Commercial GIS extension for visualization of large unstructured geospatial data

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS5-03032
Agency Tracking Number: 022384
Amount: $69,919.00
Phase: Phase I
Program: SBIR
Awards Year: 2003
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
ProLogic, Inc.
1000 Technology Drive, Fairmont, WV, 26554
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Chetan Desai
 Principal Investigator
 (304) 363-1157
Business Contact
 Ken Snyder
Title: Director of Contracts
Phone: (304) 363-1157
Research Institution
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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