Ground Target Recognition and Damage Assessment of Patrol Missiles Based on Multi-source Information Fusion

Authors

Yibo Xu, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaFollow
Qinghua Yu, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaFollow
Yanjuan Wang, Beijing Aerospace Control Center, Beijing 100094, China
Ce Guo, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Shiru Feng, Shenzhen TFC Technology co. , Ltd, Shenzhen 518000, China
Huimin Lu, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China

Abstract

Abstract: For the multiple patrol missiles to attack the high defense capacity targets, a mobile ground target detection and damage assessment method based on multi-source information fusion is proposed. The multi-source information fusion of infrared images and RGB images is carried out by using IoU determination. A novel two-stage tightly coupled damage assessment method based on YOLO-VGGNet of patrol missiles to mobile ground targets is proposed. This method can fully use the advantage of deep semantic information extraction of CNNs and introduce the infrared damaging information simultaneously to achieve the online and real-time damage assessment of mobile ground targets. The results of simulation experiments show that the target recognition algorithm based on multi-source information fusion significantly improves the detection of mobile ground targets of patrol missiles. Compared with the traditional image-change-detection-based method and the two-CNN learning-based method, the real-time and online damage level assessment method based on YOLO VGGNet improves the accuracy by 19% and 10.3%, respectively.

Recommended Citation

Xu, Yibo; Yu, Qinghua; Wang, Yanjuan; Guo, Ce; Feng, Shiru; and Lu, Huimin (2024) "Ground Target Recognition and Damage Assessment of Patrol Missiles Based on Multi-source Information Fusion," Journal of System Simulation: Vol. 36: Iss. 2, Article 19.
DOI: 10.16182/j.issn1004731x.joss.22-1130
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss2/19

First Page

511

Last Page

521

CLC

TP242.6

Recommended Citation

Xu Yibo, Yu Qinghua, Wang Yanjuan, et al. Ground Target Recognition and Damage Assessment of Patrol Missiles Based on Multi-source Information Fusion[J]. Journal of System Simulation, 2024, 36(2): 511-521.

Corresponding Author

Yu Qinghua

DOI

10.16182/j.issn1004731x.joss.22-1130