1. 河海大学物联网工程学院
2. 常州市传感网与环境感知重点实验室
纸质出版:2017
移动端阅览
[1]霍冠英,刘静,李庆武.侧扫声呐图像统计特性研究[J].传感器与微系统,2017,36(03):25-28+32.
HUO Guan-ying, LIU Jing, LI Qing-wu. Study of statistical characteristics of sidescan sonar image[J]. 2017, 36(3): 25-28+32.
[1]霍冠英,刘静,李庆武.侧扫声呐图像统计特性研究[J].传感器与微系统,2017,36(03):25-28+32. DOI: 10.13873/J.1000-9787(2017)03-0025-04.
HUO Guan-ying, LIU Jing, LI Qing-wu. Study of statistical characteristics of sidescan sonar image[J]. 2017, 36(3): 25-28+32. DOI: 10.13873/J.1000-9787(2017)03-0025-04.
在分析侧扫声呐成像的散射模型基础上
给出了海底混响服从瑞利分布的理论依据。分析了其它典型概率分布的合理性并给出了各概率分布参数的估计方法。通过实验来检验比较几种典型的概率分布的最佳拟合。实验结果表明:总体来看
威布尔分布更为精确
但瑞利分布仍保持了较好的拟合特性。特别是当底质粗糙、混响较强时
使用瑞利分布和威布尔分布相当。这一研究结果可为侧扫声呐图像的底质分割提供重要依据。
On the basis of analysis on scattering model of sidescan sonar imaging
theoretical basis for the Rayleigh distribution of seafloor reverberation is given. The rationality of other typical probability distributions is analyzed
and the methods for parameter estimating of the mentioned probability distributions are given. The best fitting of several typical probability distributions are tested and compared by experiments. The experimental results show that the Weibull distribution is generally more accurate
and the Rayleigh distribution still has a good fitting characteristic. The research results can provide an important basis for seabed segmentation of sidescan sonar images.
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