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dc.date.accessioned | 2023-05-29T17:49:14Z | |
dc.date.available | 2023-05-29T17:49:14Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/153582 | |
dc.description.abstract | In this work we conceive centralized data fusion as a deterministic parameter estimation problem. Two different criterions are compared: best affine unbiased fusion rule (BAUE), and Maximum Likelihood for Gaussian measurement noise. Estimates are described in terms of their covariance matrices, the Cramer-Rao lower bound and simulations. The developed fusion rules are suited to two different image fusion cases: noise reduction under differently exposed images, and blur reduction based on lens response knowledge. | en |
dc.format.extent | 1551-1562 | es |
dc.language | en | es |
dc.subject | multi-sensor fusion | es |
dc.subject | image fusion | es |
dc.subject | BAUE | es |
dc.subject | maximum likelihood | es |
dc.subject | MMSE estimation | es |
dc.title | Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.uri | http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf | es |
sedici.identifier.issn | 1850-2806 | es |
sedici.creator.person | Roitman, Gustavo A. | es |
sedici.creator.person | Cernuschi-Frias, Bruno | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Sociedad Argentina de Informática e Investigación Operativa | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
sedici.date.exposure | 2010 | |
sedici.relation.event | Simposio Argentino de Tecnología (AST 2010) - JAIIO 39 (UADE, 30 de agosto al 3 de septiembre de 2010) | es |
sedici.description.peerReview | peer-review | es |