v26 evaluating spectral separability in ENVI

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  • Опубликовано: 15 дек 2024

Комментарии • 8

  • @twentythreepointfive
    @twentythreepointfive 6 лет назад

    Great video! Really straight-forward and logical processing.

  • @saheldakia3631
    @saheldakia3631 4 года назад

    Very interesting but could you please explain how did you calculate those numbers in band ratios.

  • @Ryan_Woods7
    @Ryan_Woods7 9 лет назад +1

    It seems like when you are calculating the values for the bands, you are reading off of the graph instead of using the numbers from which the graph is derived.

  • @aloycempinge2699
    @aloycempinge2699 8 лет назад

    With much clarity, cool!!

  • @huseyinyasar5360
    @huseyinyasar5360 9 лет назад +3

    how did u calculated the decision tree criteria?

  • @jbkhunda
    @jbkhunda 4 года назад

    Could you please explain how did you calculate those numbers in band ratios.

  • @amanambuamobi3331
    @amanambuamobi3331 7 лет назад

    Thanks alot for this and many more videos. what if i want to draw more than one polygon for a class. for instance, i want to draw more than one polygon to represent water instead of just one to help icrease accuracy. how do i merge their specral class (for each class). i want to do maximum likelihood classification with it. as your other videeo on Max likelihod classification just used the classes you set here. i hope you can help me with a response

  • @smatiimene1444
    @smatiimene1444 6 лет назад

    Thanks