Software

Zip'ed Matlab code to do multivariate alteration detection (MAD) analysis, maximum autocorrelation factor (MAF) analysis, canonical correlation analysis (CCA) and principal component analysis (PCA) on multivariate image data can be obtained here. Versions supporting ENVI or ENVI-like header files including code for the iteratively reweighted (IR-MAD) method, are available also zip'ed. The MAD method was developed by Knut Conradsen and myself, see also our original MAD paper (with James J. Simpson, University of California San Diego) and my IR-MAD paper on an iterated extension to the original method. Come back and check for new versions from time to time (last update 5 Nov 2008; code for non-header versions is not updated anymore). If you use this software do not forget to acknowledge the source. Comments especially on blunders in the code are most welcome.

Mort Canty of FZ Jülich, Germany, has written several extensions for the ENVI remote sensing environment in IDL, including MAD change detection and automatic radiometric normalization using MAD. The software is freely available on his home page and is described in his textbook Image Analysis, Classification and Change Detection in Remote Sensing, With Algorithms for ENVI/IDL, Taylor & Francis, CRC Press, 2007.

Both Mort's and my software are written partly within GMOSS, Global MOnitoring for Stability and Security, a Network of Excellence in the Aeronautics and Space Priority of the Sixth Framework Programme of the European Union.

I have written a few computer programs myself, and I have initiated and/or influenced work resulting in a number of programs written by colleagues, Ph.D. students and M.Sc. students. These programs center around statistics, multivariate analysis, spatial (geostatistical) data analysis, and hyper-spectral (remote sensing) tools. In several programs the data may be sampled on a regular grid as well as irregularly. The most important ones are listed alphabetically below (with co-workers/program authors mentioned).

• a2h - `rectangular' ASCII data to IMM defined irregular HIPS format
• bil - band-interleave by line to IMM defined HIPS BIL format (Rasmus Larsen)
• bioopt - bio-optical modelling by the matrix inversion method
• bip - band-interleave by pixel to IMM defined HIPS BIP format
• boxcox - calculate Box-Cox transformation
• cancorr - canonical correlations analysis (Anders Rosholm)
• cem - constrained energy minimisation (CEM), also known as matched filtering
• chi2 - read chi square test statistic and output significance level
• cloude - Cloude/Pottier decomposition of complex polarimetric radar signal
• cokrig - 2-D cokriging estimation of irregularly sampled data (Karsten Hartelius)
• cov2corr - calculate correlation matrix from variance/covariance matrix
• crosstab - contingency table (or crosstabulation) analysis
• crossv - calculate traditional 1- and 2-D cross-semivariograms, cross-covariance and cova functions of irregularly spaced data (Karsten Hartelius)
• crossv2d - calculate various types of (1- and) 2-D cross-semivariograms, cross-covariance and cova functions of irregularly spaced data
• decorr - RGB to principal components, stretch PCs, PCs to RGB
• disc - pixelwise, hierarchical and contextual classification with feature selection (Rasmus Larsen)
• distdisp - calculate distance between two variance/covariance matrices
• eqdisp - Wishart test for equal dispersion matrices
• eqmeandisp - Wishart based test for simultaneous equal means and dispersion matrices
• fuzzy - fuzzy c-means spectral and spatial cluster analysis (Klaus Baggesen Hilger and Dan Rasmussen)
• gamv2h - HIPS driver for calculation of cross-semivariograms and cross-covariance functions with GSLIB's gamv2
• histobe - histogram match to beta distribution
• ihs2rgb - transform a 3-frame sequence from IHS to RGB (Rasmus Larsen)
• ihsdecorr - RGB to IHS, stretch S, IHS to RGB
• imaging - statistical image analysis for Microsoft Windows (Johan Doré Hansen and Rasmus Larsen)
• kcca - kernel canonical correlation analysis
• kcem - kernel constrained energy minimization (CEM)
• kmnf - kernel MAF and MNF analysis
• kpca - kernel principal component analysis (PCA)
• ktcimf - kernel target constrained interference minimization filter (TCIMF)
• krig - 2-D (simple, ordinary or universal) kriging estimation of irregularly spaced data (Henrik Juul Hansen)
• ktb3dh - HIPS driver for 2- or 3-D (simple, ordinary or universal) kriging estimation of irregularly spaced data with GSLIB's ktb3d
• location - make location map of IMM defined irregular HIPS data
• logres - logarithmic and supremum residuals (Rasmus Larsen)
• maf - perform a wide range of multivariate orthogonal transformations such as principal component, MAF, MNF, canonical analyses, etc. (Rasmus Larsen);
• musecc - multiset canonical correlations analysis
• nndif - replace value with difference with nearest neighbour in irregularly spaced data
• osp - orthogonal subspace projection
• owaov - one-way analysis of variance
• pls - partial least squares (PLS) regression
• project - project data in hyper-dimensional feature space onto a vector
• regcovmat - regularise class dispersion matrices
• rgb2ihs - transform multiples of three frames from RGB to IHS
• rankcorr - calculate linear and rank correlations
• roprc - robust principal components analysis (Rasmus Larsen)
• saturate - saturate, standardize and stretch linearly
• simplestats - simple statistics, 1st, 2nd, 3rd and 4th order moments
• seed - growing of trainingsets for classification (Rasmus Larsen and Johan Doré Hansen)
• semivarmodel - estimate semivariogram model based on experimental semivariogram
• sep2dfilter - calculate whether a 2-D filter is separable and if so, separate
• sigma_n - estimate noise covariance matrix of irregularly spaced data (Karsten Hartelius)
• spam - spectral angle mapper
• specang - spectral angle change detection
• standard - standardize float image to desired mean and stddev
• tcimf - target constrained interference minimization filter (TCIMF)
• unmix - full and partial spectral unmixing
• wallis - Wallis filter (Nette Schultz)
• wavetr - 1-D, 2-D or 3-D wavelet transformation
• wishart - test for equality in two comlex polarimetric radar signals (can be used to carry out change detection in polarimetric SAR data)

Other programs that relate to this type of (exploratory) data analysis written by colleagues and students comprise

• epp - exploratory projection pursuit (Kristian Windfeld)
• grandtour - grand tour (Kristian Windfeld)
• acecancor - non-linear canonical correlations analysis via ACE (Kristian Windfeld)
• glcm - gray level cooccurrence matrices (J. Michael Carstensen)
• lintrans - linear/affine transformations of multivariate data (Rasmus Larsen)
• mace - non-linear multiset canonical correlations analysis via ACE (Klaus Baggesen Hilger)

With J. Michael Carstensen I maintain a collection of IMM written programs for analysis of spatial and image data. The programs come in two groups, one of which is freely distributed. All programs run under UNIX and comply with the HIPS image format (Michael Landy). HIPS comes with source code and is very open and easily extended with your own software.

List of freely distributed HIPS programs from the IMM Section for Image Analysis. (These programs are good with HIPS only and they are distributed with HIPS at the time of purchase.)

List of other HIPS programs from the IMM Section for Image Analysis.

See my homepage.