| A recursive filter for despeckling SAR images. | |
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MedLine Citation:
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PMID: 18784043 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This correspondence proposes a recursive algorithm for noise reduction in synthetic aperture radar imagery. Excellent despeckling in conjunction with feature preservation is achieved by incorporating a discontinuity-adaptive Markov random field prior within the unscented Kalman filter framework through importance sampling. The performance of this method is demonstrated on both synthetic and real examples. |
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Authors:
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G R K S Subrahmanyam; A N Rajagopalan; R Aravind |
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Publication Detail:
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Type: Letter; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: 17 ISSN: 1057-7149 ISO Abbreviation: IEEE Trans Image Process Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-09-11 Completed Date: 2008-10-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: United States |
Other Details:
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Languages: eng Pagination: 1969-74 Citation Subset: IM |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Radar* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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