SEARCHHyperspectral Image Analysis
May 27, 2020 - May 28, 2020
The recorded version of this course is now available in our EigenU Recorded Courses area.
Eigenvector Research, Inc. is pleased to announce Hyperspectral Image Analysis, a live webinar-based short course. Hyperspectral images are created by many analytical techniques including Secondary Ion Mass Spectrometry (SIMS), Raman and IR imaging, stand-off sensing, satellite imaging, etc. This course introduces hyperspectral images and shows how to organize, view, explore and model them.
Complete information about the course can be found by following the links below.
- Target Audience
- Course Description
- About the Instructors
- Course Fee
- Registration, Deadlines and Cancellations
- Schedule
Target Audience
Hyperspectral Image Analysis is aimed at engineers, chemists and other scientists who explore and model hyperspectral image data including development of classification models and predictive models. It is applicable to a wide array of areas including
- Process Analysis, e.g. in the pharmaceutical, food and beverage, and process industries.
- Analytical Chemistry, e.g. QC labs, forensic investigations, etc.
- Standoff and Remote Sensing
- Sensory and Consumer Science
- Particle and Texture Monitoring
- Any field that produces multivariate images
The course serves individuals who need to develop qualitative or quantitative models on image data. It includes sections on hyperspectral image viewing, particle and texture analysis, Principal Components Analysis (PCA) on images, Multivariate Curve Resolution (MCR) and chemical maps, classification on images with SIMCA and Partial Least Squares Discriminant Analysis (PLS-DA), as well as some alternative methods. No prior knowledge is required for this course, although some knowledge of elementary linear algebra and basic chemometrics methods (PCA, PLS), is useful.
Course Description
This course will be delivered via WebEx webinar in two segments of three and a half hours each. The course material is based on our popular Eigenvector University Introduction to Hyperspectral/Multivariate Image Analysis course. Please refer to it for a complete description and course outline.
The course will include several follow-along examples and homework problems. In order to take advantage of these, participants should equip their computers with current versions of our MATLAB based software PLS_Toolbox and MIA_Toolbox. Alternately participants can use our stand-alone Solo+MIA software (available for Windows, MacOS and Linux). Demo copies will work just fine. Users with Eigenvector accounts can download free demos. If you don’t have an account, start by creating one.
About the Instructors
The course will be led by Eigenvector President and PLS_Toolbox creator Barry M. Wise. He will be assisted by members of the Eigenvector scientific and software development team. Dr. Wise and the Eigenvector staff have delivered over 200 chemometrics courses at scientific conferences, on-site for companies and at our popular Eigenvector University each year in Seattle.
Course Fee
Eigenvector Research is pleased to offer this course at a special reduced “COVID-19 Lockdown” price. Prices include instruction, course materials (provided in advance in .pdf format) and a certificate of completion.
Prices shown are shown below. Payment must be received by 5pm PDT, Tuesday, May 26, 2020.
|
Regular
|
Academic
|
|
| Hyperspectral Image Analysis |
$395
|
$125
|
Note: Payment must be received by 5pm PDT, Tuesday, May 26, 2020. Credit card orders are strongly encouraged. Acceptable forms of payment include MasterCard, VISA, American Express, and checks drawn on a US bank. Wire transfers can also be arranged.
Academic discount: University students and faculty are eligible for the academic rate. Verification of University affiliation is required by providing valid university mailing and e-mail address. Note that we define academic as “degree granting institution.”
How to Register, Deadlines and Cancellations
To register, login to your Eigenvector account, or create an account, then select the class you would like to attend. You can pay directly with your MasterCard, VISA or American Express using our secure credit card processing. You may ask to be invoiced, however, Payments must be received by 5pm PDT, Tuesday, May 26, 2020.
Complete refunds will be made for cancellations prior to May 25, 2020. No refunds will be made for cancellations after that date, however, substitutions are gladly accepted.
Schedule
Daily Schedule, Pacific Daylight Time (PDT)
06:45 – 07:00 WebEx available for login
07:00 – 08:00 Instruction
08:00 – 08:10 Coffee Break
08:10 – 09:10 Instruction
09:10 – 09:20 Coffee Break
09:20 – 10:20 Instruction
10:20 – 10:30 Wrap-up and questions