InSAR coherence estimation for temporal analysis and phase unwrapping applications

R. Abdelfattah; J. M. Nicolas; F. Tupin; B. Badredine

InSAR coherence estimation for temporal analysis and phase unwrapping applications

R. Abdelfattah
, J. M. Nicolas
, F. Tupin
, B. Badredine

Telecom Paris

Résultats de recherche: Contribution à une conférence › Papier › Revue par des pairs

Résumé

In SAR interferometry, coherence between data acquisitions is a potential information on the accuracy of interferograms. In this paper, a new coherence estimation approach is investigated. Our study is based on a binary mixture modelisation of coherence images. A Bayesian criteria is so used to discriminate between the two statistical mixed laws. It is shown that empirical coherence is biased and depends on the number of pixels averaged. The results of this paper can be applied to the estimation of the interferogram noise in interferometric SAR.

langue originale	Anglais
Pages	2292-2294
Nombre de pages	3
état	Publié - 1 déc. 2001
Evénement	2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australie Durée: 9 juil. 2001 → 13 juil. 2001

Une conférence

Une conférence	2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
Pays/Territoire	Australie
La ville	Sydney, NSW
période	9/07/01 → 13/07/01

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title = "InSAR coherence estimation for temporal analysis and phase unwrapping applications",

abstract = "In SAR interferometry, coherence between data acquisitions is a potential information on the accuracy of interferograms. In this paper, a new coherence estimation approach is investigated. Our study is based on a binary mixture modelisation of coherence images. A Bayesian criteria is so used to discriminate between the two statistical mixed laws. It is shown that empirical coherence is biased and depends on the number of pixels averaged. The results of this paper can be applied to the estimation of the interferogram noise in interferometric SAR.",

author = "R. Abdelfattah and Nicolas, \{J. M.\} and F. Tupin and B. Badredine",

year = "2001",

month = dec,

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AU - Abdelfattah, R.

AU - Nicolas, J. M.

AU - Tupin, F.

AU - Badredine, B.

PY - 2001/12/1

Y1 - 2001/12/1

N2 - In SAR interferometry, coherence between data acquisitions is a potential information on the accuracy of interferograms. In this paper, a new coherence estimation approach is investigated. Our study is based on a binary mixture modelisation of coherence images. A Bayesian criteria is so used to discriminate between the two statistical mixed laws. It is shown that empirical coherence is biased and depends on the number of pixels averaged. The results of this paper can be applied to the estimation of the interferogram noise in interferometric SAR.

AB - In SAR interferometry, coherence between data acquisitions is a potential information on the accuracy of interferograms. In this paper, a new coherence estimation approach is investigated. Our study is based on a binary mixture modelisation of coherence images. A Bayesian criteria is so used to discriminate between the two statistical mixed laws. It is shown that empirical coherence is biased and depends on the number of pixels averaged. The results of this paper can be applied to the estimation of the interferogram noise in interferometric SAR.

UR - https://www.scopus.com/pages/publications/0035569186

M3 - Paper

AN - SCOPUS:0035569186

SP - 2292

EP - 2294

T2 - 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)

Y2 - 9 July 2001 through 13 July 2001

ER -

InSAR coherence estimation for temporal analysis and phase unwrapping applications

Résumé

Une conférence

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