mu1 = [1 2]; Sigma1 = [2 0; 0 0.5]; mu2 = [-3 -5]; Sigma2 = [1 0;0 1]; rng(1); % For reproducibility X = [mvnrnd(mu1,Sigma1,1000); mvnrnd(mu2,Sigma2,1000)];
mu1 = [1 2]; Sigma1 = [2 0; 0 0.5]; mu2 = [-3 -5]; Sigma2 = [1 0;0 1]; rng(1); % For reproducibility X = [mvnrnd(mu1,Sigma1,1000); mvnrnd(mu2,Sigma2,1000)];
Key benefitsEasy to use - Get results on your own images in minutesPowerful automatic classification and regression without programming or machine learning expertiseWorks with data from any spectral sensorBatch process multiple cubes and export your results as images, data sets and Excel tablesReal-time deployment of solutions in custom applications with easy-to-integrate runtimenew! Tightly integ
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