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Infrared Background analysis of Bay environments

机译:海湾环境的红外背景分析

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摘要

Present-day naval operations take place in coastal environments as well as narrow straits all over the world. Coastal environments around the world are exhibiting a number of threats to naval forces. In particular a large number of asymmetric threats can be present in environments with cluttered backgrounds as well as rapidly varying atmospheric conditions. During trials executed in False Bay a large amount of target, background and atmosphere data was gathered that is of use in analysis of optical characteristics of targets and backgrounds. During the trials a variety of backgrounds were recorded. We have used these backgrounds to validate the TNO background model MIBS to incorporate also coastal backgrounds and sunlit sea backgrounds. In the paper we show results of the background analysis, for coastal bay backgrounds. In particular the detection of small targets by automatic system may be hampered by small surface structure variations at the surface and near the horizon. The data that we analyzed are sea surface structure, temporal behaviour, and spectral differences during different environmental conditions that occurred during the trials. This data is essential to feed detection algorithms, and performance models for the assessment of sensor performance in coastal environment.
机译:当今的海军行动发生在世界各地的沿海环境以及狭窄的海峡中。世界各地的沿海环境都对海军造成了许多威胁。特别是在背景混乱以及大气条件迅速变化的环境中,可能会出现大量不对称威胁。在福克斯湾进行的试验中,收集了大量目标,背景和大气数据,这些数据可用于分析目标和背景的光学特性。在试验期间,记录了各种背景。我们已经使用这些背景来验证TNO背景模型MIBS,使其也包含沿海背景和阳光照射的海洋背景。在本文中,我们显示了沿海海湾背景的背景分析结果。特别地,通过自动系统对小目标的检测可能会受到地面和地平线附近的微小表面结构变化的阻碍。我们分析的数据是试验期间发生的不同环境条件下的海表结构,时间行为和光谱差异。该数据对于饲料检测算法和性能模型至关重要,这些模型用于评估沿海环境中的传感器性能。

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