Target detection in hyperspectral mineral data using wavelet analysis


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

1 Figure or Table


  • Presentations referencing similar topics