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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Fast detecting and locating groups of targets in high-resolution SAR images
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Fast detecting and locating groups of targets in high-resolution SAR images

机译：快速检测和定位高分辨率SAR图像中的目标组

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摘要

A new algorithm for detecting and locating groups of targets in high-resolution SAR images is presented. Firstly, a global constant false alarm rate (CFAR) detector is utilized to locate the potential target regions. Then, the size, shape, and contrast features of each region are computed for target discrimination based on voting decision. As targets are often deployed in well-defined groups and all targets within one group have a certain relationship in their positions, it is possible to extract the whole target group and diminish clutter false alarms. The experiment results show that the proposed algorithm significantly reduces the regions revisited by an automatic target recognition (ATR) system, and false alarms can be greatly diminished. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
机译：提出了一种在高分辨率SAR图像中检测和定位目标组的新算法。首先，使用全局恒定误报率（CFAR）检测器来定位潜在目标区域。然后，计算每个区域的大小，形状和对比度特征，以基于投票决策进行目标区分。由于目标通常部署在定义明确的组中，并且一组内的所有目标在位置上都具有一定的关系，因此有可能提取整个目标组并减少混乱的错误警报。实验结果表明，该算法显着减少了自动目标识别（ATR）系统所重访的区域，并大大减少了误报。 （c）2006模式识别学会。由Elsevier Ltd.出版。保留所有权利。

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