Intelligent Recognition System Based on Contour Accentuation for Navigation Marks Article Swipe
Yanke Du
,
Shuo Sun
,
Shi Qiu
,
Shaoxi Li
,
Mingyang Pan
,
Chi‐Hua Chen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6631074
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6631074
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/6631074
- https://downloads.hindawi.com/journals/wcmc/2021/6631074.pdf
- OA Status
- hybrid
- Cited By
- 13
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3135188703
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3135188703Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2021/6631074Digital Object Identifier
- Title
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Intelligent Recognition System Based on Contour Accentuation for Navigation MarksWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-01-01Full publication date if available
- Authors
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Yanke Du, Shuo Sun, Shi Qiu, Shaoxi Li, Mingyang Pan, Chi‐Hua ChenList of authors in order
- Landing page
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https://doi.org/10.1155/2021/6631074Publisher landing page
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https://downloads.hindawi.com/journals/wcmc/2021/6631074.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/wcmc/2021/6631074.pdfDirect OA link when available
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Computer science, Artificial intelligence, Computer vision, Pattern recognition (psychology)Top concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 2, 2024: 4, 2023: 1, 2022: 3, 2021: 3Per-year citation counts (last 5 years)
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25Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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