Brett Shoelson, MathWorks
This session provides an overview of using MATLAB for geospatial image and data analysis. Using imagery acquired from USGS Web Services, we will demonstrate the development and application of an algorithm to quantify from aerial imagery the portion of land under irrigation.
This session is intended for anyone interested in using MATLAB to analyze geospatially-oriented data.
Highlights include:
Additionally, we will demonstrate the registration of aerial images and the positioning of cellular towers to optimize coverage.
Highlights include:
About the Presenter: Brett holds a B.A. degree in anthropology from the University of Florida, a B.S. in biomedical engineering from Mercer University (Macon, GA), and an M.S. and Ph.D. in biomedical engineering from Tulane University. Following his doctoral work, he did post-doctoral research at Harvard Medical School, and spent five years doing research at the National Institutes of Health. The 13 years prior to his employment at The MathWorks were spent focused on process automation with MATLAB (with a strong focus on medical image processing) in the biomedical arena. He started working for MathWorks in 2005.
Recorded: 25 Oct 2013
Featured Product
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
Select web siteYou can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
This website uses cookies to improve your user experience, personalize content and ads, and analyze website traffic. By continuing to use this website, you consent to our use of cookies. Please see our Privacy Policy to learn more about cookies and how to change your settings.