Introduction to Multivariate Image Analysis (MIA)
For scientists moving from spectroscopy to hyperspectral imaging and want to make the most of it!
This introductory course to Multivariate Image Analysis (MIA) is designed to give the student practical experience, based on the MIA Matlab toolbox from Eigenvector, Inc.
The course will start with a brief review of principal components analysis (PCA) and partial least squares (PLS) regression and how they are used in image analysis.
Additional topics to be covered included multivariate image regression, and reprocessing to capture textural information. Methods to mitigate the effects of background interference, e.g. clutter, will be also discussed.
For more information about this course, click here. |
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