论文标题
使用合成孔径雷达视频更改检测
Change Detection Using Synthetic Aperture Radar Videos
论文作者
论文摘要
许多研究都使用时间SAR图像进行了更改检测。在本文中，已经提出了使用SAR视频进行更改检测的算法。与SAR视频相关的挑战，例如高水平的斑点噪声，由于机载汽车的圆形运动，SAR脉冲的不均匀背部散射，视频的SAR图像框架旋转了特定轴的旋转。因此，用于光学视频的常规更改检测算法，SAR时间图像不能直接用于SAR视频。我们提出了一种算法，该算法是使用Lucas Kanade（LK）方法和BLOB检测的光流计算的组合。开发的方法遵循四个步骤方法：图像过滤和增强，应用LK方法，BLOB分析以及将LK方法与BLOB分析相结合。在Sandia National Laboratories网站上可用的SAR视频和SAR Simulator生成的SAR视频中，对开发方法的性能进行了测试。
Many researches have been carried out for change detection using temporal SAR images. In this paper an algorithm for change detection using SAR videos has been proposed. There are various challenges related to SAR videos such as high level of speckle noise, rotation of SAR image frames of the video around a particular axis due to the circular movement of airborne vehicle, non-uniform back scattering of SAR pulses. Hence conventional change detection algorithms used for optical videos and SAR temporal images cannot be directly utilized for SAR videos. We propose an algorithm which is a combination of optical flow calculation using Lucas Kanade (LK) method and blob detection. The developed method follows a four steps approach: image filtering and enhancement, applying LK method, blob analysis and combining LK method with blob analysis. The performance of the developed approach was tested on SAR videos available on Sandia National Laboratories website and SAR videos generated by a SAR simulator.
