Commercial GIS extension for visualization of large unstructured geospatial data

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$69,919.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
NAS5-03032
Agency Tracking Number:
022384
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ProLogic, Inc.
1000 Technology Drive, Fairmont, WV, 26554
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Chetan Desai
Principal Investigator
(304) 363-1157
chetan@prologic-inc.com
Business Contact:
Ken Snyder
Director of Contracts
(304) 363-1157
ksnyder@Prologic-inc.com
Research Institution:
n/a
Abstract
The proposed innovation is new technology to enable the visualization of large unstructured geospatial datasets, such as LIDAR (LIght Detection And Ranging) data, within a commercial desktop Geographic Information System (GIS). The proposed architecture uses a high performance computing (HPC) platform to process the datasets and create visualization models, and then integrates 3D visualization into a GIS environment. For this research, cluster computing (a collection of interconnected commodity PCs implementing parallel processing techniques) will serve as the ?back-end?, with visualization and GIS integration provided through an extension to the ArcGIS system. The significance of the innovation is that it would: * Provide users new ability to visualize large datasets at their full resolution at varying scales;* Be implemented as a commercial GIS software extension, thus: - leveraging geospatial data and geoprocessing techniques supported by GIS systems - extending capability without requiring users to learn a new software interface;* Enable users to process the data faster and more efficiently, using real-time data browse within the GIS?s display window;* Incorporate the necessary computing power to process the large unstructured datasets for visualization (for now, through the use of cluster computing?future hardware improvements would provide additional high-performance computing platforms).

* information listed above is at the time of submission.

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