ASPRS 2021 Workshop: UNet Deep Learning Image Classification using the ArcGIS Pro Image Analyst Extension

Instructor(s)

Amr Abd-Elrahman, University of Florida

This workshop introduces:

• Pixel- and object-based image classification using traditional (Support Vector Machine and Random Forests) machine learning algorithms
• Building models for data preparation and experiment with different classification parameters
• Deep learning semantic segmentation using the UNet Model applied on wetland land cover classification
• Participants will be briefly introduced to necessary theoretical background information as well as practical implementation. The workshop will present a complete workflow with clear implementation instructions.

Outline:

• Introduction to image classification concepts and machine learning algorithms
• Preparing training datasets for the UNet deep learning model
• Training the UNet Model
• Image classification and accuracy assessment using the UNet Model

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