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dc.contributor.authorTupin, Florence
dc.contributor.authorXin, Su
dc.contributor.authorHong, Sun
dc.contributor.authorDeledalle, Charles-Alban
dc.date.accessioned2013-09-12T10:47:14Z
dc.date.available2013-09-12T10:47:14Z
dc.date.issued2012
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/11656
dc.language.isoenen
dc.subjectImage denoisingen
dc.subjectMulti-temporal SAR Imagesen
dc.subjectNon-Local Means (NLM)en
dc.subject.ddc520en
dc.titleTwo steps multi-temporal Non-Local Means for SAR imagesen
dc.typeCommunication / Conférence
dc.description.abstractenThis 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.en
dc.identifier.citationpages2008-2011en
dc.relation.ispartoftitleIEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012 - proceedingsen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2012
dc.subject.ddclabelSciences connexes (physique, astrophysique)en
dc.relation.ispartofisbn978-1-4673-1160-1en
dc.relation.conftitleIEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012en
dc.relation.confdate2012-07
dc.relation.confcityMunichen
dc.relation.confcountryAllemagneen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1109/IGARSS.2012.6351106en


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