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A decomposition model for scatterers change detection in multi-temporal series of SAR images

Sylvain Lobry 1, 2 Florence Tupin 1, 2 L. Denis 3
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
3 LHC - Laboratoire Hubert Curien [Saint Etienne]
Abstract : This paper presents a method for strong scatterers change de- tection in synthetic aperture radar (SAR) images based on a decomposition for multi-temporal series. The formulated de- composition model jointly estimates the background of the series and the scatterers. The decomposition model retrieves possible changes in scatterers and the date at which they oc- curred. An exact optimization method of the model is pre- sented and applied to a TerraSAR-X time series.
Keywords : Multi-Temporal Synthetic Aperture Radar (SAR) Change detection Image decomposition TV L0
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Conference papers
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https://hal.telecom-paris.fr/hal-02287350
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 4:53:27 PM
Last modification on : Wednesday, September 30, 2020 - 8:54:14 AM

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  • HAL Id : hal-02287350, version 1

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

Citation

Sylvain Lobry, Florence Tupin, L. Denis. A decomposition model for scatterers change detection in multi-temporal series of SAR images. IGARSS, Jul 2016, Pékin, China. ⟨hal-02287350⟩

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