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Apparatus, system and method for highlighting anomalous change in multi-pass synthetic aperture radar imagery

机译:在多程合成孔径雷达图像中突出异常变化的装置,系统和方法

摘要

Described herein are various technologies relating to constructing a statistically-normalized coherence (SNC) image. A plurality of synthetic aperture radar (SAR) images of a scene are generated based upon radar signals directed towards and reflected off of the scene, and a plurality of coherence change detection (CCD) images of the scene are generated based upon the SAR images. The CCD images are registered with one another, and mean and variance are computed on a pixel-wise basis. A new CCD image is subsequently received, and registered with the plurality of CCD images. The SNC image is generated based upon the computed mean and variance values for each pixel in the registered CCD images, and further based upon values of pixels in the new CCD image. The SNC image identifies locations in the scene where anomalous activity is represented in the new CCD image.
机译:本文描述了与构建统计归一化相干(SNC)图像有关的各种技术。基于指向和反射离开场景的雷达信号生成场景的多个合成孔径雷达(SAR)图像,并基于SAR图像生成场景的多个相干变化检测(CCD)图像。 CCD图像彼此对齐,并且均值和方差以像素为单位进行计算。随后接收新的CCD图像,并且将其与多个CCD图像配准。基于所计算的配准的CCD图像中的每个像素的均值和方差值,并且还基于新的CCD图像中的像素的值,来生成SNC图像。 SNC图像标识场景中新的CCD图像中表示异常活动的位置。

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