test_moissonnage_selune
type: Agent

Fusion of displacement measurements from SAR imagery : application to seismo-volcanic modeling
type: Dataset
contact point: Organization
  fn: CCSD
keyword: theses
keyword: displacement-measurement
keyword: spiotherengineering-sciences-physicsother
keyword: geophysical-modeling
keyword: infoeu-reposemanticsdoctoralthesis
keyword: modelisation-geophysique
keyword: mesure-de-deplacement
keyword: fusion-dinformations
keyword: sdustusciences-of-the-universe-physicsearth-sciences
keyword: sar-imagery
keyword: information-fusion
keyword: imagerie-sar
landing page: https://theses.hal.science/tel-00667990
description: Following the successive launches of satellites for Earth observation with SAR (Synthetic Aperture Radar) sensor, the volume of available radar data is increasing considerably. In this context, fusion of displacement measurements from SAR imagery is promising both in the community of remote sensing and in geophysics. With this in mind, this Ph.D thesis proposes to extend conventional approaches by combining SAR image processing techniques, information fusion methods and the knowledge on geophysics. First, this Ph.D thesis aims to explore several fusion strategies, joint inversion, pre-fusion and post-fusion, to reduce the uncertainty associated on the one hand to the estimation of the 3-dimensional (3D) displacement at the Earth's surface, on the other hand to physical modeling that describes the source in depth of the displacement observed at the Earth's surface. We evaluate advantages and disadvantages of each fusion strategy in terms of reducing uncertainty and of robustness against noise. Second, we aim to take account of epistemic uncertainty, in addition to the random uncertainty present in the measurements and propose the conventional and fuzzy approaches based on probability theory and possibility theory respectively to model these uncertainties. We analyze and highlight the efficiency of each approach in context of each fusion strategy. The first application consists of estimating the 3D displacement fields at the Earth's surface due to the Kashmir earthquake in October 2005 and the eruption of Piton de la Fournaise in January 2004 on Reunion Island. The second application involves the modeling of the fault rupture in depth related to the Kashmir earthquake. The main achievements and contributions are evaluated from a methodological point of view in information processing and from a geophysical point of view. In the methodological view, in order to address the major difficulties encountered in the application of differential interferometry for measuring the…
identifier: NNT: 2011GRENA028
issued: 2026-05-26T14:29:50.733668
language: fr
modified: 2026-05-26T14:29:50.733673

Fusion of displacement measurements from SAR imagery : application to seismo-volcanic modeling
type: Distribution
access URL: https://theses.hal.science/tel-00667990
format: HTML
issued: 2026-05-26T14:29:50.762146
modified: 2026-05-26T14:29:50.704016