Commercial GIS Extension for Visualization of Large Unstructured Geospatial Data

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNG04CA09C
Agency Tracking Number: 022384
Amount: $599,995.00
Phase: Phase II
Program: SBIR
Awards Year: 2004
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1000 Technology Drive, Fairmont, WV, 26554
DUNS: 941134876
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Chetan Desai
 Principal Investigator
 (304) 333-2680
Business Contact
 Ken Snyder
Title: Business Official
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 architecture first converts the raw LIDAR datasets into the newly approved LAS LIDAR data standard. The system then creates efficient spatial indexing mechanisms to easily visualize high-fidelity models interactively within a 3D GIS environment. The efficient data model is also used to support high-performance raster and TIN creation. All three data models (raw point cloud, raster, and TIN) are integrated with the native capabilities of ArcGIS for visualization, query, filtering, and analysis. The technology also provides extensibility through APIs to enable third-party developers to implement algorithms for image analysis and feature extraction. The proposed architecture also supports the use of high performance computing (HPC) platforms for resource intensive processing that may not be appropriate for a single desktop system.

* Information listed above is at the time of submission. *

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