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Signal subspace identification provides a performance improvement in hyperspectral applications, such as target detection, spectral unmixing, and classification. The HySime method is a well-known unsupervised approach for hyperspectral signal subspace identification. It computes the estimated noise and signal correlation matrices from which a subset of eigenvectors is selected to best represent the...
A method to quantify clutter in color images is presented. This method is based on a grayscale clutter metric, target structure similarity (TSSIM) metric, which showed the best correlation with human perception than the other available metrics. The proposed new metric is designed to measure the background clutter in the perceptually decorrelated quasi-uniform color space of CIELAB. The TSSIM metric...
By adding the mechanism of temporal integration and internal noise into the framework of the previous proposed basic objective discrimination model (ODM), a modified ODM for triangle orientation discrimination threshold measurements is achieved. Validation experiments results show that the performance curves of the modified ODM fit those of the civilian observers well. The correlation coefficients...
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