Title :
Map Similarity Testing Using Matrix Decomposition
Author :
Dvorsky, Jiri ; Snasel, Vaclav ; Vozenilek, V.
Author_Institution :
Dept. of Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava, Czech Republic
Abstract :
The similarity of two maps can be most easily compared visually. In this case, the degree of similarity is very subjective. It is therefore necessary to find an objective method for measuring similarity. This paper presents a method based on Singular Value Decomposition (SVD).
Keywords :
cartography; geographic information systems; matrix decomposition; singular value decomposition; degree similarity subjective; easily compared visually; geographic information system; map similarity testing; matrix decomposition; objective method measuring similarity; singular value decomposition; Intelligent networks; International collaboration; Matrix decomposition; Payloads; Real time systems; Streaming media; Telecommunication traffic; Testing; Unicast; Web and internet services; Singular Value Decomposition; air temperature; climatic maps; matrix decomposition;
Conference_Titel :
Intelligent Networking and Collaborative Systems, 2009. INCOS '09. International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-5165-4
Electronic_ISBN :
978-0-7695-3858-7
DOI :
10.1109/INCOS.2009.74
