Fusion of Evidences for Edge Detection in PolSAR Images

dc.contributor.authorDe Borba A.A.
dc.contributor.authorMarengoni M.
dc.contributor.authorFrery A.C.
dc.date.accessioned2024-03-12T23:51:33Z
dc.date.available2024-03-12T23:51:33Z
dc.date.issued2019
dc.description.abstract© 2019 IEEE.Polarimetric Synthetic Aperture Radar (PolSAR) has achieved an important position as a remote sensing imaging method. However, PolSAR images are contaminated with speckle noise, making its processing and analysis challenging tasks. The present study discusses a detection method based on the fusion of evidences obtained in the intensity channels of multilook PolSAR images. The method consists of detecting transition points in the finest strip of data which spans two regions using the maximum likelihood. This is applied to each of the three intensity channels (hh), (hv) and (vv). The fusion methods are simple average, stationary wavelet transform (SWT), principal component analysis (PCA), and ROC statistics. The results indicate improvement performance of the approach in detecting edges with possible paths for future research.
dc.description.firstpage80
dc.description.lastpage85
dc.identifier.doi10.1109/TENGARSS48957.2019.8976040
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35181
dc.relation.ispartofProceedings of the 2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications, TENGARSS 2019
dc.rightsAcesso Restrito
dc.subject.otherlanguageedge detection
dc.subject.otherlanguagefusion
dc.subject.otherlanguagemaximum likelihood estimation
dc.subject.otherlanguagePolSAR
dc.titleFusion of Evidences for Edge Detection in PolSAR Images
dc.typeArtigo de evento
local.scopus.citations4
local.scopus.eid2-s2.0-85078744978
local.scopus.subjectDetection methods
local.scopus.subjectFusion methods
local.scopus.subjectPolarimetric synthetic aperture radars
local.scopus.subjectPolSAR
local.scopus.subjectRemote sensing imaging
local.scopus.subjectSpeckle noise
local.scopus.subjectStationary wavelet transforms
local.scopus.subjectTransition point
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078744978&origin=inward
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