从雷达图像中去除背景无用信号的组合技术

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI:10.1109/ICGCIOT.2018.8753017

Aditya Tharad, Abhishek Bhatt, Sania Srivastava, Praveen Kumar

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引用次数: 0

摘要

搜索雷达中不需要的信号通常被描述为噪音或杂波，这也包括地面回波、海上回波、天气、建筑物、鸟类和昆虫。杂波的去除是雷达信号处理中的一个重大挑战。在本文中，我们尝试使用某些锐化过滤器和自定义线性2D过滤器用于这样的应用程序。我们报告了使用从国家气象局增强雷达图像-国家马赛克网站收集的雷达图像数据集进行的与去除背景干扰等杂波相关的工作。该方法取得了令人满意的效果，使雷达回波突出、清晰。

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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Combination of Techniques for Removal of Background Unwanted Signals from Radar Images

Unwanted signals in a search radar are generally described as noise or clutter and this also includes ground returns, sea returns, weather, buildings, birds and insects. Removal of clutter is a significant challenge in radar signal processing. In this paper, we experiment with the use of certain sharpening filters and custom linear 2D filers for such an application. We report the work related to the removal of clutter like background disturbance carried out using a dataset of radar images collected from a website of National Weather Service Enhanced Radar Image — National Mosaic. The proposed approach provides satisfactory results making the radar returns prominent and sharp.

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2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)

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