Machine Learning & Deep Learning for Geospatial Uses

Understanding and Using Machine & Deep Learning Operators

With the exponential growth of the number of images (and radar data, and point clouds, and…) we are collecting, we must answer this question: how are we going to make sense of all of this data? And even before making sense of it, how do we tell what needs further attention and what can be archived for later?

Machine and Deep Learning can ingest the massive amounts of geospatial imagery collected every day and winnow it down to just the mission-critical data that needs to be interpreted by specialists. But what is the difference between Machine Learning and Deep Learning?

Read more about these trends in geospatial data processing and how you can use Machine and Deep Learning to perform the heavy lifting for your data.



You can refine your preference settings here. The use of your personal data is subject to Hexagon Geospatial Privacy Policy. By submitting this form, you agree to Hexagon Geospatial Terms of Use.