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Last Post 12 Jul 2019 11:34 AM by  MariM
SVM ROI Modeler
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Anna Wojtowicz-Nowakowska



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08 Jul 2019 07:06 AM
    Hi! I would like to create model to segmentation and classification a few Landsat images.
    I prepared ROI i ArcGis, now i would like to convert this shp to ROI in the Modeler. My model looks like:

    shp -> Convert Vector Attribute to ROIs ->
    raster -> FX Segmentation _>

    now these two paths are connected

    -> Extract Examples from Raster _> Extract Proprieties and Metadata -> Create SVM Classifier - Classify Raster

    But on the beginning I get a message that "roi_test unable to recognize this file as a standard format" and "Invalid parameter named "INPUT ROIS". Required parameter has no VALUE or DEFAULT property set".

    Could you please help me with what I have to change?

    MariM



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    08 Jul 2019 07:40 AM
    Do you mean it fails during the vector to ROI conversion? At what point in your model does it fail?
    If it fails during ROI conversion, does it work in the GUI using the vector to ROI tool?

    Anna Wojtowicz-Nowakowska



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    08 Jul 2019 08:57 AM
    It fails during the Extract Examples from Raster.

    But I have another question, can I process classification in Modeler based on segmented raster and using ROI?

    MariM



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    08 Jul 2019 10:01 AM
    A segmented raster is not the same as an attribute image. You might find this tutorial useful:
    http://www.harrisgeospati...teimagetutorial.html

    Anna Wojtowicz-Nowakowska



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    09 Jul 2019 01:07 AM
    Thank you very much!
    So, can I add segmentation result to Attribute Image and use shape information during classification?

    MariM



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    12 Jul 2019 11:34 AM
    The segmentation image might provide some information as an 'attribute' from the pixel values - which are means of the segments. It won't really consider the 'shapes' of the segments in this raster.
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