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Working with ENVI EX
This tutorial provides an introduction to basic concepts and key features of ENVI EX.
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Classification
This tutorial provides an introduction to using the Classification workflow in ENVI EX. You will perform an unsupervised and supervised classification, and you will learn how to clean up results and export classes to a raster and vector file.
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Using Vector, Annotation, and Feature Counting Tools
In this tutorial, you will use ENVI EX to display a multispectral image on which you will create new vector and annotation layers and add vector records and annotation items. You will also use the Feature Counting tool to mark features and view a feature report.
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Image Difference Change Detection
This tutorial provides an introduction to the Image Difference Change Detection workflow in ENVI EX. You will compare two images of Indonesia that was impacted by the 2004 tsunami.
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Thematic Change Detection
This tutorial provides an introduction to the Thematic Change Detection workflow in ENVI EX. You will examine two NOAA classification images of the same scene at different times and identify differences between them.
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RPC Orthorectification
This tutorial provides an introduction to the RPC Orthorectification workflow in ENVI EX. You will orthorectify a QuickBird image using the rational polynomial coefficients (RPC) model.
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Feature Extraction with Rule-Based Classification
This tutorial shows you how to use Feature Extraction to extract rooftops from a QuickBird scene. You will learn how various attributes can help you build meaningful rules in classification. Finally, you will export your classification results to a shapefile.
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Feature Extraction with Supervised Classification
This tutorial shows you how to use Feature Extraction to extract impervious surfaces from a QuickBird scene using supervised classification. You will learn how to smooth your vector results and save the output to a polygon shapefile.
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