Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

A. Pižurica; W. Philips; I. Lemahieu; M. Acheroy

Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

A. Pižurica, W. Philips, I. Lemahieu, M. Acheroy

Communication, Information, Systems and Sensors

University of Ghent

Publikation: Unpublished contribution to conference › Papier › Begutachtung

Abstract

We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.

Originalsprache	Englisch
Seiten	233-236
Seitenumfang	4
Publikationsstatus	Veröffentlicht - 2001
Veranstaltung	IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Griechenland Dauer: 7 Okt. 2001 → 10 Okt. 2001

Konferenz

Konferenz	IEEE International Conference on Image Processing (ICIP)
Land/Gebiet	Griechenland
Ort	Thessaloniki
Zeitraum	7/10/01 → 10/10/01

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abstract = "We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.",

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year = "2001",

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T1 - Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

AU - Pižurica, A.

AU - Philips, W.

AU - Lemahieu, I.

AU - Acheroy, M.

PY - 2001

Y1 - 2001

N2 - We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.

AB - We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.

UR - https://www.scopus.com/pages/publications/0035163997

M3 - Paper

AN - SCOPUS:0035163997

SP - 233

EP - 236

T2 - IEEE International Conference on Image Processing (ICIP)

Y2 - 7 October 2001 through 10 October 2001

ER -

Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

Abstract

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