% Matlab Hyperspectral Toolbox
% Copyright 2008-2012 Isaac Gerg
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% 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.
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% Dependencies
% FastICA - http://www.cis.hut.fi/projects/ica/fastica/code/dlcode.shtml
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% Functions
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% Reading/Writing Data Files
% hyperReadAvirisRfl - Reads AVIRIS .rfl files
% hyperReadAvirisSpc - Read AVIRIS .spc files
% hyperReadAsd - Reads ASD Fieldspec files. (.asd, .000, etc)
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% 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
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% Unmixing
% hyperAtgp - ATGP algorithm
% hyperIcaEea - ICA-Endmember Extraction Algorithm
% hyperIcaComponentScores - Computes ICA component scores for relevance
% hyperVca - Vertex Component Analysis
% hyperPPI - Pixel Purity Index
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% 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
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% Material Count Estimation
% hyperHfcVd - Computes virtual dimensionality (VD) using HFC method
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