让标准雷达算法处理极坐标格式的聚束雷达图像
Modifying Range-Doppler geometry frameworks to process Spotlight SAR imagery in Polar Format
- 基于传感器无关数据规范，简化极坐标与地面间的几何映射
- 支持常数孔径中心时间的聚束模式影像处理，无需复杂改造
- 适合需要兼容SICD格式的开源雷达软件开发者使用
本文提出一种简便方法，使标准距离-多普勒（RDA）几何算法能够处理以极坐标格式（PFA）分布的聚束合成孔径雷达（SAR）影像。该方法适用于孔径中心时间（COA）恒定的PFA SAR图像。我们基于传感器无关复数数据（SICD）规范，推导出前向（图像到地表）和逆向（地表到图像）几何映射的简化表达式。文中讨论了现有开源雷达软件中实现RDA算法的简单修改方式，使其支持以SICD格式分布的聚束数据。附带一个概念验证脚本，使用sarpy和isce3 Python库演示了该方法的有效性。
原文摘要 · Abstract (English)
We present a simple method to enable processing of Spotlight Synthetic Aperture Radar (SAR) imagery distributed in Polar Format (PFA) using standard Range-Doppler (RDA) geometry algorithms. Our approach is applicable to PFA SAR images characterized by a constant value of the Center of Aperture (COA) time. We present simplified expressions for forward (image-to-ground) and inverse (ground-to-image) geometry mapping using Sensor Independent Complex Data (SICD) conventions. We discuss simple changes needed to current open source SAR software that implement Range-Doppler algorithms, to enable support within them for Spotlight data distributed in SICD format. We include a proof-of-concept script that utilizes the Python packages sarpy and isce3 to demonstrate the correctness of the proposed approach.
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