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ENVI Deep Learning 2.0 Release Notes

ENVI Deep Learning 2.0 Release Notes

10/17/2022

Refer to the Deep Learning Help for instructions on using the tools and API. Access the help by selecting Help > Contents from the ENVI menu bar. Then click "ENVI Deep Learning" in the table of contents on the left side of the help page.   System Requirements   ENVI Deep Learning 2.0 uses TensorFlow version... Read More >

What's New in ENVI Deep Learning 1.2

What's New in ENVI Deep Learning 1.2

1/11/2022

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... Read More >

Create Accurate Image Classification Products to Aid Disaster Response Efforts

Create Accurate Image Classification Products to Aid Disaster Response Efforts

9/22/2020

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. Once UAV... Read More >

ENVI Deep Learning 1.1 Release Notes

ENVI Deep Learning 1.1 Release Notes

4/10/2020

ENVI Deep Learning 1.1 contains many exciting improvements to improve usability and training. See the following sections: System Requirements What's New in This Release Fixed Issues System Requirements Refer to the System Requirements topic on the Harris Geospatial Solutions Documentation Center. What's New in This... Read More >

Introducing the ENVI Deep Learning Module

Introducing the ENVI Deep Learning Module

3/26/2019

“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... Read More >

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