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A Feasibility Study of Nearshore Bathymetry Estimation via Short-Range K-Band MIMO Radar.

Authors :
Ludeno, Giovanni
Antuono, Matteo
Soldovieri, Francesco
Gennarelli, Gianluca
Source :
Remote Sensing. Jan2024, Vol. 16 Issue 2, p261. 17p.
Publication Year :
2024

Abstract

This paper provides an assessment of a 24 GHz multiple-input multiple-output radar as a remote sensing tool to retrieve bathymetric maps in coastal areas. The reconstruction procedure considered here exploits the dispersion relation and has been previously employed to elaborate the data acquired via X-band marine radar. The estimation capabilities of the sensor are investigated firstly on synthetic radar data. With this aim, case studies referring to sea waves interacting with a constant and a spatially varying bathymetry are both considered. Finally, the reconstruction procedure is tested by processing real data recorded at Bagnoli Bay, Naples, South Italy. The preliminary results shown here confirm the potential of the radar sensor as a tool for sea wave monitoring. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
16
Issue :
2
Database :
Academic Search Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
175130455
Full Text :
https://doi.org/10.3390/rs16020261