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How can I find a threshold in a point cloud (xyz) separating two classes?
Learner III
Hi everyone!
I am completely new to RapidMiner and machine learning. I am a student and currently working with point cloud data. That is a text-file representation of a land surface through coordinates. Additionally to xyz coordinates the points have color values in HSI (hue, saturation, intensity) color space. I need to separate vegetation from ground points based on the hue color information. Ground points have a low hue value, vegetation high hue value in this case. So I want to find a threshold that separates those two classes in a representative way.
I know that I can somehow do this with decision trees or support vector machines.. but since I never did something like this I am kind of clueless how to start and how to use those methods.. Is this even possible without further attributes to describe the two classes?
So I would be very pleased if someone could give me hints on how to achieve my goals.
Thanks a ton!
Michael
I am completely new to RapidMiner and machine learning. I am a student and currently working with point cloud data. That is a text-file representation of a land surface through coordinates. Additionally to xyz coordinates the points have color values in HSI (hue, saturation, intensity) color space. I need to separate vegetation from ground points based on the hue color information. Ground points have a low hue value, vegetation high hue value in this case. So I want to find a threshold that separates those two classes in a representative way.
I know that I can somehow do this with decision trees or support vector machines.. but since I never did something like this I am kind of clueless how to start and how to use those methods.. Is this even possible without further attributes to describe the two classes?
So I would be very pleased if someone could give me hints on how to achieve my goals.
Thanks a ton!
Michael
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