Federator User Guide

About this Document Welcome to the Federator User Guide. Contents 1 Introduction  2 Network Requirements & Considerations 2.1 “All Internal” Configuration 2.2 DMZ Configuration 3 Installation & Setup  3.1 Prerequisites 3.2 Installation 3.3 Federator Server Setup 3.3.1 Setup MSDE or local SQL Server 3.3.2 Setup Remote SQL Server 3.3.3 Continue After SQL Server Setup 3.4…

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Distributed Project Management System (DPMS) User Guide

About this Document Welcome to the GeoCue Distributed Project Management System (DPMS) User Guide. The information in this guide assumes that you have an intimate knowledge of the core functions of GeoCue. Therefore, basic principals such as adding to the Working Set, selecting, Checklist processing and so forth are not covered in this guide. If…

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DMC PPS CuePac User Guide

About this Document Welcome to the DMC PPS CuePac User Guide. This guide provides background on using GeoCue to manage Intergraph’s Digital Mapping Camera (DMC) Post-Processing System (PPS) in a GeoCue managed workflow. This workflow may include from 1 to n nodes for PPS processing. If you are using distributed processing, you may want to refer…

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Download Image Layers from Reckon

In addition to viewing orthos and other image layers in Reckon, users also have the option to download the layer to a local drive.  The following steps describe the process for downloading an image layer from Reckon. Step 1 – User requests an image. In the Table of Contents, left click on desired image layer. Left…

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Summarizing Individual Point Attributes

About Summarizing Individual Point Attributes When using the Point Cloud Statistics Extractor , all attributes of the point cloud can be summarized using basic descriptive statistics such as minimum, maximum, mean, and standard deviation. The field codes used for each descriptive statistic is ‘MN’, ‘MX’, ‘AV’, and ‘SD’ respectively. The following lists the point attributes…

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Extracting Point Densities, Nominal Point Spacing, and Area

About Extracting Point Densities and Area When using the Point Cloud Statistics Extractor one may export point density and the area used to calculate those density values. There are two types of point densities to export; an overall point density and if grouping by an attribute, the density related to only those points within a…

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Extracting Header Attributes

Extracting Header Attributes About Extracting Header Attributes When using the Point Cloud Statistics Extractor one may use the Extract By Files option. One can then select a number of header attributes to save in the extracted summaries. The following is the current list of exportable header attributes and their corresponding field names: File name: FName…

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Extracting Point Counts

About Extracting Point Counts When using the Point Cloud Statistics Extractor one may toggle various point counts that are tallied during the summarizing of the point cloud. The following describes the type of point counts you may export and each field name associated with that count: Point Count (PntCnt): the number of total points used…

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Classify Non-Visible Points

The new “Classify Non-Visible Points” mode introduced in LP360 2016 allows the user to choose whether or not they classify non-visible points. Example:  Water is off in the display filter, everything else is on.  In the Selection filter all classification classes are on. Case 1:  Toggle set to not classify non-visible points. Result: Only selected…

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