About this Document Welcome to the GeoCue Project Dashboard User Guide. The reader of this document is expected to be familiar with the basic GeoCue processing system. For information on GeoCue itself, please refer to the GeoCue User Guide. Contents 1 Introduction 2 A General Overview of Project Dashboard 3 Viewer Role 3.1 Project View…
About this Document Welcome to the Frame CuePac User Guide. This guide provides background on using GeoCue to manage Leica Geosytems’ FramePro image processing software in a GeoCue managed workflow. This workflow may include from 1 to n nodes for FramePro processing. If you are using distributed processing, you may want to refer to the GeoCue Command Dispatch…
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…
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…
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…
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…
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…
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…
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…
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…
