SBIR Phase I: A Multiple Criteria Based Approach to Automate Conflation in Geographical Information Systems

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$98,008.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
0060653
Agency Tracking Number:
0060653
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Apex Systems Inc.
4303 Fontainebleau, New Orleans, LA, 70125
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Harold Foley
(504) 821-4973
foley@eecs.tulane.edu
Business Contact:
Harold Foley III
President
(504) 821-4973
foley@eecs.tulane.edu
Research Institution:
n/a
Abstract
This Small Business Innovation Research (SBIR) Phase I project describes an innovative approach to automating the integration of geographical data from multiple resources. This process is commonly referred to as conflation. The most important aspect of the conflation process is feature matching. Feature matching is the process of merging corresponding geographical features from various datasets. Previous attempts at automatically solving this problem have only focused on the geometrical characteristics of geographical data; yet, there are other aspects of geographical data that should be considered: topological, nonspatial, and spatial. An improved approach to automating the feature matching process that utilizes these other aspects of geographical data is presented. In the context of the growing use of geographical information systems (GIS), the need for tools to process, analyze and conflate geographical data is increasing. Such tools will find application in the Department of Defense, in the drilling and mining industry, in the agriculture industry, and by urban planners and GIS developers.

* information listed above is at the time of submission.

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