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Conference papers

SAR image despeckling using pre-trained convolutional neural network models

Xiangli Yang L. Denis 1 Florence Tupin 2, 3 Wen Yang
1 LHC - Laboratoire Hubert Curien [Saint Etienne]
2 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
3 IDS - Département Images, Données, Signal
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Conference papers
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https://hal.telecom-paris.fr/hal-02292438
Contributor : Telecomparis Hal Connect in order to contact the contributor
Submitted on : Thursday, September 19, 2019 - 7:13:54 PM
Last modification on : Wednesday, November 3, 2021 - 6:22:42 AM

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  • HAL Id : hal-02292438, version 1

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IOGS | LTCI | CNRS | UNIV-ST-ETIENNE | PARISTECH | INSTITUT-TELECOM | IDS | IMAGES | UDL

Citation

Xiangli Yang, L. Denis, Florence Tupin, Wen Yang. SAR image despeckling using pre-trained convolutional neural network models. JURSE, May 2019, Vannes, France. ⟨hal-02292438⟩

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