基于流域分割的ISAR图像自动目标识别

A. Toumi, B. Hoeltzener, A. Khenchaf
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引用次数: 14

摘要

本文研究了雷达自动目标识别领域中id表示(图像)的形状提取处理。目的是为人类操作员提供有用的目标识别信息。然而,从雷达回波中提取目标特征是一项相当困难的任务。因此,可以采用几种雷达特征来获取目标信息[10,11]。本文提出了一种基于isar图像的雷达实验场目标识别检索系统。然后,利用分水岭变换提取目标形状,提出处理目标形状的有效特征。当然,目标形状给出了更好的人类解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using watersheds segmentation on ISAR image for automatic target recognition
This paper deals with the processing adopted for shape extraction from the ID-presentation (image) in radar automatic target recognition field. The goal is to provide helpful information to human operator for target recognition. However, extracting the target characteristics from a radar echoes is the rather difficult task. Hence, several kinds of radar signatures can be employed to acquire information about target [10, 11]. In this paper, we present one approach for retrieval system for target recognition bused on ISAR-images in radar experimentation field. Then, we propose efficient features that deals with target shape which are extracted using Watersheds transformation. Of course, the target shape gives a better human interpretation.
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