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Copyright © 2021 Yanke Du et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Sensing navigational environment represented by navigation marks is an important task for unmanned ships and intelligent navigation systems, and the sensing can be performed by recognizing the images from a camera. In order to improve the image recognition accuracy, this paper combined a contour accentuation algorithm into a multiple scale attention mechanism-based classification model for navigation marks. Experimental results show that the method increases the accuracy of navigation mark classification from 95.98% to 96.53%. Based on the classification model, an intelligent navigation mark recognition system was developed for the Changjiang Nanjing Waterway Bureau, in which the model is deployed and updated by the TensorFlow Serving.

Details

Title
Intelligent Recognition System Based on Contour Accentuation for Navigation Marks
Author
Du, Yanke 1   VIAFID ORCID Logo  ; Sun, Shuo 1   VIAFID ORCID Logo  ; Qiu, Shi 1   VIAFID ORCID Logo  ; Li, Shaoxi 1   VIAFID ORCID Logo  ; Pan, Mingyang 1   VIAFID ORCID Logo  ; Chi-Hua, Chen 2   VIAFID ORCID Logo 

 Navigation College, Dalian Maritime University, Dalian 116026, China 
 College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China; Key Laboratory of Intelligent Metro of Universities in Fujian, Fuzhou University, Fuzhou 350108, China 
Editor
Xingsi Xue
Publication year
2021
Publication date
2021
Publisher
John Wiley & Sons, Inc.
e-ISSN
15308677
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2501177673
Copyright
Copyright © 2021 Yanke Du et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.