METHODOLOGY AND TOOLS FOR ALIGNING VECTOR AND IMAGE DATA

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,937.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
W9132V-07-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
Principal Investigator
(509) 857-2500
borisk@elltel.net
Business Contact:
Boris Kovalerchuk
President
(509) 857-2500
borisk@elltel.net
Research Institution:
n/a
Abstract
This research addresses the rising critical need for automated conflation of vector/raster data as more and more high resolution data are collected for updates/improvement of graphic products employed in various mission areas of the Army and other user communities. Our conflation methodology derives from the integration of two well-established conflation approaches, and is developed with a preliminary software design in Phase I. Successful testing using Government data will be followed with a Phase II effort wherein we will complete the conflation system design and produce a prototype ready for deployment as a commercial product. Our approach starts with a deep scientific understanding of the complexities/challenges that characterize the conflation problem. We attack the misalignment issues of nonlinearity, disparate scales, uncontrolled noise, etc., on a first principles basis using rigorous mathematics rather than empirical trail and error adjustments that basically distribute the misalignment rather than attack fundamental causes. In developing our integrated methodology, we will establish the synergism achieved by combining two approaches: use of algebraic algorithms and similarity transformation of local features. We establish three fundamental research hypotheses about these complementing approaches, which will be tested and evaluated in order to provide a technical roadmap toward the optimal conflation solution.

* information listed above is at the time of submission.

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