Sica, Francescopaolo
(2016)
Non-local methods for InSAR parameters estimation.
[Tesi di dottorato]
| Item Type: |
Tesi di dottorato
|
| Resource language: |
English |
| Title: |
Non-local methods for InSAR parameters estimation |
| Creators: |
| Creators | Email |
|---|
| Sica, Francescopaolo | fr.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: |
| nome | email |
|---|
| Riccio, Daniele | dariccio@unina.it |
|
| Tutor: |
| nome | email |
|---|
| Poggi, Giovanni | UNSPECIFIED | | Fornaro, Gianfranco | UNSPECIFIED |
|
| 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 |
[error in script]
[error in script]
| 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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