Using UAV Imagery and Deep Learning for Wind Turbine Inspection

1/22/2018

In this webinar, we discuss: how to account for camera projection when shooting straight ahead rather than straight down; how deep learning technology can be applied to UAV imagery to automatically identify and locate abnormalities on wind turbine blades; and, how cutting-edge software tools... Read More >

What's New in ENVI 5.5

1/21/2018

ENVI 5.5 has some major new features and functionality that make it easier and faster to extract information from imagery. Attend this live webinar to learn about ENVI Modeler, ENVI integration with ArcGIS Pro, new data and sensor support, and more.

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Quickly Find, Process, and Generate Products from Landsat-8 Imagery

11/27/2017

Access to free data is one thing. Finding the right images, processing them and generating meaningful information from them is another. Watch this webinar to learn more about extracting critical information to develop leading geoanalytics products from Landsat-8 data.

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Ready, Set, Scale. Deep Learning for Defense Applications

11/2/2017

With a growing sense of urgency, the DoD recently accelerated its adoption of artificial intelligence, deep learning, and big data across operations. With a five-year, multi-million dollar head start, Harris is at the leading edge of automating and scaling processes for designing, training, and... Read More >

Topographic Mapping Anywhere

8/29/2017

High-resolution, mapping-grade, optical imaging satellites have been operating and orbiting the earth since 1999 after the launch of Ikonos. In 2008, when WorldView-1 became operational, the game changed further, with the ability to acquire stereo images more frequently and with more spatial... Read More >

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ENVI & ArcGIS Pro Integration (in 60 sec.)

2/21/2018

Connor McKissick (Solutions Engineer) covers the quick takes you need to know about the ENVI and ArcGIS... more »

Using Imagery to Detect Changes for Hard-to-Reach Locations

2/21/2018

Imagery is a vital tool for accessing a location when it is too unsafe or remote for people to inspect it.... more »

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