X-Band marine radars have been broadly used as a coastal remote sensing tool since they are able to scan the roughness of sea surface with high spatial and temporal resolution. However, radar estimates are strongly affected by shadowing effects at extreme grazing incidence angles, mainly when the radar antenna is deployed below 50 m above the mean sea level (MSL). The present study presents a novel methodology based on filtering and interpolation techniques in order to improve the estimation accuracy of sea state parameters in coastal areas. The method differs from previous approaches since it employs enhancement techniques using intensities data beam by beam of the sea clutter image and considering extreme grazing incident angles from electromagnetic signal instead of offshore empirical MTF correction and calibration with in situ sensors. A FURUNO FR-8252 X-Band marine radar was deployed in Salgar (Colombia) at about 20 meters above the mean sea level to test the performance of the proposed methodology. Validation was performed with in situ data from a Nortek AWAC (Acoustic Wave and Current) sensor located at 1.4 km away from the radar antenna. Results show that the significant wave height was retrieved with 0.6% error (about -1.21 cm) and the estimation errors of the peak period and the peak wave direction were below to 0.75 seconds and 4°, respectively. The wave frequency spectra derived from radar estimates, AWAC record and JONSWAP spectrum are presented to illustrate the improvement resulting from the proposed methodology over frequency domain.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.