App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 8

Polarization imaging camouflage target detection based on focused attention receptive field network

Xu Guoming1,2,3
Chen Qizhi1
Liu Qi1,2
Ma Jian1,2
Wang Feng3
1. School of Internet, Anhui University, Hefei 230039, China
2. National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
3. Anhui Province Key Laboratory of Polarized Imaging Detecting Technology, Hefei 230031, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0574

Abstract

Aiming at the problems of poor image recognition robustness and poor model generalization in camouflaged object segmentation, inspired by the receptive field structure of the human visual system in neuroscience, this paper propose a polarization imaging camouflage target detection method based on the receptive field network of focused attention. According to the polarization imaging target detection needs, we constructe the polarization imaging dataset that can effectively contain the background noise as well as obtain the detailed features of the target. The method in this paper bases on the recognition and localization network framework, which can effectively improve the discriminability and robustness of camouflaged target features by improving the feature extraction module and the decoder module, which exploits the relationship between the eccentricity and the size of the receptive field to cover multi-scale target information. The experimental validation carries out using a self-constructed dataset on multiple typical targets and comparing the subjective visual and objective evaluation metrics of the segmentation results with classical algorithms, and the results of the ablation experiments validate the effectiveness of the present segmentation method.

Foundation Support

国家自然科学基金资助项目(61906118,62273001)
安徽省重大专项(202003A06020016)
安徽省自然科学基金资助项目(1908085MF208,2108085MF230)
陆军装备部十三五预研子课题
安徽省高校自然科学研究重点项目(KJ2019A0906)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0574
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 8

Publish History

[2024-01-31] Accepted Paper

Cite This Article

徐国明, 陈奇志, 刘綦, 等. 基于集中注意力接受场网络的偏振成像伪装目标检测 [J]. 计算机应用研究, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0574. (Xu Guoming, Chen Qizhi, Liu Qi, et al. Polarization imaging camouflage target detection based on focused attention receptive field network [J]. Application Research of Computers, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0574. )

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  • Application Research of Computers Monthly Journal
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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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