Affiliation : Department of Telecommunications,University of Sciences and Technology Houari Boumediene (USTHB)
Country : Algeria
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 8, 8, May, 2018
Abstract :
The progressive development of Synthetic Aperture Radar (SAR) systems diversify the exploitation of the generated images by these systems in different applications of geoscience.Detection and monitoring surface deformations, procreated by various phenomena had benefited from this evolution and had been realized by interferometry (InSAR) and differential interferometry (DInSAR) techniques. Nevertheless, spatial and temporal decorrelations of the interferometric couples used, limit strongly the precision of analysis results by these techniques. In this context, we propose, in this work, a methodological approach of surface deformation detection and analysis by differential interferograms to show the limits of this technique according to noise quality and level. The detectability model is generated from the deformation signatures, by simulating a linear fault merged to the images couples of ERS1 / ERS2 sensors acquired in a region of the Algerian south.
Keyword : Radar Interferometry (InSAR & DInSAR), Surface Deformation Gradient (SDG), Coherence, Resolution, Filtering
For More Details : https://airccj.org/CSCP/vol8/csit88810.pdf
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