Target detection in hyperspectral mineral data using wavelet analysis

Abstract

A method for the automatic supervised detection of multiple mineral targets in hyperspectral mineral data is presented in this paper. The method makes use of wavelet analysis, wavelet-based denoising using thresholding of wavelet detail coefficients, and feature reduction based on sequential forward selection, which utilises an extension of receiver… (More)
DOI: 10.1109/IGARSS.2009.5417518

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