We will give a brief tutorial on machine learning methods in remote
sensing. The focus will be on newer Deep Learning (Convolutional Neural
Network) techniques, doing semantic segmentation with a UNet model. Not
sure what all that means, no problem, and no installation, you’ll do it
all on the cloud with Python and Tensorflow in Jupyter Notebooks and the
freemium Google Colab platform.
Learner Objectives: Understand how to apply Convolutional Neural Network techniques to remote sensing data.
Prerequisites: Previous experience with Python programming, Jupyter Notebooks, or
classifying remotely sensed images will be helpful but is not required.
Participants should plan to have the following for the workshop:
- Participants will need a Google account (Gmail, UC Davis or other
Google Login) and a web browser. We will use Google Colab to run the
examples in python notebooks, try logging in with your Google Account https://colab.research.google.com
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