海湾环境IRST红外背景分析

P. Schwering, D. Bezuidenhout, W. H. Gunter, Francois P. J. le Roux, R. Sieberhagen
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引用次数: 11

摘要

当今世界各地的海军作战都在沿海环境和狭窄的海峡中进行。世界各地的沿海环境对海军力量构成了一系列威胁。特别是在背景杂乱的环境以及快速变化的大气条件下,可能存在大量的不对称威胁。在False Bay进行试验期间,收集了大量目标、背景和大气数据,用于分析目标和背景的光学特性。在试验期间,记录了各种各样的背景。我们已经使用这些背景来验证TNO背景模型MIBS,以纳入沿海背景和阳光照射的海洋背景。在本文中,我们展示了沿海海湾背景的背景分析结果。特别是小目标的自动检测可能会受到小的表面结构变化在表面和接近地平线的阻碍。我们分析的数据是在试验期间不同环境条件下的海面结构、时间行为和光谱差异。这些数据对于馈送检测算法和评估沿海环境中传感器性能的性能模型至关重要。讨论了一些应用于IRST系统的传感器管理方法。
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IRST infrared background analysis of bay environments
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. Some sensor management approaches for application in IRST systems is discussed.
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