Let’s say you need to generate a large-scale information product. Maybe an impervious surface map or land use/land cover map. You’ll need high-powered analytics, access to data, and the computing power to chew through it all. But it’s a short term project that will wrap up in a month, maybe two.
CloudEO and Harris have partnered to offer ENVI in the Cloud; a cloud-deployed version of desktop ENVI. Just log-in and start working – it’s that easy!
Wondering how you can use machine learning, and more specifically deep learning technologies, to get a jump on the competition? This webinar will provide a brief, high-level overview of machine learning and its applications before delving into Harris’ five year head start developing deep learning technologies that are being deployed today. Harris has applied…
Let’s say you need to generate a large-scale information product. Maybe an impervious surface map or...
Wondering how you can use machine learning, and more specifically deep learning technologies, to get a...
Author: Abby Lehman/Wednesday, May 28, 2014/Categories: Webinars, IDL Webinar, ENVI Webinar
In this webinar, we'll take a look at the ENVI LiDAR user interface to become familiar with out-of-the box functionality. We will also review custom extensions for ENVI LiDAR, developed in IDL. A big advantage of ENVI LiDAR is its extensibility with IDL, opening a world of potential for custom LiDAR analytics. We will cover the following topics:
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