Quality Assessment Measures for Explainable Fusion Of Statistical Evidences of Edges in Polsar Images: A First Approach
Tipo
Artigo de evento
Data de publicação
2023
Periódico
International Geoscience and Remote Sensing Symposium (IGARSS)
Citações (Scopus)
0
Autores
Alpala R.J.
De Borba A.A.
Frery A.C.
De Borba A.A.
Frery A.C.
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Título de Volume
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Resumo
© 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.