Improving the Quality of Point Cloud Data

Wed Jun 16, 2021
10:00 AM - 11:00 AM EST

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As anyone who has worked with lidar or other point cloud datasets will concur, the value of any derivative products is only as good as the quality of the original data. If your point cloud is deficient, the output data will also be sub-par. Thankfully, Global Mapper’s Lidar Module offers an array of tools for improving the quality of point cloud datasets. In this live, hour-long presentation, Blue Marble application specialists will provide an overview of some of these editing and filtering tools, including:
– Noise removal
– Point reclassification
– Vertical and horizontal adjustment
– Point cloud thinning
– Cropping
– And much more.

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