METHODOLOGY AND TOOLS FOR ALIGNING VECTOR AND IMAGE DATA

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$729,998.00
Award Year:
2008
Program:
SBIR
Phase:
Phase II
Contract:
W9132V-08-C-0002
Award Id:
77507
Agency Tracking Number:
A062-135-0515
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2380 Emerick Rd., Cle Elum, WA, 98922
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
133876354
Principal Investigator:
Boris Kovalerchuk
President
(509) 857-2500
bkf1@BKFSystems.com
Business Contact:
Boris Kovalerchuk
President
(509) 857-2500
bkf1@BKFSystems.com
Research Institution:
n/a
Abstract
Present methods of vector-raster conflation require extensive human intervention and labor, which is an expensive effort better spent in cognitive, decision-making tasks. Integration or alignment of vector and raster geospatial data may have inaccurate and contradictory geo-references, or not have them at all. Different and unknown rotations, disproportional scales, uncontrolled noise, various physical modalities, and other factors are fundamental challenges for robust alignment of such data. This is an area of extensive research and development, but commercial software products that can meet the current challenges do not yet exist. Our Phase I research has shown that automated/semi-automated vector-raster conflation is feasible. Our focus on automation is to significantly reduce the manual steps and time necessary to align vector and image data. We are already in contact with probable users of conflation technology and are engaging potential investors and partners. Our commercialization/transition approach is based upon a working relationship with Visual Learning Systems, Inc., which is a worldwide leader in automated feature extraction solutions within the GIS industry. The technical goal and envisioned outcome of this Phase II project is an initial version of a commercial conflation tool that can be moved rapidly into the market through Phase III efforts.

* information listed above is at the time of submission.

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