Rapid Retrieval of Shipborne Fishing Vessel Radar by MAP-MRF Based on Contour Reconstruction
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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。研究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。
Abstract:Fishing vessel radar is an important part of shipborne system, which has advantage of observation without being affected by visibility under complicated meteorological conditions at sea.In inversion process from radar signal to interpretable image signal, reconstruction of missing data between angle of radar irradiation is the most time-consuming part in inversion process.Based on characteristics of meteorological radar inversion, statistical mechanics model was introduced into reconstruction calculation of radar layer contour, and Maximum a Posteriori-Markov Random Field(MAP-MRF)was applied.MAP-MRF framework realized fast radar image retrieval process of shipborne meteorological radar.The proposed method reduced inversion time and improve radar refresh rate so as to timely and accurately discover marine severe convection disaster targets.
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Keywords:
- fishing vessel radar /
- retrieval /
- MRF /
- contour /
- interpolation
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表 1 数据重建准确率对比
Table 1. Data reconstruction accuracy comparison
方法 准确率 本文方法 0.878 最邻近插值法 0.827 双线性插值法 0.904 Barnes分析法 0.931 -
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