ENVI 6.2

Description

ENVI 6.2

ENVI 6.2: Advanced Geospatial Image Analysis Software

ENVI 6.2 is the latest version of NV5 Geospatial's industry-leading remote sensing and image analysis software, designed for extracting meaningful information from geospatial imagery. Released in August 2025, this version introduces the ENVI Repository for collaborative workflows, significant performance enhancements, expanded data format support, and refined spectral analysis tools .

Key New Features in ENVI 6.2

ENVI Repository for Collaborative Workflows

  • Cross-Platform Server: New ENVI Repository enables automated management of file dependencies across multiple machines, including deep learning models, custom tasks with associated code, and spectral libraries

  • Simplified Sharing: Files can be uploaded (published) from the Share menu in ENVI Modeler or main menu; dependencies are automatically downloaded and placed in accessible locations without conflict

  • Workflow Distribution: Create and share reusable image processing workflows across organizations—ideal for remote sensing experts enabling teammates to leverage their expertise

  • Install & Run: Team members can install published workflows directly from the Repository Browser and run them against their own data

Spectral Detection and Classification Enhancements

  • 2-4x Faster Processing: Spectral detection and classification algorithms have been refactored, delivering 2 to 4 times faster processing speed

  • Covariance Regularization: New regularization options added to tasks requiring covariance transform, improving spectral detection accuracy by suppressing noise and clutter for better signal-to-noise ratio

  • Updated Algorithms: Multiple tasks now include covariance regularization parameters:

    • Constrained Energy Minimization, Mahalanobis Distance Classification, Matched Filter

    • Maximum Likelihood Classification, Mixture Tuned Matched Filter

    • Spectral Adaptive Coherence Estimator, Target Constrained Interference Minimized Filter


 

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