Contour Accentuation for Transfer Learning-Based Ship Recognition Method

Chi Hua Chen, Yizhuo Zhang, Wenzhong Guo, Mingyang Pan, Lingjuan Lyu, Chia Yu Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

This study proposes a ship recognition system which includes intelligent bridge piers and a ship recognition server. The ship recognition server can analyse the contour features of ship images from intelligent bridge piers by the proposed contour accentuation method; the ship image with contour accentuation can be adopted as the inputs of transfer learning-based neural network for ship classification by the proposed transfer learning-based ship recognition method. In practical experiments, the results showed that the proposed transfer learning-based ship recognition method with contour accentuation can obtain higher accuracy, and the accuracy of the proposed method was 97.79%.

原文???core.languages.en_GB???
主出版物標題The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
發行者Association for Computing Machinery
頁面61-62
頁數2
ISBN(電子)9781450370240
DOIs
出版狀態已出版 - 20 4月 2020
事件29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan
持續時間: 20 4月 202024 4月 2020

出版系列

名字The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

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???event.eventtypes.event.conference???29th International World Wide Web Conference, WWW 2020
國家/地區Taiwan
城市Taipei
期間20/04/2024/04/20

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