Tree identification and classification from LiDAR data

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Light Detection and Ranging (LiDAR) data is a collection of points that represent the surface of the Earth, including buildings, vegetation, and the ground. LiDAR is a remote sensing method that uses a laser to measure distances to the Earth’s surface. The data is collected as a point cloud, and then processed to create high-resolution models of the surface.

LiDAr-view
LiDAr-view1477×877 187 KB

i am trying to build a model to identify and classify tree from lidar data and i need a good way to do that i am trying to find a good approach to do that .
i am new to point cloud data and i don’t have a clear idea how can i do this i am all open for suggestions and recommendations how can i do this?

i am all ears

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Perhaps image segmentation can help here, check out the deep learning and tensorflow advanced techniques specialization.

Maybe you can train a model with these images because to me they look like segmentation maps!

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I will look into it and its possibilities ,thank you for your time.

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