Quality Assessment Measures for Explainable Fusion Of Statistical Evidences of Edges in Polsar Images: A First Approach

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dc.contributor.authorAlpala R.J.
dc.contributor.authorDe Borba A.A.
dc.contributor.authorFrery A.C.
dc.date.accessioned2024-03-12T19:11:01Z
dc.date.available2024-03-12T19:11:01Z
dc.date.issued2023
dc.description.abstract© 2023 IEEE.This work aims to develop techniques for the fusion of statistical evidences obtained from the application of Statistical Information Theory (SIT) and Statistical Information Geometry (SIG) in image processing and analysis, with a specific focus on Polarimetric Synthetic Aperture Radar (PolSAR) imagery. The goal is to generate a single solution superior to individual solutions. Furthermore, properties or measures that assess the quality of results will also be employed to evaluate the effectiveness of fusion methods in detecting edge evidence.
dc.description.firstpage7463
dc.description.lastpage7466
dc.description.volume2023-July
dc.identifier.doi10.1109/IGARSS52108.2023.10283263
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34151
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.rightsAcesso Restrito
dc.subject.otherlanguageedge detection
dc.subject.otherlanguageinformation fusion
dc.subject.otherlanguagePolSAR
dc.subject.otherlanguagequality measures
dc.titleQuality Assessment Measures for Explainable Fusion Of Statistical Evidences of Edges in Polsar Images: A First Approach
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85178062124
local.scopus.updated2025-04-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85178062124&origin=inward
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