ENVI® Deep Learning

L3Harris Geospatial* has developed commercial off-the-shelf deep learning technology that is specifically designed to work with remotely sensed imagery to solve geospatial problems. The ENVI Deep Learning module removes the barriers to performing deep learning with geospatial data and is currently being used to solve problems in agriculture, utilities, transportation, defense and other industries.

No Programming Required

Not everyone is a deep learning expert and the ENVI Deep Learning module was developed with this in mind. The module has intuitive tools and workflows that don’t require programming and enable users to easily label data and generate models with the click of a button.

Additionally, it is simple for seasoned imagery experts to fuse information layers such as spectral indices, elevation data or data transforms to create more robust classifiers.

Ensure Your Success with Deep Learning »

Accuracy Counts

Leverage the power of Geospatial Deep Learning

ENVI is the leading image analysis software on the market and its science-based analytics are accurate and reliable for extracting meaningful information from all types of geospatial imagery and data. ENVI’s preprocessing tools such as calibration, atmospheric correction and color space transforms create consistent input data for deep learning models. With deep learning technology built on TensorFlow, a leading open source library, you can create reliable models for image classification.

TIMELY TOPICS


SEE ENVI® DEEP LEARNING IN ACTION

Deep Learning Blog Post

SHORT DEMO VIDEO

Real-time, actionable intelligence to relief organizations.

FREE ENVI DEEP LEARNING FAST START

LIMITED TIME OFFER

Get a jump start to successfully use the ENVI Deep Learning module.

 

INTRODUCING ENVI DEEP LEARNING MODULE

ENVI Deep Leraning webinar

RECORDED WEBINAR

Learn about our ENVI Deep Learning module and its benefits over other machine learning technologies.

 

RELATED CONTENT


  Deep Learning Data Sheet (pdf)

  Deep Learning Whitepaper

  View Related Blog Posts

 

How Can We Help?

ENVI Deep Learning at Work

The ENVI Deep Learning module is offered as an extension to ENVI for desktop applications and is built on the ENVI Task framework. This means that classifiers can be built once and run in any environment, whether that’s your desktop computer, on-premises servers or in the cloud. To demonstrate how you can use this technology, here are a few real-world examples of customer problems that have been solved using the module.


Urban Growth

Utilities

The ENVI Deep Learning module makes it easy to assess the environment. The module was used to generate the landcover classification image below. When another image was generated the following year, traditional change detection workflows in ENVI were used to approximate the human impact on the environment and detect things like new buildings and well pads.

Agriculture

Agriculture

Using the ENVI Deep Learning module, the locations of current, and past, lava flows in Hawaii were identified. This information was used in ENVI to understand the environmental impact that the volcanic gasses had on local crops, which gave farmers insights for insurance claims and an ability to understand if crops are safe for human consumption.

Disaster Response

Disaster Response

When disasters strike, response time is very important. The ENVI Deep Learning module has been tuned so you don’t need thousands of samples to create models for finding features. After a recent hurricane, the module was used to quickly characterize different types of damage to buildings throughout the region ranging from partial to full destruction. First, a handful of small areas were labeled according to the extent of the damage. When the model was applied to the scene, the damaged buildings were automatically classified according to the extent of the damage they sustained.

Have a problem that deep learning might be able to solve?

Speak with us and let’s find a solution that meets your project requirements.

 
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