Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion
For the demand for long-range and high-resolution target reconstruction of slow-moving small underwater targets, research on single-photon lidar target reconstruction technology is being carried out. This paper reports the sequential multimodal underwater single-photon lidar adaptive target reconstr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/295 |
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| author | Tian Rong Yuhang Wang Qiguang Zhu Chenxu Wang Yanchao Zhang Jianfeng Li Zhiquan Zhou Qinghua Luo |
| author_facet | Tian Rong Yuhang Wang Qiguang Zhu Chenxu Wang Yanchao Zhang Jianfeng Li Zhiquan Zhou Qinghua Luo |
| author_sort | Tian Rong |
| collection | DOAJ |
| description | For the demand for long-range and high-resolution target reconstruction of slow-moving small underwater targets, research on single-photon lidar target reconstruction technology is being carried out. This paper reports the sequential multimodal underwater single-photon lidar adaptive target reconstruction algorithm based on spatiotemporal sequence fusion, which has strong information extraction and noise filtering ability and can reconstruct the target depth and reflective intensity information from complex echo photon time counts and spatial pixel relationships. The method consists of three steps: data preprocessing, sequence-optimized extreme value inference filtering, and collaborative variation strategy for image optimization to achieve high-quality target reconstruction in complex underwater environments. Simulation and test results show that the target reconstruction method outperforms the current imaging algorithms, and the built single-photon lidar system achieves underwater lateral and distance resolution of 5 mm and 2.5cm@6AL, respectively. This indicates that the method has a great advantage in sparse photon counting imaging and possesses the capability of underwater target imaging under the background of strong light noise. It also provides a good solution for underwater target imaging of small slow-moving targets with long-distance and high-resolution. |
| format | Article |
| id | doaj-art-3180bdd0d104462bb2e99a6a38a96f61 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-3180bdd0d104462bb2e99a6a38a96f612025-01-24T13:48:02ZengMDPI AGRemote Sensing2072-42922025-01-0117229510.3390/rs17020295Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence FusionTian Rong0Yuhang Wang1Qiguang Zhu2Chenxu Wang3Yanchao Zhang4Jianfeng Li5Zhiquan Zhou6Qinghua Luo7Aerospace College, Harbin Institute of Technology, Harbin 150001, ChinaCollege of Information Science and Engineering, Yanshan University, Qinhuangdao 066000, ChinaCollege of Information Science and Engineering, Yanshan University, Qinhuangdao 066000, ChinaAerospace College, Harbin Institute of Technology, Harbin 150001, ChinaCollege of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai 264209, ChinaCollege of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai 264209, ChinaCollege of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai 264209, ChinaCollege of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai 264209, ChinaFor the demand for long-range and high-resolution target reconstruction of slow-moving small underwater targets, research on single-photon lidar target reconstruction technology is being carried out. This paper reports the sequential multimodal underwater single-photon lidar adaptive target reconstruction algorithm based on spatiotemporal sequence fusion, which has strong information extraction and noise filtering ability and can reconstruct the target depth and reflective intensity information from complex echo photon time counts and spatial pixel relationships. The method consists of three steps: data preprocessing, sequence-optimized extreme value inference filtering, and collaborative variation strategy for image optimization to achieve high-quality target reconstruction in complex underwater environments. Simulation and test results show that the target reconstruction method outperforms the current imaging algorithms, and the built single-photon lidar system achieves underwater lateral and distance resolution of 5 mm and 2.5cm@6AL, respectively. This indicates that the method has a great advantage in sparse photon counting imaging and possesses the capability of underwater target imaging under the background of strong light noise. It also provides a good solution for underwater target imaging of small slow-moving targets with long-distance and high-resolution.https://www.mdpi.com/2072-4292/17/2/295oceanoptical detectionslow-moving small targetssingle-photon lidartarget reconstruction |
| spellingShingle | Tian Rong Yuhang Wang Qiguang Zhu Chenxu Wang Yanchao Zhang Jianfeng Li Zhiquan Zhou Qinghua Luo Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion Remote Sensing ocean optical detection slow-moving small targets single-photon lidar target reconstruction |
| title | Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion |
| title_full | Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion |
| title_fullStr | Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion |
| title_full_unstemmed | Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion |
| title_short | Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion |
| title_sort | sequential multimodal underwater single photon lidar adaptive target reconstruction algorithm based on spatiotemporal sequence fusion |
| topic | ocean optical detection slow-moving small targets single-photon lidar target reconstruction |
| url | https://www.mdpi.com/2072-4292/17/2/295 |
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