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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 / Conférence
Date
2012
Conference title
IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012
Conference date
2012-07
Conference city
Munich
Conference country
Allemagne
Book title
IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2012 - proceedings
Publisher
IEEE
ISBN
978-1-4673-1160-1
Pages
2008-2011
Publication identifier
Metadata
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Author(s)
Tupin, Florence cc
Xin, Su
Hong, Sun
Deledalle, Charles-Alban
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.
Subjects / Keywords
Image denoising; Multi-temporal SAR Images; Non-Local Means (NLM)