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Solve Geospatial Problems with Deep Learning

The world around us is constantly changing and so too are the tools and data that we use to solve problems and make critical business decisions. With the emergence of deep learning, it has never been easier to generate insights and streamline the decision-making process. Watch this webinar to see how the ENVI Deep Learning module is currently being used for environmental, natural resource, and disaster response applications.

In this webinar, Zach Norman, Product Manager at L3Harris Geospatial, discusses:

Applications of deep learning for:

  • Environmental – analyze land use/land cover
  • Change detection – use deep learning to monitor how the world around us changes
  • Disaster response – automate damage detection after natural disasters

How to use ENVI Deep Learning

  • Getting started – no programming required
  • Easily manage training data
  • Automate the training process and quickly retrain with new data

Download presentation slide deck

For ENVI Deep Learning tutorials, visit:
https://www.harrisgeospatial.com/docs/deep_learning_Introduction.html

For a nice starting point using IDL to automate training, take a look at this example:
https://www.harrisgeospatial.com/docs/envitraintensorflowmaskmodeltask.html

 

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