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Last Post 20 Jun 2019 08:00 AM by  MariM
Classification workflow
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Scott James



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19 Jun 2019 11:19 PM
    We have many orthographic images that we are using ENVI 5.2 to do supervised classification. They all share many of the same characteristics and are form the same region. We want to do some supervised learning on a few images, but carry over the results and then automate the process. We have far too many images to do them all by hand. We would like to train on a few, automate the process, check some by hand, and add new classification data as needed to resolve mistakes. Any idea how to do this? If this is not feasible, then the software is not very useful.

    MariM



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    20 Jun 2019 08:00 AM
    A supervised classification is not the same as a machine learning algorithm. ENVI does have a new module for ENVI 5.5.2 called Deep Learning which can be used to repeatedly train data, add in new training data to develop and improve the training model that can then be applied to different images.
    You could also use the Classification Framework and the API to automate it:
    http://www.harrisgeospati...cs/routines-173.html

    However, I believe these routines are in newer versions than ENVI 5.3 so you would need to update your version.
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