Case Study – Fixing Time Consuming Inventory Collection

A Case Study from Philips’ Soil Challenge We conduct a core product inventory every quarter for our bark and pumice stockpiles to keep our bookkeeping updated. Our inventory collection methods consisted of simply guessing the volume of each pile (highly inaccurate) or having our loader operator move 5 yards of product at a time (extremely…

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Photoscan – Editing Orthomosaics

Photoscan has a function to assign only user selected images for a specific area. This is useful for cleaning up areas of the ortho that have: blurriness, moving vehicles, bad image stitching, etc. 1. To begin, make sure that you have selected to view the orthomosaic, draw a polygon around the area in the orthomosaic…

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Memory Error When Building Mesh in PhotoScan

One of the steps in AirGon’s PhotoScan processing workflow is to build a 3D mesh.  The mesh building step usually consumes more memory than other steps in the workflow and can lead to a memory error if the capacity is exceeded.  The source of this problem can sometimes be traced back to the selection 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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A Comparison of Volumetric Workflows – LP360, PhotoScan and Pix4D

In the last quarter of 2016, we introduced (under our AirGon brand) the Bring Your Own Drone (BYOD) Mapping Kit.  This kit contains all the software one needs to turn a low-cost drone such as a Phantom 4 Pro or an Inspire 2 with x4s camera into a serious mapping platform. Our presales technical team…

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