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Method and system for detecting targets known up to a simplex from multi-spectral and hyper-spectral imagery employing the normal compositional model
Method and system for detecting targets known up to a simplex from multi-spectral and hyper-spectral imagery employing the normal compositional model
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机译:使用常规构图模型从多光谱和高光谱图像中检测已知至单纯形的目标的方法和系统
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摘要
A method for detecting targets comprises: a) receiving spectral data; b) using a normal compositional model for estimating background parameters from the spectral data and target components; c) estimating abundance values of classes of the normal compositional model from the background parameters and the spectral data; d) estimating target class covariance values from the spectral data, the background parameters, and the target components; e) estimating target-plus-background abundance values from the target class covariance values, the background parameters, the spectral data, and the target components; f) employing a normal compositional model for determining a likelihood ratio detection statistic from the target class covariance values, target-plus-background abundance values, spectral data, target components, background parameters, and background abundance values; and g) generating a determination output signal that represents whether an observation includes a target from the likelihood ratio detection statistic.
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