Rail Extraction Tools in LP360

LP360 includes tools to automatically extract a rail alignment (centerline) feature as a polyline as well as classify “top of rail” from LAS files derived from Laser Intensity Detection and Ranging (LIDAR) points.  This feature is implemented as a semi-automated Point Cloud Task (PCT) and is available in the Advanced version of both LP360 for…

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Using the Classify by Statistics Point Cloud Task in LP360

Classify by Statistics is a Point Cloud Task in LP360 that can be created by selecting the “Add Task…” option under the Point Cloud Tasks menu. Classify by statistics is primarily useful for general data thinning – especially useful for very dense data such as that derived from imagery (dense image matching, DIM, data).  For…

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LP360 Under the Hood: Cross-sections

As we outlined in a previous “LP360 – Under the Hood”, we have added volumetric analysis to LP360. This feature was first released with 2013.2 at the end of last year with an enhanced version in our recent Experimental (EXP) release. An important element of the analysis associated with volumes is the generation of cross-sections.…

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LP360 Under the Hood: Volumetric Analysis

This is the third installment in our series on the new Point Cloud Task (PCT) mechanisms introduced in LP360 version 2013.2 released in December of 2013. We have previously discussed the new Input/Output Manager (IOM) and the Conflate tool. We now will cover the Volumetric Analysis tools. First of all, allow me to mention that…

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LP360 Under the Hood – The Conflation Point Cloud Task

In the January issue of GeoCue News, we discussed the new Point Cloud Task (PCT) overhaul that we released in LP360 2013.2. The focus of the last article was on the new Input/Output Manager (IOM) for setting the inputs and outputs of the various PCTs that LP360 provides. In this month’s article I will describe…

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Point Cloud Tasks – The I/O Manager

As you read this, we are releasing LP360 2013.2, our second major release of LP360 for calendar year 2013 (yes, yes- I know it is 2014 already!). One of the main developments for this release has been extensive improvements to the Point Cloud Task (PCT) subsystem of LP360. The PCT system is a framework for…

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QA/QC on LIDAR data using either LP360 Command line executables or the Point Cloud Statistics Extractor

You can do part of a synoptic QA/QC on LIDAR data using either LP360 command line executables or the Point Cloud Statistics Extractor, which is one of the Point Cloud Tasks found within the LP360 GUI. Some general QA/QC information that can be gathered includes, but is not limited to, projection information, GPS time format,…

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