Autonomous Multi-Sensor Registration Toolkit

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
F33615-03-M-1493
Award Id:
62491
Agency Tracking Number:
F031-0658
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
AlanChao
Principal Engineer
(781) 273-3388
achao@alphatech.com
Business Contact:
JohnBarry
Contracts Manager
(781) 273-3388
jbarry@alphatech.com
Research Institute:
n/a
Abstract
Future strike missions will need to utilize intelligence, surveillance, and reconnaissance and other off-board data assets to improve the geo-location, detection and identification of targets. To share and fuse data from multiple sources, it is necessaryfirst to reference the different sources of information with respect to a common coordinate system, which is the process of data registration. This proposal addresses the multi-sensor data registration problem for both image and report level sensor data.The key challenge for multi-sensor registration is the automatic identification, extraction, and association of salient features across the different sensor data sources to determine tie-points for bundle adjustment. To address this challenge, thisproposal presents a mathematically-based, unifying framework for data registration that allows for the plug and play of multiple registration algorithms, each focused on the solution for its portion of the multi-sensor data registration problem space.Phase I will provide an initial proof of concept of the data registration framework using a limited multi-source data set. Phase II will integrate a complete suite of algorithms into this unifying framework and demonstrate over a wide range of datasources. The technology developed under this program has both military and commercial applications. Military applications include platform and/or ground station geo-registration services. These geo-registration services can be integrated with existing sensorexploitation tools and provide enhanced performance for various processes like targeting, tracking, fusion, and change detection. Commercial applications include geo-registration services for Geospatial Information Systems (GIS) applications andgeographic image analysis tools. The product of this effort can be integrated as a plug-in to commercial applications such as ERDAS IMAGINE and ESRI's ArcView to enable the automatic alignment of different data sources.

* information listed above is at the time of submission.

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