A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments
A measurement system for the scattering characteristics of warhead fragments based on high-speed imaging systems offers advantages such as simple deployment, flexible maneuverability, and high spatiotemporal resolution, enabling the acquisition of full-process data of the fragment scattering process...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-01-01
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| Series: | Defence Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914724001922 |
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| _version_ | 1832590977613692928 |
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| author | Guoyi Zhang Hongxiang Zhang Zhihua Shen Deren Kong Chenhao Ning Fei Shang Xiaohu Zhang |
| author_facet | Guoyi Zhang Hongxiang Zhang Zhihua Shen Deren Kong Chenhao Ning Fei Shang Xiaohu Zhang |
| author_sort | Guoyi Zhang |
| collection | DOAJ |
| description | A measurement system for the scattering characteristics of warhead fragments based on high-speed imaging systems offers advantages such as simple deployment, flexible maneuverability, and high spatiotemporal resolution, enabling the acquisition of full-process data of the fragment scattering process. However, mismatches between camera frame rates and target velocities can lead to long motion blur tails of high-speed fragment targets, resulting in low signal-to-noise ratios and rendering conventional detection algorithms ineffective in dynamic strong interference testing environments. In this study, we propose a detection framework centered on dynamic strong interference disturbance signal separation and suppression. We introduce a mixture Gaussian model constrained under a joint spatial-temporal-transform domain Dirichlet process, combined with total variation regularization to achieve disturbance signal suppression. Experimental results demonstrate that the proposed disturbance suppression method can be integrated with certain conventional motion target detection tasks, enabling adaptation to real-world data to a certain extent. Moreover, we provide a specific implementation of this process, which achieves a detection rate close to 100% with an approximate 0% false alarm rate in multiple sets of real target field test data. This research effectively advances the development of the field of damage parameter testing. |
| format | Article |
| id | doaj-art-b3e4d94ff86a4da79e1a227ad18487f7 |
| institution | Kabale University |
| issn | 2214-9147 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Defence Technology |
| spelling | doaj-art-b3e4d94ff86a4da79e1a227ad18487f72025-01-23T05:26:48ZengKeAi Communications Co., Ltd.Defence Technology2214-91472025-01-0143252270A novel detection method for warhead fragment targets in optical images under dynamic strong interference environmentsGuoyi Zhang0Hongxiang Zhang1Zhihua Shen2Deren Kong3Chenhao Ning4Fei Shang5Xiaohu Zhang6Sun Yat-Sen University, Guangzhou 510275, ChinaSun Yat-Sen University, Guangzhou 510275, ChinaSun Yat-Sen University, Guangzhou 510275, ChinaNanjing University of Science and Technology, Nanjing 210094, ChinaSun Yat-Sen University, Guangzhou 510275, ChinaNanjing University of Science and Technology, Nanjing 210094, ChinaSun Yat-Sen University, Guangzhou 510275, China; Corresponding author.A measurement system for the scattering characteristics of warhead fragments based on high-speed imaging systems offers advantages such as simple deployment, flexible maneuverability, and high spatiotemporal resolution, enabling the acquisition of full-process data of the fragment scattering process. However, mismatches between camera frame rates and target velocities can lead to long motion blur tails of high-speed fragment targets, resulting in low signal-to-noise ratios and rendering conventional detection algorithms ineffective in dynamic strong interference testing environments. In this study, we propose a detection framework centered on dynamic strong interference disturbance signal separation and suppression. We introduce a mixture Gaussian model constrained under a joint spatial-temporal-transform domain Dirichlet process, combined with total variation regularization to achieve disturbance signal suppression. Experimental results demonstrate that the proposed disturbance suppression method can be integrated with certain conventional motion target detection tasks, enabling adaptation to real-world data to a certain extent. Moreover, we provide a specific implementation of this process, which achieves a detection rate close to 100% with an approximate 0% false alarm rate in multiple sets of real target field test data. This research effectively advances the development of the field of damage parameter testing.http://www.sciencedirect.com/science/article/pii/S2214914724001922Damage parameter testingWarhead fragment target detectionHigh-speed imaging systemsDynamic strong interference disturbance suppressionVariational bayesian inferenceMotion target detection |
| spellingShingle | Guoyi Zhang Hongxiang Zhang Zhihua Shen Deren Kong Chenhao Ning Fei Shang Xiaohu Zhang A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments Defence Technology Damage parameter testing Warhead fragment target detection High-speed imaging systems Dynamic strong interference disturbance suppression Variational bayesian inference Motion target detection |
| title | A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments |
| title_full | A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments |
| title_fullStr | A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments |
| title_full_unstemmed | A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments |
| title_short | A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments |
| title_sort | novel detection method for warhead fragment targets in optical images under dynamic strong interference environments |
| topic | Damage parameter testing Warhead fragment target detection High-speed imaging systems Dynamic strong interference disturbance suppression Variational bayesian inference Motion target detection |
| url | http://www.sciencedirect.com/science/article/pii/S2214914724001922 |
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