Scene Generation Method for Maritime Target Recognition Based on Detection Parameters

Authors

Yuxuan Run, National Key Laboratory of Reliability and Environmental Engineering, Beijing 100191, China; School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
Dezhen Yang, National Key Laboratory of Reliability and Environmental Engineering, Beijing 100191, China; School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
Yeyang Liu, National Key Laboratory of Reliability and Environmental Engineering, Beijing 100191, China; School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
Wei Deng, Chengdu Institute of Aircraft Design, Aviation Industry Corporation of China, Chengdu 610000, China
Xiangyu Xing, Chengdu Institute of Aircraft Design, Aviation Industry Corporation of China, Chengdu 610000, China
Yi Ren, National Key Laboratory of Reliability and Environmental Engineering, Beijing 100191, China; School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China

Abstract

Abstract: Traditional scene generation methods for maritime target recognition consider only the effects of different environments on the generated scene data, while overlooking the changes in scene information caused by sensor detection parameters, resulting in a lack of accuracy and authenticity in generated scenes. To address this issue, a detection parameter-based scene generation method for maritime target recognition was proposed. For the task of maritime target recognition, key detection parameters affecting scene generation quality and essential scene features were analyzed. An association relationship modeling method based on Bayesian networks was proposed to construct a mapping relationship model between scene features and detection parameters. The key scene features affecting detection parameter elements were revealed through sensitivity analysis. Furthermore, a scene generation method based on DeepFillv2 and Poisson blending was proposed, which, combined with the obtained key scene features, realized scene augmentation under different detection parameters. Simulation experiments have verified the effectiveness of the proposed method.

Recommended Citation

Run, Yuxuan; Yang, Dezhen; Liu, Yeyang; Deng, Wei; Xing, Xiangyu; and Ren, Yi (2025) "Scene Generation Method for Maritime Target Recognition Based on Detection Parameters," Journal of System Simulation: Vol. 37: Iss. 8, Article 5.
DOI: 10.16182/j.issn1004731x.joss.25-0373
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss8/5

First Page

1951

Last Page

1964

CLC

TN911.73；TP398.1

Recommended Citation

Run Yuxuan, Yang Dezhen, Liu Yeyang, et al. Scene Generation Method for Maritime Target Recognition Based on Detection Parameters[J]. Journal of System Simulation, 2025, 37(8): 1951-1964.

Corresponding Author

Liu Yeyang

DOI

10.16182/j.issn1004731x.joss.25-0373