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Extensions to polar formatting with spatially variant post-filtering

机译:通过空间变体后滤波扩展到极坐标格式

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The polar format algorithm (PFA) is computationally faster than back projection for producing spotlight mode synthetic aperture radar (SAR). This is very important in applications such as video SAR for persistent surveillance, as images may need to be produced in real time. PFA's speed is largely due to making a planar wavefront assumption and forming the image onto a regular grid of pixels lying in a plane. Unfortunately, both assumptions cause loss of focus in airborne persistent surveillance applications. The planar wavefront assumption causes a loss of focus in the scene for pixels that are far from scene center. The planar grid of image pixels causes loss of the depth of focus for conic flight geometries. In this paper, we present a method to compensate for the loss of depth of focus while warping the image onto a terrain map to produce orthorectified imagery. This technique applies a spatially variant post-filter and resampling to correct the defocus while dewarping the image. This work builds on spatially variant post-filtering techniques previously developed at Sandia National Laboratories in that it incorporates corrections for terrain height and circular flight paths. This approach produces high quality SAR images many times faster than back projection
机译:极坐标格式算法(PFA)在计算上比背投影更快,可产生聚光模式合成孔径雷达(SAR)。这在用于持续监视的视频SAR等应用中非常重要,因为可能需要实时生成图像。 PFA的速度很大程度上是由于做出了平面波前假设,并将图像形成在平面上像素的规则网格上。不幸的是,这两种假设都会导致机载持续监视应用失去重点。平面波前假设会导致远离场景中心的像素失去场景焦点。图像像素的平面网格导致圆锥飞行几何图形的焦点深度损失。在本文中,我们提出了一种在将图像扭曲到地形图上以生成正射影像时,补偿焦点深度损失的方法。此技术应用空间变化的后置滤波器和重新采样以校正散焦,同时使图像变形。这项工作建立在先前由桑迪亚国家实验室开发的空间变异后滤波技术的基础上,该技术结合了对地形高度和圆形飞行路径的校正。这种方法产生高质量SAR图像的速度比反投影快许多倍

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