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

Xin Su; Charles Alban Deledalle; Florence Tupin; Hong Sun

doi:10.1109/IGARSS.2012.6351106

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

Xin Su, Charles Alban Deledalle, Florence Tupin, Hong Sun

Research output: Contribution to conference › Paper › peer-review

Abstract

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.

Original language	English
Pages	2008-2011
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351106
Publication status	Published - 1 Dec 2012
Externally published	Yes
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

Keywords

Image denoising
Multi-temporal SAR Images
Non-Local Means (NLM)

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10.1109/IGARSS.2012.6351106

Cite this

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title = "Two steps multi-temporal Non-Local Means for SAR images",

abstract = "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.",

keywords = "Image denoising, Multi-temporal SAR Images, Non-Local Means (NLM)",

author = "Xin Su and Deledalle, \{Charles Alban\} and Florence Tupin and Hong Sun",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2012.6351106",

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TY - CONF

T1 - Two steps multi-temporal Non-Local Means for SAR images

AU - Su, Xin

AU - Deledalle, Charles Alban

AU - Tupin, Florence

AU - Sun, Hong

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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.

AB - 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.

KW - Image denoising

KW - Multi-temporal SAR Images

KW - Non-Local Means (NLM)

U2 - 10.1109/IGARSS.2012.6351106

DO - 10.1109/IGARSS.2012.6351106

M3 - Paper

AN - SCOPUS:84873131703

SP - 2008

EP - 2011

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

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

Abstract

Conference

Keywords

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Cite this