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Two steps multi-temporal Non-Local Means for SAR images

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Date
2012
Dewey
Sciences connexes (physique, astrophysique)
Sujet
Image denoising; Multi-temporal SAR Images; Non-Local Means (NLM)
DOI
http://dx.doi.org/10.1109/IGARSS.2012.6351106
Conference name
IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012
Conference date
07-2012
Conference city
Munich
Conference country
Allemagne
Book title
IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012 - proceedings
Publisher
IEEE
Year
2012
ISBN
978-1-4673-1160-1
URI
https://basepub.dauphine.fr/handle/123456789/11656
Collections
  • CEREMADE : Publications
Metadata
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Author
Tupin, Florence
Xin, Su
Hong, Sun
Deledalle, Charles-Alban
Type
Communication / Conférence
Item number of pages
2008-2011
Abstract (EN)
This paper presents a denoising approach for multi-temporal Synthetic aperture radar (SAR) images based on Non-Local Means (NLM) method. To exploit redundancy existing in multi-temporal images, we develop a new strategy of NLM for multi-temporal data. Instead of directly overspreading the NLM operator from one image to temporal images, a two steps weighted average is proposed in this paper. The first step is a maximum likelihood estimate with binary weights on temporal pixels and the second step is iterative NL means on spatial pixels. Experiments in this paper illustrate that the proposed method can effectively exploit image redundancy and denoise multi-temporal images.

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