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Study on the Geolocation Algorithm of Space-Borne SAR Image

机译:星空SAR图像的地理定位算法研究

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摘要

SAR (Synthetic Aperture Radar) images have been widely used nowadays, as the SAR system is capable of scanning the earth surface objects into high resolution images. Before the SAR images are used, the geolocation step is needed to locate arbitrary pixels in an image accurately. Geolocation is very important in geometric rectification, geocoding, as well as object location and detection in the SAR image. In this paper, we propose a novel geolocation algorithm, which is a hybrid of an iterative algorithm and the conventional analytic algorithm based on Range-Doppler (RD) location model. First a new analytic algorithm adopted in our approach is presented. Next, in order to correct the geometry and terrain height, an iterative routine is integrated into the procedure. The experiment results indicate that our algorithm is efficient and can achieve higher accuracies compared with three state-of-the-art location algorithms.
机译:SAR(合成孔径雷达)图像如今已被广泛使用,因为SAR系统能够将地表物体扫描成高分辨率图像。在使用SAR图像之前,需要执行地理定位步骤以准确定位图像中的任意像素。地理定位在SAR图像的几何校正,地理编码以及对象定位和检测中非常重要。在本文中,我们提出了一种新颖的地理定位算法,该算法是迭代算法和基于距离多普勒(RD)定位模型的常规解析算法的混合。首先,提出了一种新的解析算法。接下来,为了校正几何形状和地形高度,将迭代例程集成到该过程中。实验结果表明,与三种最新的定位算法相比,我们的算法是有效的,并且可以实现更高的精度。

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