Poreh, DAVOD (2017) Electromagnetic modeling for SAR polarimetry and interferometry. [Tesi di dottorato]

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Item Type:	Tesi di dottorato
Resource language:	English
Title:	Electromagnetic modeling for SAR polarimetry and interferometry
Creators:	Creators Email Poreh, DAVOD d.poreh@gmail.com
Date:	11 December 2017
Number of Pages:	164
Institution:	Università degli Studi di Napoli Federico II
Department:	dep10
Dottorato:	phd034
Ciclo di dottorato:	30
Coordinatore del Corso di dottorato:	nome email Riccio, Daniele daniele.riccio@unina.it
Tutor:	nome email Riccio, Daniele UNSPECIFIED
Date:	11 December 2017
Number of Pages:	164
Keywords:	RADAR, SAR, PSI, Interferometry
Settori scientifico-disciplinari del MIUR:	Area 09 - Ingegneria industriale e dell'informazione > ING-INF/02 - Campi elettromagnetici
Date Deposited:	26 Jan 2018 13:15
Last Modified:	19 Mar 2019 11:36
URI:	http://www.fedoa.unina.it/id/eprint/12229

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Investigation of the globe remotely from hundreds of kilometers altitude, and fast growing of environmental and civil problems, triggered the necessity of development of new and more advanced techniques. Electromagnetic modeling of polarimetry and interferometry has always been a key driver in remote sensing research, ever since of the First pioneering sensors were launched. Polarimetric and interferometric SAR (Synthetic Aperture Radar) surveillance and mapping of the Earth surface has been attracting lots of interest since 1970s. This thesis covers two SAR's main techniques: (1) space-borne Interferometric Synthetic Aperture Radar (InSAR), which has been used to measure the Earth's surface deformation widely, and (2) SAR Polarimetry, which has been used to retrieve soil and vegetation physical parameters in wide areas. Time-series InSAR methodologies such as PSI (Permanent Scatterer Interferometry) are designed to estimate the temporal characteristics of the Earth's deformation rates from multiple InSAR images acquired over time. These techniques also enable us to overcome the limitations that conventional InSAR suffer, with a very high accuracy and precision. In this thesis, InSAR time-series analysis and modeling basis, as well as a case study in the Campania region (Italy), have been addressed. The Campania region is characterized by intense urbanization, active volcanoes, complicated fault systems, landslides, subsidence, and hydrological instability; therefore, the stability of public transportation structures is highly concerned. Here Differential Interferometric Synthetic Aperture Radar (DInSAR), and PSI techniques have been applied to a stack of 25 X-band radar images of Cosmo-SkyMed (CSK) satellites collected over an area in Campania (Italy), in order to monitor the railways' stability. The study area was already under investigation with older, low-resolution sensors like ERS1&2 and ENVISAT-ASAR before, but the number of obtained persistent scatterers (PSs) was too limited to get useful results. With regard to SAR polarimetry, in this thesis a fully polarimetirc SAR simulator has been presented, which is based on the use of sound direct electromagnetic models and it is able to provide as output the simulated raw data of all the three polarization channels in such a way as to obtain the correct covariance or coherence matrixes on the final focused polarimetic radar images. A fast Fourier-domain approach is used for the generation of raw signals. Presentation of theory is supplemented by meaningful experimental results, including a comparison of simulations with real polarimetric scattering data.

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