Stereo radargrammetry using airborne SAR images without GCP
Stereo radargrammetry using airborne SAR images without GCP
复制标题
使用机载 SAR 图像（无需 GCP）进行立体雷达测量
DOI：
10.1109/icip.2015.7351472
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Daiki Maruki
中科院分区：
文献类型：
--
作者：
Orita;R.;& Hattori;M.;Daiki Maruki
利用合成孔径雷达（SAR）进行高程测量是遥感领域的重要应用之一，因为利用SAR进行高程测量可以测量大范围的平面区域，而不需要在地面上设置任何监测设备。大多数传统方法需要地面控制点（GCP）来实现精确的三维测量，其中GCP获取是一项耗时且成本密集的任务。针对上述问题，提出了一种新的基于机载SAR图像的无控制点立体雷达测量方法。我们定义了一个新的传感器模型，只有参数提供的SAR图像采集，来自立体视觉的原则。由于所提出的传感器模型基于立体视觉，因此我们采用束调整以最大限度地减少3D测量中的重投影误差。我们还采用相位相关（POC），这是一个亚像素的图像匹配方法，利用相位信息获得的离散傅里叶变换（DFT）的给定图像，以获得密集和准确的对应两个SAR图像。通过使用SAR图像的实验，我们证明了与干涉合成孔径雷达（干涉合成孔径雷达）相比，该方法具有有效的雷达测量性能。
Elevation measurement using Synthetic Aperture Radar (SAR) is one of crucial applications in remote sensing, since the use of SAR in elevation measurement makes it possible to measure a wide range of planar area and not to set any monitoring device on the ground. Most of conventional methods need Ground Control Points (GCPs) to achieve accurate 3D measurement, where GCP acquisition is a time-consuming and cost-intensive task. Addressing the above problem, this paper proposes a novel stereo radargrammetry method using airborne SAR images without GCP. We define a new sensor model with only parameters provided in SAR image acquisition which derives from the principle of stereo vision. We employ bundle adjustment so as to minimize reprojection errors in 3D measurement, since the proposed sensor model is based on stereo vision. We also employ Phase-Only Correlation (POC), which is a sub-pixel image matching method using phase information obtained by Discrete Fourier Transform (DFT) of given images, to obtain dense and accurate correspondence between two SAR images. Through an experiment using SAR images, we demonstrate that the proposed method exhibits efficient performance of radargrammetry compared with Interferommetric SAR (InSAR).