基于尾迹特征的SAR图像舰船长度估计

Ship's Length Estimation from Its Wakes in Synthetic Aperture Radar Images

  • 摘要: 通过研究尾迹波谱的周期特性与舰船外形特征之间的关系,建立基于波谱函数的舰船长度估计模型.基于瘦船体假设条件,从数学上论述利用波高谱信息估算舰船长度的可行性,提出由图像谱计算波高谱,再计算波幅函数周期,最后得到舰船长度的三步法.以小船和大型舰船为目标,通过该方法和常用方法做对比实验.结果表明,三步法提取的舰船长度相对误差小于5%,提取结果受方位影响小,效果比传统的直接像素点灰度统计方法好,有利于进一步的舰船识别和分类.

     

    Abstract: A close relationship between a ship's length and its wakes is presented, and a model is built up based on it. Under the thin ship assumption, the feasibility of estimating ship's length from its wave spectra is discussed mathematically, then a three steps of method estimation is introduced. This method is compared with the traditional method and the ellipse method. The results show that the error of the new method is less than 5%. It is less affected by orientation and is more robust than the traditional methods, and it helps to recognize or classify ship targets in SAR images in the future.

     

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