| Introduction to Hyperspectral Image Analysis |
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Intro to Hyperspectral Image Analysis is designed to give the participant practical experience. Before the course, participants will be sent a precourse reading assignment covering some of the basic background and principles of HIA. 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 preprocessing to capture textural information. Methods to mitigate the effects of background interference, e.g. clutter, will also be discussed. The course includes hands-on computer time for participants to work example problems using PLS_Toolbox, MIA_Toolbox, and MATLAB.
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| Speaker: Barry M. Wise, Ph.D. (Eigenvector Research) |
| Venue: proWissen Potsdam e. V. Room 1 |