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Some applications of SAR image registration: autofocusing, odometry,moving-object localization, and navigation resetting,

机译:SAR图像配准的一些应用:自动聚焦,里程计,移动对象定位和导航重置,

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Abstract: Though accurate motion compensation for SAR satellite imaging is not an acute problem at present, it will probably become one in the near future with increase in the ground resolution of available sensors. This problem is already nowadays extremely pertinent for airborne SAR imaging, especially with slow and/or unmanned aircrafts. Image registration is often the first and highly critical step in many operational uses of SAR imaging. We illustrate some of those applications with highly distorted airborne SAR images. Those applications are of two main classes, one being the registration of two similar SAR images without an external reference, and the second being the registration of a SAR image with another type of geographical data such as an optical image or map. The local similarity of the images in the first class of problems leads us to adapt a technique from optical flow motion evaluation. We used a local correlation technique with a low dimensional parametrization of the motion to be estimated. The second class of problems is dealt by first extracting linear (sometimes pointwise or areal) features and then matching them by means of a multi hypothesis filtering. We shall describe here four applications of image registration: (1) The first one is the registration of single-look images obtained within the same overflight in order to compensate for trajectory errors not detected by the aircraft navigation system. This registration not only allows the multi-look incoherent summation, but also the refocusing of the single-look images to increase azimuth resolution. This process is the type of 'auto-focusing' known as frame-drift. (2) Multi-look registration also provides an accurate evaluation of ground speed of the carrier aircraft that can be exploited for internal navigation unit hybridization, even in the absence of cartographic knowledge of the area flown over. This application is called 'odometering.' (3) Multi-look registration is furthermore extremely critical for moving vehicles detection and their proper motion estimation using multi-look imaging on wide beam antennas. This is one version of the problem known as 'moving target indication.' (4) Registration of a SAR image with a map or an optical image of a given area is also used for accurate localization of objects detected in geographical coordinates, for their designation to other systems. It may also be used for accurately localizing the carrier air-vehicle, especially when unmanned. This is the 'navigation resetting problem.' !9
机译:摘要:尽管目前对SAR卫星成像进行精确的运动补偿并不是一个迫切的问题,但随着可用传感器的地面分辨率的提高,在不久的将来它可能会成为一种补偿。如今,这个问题已经非常适合机载SAR成像,特别是对于慢速和/或无人驾驶飞机。在SAR成像的许多操作使用中,图像配准通常是第一步,也是至关重要的一步。我们以高度失真的机载SAR图像说明了其中一些应用。这些应用程序分为两个主要类别,一个类别是在没有外部参考的情况下注册两个相似的SAR图像,第二个类别是在另一种地理数据(例如光学图像或地图)中注册SAR图像。第一类问题中图像的局部相似性导致我们采用一种光流运动评估技术。我们使用具有低维参数化运动的局部相关技术进行估计。第二类问题是通过首先提取线性(有时是点状或面状)特征,然后通过多假设过滤将其匹配来解决的。我们将在这里描述图像配准的四个应用:(1)第一个是在同一飞行中获得的单视图像的配准,以补偿飞机导航系统未检测到的轨迹误差。该配准不仅允许多视点不相干求和,而且还允许单视点图像的重新聚焦以增加方位角分辨率。此过程是称为帧漂移的“自动聚焦”类型。 (2)多视点配准还提供了对航空器地面速度的准确评估,即使没有飞行面积的制图知识,也可以将其用于内部导航单元混合。此应用程序称为“里程表”。 (3)对于在宽波束天线上使用多视点成像的移动车辆检测及其正确的运动估计,多视点配准至关重要。这是称为“移动目标指示”的问题的一种形式。 (4)SAR图像与给定区域的地图或光学图像的配准也可用于在地理坐标中检测到的对象的精确定位,以将其指定给其他系统。它也可用于精确定位运载工具的车辆,特别是在无人驾驶时。这是“导航重置问题”。 !9

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