A Non-Local Means Filters for Sar Speckle Reduction with Likelihood Ratio Test

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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