Fusion of Evidences for Edge Detection in PolSAR Images
Tipo
Artigo de evento
Data de publicação
2019
Periódico
Proceedings of the 2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications, TENGARSS 2019
Citações (Scopus)
4
Autores
De Borba A.A.
Marengoni M.
Frery A.C.
Marengoni M.
Frery A.C.
Orientador
Título da Revista
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Título de Volume
Membros da banca
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Resumo
© 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.
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Assuntos Scopus
Detection methods , Fusion methods , Polarimetric synthetic aperture radars , PolSAR , Remote sensing imaging , Speckle noise , Stationary wavelet transforms , Transition point