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ATR via coregistration of visual thermal range (VTR)-augmented radar images

机译:通过视觉热范围(VTR)增强雷达图像的共配来进行ATR

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Abstract: A method to automatically detect targets from sets of pixel- registered visual, thermal, and range images is outlined. It uses operations specifically designed to work on the different kinds of images to explore the information given by each of them. Five features are used to distinguish the targets from the clutter; texture, brightness, temperature, surface planarity, and height. We describe two different schemes. The first one involves logically combining the results of individual detectors with binary detection information as output. A morphological operation called `erosion of strength n' is introduced and utilized as a powerful tool for removal of spurious information. The second scheme utilizes the concept of `images of interest' to combine the information provided by the different images. A simple linear combination of these images yields excellent detection results. The success of this scheme supports its suitability for other ATR (Automatic Target Recognition) problems.!8
机译:摘要:概述了一种从像素注册的视觉,热学和测距图像集中自动检测目标的方法。它使用专门为处理各种图像而设计的操作,以探索每个图像提供的信息。有五种特征可用来区分目标和杂波。质地,亮度,温度,表面平面度和高度。我们描述了两种不同的方案。第一个涉及将单个检测器的结果与二进制检测信息作为输出进行逻辑组合。引入了一种称为“强度侵蚀”的形态学运算,并将其用作去除虚假信息的有力工具。第二种方案利用“感兴趣的图像”的概念来组合不同图像提供的信息。这些图像的简单线性组合可产生出色的检测结果。该方案的成功支持了它对其他ATR(自动目标识别)问题的适用性。!8

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