In this workshop, machine and deep learning image classification (semantic segmentation) using ArcGIS Pro will be demonstrated. Participants will learn how to (1) conduct pixel- and object-based image classification using traditional (Support Vector Machine and Random Forests) machine learning algorithms; (2) build models for data preparation and experiment with different classification parameters; (3) use the Unet deep learning architecture for image segmentation (classification). Necessary theory background will be introduced in addition to step-by-step implementation using high resolution drone imagery. Participants are advised to have access to the ArcGIS Pro software through an active license or trial version.

Agenda: 10:00-10:30 Welcome/Introduction and attendee application discussion

10:30-12:30 Machine Learning using ArcGIS Pro

12:30-1:00 Break/Lunch

1:00-3:00 Deep Learning in ArcGIS Pro

3:00-3:30 Discussion of attendee’s applications

Additional information: Participants will be sent instructions to prepare for the workshop by email to download all necessary materials before the workshop.

Seats available: 20, but with a wait list/email list for future offerings