Implementing Satellite-borne Synthetic Aperture Radar Imaging Algorithm with Open Source Scientific Software

B. Setiadi, Andria Arisal, A. Fakhrurrozi, H. Septanto, F. Kurniawan, S. Aditya
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Abstract

Implementing imaging algorithms for satellite-borne Synthetic Aperture Radar (SAR) sensor are challenging because they require complex computations and large storage. SAR imaging algorithms have been implemented in various compiled programming languages, such as Fortran and C/C++. However, in an academic and research environment, we need an interpreted programming language with strong support for mathematical operations, 2D and 3D plotting and visualization tools to support learning and implementing existing algorithms and even designing new ones. We describe our implementation of the Range Doppler algorithm (RDA) for satellite-borne SAR imaging using GNU Octave, an Open Source high-level interpreted programming language for scientific and numerical computation. The software process raw SAR data into a single-look complex image in four steps; range compression, secondary range compression, range cell migration correction, and azimuth compression. The overall implementation strategy for processing the airborne strip map mode raw data is explained, and results are presented.
利用开源科学软件实现星载合成孔径雷达成像算法
实现星载合成孔径雷达(SAR)传感器的成像算法具有挑战性,因为它们需要复杂的计算和大容量存储。SAR成像算法已经在各种编译的编程语言中实现,如Fortran和C/ c++。然而,在学术和研究环境中,我们需要一种具有强大数学运算支持的解释性编程语言,2D和3D绘图和可视化工具,以支持学习和实现现有算法,甚至设计新的算法。我们描述了我们使用GNU Octave(一种用于科学和数值计算的开源高级解释编程语言)实现的用于星载SAR成像的距离多普勒算法(RDA)。该软件分四个步骤将原始SAR数据处理成单目复杂图像;距离压缩、二次距离压缩、距离单元迁移校正和方位压缩。阐述了处理机载条形图模式原始数据的总体实现策略,并给出了结果。
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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