Log-polar and polar image for recognition targets

A. Toumi, A. Khenchaf
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引用次数: 6

Abstract

We describe in this paper, data processing algorithms applied on radar image in order to extract feature descriptors and then to perform recognition task. Several kinds of descriptors can be used to acquire information about target characteristics from radar images such as ISAR (Inverse Synthetic Aperture Radar) images. This paper presents two types of vector descriptors extracted via two minds of transformed images so-called polar and log-polar images obtained respectively from the polar and log-polar mapping. In order to guarantee the invariance of some geometrical transformation, additional processing are proposed. In this paper, we present the polar and log-polar transformations and then the classification scheme adapted on correspondent polar and log-polar templates. In the classification step, log-polar and polar mapping results are compared using adapted classification scheme.
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对数极坐标和极坐标图像用于识别目标
本文介绍了应用于雷达图像的数据处理算法,以提取特征描述符并进行识别。从ISAR(逆合成孔径雷达)等雷达图像中获取目标特征信息,可以使用几种描述符。本文提出了两种矢量描述子,分别由极坐标映射和对数极坐标映射得到两种变换后的图像,即极坐标和对数极坐标图像。为了保证某些几何变换的不变性,提出了附加处理方法。本文首先给出了极坐标和对数极坐标变换,然后给出了相应极坐标和对数极坐标模板上的分类方案。在分类步骤中,使用适应的分类方案对对数极坐标和极坐标映射结果进行比较。
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