ENVI® Deep Learning is a commercial, off-the-shelf solution specifically designed to create deep learning models for remotely sensed imagery. The ENVI Deep Learning module removes barriers and makes it easy to use deep learning with geospatial data.

The latest release of ENVI Deep Learning adds a brand new type of deep learning: object detection. Watch this recorded webinar to see how you can easily create object detection models and some of the other new features that have been added.

After a disaster, it is incredibly important to quickly generate accurate, actionable maps to aid response and rebuilding efforts. The more officials know about impacted areas, the more effective their response. Because UAVs can be quickly deployed, responders frequently use them to collect high-resolution imagery of affected areas.

“Machine learning” is a hot topic right now. And, while many people would like to use machine learning to help solve geospatial problems, they can’t. That is because just about all machine learning technologies requires programming, aren’t designed for geospatial imagery, require many “labels” to build classifiers, and don’t come with support when issues arise. To combat these and other issues, Harris Geospatial has developed the ENVI Deep Learning module.