A Fast Maritime Target Identification Algorithm for Offshore Ship Detection
The early warning monitoring capability of a ship detection algorithm is significant for jurisdictional territorial waters and plays a key role in safeguarding the national maritime strategic rights and interests. In this paper, a Fast Maritime Target Identification algorithm, FMTI, is proposed to i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/4938 |
| _version_ | 1797501821187522560 |
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| author | Jinshan Wu Jiawen Li Ronghui Li Xing Xi Dongxu Gui Jianchuan Yin |
| author_facet | Jinshan Wu Jiawen Li Ronghui Li Xing Xi Dongxu Gui Jianchuan Yin |
| author_sort | Jinshan Wu |
| collection | DOAJ |
| description | The early warning monitoring capability of a ship detection algorithm is significant for jurisdictional territorial waters and plays a key role in safeguarding the national maritime strategic rights and interests. In this paper, a Fast Maritime Target Identification algorithm, FMTI, is proposed to identify maritime targets rapidly. The FMTI adopts a Single Feature Map Fusion architecture as its encoder, thereby improving its detection performance for varying scales of ship targets, from tiny-scale targets to large-scale targets. The FMTI algorithm has a decent detection accuracy and computing power, according to the mean average precision (mAP) and floating-point operations (FLOPs). The FMTI algorithm is 7% more accurate than YOLOF for the mAP measure, and FMTI’s FLOPs is equal to 98.016 G. The FMTI can serve the demands of marine vessel identification while also guiding the creation of supplemental judgments for maritime surveillance, offshore military defense, and active warning. |
| first_indexed | 2024-03-10T03:24:07Z |
| format | Article |
| id | doaj.art-17f29c2ea54240bcb0ec99b493e6f021 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:24:07Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-17f29c2ea54240bcb0ec99b493e6f0212023-11-23T09:55:22ZengMDPI AGApplied Sciences2076-34172022-05-011210493810.3390/app12104938A Fast Maritime Target Identification Algorithm for Offshore Ship DetectionJinshan Wu0Jiawen Li1Ronghui Li2Xing Xi3Dongxu Gui4Jianchuan Yin5Maritime College, Guangdong Ocean University, Zhanjiang 524000, ChinaMaritime College, Guangdong Ocean University, Zhanjiang 524000, ChinaMaritime College, Guangdong Ocean University, Zhanjiang 524000, ChinaCollege of Computer, Guangdong University of Technology, Guangzhou 510006, ChinaCollege of Information Technology, Jilin Agricultural University, Changchun 130000, ChinaMaritime College, Guangdong Ocean University, Zhanjiang 524000, ChinaThe early warning monitoring capability of a ship detection algorithm is significant for jurisdictional territorial waters and plays a key role in safeguarding the national maritime strategic rights and interests. In this paper, a Fast Maritime Target Identification algorithm, FMTI, is proposed to identify maritime targets rapidly. The FMTI adopts a Single Feature Map Fusion architecture as its encoder, thereby improving its detection performance for varying scales of ship targets, from tiny-scale targets to large-scale targets. The FMTI algorithm has a decent detection accuracy and computing power, according to the mean average precision (mAP) and floating-point operations (FLOPs). The FMTI algorithm is 7% more accurate than YOLOF for the mAP measure, and FMTI’s FLOPs is equal to 98.016 G. The FMTI can serve the demands of marine vessel identification while also guiding the creation of supplemental judgments for maritime surveillance, offshore military defense, and active warning.https://www.mdpi.com/2076-3417/12/10/4938YOLOFtarget identificationmaritime identificationmonitoring and early warning |
| spellingShingle | Jinshan Wu Jiawen Li Ronghui Li Xing Xi Dongxu Gui Jianchuan Yin A Fast Maritime Target Identification Algorithm for Offshore Ship Detection Applied Sciences YOLOF target identification maritime identification monitoring and early warning |
| title | A Fast Maritime Target Identification Algorithm for Offshore Ship Detection |
| title_full | A Fast Maritime Target Identification Algorithm for Offshore Ship Detection |
| title_fullStr | A Fast Maritime Target Identification Algorithm for Offshore Ship Detection |
| title_full_unstemmed | A Fast Maritime Target Identification Algorithm for Offshore Ship Detection |
| title_short | A Fast Maritime Target Identification Algorithm for Offshore Ship Detection |
| title_sort | fast maritime target identification algorithm for offshore ship detection |
| topic | YOLOF target identification maritime identification monitoring and early warning |
| url | https://www.mdpi.com/2076-3417/12/10/4938 |
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