Technology of Graphic & Image
|
265-269

SAR ship object detection method incorporating attention mechanism and improved SSD algorithm

Xue Yuanliang
Jin Guodong
Hou Xiaohan
Tan Lining
Xu Jiankun
College of Nuclear Engineering, Rocket Force University of Engineering, Xi'an 710025, China

Abstract

This paper proposed a object detection method based on a fused attention mechanism with an improved single shot multibox detector(SSD) algorithm for the detection of synthetic aperture radar(SAR) image ship targets in complex backgrounds by SSD original algorithm that was prone to false detection or missed detection. Firstly, this method introduced the ResNet and improved SSD algorithm to provide rich semantic and detailed information to improve the robustness. Secondly, the fusion of channel and spatial attention enhanced the recognition ability of ship targets and suppressed the interference information such as sea clutter. Meanwhile, it improved the loss function to solve the problem of missed detection when the ships were densely distributed and improve the network training effect. Experiments on the dataset show that the mean average precision(mAP) of the method is 87.6%, which is 4.2 percentage points higher than that of the SSD algorithm, and the missed and false detections of targets are significantly reduced. Compared with the SSD algorithm, this method has better discrimination ability and robustness for ship targets in complex backgrounds, and improves the anti-interference ability.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.05.0174
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Technology of Graphic & Image
Pages: 265-269
Serial Number: 1001-3695(2022)01-047-0265-05

Publish History

[2022-01-05] Printed Article

Cite This Article

薛远亮, 金国栋, 侯笑晗, 等. 融合注意力机制与改进SSD算法的SAR舰船目标检测方法 [J]. 计算机应用研究, 2022, 39 (1): 265-269. (Xue Yuanliang, Jin Guodong, Hou Xiaohan, et al. SAR ship object detection method incorporating attention mechanism and improved SSD algorithm [J]. Application Research of Computers, 2022, 39 (1): 265-269. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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