• 中国科技核心期刊
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Volume 30 Issue 1
Feb  2022
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2022  >  30(1): 78-84
PAN Xuan-ren, WANG Dong-jiao, YE Jia-wei. Improved Algorithm of Connected Component Labeling for Unmanned Surface Vehicle Radar Images[J]. Journal of Unmanned Undersea Systems, 2022, 30(1): 78-84. doi: 10.11993/j.issn.2096-3920.2022.01.010
Citation: PAN Xuan-ren, WANG Dong-jiao, YE Jia-wei. Improved Algorithm of Connected Component Labeling for Unmanned Surface Vehicle Radar Images[J]. Journal of Unmanned Undersea Systems, 2022, 30(1): 78-84. doi: 10.11993/j.issn.2096-3920.2022.01.010
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Improved Algorithm of Connected Component Labeling for Unmanned Surface Vehicle Radar Images

doi: 10.11993/j.issn.2096-3920.2022.01.010

  • College of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510640, China

  • Received Date: 2021-01-18
  • Rev Recd Date: 2021-03-19
  • Publish Date: 2022-02-28
    Abstract
  • When an unmanned surface vehicle(USV) equipped with a boat-borne radar navigates the water, the radar scans the environment near the water, and the radar image is used to identify the obstacles around the USV. To distinguish different obstacles, a connected component labeling algorithm is used to mark different obstacles in the radar image. Owing to the interference from clutter on radar imaging, the pixels in the radar image increase; thus, the results obtained from traditional algorithms to process the image are inadequate. Therefore, an improved algorithm is proposed to improve the function of removing the clutter pixels based on conventional algorithms and mark the biggest obstacle in the image. Compared with the traditional algorithm, the improved algorithm reduced the number of marked areas, and the processed radar images are smoother, which is convenient for the USV to detect the largest obstacle early such that avoidance maneuvers can be performed.

     

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