DocumentCode
2323984
Title
A modified genetic algorithm for matching building sets with the histograms of forces
Author
Buck, Andrew R. ; Keller, James M. ; Skubic, Marjorie
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Missouri-Columbia, Columbia, MO, USA
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
7
Abstract
This paper presents an approach to the task of locating a group of buildings based solely on their relative spatial relationships. This situation can occur in the problem of conflation of a hand or machine drafted map to a satellite image or in matching of two images taken under different viewing conditions (the correspondence problem). Of importance to us is the general text-to-sketch problem where a sketch of building locations must be matched to actual satellite imagery. Information about the nature of these relative positions is captured by the histograms of forces. In this paper, we consider a modified genetic algorithm that allows us to search for a specific group of buildings within a large geospatial database using the histograms of forces in the matching process. A novel mutation operator is introduced to adapt the standard GA to this environment.
Keywords
genetic algorithms; geographic information systems; image matching; visual databases; building location sketch; building set matching; conflation; force histogram; genetic algorithm; geospatial database; matching process; mutation operator; satellite imagery; spatial relationship; text-to-sketch problem; Biological cells; Buildings; Convergence; Databases; Histograms; Nearest neighbor searches; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6909-3
Type
conf
DOI
10.1109/CEC.2010.5585935
Filename
5585935
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