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Why does the back project fail to detect vegetation when I use a 3-channel TIFF file? The result inside the observation frame is black

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Why does the back project fail to detect vegetation when I use a 3-channel TIFF file? The result inside the observation frame is black
2024-12-05 14-22-19-45.png
 
How many samples did you select for the back project step to use?
 
Back project uses sample of what you want to detect. They are shown on the samples tab (next to the properties tab). So you will have to select how trees look first by making samples before something is detected.

But I think I would try the SVM or MLP steps first. They use AI algorithms and will work better I think.
 
Back project uses sample of what you want to detect. They are shown on the samples tab (next to the properties tab). So you will have to select how trees look first by making samples before something is detected.

But I think I would try the SVM or MLP steps first. They use AI algorithms and will work better I think.
hi arno I don't have a sample in my samples, how do I add it? Also, does SVM or MLP require a four-channel graph? I don't have a four-channel tiff file
 
No, all of these steps can work with 3 or 4 band images. It's just that without a near Infrared band it's sometimes harder to differentiate trees and shadows.

If you active the samples tab you can drag with your mouse in the image to select an area that represents what you want to detect.
 
No, all of these steps can work with 3 or 4 band images. It's just that without a near Infrared band it's sometimes harder to differentiate trees and shadows.

If you active the samples tab you can drag with your mouse in the image to select an area that represents what you want to detect.
Can I just replace the back project with mlp or SVM?
 
Yes, but for the MLP or SVM step you will have to provide sample points for the algorithm (to indicate what you want and don't want to detect). Also you need to run a cluster step before, as the input includes a cluster image. Check the manual for some samples. I should probably make a new video about this one day as well.
 
Yes, but for the MLP or SVM step you will have to provide sample points for the algorithm (to indicate what you want and don't want to detect). Also you need to run a cluster step before, as the input includes a cluster image. Check the manual for some samples. I should probably make a new video about this one day as well.
It's better to come up with an instructional video, which is more complicated for a newbie like me 。 haha,Looking forward to your instructional videos!
 
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