TY - JOUR
T1 - Noncooperative Target Detection of Spacecraft Objects Based on Artificial Bee Colony Algorithm
AU - Liu, Xinyu
AU - Li, Donghui
AU - Dong, Na
AU - Ip, Wai Hung
AU - Yung, Kai Leung
N1 - Funding Information:
This work is supported in part by the National Natural Science Foundation of China under Grant no. 61773282 and also in part by the Department of Industrial and Systems Engineering of the Hong Kong Polytechnic University (H-ZG3K).
Publisher Copyright:
© 2001-2011 IEEE.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Although heuristic algorithms have achieved the state-of-the-art performance for object detection, they have not been demonstrated to be sufficiently accurate and robust for multiobject detection. To address this problem, this article incorporates the concept of species into the artificial bee colony algorithm and proposes a multipeak optimization algorithm named species-based artificial bee colony (SABC). Then, we apply SABC to detect the noncooperative target (NCT) from two aspects: Multicircle detection and multitemplate matching. Experiments are conducted using real cases of ShenZhou8 and Apollo 9 space missions as well as the Chang'e camera point system developed by the Hong Kong Polytechnic University. Experimental results show that the proposed method is robust to detect NCT under various kinds of noise, weak light, and in-orbit and leads to accurate detection results with less time than other methods.
AB - Although heuristic algorithms have achieved the state-of-the-art performance for object detection, they have not been demonstrated to be sufficiently accurate and robust for multiobject detection. To address this problem, this article incorporates the concept of species into the artificial bee colony algorithm and proposes a multipeak optimization algorithm named species-based artificial bee colony (SABC). Then, we apply SABC to detect the noncooperative target (NCT) from two aspects: Multicircle detection and multitemplate matching. Experiments are conducted using real cases of ShenZhou8 and Apollo 9 space missions as well as the Chang'e camera point system developed by the Hong Kong Polytechnic University. Experimental results show that the proposed method is robust to detect NCT under various kinds of noise, weak light, and in-orbit and leads to accurate detection results with less time than other methods.
UR - http://www.scopus.com/inward/record.url?scp=85070375186&partnerID=8YFLogxK
U2 - 10.1109/MIS.2019.2929501
DO - 10.1109/MIS.2019.2929501
M3 - Journal article
AN - SCOPUS:85070375186
SN - 1541-1672
VL - 34
SP - 3
EP - 15
JO - IEEE Intelligent Systems
JF - IEEE Intelligent Systems
IS - 4
M1 - 8778767
ER -