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Fusion of synthetic and infrared imagery.

机译:合成图像和红外图像的融合。

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This research presents the concept of an Enhanced and Synthetic Vision System (ESVS) that could help aircraft pilots see in low visibility conditions. The basic idea is that synthetic and infrared imagery would be fused to maximize image content. Three fusion algorithms were implemented and tuned for this particular purpose. Artificially generated infrared images as well as synthetic images were used to evaluate the algorithms' performance. An observer experiment, based on a typical search and rescue scenario, showed that image fusion leads to an increase in useful information. Different registration conditions were also simulated to investigate their effect on a potential ESVS.
机译:这项研究提出了增强型综合视觉系统(ESVS)的概念,该系统可以帮助飞机驾驶员在低能见度条件下进行观察。基本思想是将合成图像和红外图像融合在一起以最大化图像内容。为此实现了三种融合算法并对其进行了调整。人工生成的红外图像以及合成图像都用于评估算法的性能。基于典型搜索和救援场景的观察者实验表明,图像融合会导致有用信息的增加。还模拟了不同的注册条件,以研究其对潜在ESVS的影响。

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