
Two steps multi-temporal Non-Local Means for SAR images
Tupin, Florence; Xin, Su; Hong, Sun; Deledalle, Charles-Alban (2012), Two steps multi-temporal Non-Local Means for SAR images, IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012 - proceedings, IEEE, p. 2008-2011. http://dx.doi.org/10.1109/IGARSS.2012.6351106
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Type
Communication / ConférenceDate
2012Conference title
IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012Conference date
2012-07Conference city
MunichConference country
AllemagneBook title
IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012 - proceedingsPublisher
IEEE
ISBN
978-1-4673-1160-1
Pages
2008-2011
Publication identifier
Metadata
Show full item recordAbstract (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.Subjects / Keywords
Image denoising; Multi-temporal SAR Images; Non-Local Means (NLM)Related items
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