OPTIMUM MULTISENSOR DATA FUSION FOR IMAGE CHANGE DETECTION

Authors
JAIN ZS CHAU YGA
Citation
Zs. Jain et Yga. Chau, OPTIMUM MULTISENSOR DATA FUSION FOR IMAGE CHANGE DETECTION, IEEE transactions on systems, man, and cybernetics, 25(9), 1995, pp. 1340-1347
Citations number
19
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on systems, man, and cybernetics → ACNP
ISSN journal
00189472
Volume
25
Issue
9
Year of publication
1995
Pages
1340 - 1347
Database
ISI
SICI code
0018-9472(1995)25:9<1340:OMDFFI>2.0.ZU;2-S
Abstract
Optimum multisensor data fusion is addressed for image change detectio n based on the optimum likelihood ratio test for the statistical depen dence of the luminance signals in additive Gaussian noise. It is demon strated that the information to be transmitted from the sensors to-the fusion center is the maximum likelihood estimates of the correlation coefficients between pairs of consecutive image frames. Experimental r esults illustrate that the detection error decreases as the number of sensors and/or frames increases.