Title :
Seismic source parameters from InSAR data trough neural networks [trough reads through]
Author :
Del Frate, Fabio ; Rossi, Fabrizio ; Schiavon, Giovanni ; Stramondo, Salvatore
Author_Institution :
Dipt. di Informatica Sistemi e Produzione, Tor Vergata Univ., Rome, Italy
Abstract :
In the recent years InSAR (Synthetic Aperture Radar Interferometry) technique showed its wide potentialities to detect the surface displacement field due to an earthquake. Of great interest and usefulness in this context is the solution of the inverse problem that means to recover the source parameters from the knowledge of InSAR surface displacement field. In this work a novel approach for the solution of such a problem is presented.
Keywords :
earthquakes; geophysical techniques; geophysics computing; inverse problems; neural nets; radiowave interferometry; remote sensing by radar; seismology; synthetic aperture radar; InSAR data; earthquake; inverse problem; neural networks; seismic parameter detection; seismic source parameters; surface displacement field; synthetic aperture radar interferometry; Earthquakes; Geometry; Inverse problems; Landmine detection; Neural networks; Radar detection; Radar remote sensing; Solid modeling; Synthetic aperture radar; Synthetic aperture radar interferometry;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370322
