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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >SAR Target Analysis Based on Multiple-Sublook Decomposition: A Visual Exploration Approach
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SAR Target Analysis Based on Multiple-Sublook Decomposition: A Visual Exploration Approach

机译:基于多子分解的SAR目标分析:一种视觉探索方法

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摘要

The advent of submeter-resolution synthetic aperture radar (SAR) images from satellites such as TerraSAR-X has given a new dimension to SAR image understanding. Even though emphasis is always on discovering automatic means of target characterization, visual exploration of targets and objects is the first step in many applications. While considering the complex-valued SAR images, visual inspection of the targets in an image may provide incomplete and misleading information, as sometimes two entirely different behaving objects look quite similar in SAR images. Thus, a need was felt to develop a methodology to support visual target recognition and analysis. In this letter, we present a method which looks into the complex-valued spectrum of SAR images, thus allowing a detailed physical interpretation of the scattering behavior of objects. The presented method is a joint time–frequency analysis method based on sublook decomposition. With the presented results, we emphasize the use of complex-valued SAR images for target characterization, the use of which is primarily restricted to polarimetric and interferometric applications as of now.
机译:来自诸如TerraSAR-X之类的卫星的亚微米分辨率合成孔径雷达(SAR)图像的出现为SAR图像理解提供了新的维度。尽管重点始终放在发现目标特征的自动手段上,但是在许多应用程序中,目视探测目标和对象是第一步。在考虑复数值SAR图像时,对图像中目标的目视检查可能会提供不完整和误导性的信息,因为有时两个完全不同的行为对象在SAR图像中看起来非常相似。因此,感到需要开发一种方法来支持视觉目标识别和分析。在这封信中,我们提出了一种研究SAR图像的复数值光谱的方法,从而可以对物体的散射行为进行详细的物理解释。提出的方法是一种基于子图分解的时频联合分析方法。借助呈现的结果,我们强调了使用复数值SAR图像进行目标表征,到目前为止,其使用主要限于极化和干涉测量应用。

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