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红外与毫米波学报 2010
HYPERSPECTRAL ANOMALY DETECTION ALGORITHM BASED ON BACKGROUND RESIDUAL ERROR DATA
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Abstract:
In order to overcome the serious background interferences for small target detection of hyperspectral imagery,a nonlinear anomaly detection algorithm based on background residual error data was proposed.After the background endmembers were extracted,spectral unmixing technique was applied to all mixed spectral pixels to separate target information from complicated background clutter.Then,the unmixing residual error data that included abundant target information was mapped into a high-dimensional feature spa...