基于图像轮廓特征的无人水面艇航海雷达目标检测修正方法

李立刚; 李勃然; 金久才; 刘德庆; 戴永寿

doi:10.11993/j.issn.2096-3920.2022.02.008

基于图像轮廓特征的无人水面艇航海雷达目标检测修正方法

doi: 10.11993/j.issn.2096-3920.2022.02.008

1. 中国石油大学(华东) 海洋与空间信息学院, 山东青岛, 266580;
2. 中国石油大学(华东) 控制科学与工程学院, 山东青岛, 266580;
3. 自然资源部第一海洋研究所海洋物理与遥感研究室, 山东青岛, 266061

基金项目:

中央高校基本科研业务费专项资助(19CX05003A-1).

国家重点研发计划(2017YFC1405203)

详细信息

作者简介:
李立刚(1976-),男,博士,副教授,主要研究方向为无人艇智能信息处理技术.

中图分类号: U665.22;TJ630.6
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- 文章访问数: 154
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- 被引次数: 0
出版历程
- 收稿日期: 2021-05-01
- 网络出版日期: 2022-07-16

Target Detection and Correction Method for Unmanned Surface Vehicles Marine Radar Based on Image Contour Features

1. College of Ocean and Space Information, China University of Petroleum(East China), Qingdao 266580, China;
2. College of Control Science and Engineering, China University of Petroleum(East China), Qingdao 266580, China;
3. Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China

摘要

摘要: 航海雷达具有检测范围广、全天候工作等优点, 是无人水面艇障碍目标检测的主要手段。但是对于岛屿、货轮等大型目标, 航海雷达无法对其所在区域进行准确描述, 并且可能将其误判为多个分散的目标。为此, 文中结合雷达图像特点, 提出一种基于图像轮廓特征的航海雷达目标检测修正方法。首先对雷达图像进行预处理, 简化图像数据, 增强有关信息的可检测性。然后根据目标对应像素点坐标提取目标轮廓, 若不同目标对应同一轮廓, 则认为发生误判, 并将误判产生的多个分散目标合并为一个目标。最后借助目标轮廓包含的距离和方位特征参数对目标所在区域准确描述。试验测试结果表明, 该方法能有效解决大型目标误判问题, 并将航海雷达检测结果中的距离误差降低79%以上, 方位误差最大减少60%。
- 无人水面艇 /
- 航海雷达 /
- 障碍目标检测 /
- 图像轮廓特征
Abstract: Marine radar has the advantages of a wide detection range and all-weather operation, and it is the main method used by unmanned surface vehicles(USV) to detect obstacles on the sea. However, for large targets such as islands and freighters, marine radar cannot accurately describe the area in which they are located and may misjudge them as multiple scattered targets. For this reason, a method for correcting the target detection result of marine radar based on image contour features was proposed with the use of the radar image characteristics. First, the radar image is preprocessed to simplify the image data and enhance the detectability of related information. Second, the target contour is extracted according to the corresponding pixel coordinates of the target. If different targets correspond to the same contour, a misjudgment is considered to have occurred, and multiple scattered targets generated by the misjudgment are combined into one target. Finally, the area where the target was located was described using the distance and orientation characteristic parameters contained in the target contour. The results of the experimental tests demonstrate that this method can effectively solve the problem of misjudgment of large targets and reduce the distance error in the detection results of marine radar by more than 79%, and the azimuth error by up to 60%.
- unmanned surface vehicle /
- marine radar /
- obstacle target detection /
- image contour feature

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参考文献(14)

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