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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Reverse Backprojection Algorithm for the Accurate Generation of SAR Raw Data of Natural Scenes
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Reverse Backprojection Algorithm for the Accurate Generation of SAR Raw Data of Natural Scenes

机译：反向反投影算法准确生成自然场景SAR原始数据。

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摘要

Future synthetic aperture radar (SAR) mission concepts often rely on locally nonlinear (e.g., high orbits and bistatic) surveys or acquisition schemes. The simulation of the raw data of natural scenes as acquired by future systems appears as one powerful tool in order to understand the particularities of these systems and assess the impact of system and propagation errors on their performance. We put forward, in this letter, a new formulation of the reverse backprojection algorithm for the accurate simulation of raw data of natural surfaces. In particular, the algorithm is perfectly suited to accommodate any kind (1-D/2-D) of temporal and spatial variation, e.g., in observation geometry, acquisition strategy, or atmospheric propagation. The algorithm is analyzed with respect to its SAR image formation sibling, and tested under different simulation scenarios. We expect the reverse backprojection algorithm to play a relevant role in the simulation of future geosynchronous and multistatic SAR missions.
机译：未来的合成孔径雷达（SAR）任务概念通常依赖于局部非线性（例如高轨道和双基地）勘测或采集方案。为了了解这些系统的特殊性并评估系统的影响和传播误差对其性能的影响，未来系统所获取的自然场景原始数据的模拟似乎是一种强大的工具。我们在这封信中提出了一种反投影算法的新公式，用于精确模拟自然表面的原始数据。特别地，该算法非常适合于适应任何种类的（1-D / 2-D）时间和空间变化，例如在观测几何，采集策略或大气传播方面。针对该算法的SAR图像形成同级进行了分析，并在不同的模拟场景下进行了测试。我们期望反向反投影算法在未来地球同步和多静态SAR任务的仿真中发挥重要作用。

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