Synthetic Aperture Radar Signal Processing Algorithm Implementation in Python

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI:10.1109/AGERS56232.2022.10093257

B. Setiadi, Andria Arisal, Iman Firmansyah, A. Subekti, N. Chasanah, Jefri Abner Hamonangan, F. Kurniawan

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Abstract

The implementation of signal processing algorithms is crucial in the development of Synthetic Aperture Radar (SAR) systems. However, many references do not provide source code-level explanations, making it difficult for researchers and students to understand and implement these algorithms. This paper presents the implementation of the Omega-K algorithm (WKA) for SAR signal processing using Python. By using a freely accessible programming language, we aim to provide a low-cost, simple, and portable way to implement SAR signal processing algorithms compared to using commercial software packages. We describe the implementation details of two WKA variants at the source code level and demonstrate their use in processing Radarsat data. The execution results for various image sizes are tested, and the image results are compared with other reference implementations. Our results indicate that Python has considerable potential for SAR signal processing tasks.

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合成孔径雷达信号处理算法的Python实现

信号处理算法的实现是合成孔径雷达(SAR)系统发展的关键。然而，许多参考文献没有提供源代码级的解释，这使得研究人员和学生很难理解和实现这些算法。本文介绍了用Python实现用于SAR信号处理的Omega-K算法(WKA)。通过使用一种可自由访问的编程语言，我们的目标是提供一种低成本、简单和可移植的方式来实现SAR信号处理算法，而不是使用商业软件包。我们在源代码级别描述了两个WKA变体的实现细节，并演示了它们在处理Radarsat数据中的使用。测试了不同图像尺寸的执行结果，并与其他参考实现进行了比较。我们的研究结果表明，Python在SAR信号处理任务中具有相当大的潜力。

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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2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

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