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Notebook for optimizing DTM parameters #1441

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Notebook for optimizing DTM parameters #1441

wants to merge 1 commit into from

Commits on Dec 1, 2023

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    This is a notebook that allows the user to iterate ground classifier parameters and visualize results for optimizing the algorithm of their choice using PDAL. Caveat- this notebook requires hard paths and the knowledge to build a Python environment and import packages. This notebook is also designed for SfM RGB point clouds. I will be adding another notebook for visualizing Micasense multispec point clouds.
    @vonnonn
    vonnonn authored Dec 1, 2023
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