% Matlab Hyperspectral Toolbox % Copyright 2008-2012 Isaac Gerg % % ------------------------------------------------------------------------- % A Note on Notation % Hyperspectral data is often expressed many ways to better describe the % mathematical handling of the data; mainly as a vector of pixels when % referring to the data in a space or a matrix of pixels when referring to % data as an image. % ------------------------------------------------------------------------- % Dependencies % FastICA - http://www.cis.hut.fi/projects/ica/fastica/code/dlcode.shtml % % ------------------------------------------------------------------------- % Functions % % Reading/Writing Data Files % hyperReadAvirisRfl - Reads AVIRIS .rfl files % hyperReadAvirisSpc - Read AVIRIS .spc files % hyperReadAsd - Reads ASD Fieldspec files. (.asd, .000, etc) % % Data Formatting % hyperConvert2D - Converts data from a 3D HSI data cube to a 2D matrix % hyperConvert3D - Converts data from a 2D matrix to a 3D HSI data cube % hyperNormalize - Normalizes data to be in range of [0,1] % hyperConvert2Jet - Converts a 2D matrix to jet colormap values % hyperResample - Resamples hyperspectral data to new wavelength set % % Unmixing % hyperAtgp - ATGP algorithm % hyperIcaEea - ICA-Endmember Extraction Algorithm % hyperIcaComponentScores - Computes ICA component scores for relevance % hyperVca - Vertex Component Analysis % hyperPPI - Pixel Purity Index % % Target Detection % hyperACE - Adaptive cosine/coherent estimator % hyperGLRT - Generalized liklihood ratio test % hyperHUD - Hybrid instructured detector % hyperAMSD - Adaptive matched subspace detector % hyperMatchedFilter - Matched filter % hyperOsp - Orthogonal subspace projection % hyperCem - Constrained energy minimization % hyperPlmf - PCA local matched filter % hyperRmf - Regularized match filter % % Material Count Estimation % hyperHfcVd - Computes virtual dimensionality (VD) using HFC method % %

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