Integrated Object Detection and Communication for Synthetic Aperture Radar Images
In this article, an integrated object detection and communication (IODC) system based on single-stage detection framework is first proposed for synthetic aperture radar (SAR) images in underwater environment. Specifically, the combination of the multiscale feature extraction module and semantic info...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10748367/ |
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| _version_ | 1850220973443252224 |
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| author | Zhiping Xu Deyin Xu Lixiong Lin Linqi Song Dan Song Yanglong Sun Qiwang Chen |
| author_facet | Zhiping Xu Deyin Xu Lixiong Lin Linqi Song Dan Song Yanglong Sun Qiwang Chen |
| author_sort | Zhiping Xu |
| collection | DOAJ |
| description | In this article, an integrated object detection and communication (IODC) system based on single-stage detection framework is first proposed for synthetic aperture radar (SAR) images in underwater environment. Specifically, the combination of the multiscale feature extraction module and semantic information enhance fusion module for SAR images in underwater environment is designed as the semantic encoder and the results prediction module with anchor-free detection method is designed as the semantic decoder. Considering the multiscale feature, the channel encoder composed by a multiscale fusion module and a redundancy module is designed, and the channel decoder is the inverse of the channel encoder. To adapt to the time-varying and complex wireless environment, an adaptive transmission (AT) mechanism based on attention mechanism and knowledge base is proposed for the IODC system. Moreover, considering the actual application requirements, a lightweight design for the IODC system with the AT mechanism is also conducted. The experiment results on the Sonar Common Target Detection dataset show that the proposed IODC system with AT mechanism can achieve nearly 91% average precision at 25 dB, which means the proposed system can achieve the effective integration of the objection detection and communication for SAR images in underwater environment. In the lightweight design, the model parameters of the proposed system can be reduced by up to 20%, with only a 2.22% sacrifice in performance. |
| format | Article |
| id | doaj-art-c1b5622b8ecf4fddbcfed5e6934e8c8b |
| institution | OA Journals |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-c1b5622b8ecf4fddbcfed5e6934e8c8b2025-08-20T02:06:50ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-011829430710.1109/JSTARS.2024.349502310748367Integrated Object Detection and Communication for Synthetic Aperture Radar ImagesZhiping Xu0https://orcid.org/0000-0001-6837-4293Deyin Xu1https://orcid.org/0009-0009-2581-7803Lixiong Lin2https://orcid.org/0000-0002-9829-5358Linqi Song3https://orcid.org/0000-0003-2756-4984Dan Song4https://orcid.org/0000-0002-4096-3333Yanglong Sun5https://orcid.org/0000-0003-3668-6617Qiwang Chen6https://orcid.org/0000-0002-6562-8507School of Ocean Information Engineering, Jimei University, Xiamen, ChinaSchool of Ocean Information Engineering, Jimei University, Xiamen, ChinaSchool of Ocean Information Engineering, Jimei University, Xiamen, ChinaCity University of Hong Kong, Hong KongNavigation College, Jimei University, Xiamen, ChinaNavigation College, Jimei University, Xiamen, ChinaXiamen Key Laboratory of Mobile Multimedia Communications, College of Information Science and Engineering, Huaqiao University, Xiamen, ChinaIn this article, an integrated object detection and communication (IODC) system based on single-stage detection framework is first proposed for synthetic aperture radar (SAR) images in underwater environment. Specifically, the combination of the multiscale feature extraction module and semantic information enhance fusion module for SAR images in underwater environment is designed as the semantic encoder and the results prediction module with anchor-free detection method is designed as the semantic decoder. Considering the multiscale feature, the channel encoder composed by a multiscale fusion module and a redundancy module is designed, and the channel decoder is the inverse of the channel encoder. To adapt to the time-varying and complex wireless environment, an adaptive transmission (AT) mechanism based on attention mechanism and knowledge base is proposed for the IODC system. Moreover, considering the actual application requirements, a lightweight design for the IODC system with the AT mechanism is also conducted. The experiment results on the Sonar Common Target Detection dataset show that the proposed IODC system with AT mechanism can achieve nearly 91% average precision at 25 dB, which means the proposed system can achieve the effective integration of the objection detection and communication for SAR images in underwater environment. In the lightweight design, the model parameters of the proposed system can be reduced by up to 20%, with only a 2.22% sacrifice in performance.https://ieeexplore.ieee.org/document/10748367/Object detectionsemantic communicationsynthetic aperture radarunderwater environment |
| spellingShingle | Zhiping Xu Deyin Xu Lixiong Lin Linqi Song Dan Song Yanglong Sun Qiwang Chen Integrated Object Detection and Communication for Synthetic Aperture Radar Images IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Object detection semantic communication synthetic aperture radar underwater environment |
| title | Integrated Object Detection and Communication for Synthetic Aperture Radar Images |
| title_full | Integrated Object Detection and Communication for Synthetic Aperture Radar Images |
| title_fullStr | Integrated Object Detection and Communication for Synthetic Aperture Radar Images |
| title_full_unstemmed | Integrated Object Detection and Communication for Synthetic Aperture Radar Images |
| title_short | Integrated Object Detection and Communication for Synthetic Aperture Radar Images |
| title_sort | integrated object detection and communication for synthetic aperture radar images |
| topic | Object detection semantic communication synthetic aperture radar underwater environment |
| url | https://ieeexplore.ieee.org/document/10748367/ |
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