Restoration of the Blind Zone of the Image of the Underlying Surface for Radar Systems with Doppler Beam Sharpening

V. Fedosov, R. R. Ibadov, S. R. Ibadov, V. Voronin
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引用次数: 3

Abstract

This article discusses the possibility of building a radar map in the mode of Doppler beam sharpening. Spatial autocorrelation is considered as an image preprocessing for subsequent analysis when restoring a part of the map in the direction course carrier of the radar. Present is method for restoring the blind zone of images of the underlying surface map based on the search for similar blocks and their combination using a neural network. The efficiency of this approach is shown on several examples for different areas with lost pixels.
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多普勒波束锐化雷达下垫面图像盲区恢复
本文讨论了在多普勒波束锐化模式下建立雷达图的可能性。空间自相关是在雷达航向载体上恢复部分地图时,为后续分析进行的一种图像预处理。提出了一种基于神经网络的下垫面地图图像盲区恢复方法,该方法基于相似块的搜索和组合。该方法的有效性在几个具有丢失像素的不同区域的例子中得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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