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A Model for the Backscattering from a Canonical Ship in SAR imagery

机译:SAR图像中规范舰船反向散射的模型。

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摘要

Synthetic aperture radar (SAR) sensors represent one of the most effective means to support activities in the sector of maritime surveillance. In the field of ship detection, many SAR-based algorithms have been proposed recently, but none of them has ever considered the electromagnetic aspects behind the interactions of SAR signals with the ship and surrounding waters, with the detection step and rate strongly influenced by relative thresholding techniques applied to the SAR amplitude or intensity image. This paper introduces a novel model to evaluate the radar cross section (RCS) backscattered from a canonical ship adapted, to the case at issue, from similar existing models developed for, and applied to, urban areas. The RCS is modeled using the Kirchhoff approximation (KA) within the geometrical optics (GO) solution and, following some assumptions on the scene parameters, derived by empirical observations; its probability density function is derived for all polarizations. An analysis of the sensitiveness of the RCS to the uncertainty on the input scene parameters is then performed. The new model is validated on two different TerraSAR-X images acquired in November 2012 over the Solent area in the U.K.: the RCS relevant to several isolated ships is measured and compared with the expected value deriving from the theoretical model here introduced. Results are widely discussed and ranges of applicability finally suggested.
机译:合成孔径雷达(SAR)传感器是支持海上监视领域活动的最有效手段之一。在船舶检测领域,最近提出了许多基于SAR的算法,但是它们都没有考虑到SAR信号与船舶和周围水域相互作用的电磁方面,而检测步骤和速率受相对值的影响很大。应用于SAR振幅或强度图像的阈值技术。本文介绍了一种新颖的模型,用于评估从典型舰船向后散射的雷达横截面(RCS),该舰适用于有争议的案例,该模型来自为城市地区开发并应用于城市的类似现有模型。使用几何光学(GO)解决方案中的基尔霍夫近似(KA)对RCS进行建模,并根据经验观察得出对场景参数的一些假设;它的概率密度函数是针对所有极化得出的。然后进行RCS对输入场景参数不确定性的敏感性分析。新模型已在2012年11月在英国Solent地区获得的两张不同TerraSAR-X图像上得到验证:测量了与多艘孤立船舶相关的RCS,并将其与此处介绍的理论模型得出的期望值进行了比较。对结果进行了广泛讨论,并最终提出了适用范围。

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