篇名：Intelligent Recognition System Based on Contour Accentuation for Navigation Marks
作者：Yanke Du, Shuo Sun, Shi Qiu, Shaoxi Li, Mingyang Pan, Chi-Hua Chen*(陈志华)
来源：Wireless Communications and Mobile Computing
年份：2021
DOI: https://doi.org/10.1155/2021/6631074
文章摘要：
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.
以航标为代表的导航环境感知是无人驾驶船舶和智能导航系统的一项重要任务，可以通过识别来自摄像机的图像来实现。为了提高图像识别精度，本文将轮廓重读算法与基于多尺度注意机制的导航标记分类模型相结合。实验结果表明，该方法将航标分类的准确率从95.98%提高到96.53%。基于该分类模型，为长江南京水路局开发了一个智能航标识别系统，该系统采用TensorFlow服务对模型进行部署和更新。
