Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

Unlocking Critical Insights With ENVI® Tools Taiwan sits at the junction of major tectonic plates and regularly experiences powerful earthquakes. Understanding how the ground moves during these events is essential for disaster preparedness, public safety, and building community resilience. But traditional approaches like field... Read More >

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

12/3/2025

Large commercial SAR satellite constellations have opened a new era for persistent Earth monitoring, giving analysts the ability to move beyond simple two-image comparisons into robust time series analysis. By acquiring SAR data with near-identical geometry every 24 hours, Ground Track Repeat (GTR) missions minimize geometric decorrelation,... Read More >

Empowering D&I Analysts to Maximize the Value of SAR

12/1/2025

Defense and intelligence (D&I) analysts rely on high-resolution imagery with frequent revisit times to effectively monitor operational areas. While optical imagery is valuable, it faces limitations from cloud cover, smoke, and in some cases, infrequent revisit times. These challenges can hinder timely and accurate data collection and... Read More >

Easily Share Workflows With the Analytics Repository

10/27/2025

With the recent release of ENVI® 6.2 and the Analytics Repository, it’s now easier than ever to create and share image processing workflows across your organization. With that in mind, we wrote this blog to: Introduce the Analytics Repository Describe how you can use ENVI’s interactive workflows to... Read More >

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... Read More >

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Newer! Faster! Easier! ENVI 5 Feature Extraction!

Anonym Tuesday, May 1, 2012

One of my favorite features that has been added to ENVI in the past several years is the Feature Extraction workflow. That tool segments an input image into polygonal objects, then classifies those objects into categories using the spatial, spectral, and/or texture attributes that it calculates for each object.

So, what I’m most excited for in the new ENVI 5 release are some improvements that will make the Feature Extraction workflow even better. For one thing, new high-speed multi-threaded processing makes the performance much faster. Anyone else who has waited a couple of days for the processing on a large image to finish will understand my enthusiasm for this change. I’m told that in some cases, the segmentation can be many times faster than it is in ENVI 4.8. That’s pretty impressive, and very welcome.

Also, I really like the changes to the interface, which place the segmentation and merge parameters, as well as some other preprocessing parameters, on the same initial dialog. This change means that you can play around with interactions of the various parameters, checking out the results in the instant preview. Then when you’ve figured out the optimal settings, you can run the segmentation and merge steps all in one shot. That is going to save me a bundle of time right there.

Finally, it’s also now possible to output some intermediate steps, such as the attribute images. Those images contain a whole lot of information, and I can imagine that people will come up with all kinds of alternate ways of using them outside of the rest of ENVI’s Feature Extraction workflow. As long as I have your attention, I also want to mention that the Exelis VIS Tech Support team has been working hard writing Help Articles to help people find answers to ENVI 5 questions that we think may be common. So, if you run into any specific technical questions about ENVI 5, you might try checking the Help Article database, to see if your question has already been answered.