Automatic Ground Classification of Dense Point Clouds in LP360

The density of point clouds (usually expressed as points per square meter) is increasing on what seems to be a monthly basis.¬† This is particularly true of point clouds derived from Dense Image Matching (DIM), the clouds produced from software such as PhotoScan, Pix4D, DroneDeploy and so forth. You can quickly check the density of…

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Photogrammetric Point Cloud Processing

Point Clouds generated through photogrammetric methods (such as Dense Image Mapping) have different characteristics than traditional airborne laser scanner systems or “normal” LIDAR point clouds. ¬†Specifically, the data is very dense, which can negativity impact processing time, and the data is also very noisy, which can cause the normal classification routines to err. The echo…

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