Boccia, Valentina (2015) Bathymetric digital elevation model generation from L-band and X-band synthetic aperture radar images in the Gulf of Naples, Italy: innovative techniques and experimental results. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Bathymetric digital elevation model generation from L-band and X-band synthetic aperture radar images in the Gulf of Naples, Italy: innovative techniques and experimental results
Creators:
Creators
Email
Boccia, Valentina
valentina.boccia@unina.it
Date: 18 March 2015
Number of Pages: 153
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Industriale
Scuola di dottorato: Ingegneria industriale
Dottorato: Ingegneria aerospaziale, navale e della qualità
Ciclo di dottorato: 27
Coordinatore del Corso di dottorato:
nome
email
de Luca, Luigi
deluca@unina.it
Tutor:
nome
email
Moccia, Antonio
UNSPECIFIED
Vetrella, Sergio
UNSPECIFIED
Renga, Alfredo
UNSPECIFIED
Date: 18 March 2015
Number of Pages: 153
Keywords: SAR; Synthetic Aperture Radar; bathymetry; swell waves
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-IND/05 - Impianti e sistemi aerospaziali
Date Deposited: 09 Apr 2015 10:46
Last Modified: 25 Sep 2015 07:27
URI: http://www.fedoa.unina.it/id/eprint/10082
DOI: 10.6092/UNINA/FEDOA/10082

Collection description

The present Ph.D. Thesis investigates remote sensing bathymetric techniques in coastal area based on the use of Synthetic Aperture Radar (SAR) data. Since SAR signal is not able to pass sea surface and to reach sea bottom, indirect processes with sea floor morphology sensed through the effects it may have on sea surface are investigated. The conventional bathymetric techniques are briefly analyzed and the main advantages related to the use of remote sensing SAR-based bathymetric techniques highlighted. Proper sea surface modeling is performed and its interaction with SAR is investigated. Two different bathymetric techniques are proposed: the Wave-Based Approach (WBA) and the Current-Based Approach (CBA). Several theories for proper modeling of the involved phenomena and of their retrieval from SAR images are presented and the most promising are identified. An error budget analysis is performed and potential performance, specifications and requirements of the considered bathymetric approaches are described. With specific reference to the area of the Gulf of Naples, Italy, the Wave-Based Approach is selected because of current velocity being too slow or too irregular both in time and in intensity for proper application of the Current-Based Approach. Therefore, a WBA algorithm for sea surface spectrum retrieval from SAR data is proposed. The proposed WBA algorithm is applied on both L-band ALOS PALSAR images and X-band COSMO-SkyMed SAR images covering the area of the Gulf of Naples, Italy. The experimental results and the achieved improvements with respect to the approaches found in the available literature are presented. Digital Elevation Models (DEMs) of seabed are obtained and a correlation analysis with the retrieved water depth values from the official nautical charts provided by the Italian Navy Hydrographic Institute is performed.

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