Data Processing Software

RiPROCESSfor RIEGL Scan Data••project-oriented software•
for managing and processing
RIEGL ALS and MLS data••operation in a multiple-•workstation environment,•
parallel task processing

RiPROCESS is designed for managing, processing, analyzing,and visualizing data acquired with airborne laser scanningsystems (ALS systems) and mobile laser scanning systems(MLS systems) based on RIEGL® Laser Scanners. Data export
in geodetic systems is supported by the GeoSys Manager.
RiPROCESS is project-oriented and enables the user to manage all••fast access to data for inspection
in different visualization formats

data acquired and processed within a single project. This data in-••system calibration and•scandata adjustment

mounting information and calibration data, laser raw data, e.g., the••statistical analysis of•referencing, matching quality

LMS-Q680(i), position and orientation data from the INS/GNSS system,••interfacing to third party•
software packages

cludes project data, scanning system information data such as
digitized echo signals from the RIEGL Laser Scanners LMS-Q560 andintermediate data files, search tree files for fast data access, andgeoreferenced point cloud data with additional descriptors for every
measured coordinate.
Data processing tasks include, e.g., full waveform analysis and georeferencing laser data by merging it with the trajectory data
derived from INS/GNSS data. These functions are provided by the RIEGL Software RiANALYZE and RiWORLD,
respectively. RiPROCESS is intended for mass data
production in a multiple-workstation environment.
RiPROCESS makes use of these programs, which
may be installed on different workstations andare accessed via RiSERVER.

visit our website www.riegl.com

Ri SoftwareRiPROCESS Data Processing
RiPROCESS

distributes

thecomputational load to theavailable server-enabled processing tools in the form of individual tasks thus optimizing
data throughput.
For data and data quality
analysis laser data can bevisualized in 2D and 3D in various ways, e.g., in data density, in color-encoded height,
heightdifferences

withinraster cells and many more.
Fig. 1 Mobile laser scan data,
color-coded reflectance

Even huge amounts of data can quickly be accessed for display in
3D. Quality of scan data matching can be assessed in different ways,
by visual inspection or by statistical analysis.
In order to improve data quality, RiPROCESS offers an inte­
grated scan data adjustment
feature based on matchingdata acquired on planar objects, e.g., roofs of buildings.
Data acquired on planarobjects is automatically detected within the scan data
and displayed for inspection
in 2D and 3D. Parameters optimized within the scan data
adjustment include systemcalibration information, andup to 6 offsets (angular andFig. 2 Airborne laser scan data,
color-coded heighttranslational) for each single scan. Terrestrially surveyed control points
or planar control objects can also be used to additionally improve
absolute georeferencing of the data set.
RiPROCESS allows data export in the widely-used LAS format (amongstothers) to execute common tasks such as classification, triangulationand decimation by third-party software packages. The included GeoSys Manager offers a powerful tool for exporting the geo-referenced
point cloud in Carthesian ECEF, geographic and local grid coordinates. An interface to RiSCAN PRO, the accompanying software forRIEGL‘s terrestrial 3D scanners, allows utilizing further visualization andprocessing tools.

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RiPROCESS Workflow

RiPROCESS Key Features••Project-oriented managing software for processing of RIEGL airborne and mobile laser scanner
data from raw data to point-cloud-based data in WGS84 or projection (e.g. UTM) utilizing •RiANALYZE and RiWORLD in remote control mode••Fast access to data for visual inspection in a large variety of visualization formats, ranging fromcolor-coded raster data to digitized echo data for every laser measurement (depending onused laser scanner)••System calibration and scan data adjustment based on matching data acquired on flat objects••Statistical analysis of matching quality of scan data; comparison of laser data to surveyed •reference objects••Interface to further post-processing tools via LAS, Terrasolid, and ASCII data exchange••Operation in a multiple-workstation environment enhancing data post-processing throughput •by parallel computing

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RiPROCESS System Requirements
Operating systems:

Windows XP Professional, Windows Vista Professional,
Windows 7 Professional, 32 or 64 bit operating system
Note: In case of Windows Vista and Windows 7, please ensure thatyou have up-to-date device drivers installed (especially for thegraphic card).

Memory requirements:

1024 MB RAM minimum, 2048 MB (32 bit) / 4096 MB (64 bit)or more recommended
Note: On 32 bit operating systems, RiPROCESS can use up to 3 GB
RAM and on 64 bit operating systems up to 4 GB RAM.

Disk space requirements:

approx. 30 MB of free disk space for the program and plugins(not including project data)
at least 100 GB recommended for your own projects
optional: Dedicated RAID controller (e.g. RAID 0 mode) and fast
hard disks to speed up file accessInterfaces:

Network interface (Ethernet, LAN)

Graphics requirements:

Screen resolution at least 1024 by 768 pixels
OpenGL accelerated graphics card
(OpenGL 2.0 or higher required)nVIDIA GeForce series recommended (GeForce-7 or higher)

Peripherals:

3 button mouse, optical wheel mouse recommended
standard keyboard

RiPROCESS Download Information
To download RiPROCESS please navigate to http://www.riegl.com/
and click on „DOWNLOADS“.
(Download after e-mail registration only.)

RIEGL Laser Measurement Systems GmbH, 3580 Horn, Austria
Tel.: +43-2982-4211, Fax: +43-2982-4210, E-mail: office@riegl.co.at
RIEGL USA Inc., Orlando, Florida 32819, USA
Tel.: +1-407-248-9927, Fax: +1-407-248-2636, E-mail: info@rieglusa.com
RIEGL Japan Ltd., Tokyo 1640013, Japan
Tel.: +81-3-3382-7340, Fax: +81-3-3382-5843, E-mail: info@riegl-japan.co.jp

www.riegl.com
Information contained herein is believed to be accurate and reliable. However, no responsibility
is assumed by RIEGL for its use. Technical data are subject to change without notice.

Data sheet, RiPROCESS, 22/09/2010