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Anomaly detection using simulated MTI data cubes derived form HYDICE data

机译:使用从HYDICE数据派生的模拟MTI数据立方体进行异常检测

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Abstract: In this work we quantify the separability between specific materials and the natural background by applying receiver operating curve (ROC) analysis to the residual errors from a linear unmixing. We apply the ROC analysis to quantify performance of the multi-spectral thermal imager (MTI). We describe the MTI imager and simulate its data by filtering HYDICE hyperspectral imagery both spatially and spectrally and by introducing atmospheric effects corresponding to the MIT satellite altitude. We compare and contrast the individual effects on performance of spectral resolution, spatial resolution, atmospheric corrections, and varying atmospheric conditions. !8
机译:摘要:在这项工作中,我们通过将接收器操作曲线(ROC)分析应用于来自线性解密的剩余误差来量化特定材料和自然背景之间的可分离性。我们应用ROC分析来量化多光谱热成像仪(MTI)的性能。我们描述了MTI成像仪,并通过在空间和光谱和光谱上过滤水平超细图像,并通过引入对应于麻省理工学院卫星高度的大气效果来模拟其数据。我们比较和对比各个效应对光谱分辨率,空间分辨率,大气校正和不同大气条件的性能。 !8

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