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SBIR Phase I: A Multiple Criteria Based Approach to Automate Conflation in…

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
53463
Program Year/Program:
2001 / SBIR
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 Dr. New Orleans, LA 70125
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2001
Title: SBIR Phase I: A Multiple Criteria Based Approach to Automate Conflation in Geographical Information Systems
Agency: NSF
Contract: 0060653
Award Amount: $98,008.00
 

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.

Principal Investigator:

Harold Foley
5048214973
foley@eecs.tulane.edu

Business Contact:

Harold Foley III
President
5048214973
foley@eecs.tulane.edu
Small Business Information at Submission:

Apex Systems Inc.
4303 Fontainebleau New Orleans, LA 70125

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No