Noviello, Carlo
(2015)
Techniques for Inverse Synthetic Aperture Radar Imaging and monitoring of Deformation with Differential Interferometric Synthetic Aperture Radar.
[Tesi di dottorato]
| Item Type: |
Tesi di dottorato
|
| Resource language: |
English |
| Title: |
Techniques for Inverse Synthetic Aperture Radar Imaging and monitoring of Deformation with Differential Interferometric Synthetic Aperture Radar |
| Creators: |
| Creators | Email |
|---|
| Noviello, Carlo | carlonoviello@hotmail.com |
|
| Date: |
27 March 2015 |
| Number of Pages: |
160 |
| 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: |
27 |
| Coordinatore del Corso di dottorato: |
| nome | email |
|---|
| Riccio, Daniele | dariccio@unina.it |
|
| Tutor: |
| nome | email |
|---|
| Conte, Ernesto | UNSPECIFIED | | Fornaro, Gianfranco | UNSPECIFIED |
|
| Date: |
27 March 2015 |
| Number of Pages: |
160 |
| Keywords: |
ISAR, SAR, DInSAR |
| Settori scientifico-disciplinari del MIUR: |
Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 - Telecomunicazioni |
| Aree tematiche (7° programma Quadro): |
TECNOLOGIE DELL'INFORMAZIONE E DELLA COMUNICAZIONE > Trasporti, telecomunicazioni, attrezzature mediche, etc. Tecnologie della fotonica, plastiche elettroniche, display flessibili e micro e nano sistemi |
[error in script]
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| Date Deposited: |
07 Apr 2015 10:46 |
| Last Modified: |
24 Sep 2015 10:05 |
| URI: |
http://www.fedoa.unina.it/id/eprint/10147 |
| DOI: |
10.6092/UNINA/FEDOA/10147 |
Collection description
In the last decades, the growing interest in the field of homeland security and the risk monitoring, associated with natural and human induced hazards, has boosted the development of advanced radar techniques for generating high resolution radar images. Inverse and direct Synthetic Aperture Radar (ISAR/SAR) are two well radar techniques which exploit the relative motion between the target and the sensor for generating high resolution radar images of the target of interest. In this thesis a novel ISAR autofocus technique has been addressed by exploiting the estimation of the radar signal Doppler parameters. It has been tested on real datasets, and, the experimental results have been compared with the Image Contrast Autofocus Technique. Furthermore, a procedure for the mitigation of the atmospheric delay variation, which represents a main limitation for the detection and the monitoring of weak deformation patterns in Differential SAR Interferometry (DInSAR) has been discussed. It is based on the integration of GPS atmospheric delay measurements in the multipass DInSAR processing chain. The newest algorithm has been tested on post-seismic deformation occurring in the area of L'Aquila (Italy), hit by a critical seismic sequence in 2009.
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