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

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.

Document type :
Conference papers
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https://hal.telecom-paristech.fr/hal-02287350
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Submitted on : Friday, September 13, 2019 - 4:53:27 PM
Last modification on : Sunday, September 15, 2019 - 1:12:24 AM

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  • HAL Id : hal-02287350, version 1

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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