Commercial GIS Extension for Visualization of Large Unstructured Geospatial Data

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$599,995.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
NNG04CA09C
Award Id:
63606
Agency Tracking Number:
022384
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1000 Technology Drive, Fairmont, WV, 26554
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
941134876
Principal Investigator:
Chetan Desai
Principal Investigator
(304) 333-2680
chetan@prologic-inc.com
Business Contact:
Ken Snyder
Business Official
(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 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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