Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter
The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean squar...
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2020
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| Online Access: | http://hdl.handle.net/11073/21402 |
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| _version_ | 1864513432340922368 |
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| author | Yahia, Mohamed |
| author2 | Ali, Tarig Mortula, Maruf Abdelfattah, Riadh El Mahdy, Samy Arampola, Nuwanthi Sashipraba |
| author2_role | author author author author author |
| author_facet | Yahia, Mohamed Ali, Tarig Mortula, Maruf Abdelfattah, Riadh El Mahdy, Samy Arampola, Nuwanthi Sashipraba |
| author_role | author |
| dc.creator.none.fl_str_mv | Yahia, Mohamed Ali, Tarig Mortula, Maruf Abdelfattah, Riadh El Mahdy, Samy Arampola, Nuwanthi Sashipraba |
| dc.date.none.fl_str_mv | 2020 2021-04-12T09:41:32Z 2021-04-12T09:41:32Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Yahia, M., Ali, T., Mortula, M. M., Abdelfattah, R., Mahdy, S. E., & Arampola, N. S. (2020). Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 859–871. https://doi.org/10.1109/jstars.2020.2973920 2151-1535 http://hdl.handle.net/11073/21402 10.1109/jstars.2020.2973920 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/jstars.2020.2973920 |
| dc.subject.none.fl_str_mv | Iterative minimum mean square error (IMMSE) filter Nonlocal means filter Synthetic aperture radar (SAR) Speckle |
| dc.title.none.fl_str_mv | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. For instance, the iterative MMSE (IMMSE) filter that is commonly initialized by the boxcar filter maintains the initially filtered homogeneous areas and corrects the initially blurred spatial details after a few iterations. In this article, an effort is made to enhance the performance of the IMMSE filter in terms of speckle reduction and spatial detail preservation by refining the choice of the initial filter, optimizing its parameters, and improving the estimation of local statistics. Compared with the basic version, results showed that the improved iterative filter considerably enhanced the filtering criteria. When the improved iterative filtering process was initialized by the nonlocal mean filter, for few iterations, the filtering performances were improved. Simulated, airborne (ESAR, Oberpfaffenhofen Germany) and spaceborne (Sentinel 1, Palm Jumeirah Dubai UAE) SAR data were used to assess the filtering performances of the studied filters. |
| format | article |
| id | aus_c47bbf152c778583df06fc66db1a844b |
| identifier_str_mv | Yahia, M., Ali, T., Mortula, M. M., Abdelfattah, R., Mahdy, S. E., & Arampola, N. S. (2020). Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 859–871. https://doi.org/10.1109/jstars.2020.2973920 2151-1535 10.1109/jstars.2020.2973920 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21402 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Enhancement of SAR Speckle Denoising Using the Improved Iterative FilterYahia, MohamedAli, TarigMortula, MarufAbdelfattah, RiadhEl Mahdy, SamyArampola, Nuwanthi SashiprabaIterative minimum mean square error (IMMSE) filterNonlocal means filterSynthetic aperture radar (SAR)SpeckleThe recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. For instance, the iterative MMSE (IMMSE) filter that is commonly initialized by the boxcar filter maintains the initially filtered homogeneous areas and corrects the initially blurred spatial details after a few iterations. In this article, an effort is made to enhance the performance of the IMMSE filter in terms of speckle reduction and spatial detail preservation by refining the choice of the initial filter, optimizing its parameters, and improving the estimation of local statistics. Compared with the basic version, results showed that the improved iterative filter considerably enhanced the filtering criteria. When the improved iterative filtering process was initialized by the nonlocal mean filter, for few iterations, the filtering performances were improved. Simulated, airborne (ESAR, Oberpfaffenhofen Germany) and spaceborne (Sentinel 1, Palm Jumeirah Dubai UAE) SAR data were used to assess the filtering performances of the studied filters.American University of SharjahIEEE2021-04-12T09:41:32Z2021-04-12T09:41:32Z2020Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfYahia, M., Ali, T., Mortula, M. M., Abdelfattah, R., Mahdy, S. E., & Arampola, N. S. (2020). Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 859–871. https://doi.org/10.1109/jstars.2020.29739202151-1535http://hdl.handle.net/11073/2140210.1109/jstars.2020.2973920en_UShttps://doi.org/10.1109/jstars.2020.2973920oai:repository.aus.edu:11073/214022024-08-22T12:06:53Z |
| spellingShingle | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter Yahia, Mohamed Iterative minimum mean square error (IMMSE) filter Nonlocal means filter Synthetic aperture radar (SAR) Speckle |
| status_str | publishedVersion |
| title | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| title_full | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| title_fullStr | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| title_full_unstemmed | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| title_short | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| title_sort | Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter |
| topic | Iterative minimum mean square error (IMMSE) filter Nonlocal means filter Synthetic aperture radar (SAR) Speckle |
| url | http://hdl.handle.net/11073/21402 |