Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/122969
| Title: | A Non-Local Means Filters for Sar Speckle Reduction with Likelihood Ratio Test | Authors: | Wu, Jie Gómez Déniz, Luis Frery, Alejandro C. |
UNESCO Clasification: | 220990 Tratamiento digital. Imágenes | Keywords: | Likelihood ratio test Multiplicative model Non-local mean SAR Speckle reduction |
Issue Date: | 2022 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Journal: | IEEE International Geoscience and Remote Sensing Symposium proceedings | Conference: | IEEE International Symposium on Geoscience and Remote Sensing (IGARSS 2022) | Abstract: | 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 | Source: | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, p. 2319-2322 |
| Appears in Collections: | Actas de congresos |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.