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Webinar EVRI-thing You Need to Know about Hyperspectral Image Analysis with PCA

Oct 3, 2019
Eigenvector President, Barry M. Wise will break down everything you need to know about Hyperspectral Image Analysis with Principal Components Analysis (PCA).
  •  A brief review of sources of multivariate images and tools for viewing and investigating them
  • EVRI-Thing You Need to Know about Hyperspectral Image Analysis with PCA
  • An opportunity to ask questions of our world renowned EVRI staff, providing 100+ years experience with Multivariate Analysis

Table of Contents

00:00 – Outline and Introduction

02:00 – Multivariate/Hyperspectral Images

04:06 – Principal Component Analysis

07:57 – MIA_Toolbox and Solo+MIA

09:10 – Browser and Analysis Interfaces

10:50 – Example: Swedish Knackebrod

23:15 – Example: Excedrin

33:16 – Summary

Try it yourself. Get a free demo of Solo (or PLS_Toolbox) from https://www.software.eigenvector.com/toolbox/download/  (Free account creation required)