,2
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Abstract

In order to meet the autonomous navigation requirements of asteroid approaching impact mission,a method of dim target asteroid recognition based on image registration was proposed. Due to the small size and weak brightness (usually above 10 magnitude) of asteroids, navigation sensors were required to have the ability to image dim targets. This caused the navigation sensor to simultaneously capture a large number of unknown dim stars,posing a challenge to the accurate identification of the target asteroid. The paper utilized the relative motion of asteroids and background stars. Firstly,a combination of ORB feature point localization and BEBLID feature point description was used to register inter-frame images. Secondly,star points were identified based on threshold segmentation,and the structural similarity index between corresponding windows was calculated for each star point. Finally,the detection of dim target asteroids was completed. Compared with the traditional image registration method and target asteroid detection methods,this method has improved speed and accuracy,has overcome the problems of dim target asteroid and unknown background stars,and provides such information as sight vector for optical autonomous navigation of asteroid defense.

Keywords

asteroid defense / image registration / ORB / BEBLID / structural similarity

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ZHENG Yuyun, HUANG Xiangyu, MAO Xiaoyan. Asteroid Recognition of Dim Targets Based on Image Registration. Journal of Deep Space Exploration, 2023, 10(4): 397‒404 https://doi.org/10.15982/j.issn.2096-9287.2023.20230093

References

[1] 赵君亮. 天体尺度上的重大灾变事件——太阳系演化的插曲[J]. 自然杂志,2010,32(2):72-76.ZHAO J L. Major catastrophic events on the celestial scale:an interlude in the evolution of the solar system[J]. Chinese Journal of Nature,2010,32(2):72-76.
[2] RIVKIN A S,CHABOT N L,STICKLE A M,et al. The Double Asteroid Redirection Test (DART):planetary defense investigations and requirements[J]. The Planetary Science Journal,2021,2(5):173-196.
[3] TALMI I,MECHREZ R,ZELNIK-MANOR L. Template matching with deformable diversity similarity[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).[S. l.]:IEEE,2017.
[4] REN S,HE K,GIRSHICK R,et al. Faster R-CNN:towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(6):1137- 1149.
[5] REDMON J,FARHADI A. Yolov3:an incremental improvement[EB/OL].(2018)[2023-6-19].https://arxiv.org/abs/1804.02767.
[6] FAN Q Y,ZHONG X Y. A triangle voting algorithm based on double feature constraints for star sensors[J]. Advances in Space Research,2018,61(4):1132-1142.
[7] 王军,何昕,魏仲慧,等. 基于多特征匹配的快速星图识别[J]. 光学精密工程,2019,27(8):1870-1879.WANG J,HE X,WEI Z H,et al. Fast star map recognition based on multiple feature matching[J]. Optics and Precision Engineering,2019,27(8):1870-1879.
[8] HENDERSON M M,BLUME M W. Deep Impact-a review of the world's pioneering hypervelocity impact mission[J]. Procedia Engineering,2015,103:165-172.
[9] JACKMAN C D,NELSON D S,OWEN W M,et al. New Horizons optical navigation on approach to Pluto[J]. Advances in the Astronautical Sciences Guidance,Navigation and Control,2016,157:16-83.
[10] SILVESTRINI S,PICCININ M,CAPANNOLO A,et al. Centralized autonomous relative navigation of multiple cubesats around didymos system[J]. The Journal of the Astronautical Sciences,2021,68(3):750-784.
[11] GOOD P G,FAIKS P,PISANO W J. Terminal Tracking for the Lucy trojan asteroid mission[C]//Proceedings of 44th Annual AAS Guidance,Navigation and Control Conference.[S. l.]:AAS,2022.
[12] RUBLEE E,RABAUD V,KONOLIGE K,et al. ORB:an efficient alternative to SIFT or SURF[C]//Proceedings of 2011 International Conference on Computer Vision.[S. l.]:IEEE,2011:2564-2571.
[13] BAY H,TUYTELAARS T,VAN GOOL L. Surf:speeded up robust features[C]//Proceedings of European Conference on Computer Vision. Berlin:Springer,2006:404-417.
[14] ROSTEN E,PORTER R,DRUMMOND T. Faster and better:a machine learning approach to corner detection[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence,2010,32:105-119.
[15] SUÁREZ I,SFEIR G,BUENAPOSADA J M,et al. BEBLID:boosted efficient binary local image descriptor[J]. Pattern Recognition Letters,2020,133:366-372.
[16] SUÁREZ I,SFEIR G,BUENAPOSADA J M,et al. BELID:boosted efficient local image descriptor[C]//Proceedings of Iberian Conference on Pattern Recognition and Image Analysis. Berlin:Springer International Publishing,2021.
[17] 阮芹,彭刚,李瑞. 基于特征点的图像配准与拼接技术研究[J]. 计算机与数字工程,2011,39(2):141-144,183.RUAN Q,PENG G,LI R. Research on image registration and mosaic technology based on feature points[J]. Computer and Digital Engineering,2011,39(2):141-144,183.
[18] SUZUKI S. Topological structural analysis of digitized binary images by border following[J]. Computer Vision,Graphics,and Image Processing,1985,30(1):32-46.
[19] WANG Z,BOVIK A C,SHEIKH H R,et al. Image quality assessment:from error visibility to structural similarity[J]. IEEE Transactions on Image Processing,2004,13(4):600-612.
[20] ALCANTARILLA P F,SOLUTIONS T. Fast explicit diffusion for accelerated features in nonlinear scale spaces[J]. I EEE Trans actions on Pattern Analysis and Machine Intelligence,2011,34(7):1281-1298.
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