Light Detection and Ranging (LIDAR) Surface Feature Extraction Tool

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N61339-06-C-0055
Agency Tracking Number: N043-245-0533
Amount: $1,000,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solicitation Year: 2004
Solicitation Topic Code: N04-245
Solicitation Number: 2004.3
Small Business Information
P.O. Box 8226, Missoula, MT, 59807
DUNS: 150373442
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Stuart Blundell
 COO
 (406) 829-1384
 sblundell@vls-inc.com
Business Contact
 David Opitz
Title: CEO
Phone: (406) 829-1384
Email: opitz@vls-inc.com
Research Institution
N/A
Abstract
NAVAIR requires accurate and timely 3-D geospecific features, terrain, and imagery data to support Modeling and Simulation (M&S) software applications used in training and pre-mission rehearsal simulators. LIDAR data provides an excellent source for spatially accurate digital terrain and 3-D feature information; however, current visual database production techniques require hundreds of man-hours to extract and attribute features. Automated processes are necessary to achieve the Navy’s goal of good M&S data that is efficiently processed and correctly formatted. Bottlenecks in producing good data are a result of manual processes used in (1) registering old features and imagery to newly acquired imagery and LIDAR, (2) extracting and editing complex 3-D geometries, and (3) updating and attributing features. The proposed Phase II workplan promises to significantly alleviate these bottlenecks by developing a system that exploits the information content of LIDAR and multiband imagery using machine learning-based feature extraction technology. The envisioned system will have the capability of automating the extraction of M&S features from LIDAR, registering features to images, allowing dynamic interaction with analysts, interrogating analysts when it needs additional information, and embedding the ability to create a continuously updated repository of feature extraction models.

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

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government