| 基于轮廓重建的渔船雷达MAP-MRF快速反演研究 |
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| 引用本文： | 郑建丽,曹建军,刘 洋. 基于轮廓重建的渔船雷达MAP-MRF快速反演研究[J]. 农业工程, 2023, 13(1) |
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| 作者姓名： | 郑建丽 曹建军 刘 洋 |
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| 作者单位： | 中国水产科学研究院渔业机械仪器研究所,中国水产科学研究院渔业机械仪器研究所,辽宁师范大学计算机与信息技术学院 |
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| 基金项目： | 青岛海洋科学与技术试点国家实验室山东省专项经费(No. 2022QNLM010104-5);国家自然科学基金(32073026);辽宁省“兴辽英才计划”资助项目(XLYC1807073)；大连市支持高层次人才创新创业项目(2019RQ037)资助课题 |
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| 摘 要： | 渔船雷达是渔船导航系统的重要组成部分,在海上复杂气象条件下,具有不受能见度影响进行全天候观测的优势。从雷达信号向可判读图像信号的反演过程中,对雷达照射夹角间的缺失数据进行重建是反演过程中计算和时间花费最大的部分。依据渔船反演过程中的特性,将统计力学模型引入到雷达图层轮廓的重建计算当中,应用最大后验概率马尔可夫随机场框架实现了渔船雷达的快速雷达图像反演过程。文章成果对于减少反演时间,提高雷达刷新率,及时准确地发现海上强对流灾害目标具有重要的意义和实用价值。
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| 关 键 词： | 渔船雷达 反演 马尔可夫随机场 轮廓 插值 |
| 收稿时间： | 2022-07-18 |
| 修稿时间： | 2022-10-04 |
A study of rapid retrieval of shipborne Fishing vessel radar by MAP-MRF based on contour reconstruction |
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| ZHENG Jianli,CAO Jianjun and LIU Yang. A study of rapid retrieval of shipborne Fishing vessel radar by MAP-MRF based on contour reconstruction[J]. Agricultural Engineering, 2023, 13(1) |
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| Authors: | ZHENG Jianli CAO Jianjun LIU Yang |
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| Affiliation: | Fishery Machinery and Instrument Research Institute,Chinese Academy of Fishery Sciences,Shanghai,Fishery Machinery and Instrument Research Institute,Chinese Academy of Fishery Sciences,Shanghai,School of Computer and Information Technology,Liaoning Normal University |
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| Abstract: | Fishing vessel radar is an important part of shipborne system, which has the advantage of observation without being affected by visibility under complicated meteorological conditions at sea. In the inversion process from radar signal to interpretable image signal, reconstruction of missing data between the Angle of radar irradiation is the most time-consuming part in the inversion process. Based on the characteristics of meteorological radar inversion, this paper introduces statistical mechanics model into the reconstruction calculation of radar layer contour, and applies Maximum a Posteriori-Markov Random Field (MAP-MRF). The MAP-MRF framework realizes the fast radar image retrieval process of shipborne meteorological radar. The proposed method reduces the inversion time and improve the radar refresh rate so as to timely and accurately discover the Marine severe convection disaster targets. |
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| Keywords: | Fishing vessel radar retrieval MRF contour interpolation |
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