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Earth & Ocean Image Processing Made Easy with MATLAB – Lunch and Learn
May 17, 2023 @ 12:00 pm - 1:30 pm
In our continued collaboration with UCSD, we are pleased to announce our spring seminar topic! Join us for a lunch-n-learn technical seminar from our MathWorks team on image processing with MATLAB! MathWorks is looking to create a connection point for conversations about the landscape of computational languages – and the broader impact that software has in academia and industry today.
Bring your questions about the landscape of computational tools and topics such as managing data, climate change, image processing, and more! This session will also include a section on career paths for engineers and scientists – our engineers will share a bit about their personal education and career trajectory – and what technical skills can support your own career paths!
Follow this link to register as seats are limited! Lunch will be provided.
Earth & Ocean Image Processing Made Easy with MATLAB
There is a very rich and sophisticated ecosystem today for advanced image processing, ranging from complex computer vision techniques to AI/machine learning applications. MATLAB is a popular tool used by research and development engineers in many imaging applications. It’s used for a variety of tasks from analyzing, enhancing, and visualizing images to developing advanced imaging algorithms deployed on PCs, embedded systems, and the cloud.
This session explores the basics of pixel-level image processing and high-level machine learning models in MATLAB for images. Some of the tasks we will work through include:
- Importing various image and Landsat files
- New Apps in MATLAB for Imaging: Introduction to apps and features to simplify image dataexploration, processing, visualization, and algorithm development
- Basics of machine learning models for image classification
- Process, analyze data, and map data, creating .shp (GIS) files and publication-ready figures.
Presented by: Laura Sammon
Laura is a Customer Success Engineer at MathWorks. She supports teaching and research across science and engineering disciplines, specializing in coding applications for Earth and ocean science. Laura earned her Ph.D. in Geology from the University of Maryland where she studied the composition of Earth’s crust and interior through geochemical and geophysical data.