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ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques

机译:ISAR分辨率通过压缩感测增强:与现有技术的技术比较

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The applicability of Compressing Sensing (CS) to Inverse Synthetic Aperture Radar has been widely treated in the last few years. In particular, CS based image reconstruction algorithms have been developed and their effectiveness has been proven when dealing with data that are incomplete in slow time and/or frequency domain. Resolution enhancement has been identified as a case in which CS can be exploited to obtain good results even compared with state of the art super resolution techniques. In this paper an exhaustive performance analysis is performed and a numerical comparison among CS and conventional super resolution techniques is provided. Some performance indicators are defined and results are provided using real dataset.
机译:压缩传感(CS)对逆合成孔径雷达的适用性已在过去几年中得到广泛处理。特别地,已经开发了基于CS的图像重建算法,并且在处理慢速时间和/或频域中不完整的数据时已经证明了它们的有效性。已经识别出分辨率增强作为甚至与最先进的超分辨率技术相比,可以利用CS以获得良好结果的情况。在本文中,进行了一种详尽的性能分析,提供了CS和传统超分辨率技术的数值比较。定义了一些性能指标,使用实际数据集提供结果。

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