Sica, Francescopaolo (2016) Non-local methods for InSAR parameters estimation. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Non-local methods for InSAR parameters estimation
Creators:
CreatorsEmail
Sica, Francescopaolofr.sica@gmail.com
Date: 30 March 2016
Number of Pages: 191
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria elettronica e delle telecomunicazioni
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
nomeemail
Riccio, Danieledariccio@unina.it
Tutor:
nomeemail
Poggi, GiovanniUNSPECIFIED
Fornaro, GianfrancoUNSPECIFIED
Date: 30 March 2016
Number of Pages: 191
Keywords: Synthetic Aperture Radar, Interferometry, nonlocal filtering
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 - Telecomunicazioni
Date Deposited: 12 Apr 2016 22:16
Last Modified: 21 Apr 2017 01:00
URI: http://www.fedoa.unina.it/id/eprint/10880

Collection description

In the thesis work the nonlocal paradigm has been investigated in the framework of Multitemporal SAR Interferometry, e.g. Differential Interferometry, Tomography, etc., and single InSAR pair, e.g. DEM generation. In the former, Adaptive Multi-Looking methods have been developed for the generation of interferometric data-stacks. Following the nonlocal approach, the proposed methods rely only on similar pixels according to a suitable similarity measure that exploits the stack's temporal information. An hybrid approach that jointly uses the nonlocal paradigm and transform domain filtering has been investigated for InSAR pair phase estimation. On the track of the BM3D and SARBM3D algorithms, different approaches to the filtering in the transform domain are investigated. Furthermore, a novel approach to the similarity computation and filtering, based on a relative-topography content of the interferometric phase rather than its absolute value, is proposed.

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