CLEAN technique in strip-map SAR for high-quality imaging

H. Ghaemi, M. Galletti, T. Boerner, F. Gekat, M. Viberg
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引用次数: 16

Abstract

The maximum obtainable resolution of a strip-map synthetic aperture radar (SAR) system can be retained by simply avoiding weighting, or tapering, data samples in the along-track compression process. However, this will lead to hazardous artifacts caused by strong sidelobes of the corresponding adjacent scatterers whose interference might severely weaken the desired targets or even introduce false targets. On the other hand, some residual artifacts, even after tapering process, may still deteriorate the quality (contrast) of the SAR image. These issues can be remedied by applying the so-called CLEAN technique, which can mitigate these ill-effects in strip-map SAR imagery while maintaining the maximum resolution. This, indeed, is carried out as a post processing step, i.e., after the azimuth compression is accomplished, in the SAR system. The objective of this paper is to extend the CLEAN technique to strip-map SAR system to produce high-quality images with a very good along-track resolution. The algorithm is then applied to data from a ground-based circular SAR (CSAR) system to verify its implementation as well as this new application of the CLEAN technique.
条带图SAR中的CLEAN技术实现高质量成像
条带图合成孔径雷达(SAR)系统的最大可获得分辨率可以通过简单地避免在沿航迹压缩过程中对数据样本进行加权或变细来保持。然而,这将导致相应相邻散射体的强副瓣产生危险伪影,其干扰可能严重削弱期望目标甚至引入假目标。另一方面,一些残余的伪影,即使经过渐缩处理,仍可能使SAR图像的质量(对比度)下降。这些问题可以通过应用所谓的CLEAN技术来解决,该技术可以在保持最大分辨率的同时减轻条形图SAR图像中的这些不良影响。这实际上是在SAR系统中作为后处理步骤进行的,即在方位角压缩完成之后。本文的目标是将CLEAN技术扩展到条形图SAR系统,以产生具有良好沿航迹分辨率的高质量图像。然后将该算法应用于地面圆形SAR (CSAR)系统的数据,以验证其实施以及CLEAN技术的新应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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