Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/122969
Título: A Non-Local Means Filters for Sar Speckle Reduction with Likelihood Ratio Test
Autores/as: Wu, Jie
Gómez Déniz, Luis 
Frery, Alejandro C. 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Palabras clave: Likelihood ratio test
Multiplicative model
Non-local mean
SAR
Speckle reduction
Fecha de publicación: 2022
Editor/a: Institute of Electrical and Electronics Engineers (IEEE) 
Publicación seriada: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conferencia: IEEE International Symposium on Geoscience and Remote Sensing (IGARSS 2022) 
Resumen: SAR imagery is always accompanied by speckle because it is obtained with coherent illumination. Given the multiplica-tive property of speckle, ratio-based metrics are widely used in SAR image quality assessment. In this paper, using the hy-potheses testing principle, a likelihood ratio test (LRT) based metric was designed for similarity measure in intensity SAR imagery. Then, using non-local means (NLM) scheme, an LRT-based NLM filter was proposed for speckle reduction of SAR imagery. In the experiments, using simulated intensity speckled images, the performance of the designed method is analyzed.
URI: http://hdl.handle.net/10553/122969
ISBN: 978-1-6654-2792-0
ISSN: 2153-6996
DOI: 10.1109/IGARSS46834.2022.9883822
Fuente: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, p. 2319-2322
Colección:Actas de congresos
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