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Comparison of Orbit-Based and Time-Offset-Based Geometric Correction Models for SAR Satellite Imagery Based on Error Simulation

机译:基于误差仿真的SAR卫星图像基于轨道和基于时间偏移的几何校正模型比较

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摘要

Geometric correction of SAR satellite imagery is the process to adjust the model parameters that define the relationship between ground and image coordinates. To achieve sub-pixel geolocation accuracy, the adoption of the appropriate geometric correction model and parameters is important. Until now, various geometric correction models have been developed and applied. However, it is still difficult for general users to adopt a suitable geometric correction models having sufficient precision. In this regard, this paper evaluated the orbit-based and time-offset-based models with an error simulation. To evaluate the geometric correction models, Radarsat-1 images that have large errors in satellite orbit information and TerraSAR-X images that have a reportedly high accuracy in satellite orbit and sensor information were utilized. For Radarsat-1 imagery, the geometric correction model based on the satellite position parameters has a better performance than the model based on time-offset parameters. In the case of the TerraSAR-X imagery, two geometric correction models had similar performance and could ensure sub-pixel geolocation accuracy.
机译:SAR卫星图像的几何校正是调整定义地面和图像坐标之间关系的模型参数的过程。为了实现亚像素地理定位精度,采用适当的几何校正模型和参数很重要。到目前为止,已经开发并应用了各种几何校正模型。然而,对于一般用户而言,仍然难以采用具有足够精度的合适的几何校正模型。在这方面,本文通过误差仿真评估了基于轨道和基于时间偏移的模型。为了评估几何校正模型,使用了在卫星轨道信息中有较大误差的Radarsat-1图像和据报道在卫星轨道和传感器信息中具有高精度的TerraSAR-X图像。对于Radarsat-1影像,基于卫星位置参数的几何校正模型比基于时间偏移参数的模型具有更好的性能。在TerraSAR-X影像的情况下,两个几何校正模型具有相似的性能,并且可以确保亚像素地理定位的准确性。

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