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Ship detection based on the power of the Radarsat-2 polarimetric data

机译:基于Radarsat-2极化数据的功率进行船舶检测

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Ship target detection using PolSAR data has been an active research area and many algorithms have been developed in recent years. In this paper, we present a new method based on the difference between the ship pixels and background pixels, using a model similar to LBP (Local Binary Pattern). After that, the polarimetric signature method, namely, the SPAN (total power) detector, is used to detect ships. We adopt one Radarsat-2 data set with four-look processing for experiment, which was obtained in the Strait of Gibraltar ocean area. In comparing with other methods, we find that the result of our method is better than other detectors.
机译:使用PolSAR数据进行舰船目标检测一直是一个活跃的研究领域,近年来已经开发了许多算法。在本文中,我们使用类似于LBP(局部二值模式)的模型,提出了一种基于舰船像素和背景像素之间差异的新方法。之后,使用极化签名方法,即SPAN(总功率)检测器来检测船只。我们采用一个Radarsat-2数据集,该数据集经过四眼处理以进行实验,该数据集是在直布罗陀海峡海峡获得的。与其他方法进行比较,我们发现我们的方法的结果优于其他检测器。

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