Evaluation of speckle noise MAP filtering algorithms applied to SAR images
This work proposes new speckle reduction filters for multi-look, amplitude-detected Synthetic Aperture Radar (SAR) images based on the maximum a posteriori (MAP) approach and compares their performance. The new filters use an adaptive approach based on the one-dimensional k-means clustering algorith...
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| Published in | International journal of remote sensing Vol. 24; no. 24; pp. 5197 - 5218 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis Group
01.01.2003
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| Online Access | Get full text |
| ISSN | 0143-1161 1366-5901 |
| DOI | 10.1080/0143116031000115148 |
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| Abstract | This work proposes new speckle reduction filters for multi-look, amplitude-detected Synthetic Aperture Radar (SAR) images based on the maximum a posteriori (MAP) approach and compares their performance. The new filters use an adaptive approach based on the one-dimensional k-means clustering algorithm over the variance ratio and also a region-growing procedure. The trade-off between the loss of radiometric resolution and edge preservation is evaluated in the filtered images. In order to obtain quantitative measures of the speckle reduction and of the edge blurring, we used some parameters such as the classical equivalent number of looks and the Hough transform. Experiments have been carried out with natural images corrupted with synthetic speckle noise following the Rayleigh and square root of gamma distributions and with real SAR images. |
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| AbstractList | This work proposes new speckle reduction filters for multi-look, amplitude-detected Synthetic Aperture Radar (SAR) images based on the maximum a posteriori (MAP) approach and compares their performance. The new filters use an adaptive approach based on the one-dimensional k-means clustering algorithm over the variance ratio and also a region-growing procedure. The trade-off between the loss of radiometric resolution and edge preservation is evaluated in the filtered images. In order to obtain quantitative measures of the speckle reduction and of the edge blurring, we used some parameters such as the classical equivalent number of looks and the Hough transform. Experiments have been carried out with natural images corrupted with synthetic speckle noise following the Rayleigh and square root of gamma distributions and with real SAR images. |
| Author | Costa, L. F. Medeiros, F. N. S. Mascarenhas, N. D. A. |
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| CitedBy_id | crossref_primary_10_1002_env_881 crossref_primary_10_1109_TSMCC_2008_2006685 crossref_primary_10_1080_01431161_2011_614286 crossref_primary_10_3390_rs12233980 crossref_primary_10_1016_j_patcog_2009_05_012 crossref_primary_10_1016_j_dsp_2009_10_014 |
| Cites_doi | 10.1109/TPAMI.1980.4766994 10.1016/S0146-664X(81)80005-6 10.1109/SIBGRA.1999.805744 10.1016/S0168-9002(98)00925-5 10.1109/IGARSS.1990.689026 10.1080/02757259409532206 10.1080/01431168808954883 10.1109/TASSP.1987.1165131 10.1109/36.35954 10.1016/S0734-189X(88)80033-1 |
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| Title | Evaluation of speckle noise MAP filtering algorithms applied to SAR images |
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