Image Classification Map Tutorial - ArcGIS Pro

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  • Опубликовано: 5 янв 2025

Комментарии • 7

  • @LetsFlyDronesAlready
    @LetsFlyDronesAlready 3 года назад +2

    Would be interesting to see the same example using segmentation. Great video.

  • @jrdetka
    @jrdetka 4 года назад

    Nice video. Thank for sharing the approach. Can't wait to try it out!

  • @gisousalkhi
    @gisousalkhi 2 года назад +1

    Thank you so much
    It was really helpful

  • @Pariyaspalette
    @Pariyaspalette 5 месяцев назад

    Thanks for your helpful video.
    I am attempting supervised and object-based image classification using Arch Pro (V.3.2). Here are the steps I have followed:
    I acquired Sentinel-2 imagery and combined bands 2, 3, 4, and 8 (10m resolution).
    I performed image segmentation.
    I created a classification schema.
    I generated training samples.
    However, when I attempt to classify using a support vector machine classifier, I encounter the following error:
    ERROR 003436: No training samples found for these classes: Soil, Water, Impervious, Grass, Tress.
    The table was not found. [VAT_Segmented_202407110934456475089_interIndex]
    The table was not found. [VAT_Segmented_202407110934456475089_interIndex]
    Failed to execute (TrainSupportVectorMachineClassifier).
    Failed at Thursday, July 11, 2024 9:44:52 AM (Elapsed Time: 0.22 seconds)
    I have tried several times but haven't been able to identify the cause of this error. Do you know what might be causing it?

  • @surajitmondal4931
    @surajitmondal4931 4 года назад

    thank you sir....ad pls make a video on accuracy assessment on arcgis pro

  • @nasovlamingi
    @nasovlamingi 3 года назад +1

    How would I then take the schema made for this tile and then replicate it on the next section of the area ? I successfully used this process for my first tile but haven't been able replicate. Thanks

  • @Kavyausadairies
    @Kavyausadairies 2 года назад

    Can u please send your email I need to discuss about image classification