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Hyperspectral analysis of IR data from a background scene

机译:来自背景场景的红外数据的高光谱分析

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The Swedish Defence Research Agency (FOI) has performed systematic measurements on a background scene over a period of one year, and established an IR-background database. It has, and will, be used for a wide range of applications and provide a basis for the modeling of IR-background properties of Swedish terrain. The database consists of traditional IR images and hyperspectral IR images, as well as weather data from the measurements. The major part of this paper describes the analysis of the hyperspectral data that was collected with the FTIR based ScanSpec system. In this paper the degree of greybody behavior from objects in the background have been studied in the LWIR and MWIR spectral regions. The analysis has been performed for seven different surfaces of the scene for different times of the day and different days of the year. The paper describes the method of the analysis, some results and attempts to find explanations to the observed phenomena. It is found that the background mainly behaves as greybodies and that the most important reason for deviations is the reflected sunlight. Among the studied surfaces asphalt shows the most obvious deviation from greybody behavior.
机译:瑞典国防研究局(FOI)在一年的时间内对背景场景进行了系统的测量,并建立了IR背景数据库。它已经并且将被广泛应用,并为瑞典地形的红外背景特性建模提供基础。该数据库由传统的红外图像和高光谱红外图像以及来自测量的天气数据组成。本文的主要部分描述了使用基于FTIR的ScanSpec系统收集的高光谱数据的分析。在本文中,研究了在LWIR和MWIR光谱区域中背景物体的灰体行为程度。已针对一天中的不同时间和一年中的不同天对场景的七个不同表面执行了分析。本文介绍了分析方法,一些结果并试图找到对观察到的现象的解释。发现背景主要表现为灰体,并且偏离的最重要原因是反射的阳光。在研究的表面中,沥青显示出与灰体行为最明显的偏差。

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