Gamma mixture modeled with "second kind statistics": Application to SAR image processing

J. M. Nicolas; F. Tupin

Gamma mixture modeled with "second kind statistics": Application to SAR image processing

J. M. Nicolas
, F. Tupin

Telecom Paris

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

Résumé

SAR images are classically analyzed with the help of Goodman approach and multiplicative noise. By this way, speckle is modeled by a Gamma law (for intensity images). A new approach based on "second kind statistics" [1] identifies multiplicative noise as a "Mellin convolution" [2] yielding oversimple expression when texture is not homogeneous. In this article, we propose to use this new approach for solving the problem of binary additive mixture of Gamma law[3] and to apply the results to SAR image processing.

langue originale	Anglais
Pages	2489-2491
Nombre de pages	3
état	Publié - 1 janv. 2002
Evénement	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada Durée: 24 juin 2002 → 28 juin 2002

Une conférence

Une conférence	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Pays/Territoire	Canada
La ville	Toronto, Ont.
période	24/06/02 → 28/06/02

Contient cette citation

@conference{b0187b69c34a41f9b7e4cb66a57744db,

title = "Gamma mixture modeled with {"}second kind statistics{"}: Application to SAR image processing",

abstract = "SAR images are classically analyzed with the help of Goodman approach and multiplicative noise. By this way, speckle is modeled by a Gamma law (for intensity images). A new approach based on {"}second kind statistics{"} [1] identifies multiplicative noise as a {"}Mellin convolution{"} [2] yielding oversimple expression when texture is not homogeneous. In this article, we propose to use this new approach for solving the problem of binary additive mixture of Gamma law[3] and to apply the results to SAR image processing.",

author = "Nicolas, \{J. M.\} and F. Tupin",

year = "2002",

month = jan,

day = "1",

language = "English",

pages = "2489--2491",

note = "2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) ; Conference date: 24-06-2002 Through 28-06-2002",

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T2 - 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)

AU - Nicolas, J. M.

AU - Tupin, F.

PY - 2002/1/1

Y1 - 2002/1/1

N2 - SAR images are classically analyzed with the help of Goodman approach and multiplicative noise. By this way, speckle is modeled by a Gamma law (for intensity images). A new approach based on "second kind statistics" [1] identifies multiplicative noise as a "Mellin convolution" [2] yielding oversimple expression when texture is not homogeneous. In this article, we propose to use this new approach for solving the problem of binary additive mixture of Gamma law[3] and to apply the results to SAR image processing.

AB - SAR images are classically analyzed with the help of Goodman approach and multiplicative noise. By this way, speckle is modeled by a Gamma law (for intensity images). A new approach based on "second kind statistics" [1] identifies multiplicative noise as a "Mellin convolution" [2] yielding oversimple expression when texture is not homogeneous. In this article, we propose to use this new approach for solving the problem of binary additive mixture of Gamma law[3] and to apply the results to SAR image processing.

M3 - Paper

AN - SCOPUS:0036400470

SP - 2489

EP - 2491

Y2 - 24 June 2002 through 28 June 2002

ER -

Gamma mixture modeled with "second kind statistics": Application to SAR image processing

Résumé

Une conférence

Empreinte digitale

Contient cette citation