A Novel Approach Based on Marine Radar Data Analysis for High-Resolution Bathymetry Map Generation

This letter deals with the analysis of a novel data processing approach to estimate the local depth in a shallow coastal area starting from data collected by an in situ X-band radar system. The reconstruction approach is based on the maximization of the normalized scalar product (NSP) between the measured and the theoretical wave dispersion relation, which embeds the dependence on the searched for parameter (local depth). The use of NSP approach allows obtaining a high-resolution spatial map of the investigated area, and a thorough statistical analysis is carried out by comparing the local depth estimation results with the ground-truth data made available by a multi-beam echo-sounder survey. In addition, the improved accuracy of the NSP approach is demonstrated with respect to other methods previously used for the analysis of the same area.

[1]  Jörg Seemann,et al.  Determination of Bathymetric and Current Maps by the Method DiSC Based on the Analysis of Nautical X-Band Radar Image Sequences of the Sea Surface (November 2007) , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Paul S. Bell,et al.  Shallow water bathymetry derived from an analysis of X-band marine radar images of waves , 1999 .

[3]  Paul S. Bell,et al.  Nested Radar Systems for Remote Coastal Observations , 2006 .

[4]  P. Bell.  Mapping Shallow Water Coastal Areas Using a Standard Marine X-Band Radar , 2008 .

[5]  Francesco Soldovieri,et al.  REMOCEAN: A Flexible X-Band Radar System for Sea-State Monitoring and Surface Current Estimation , 2012, IEEE Geoscience and Remote Sensing Letters.

[6]  Paul S. Bell,et al.  Mapping bathymetry using X-band marine radar data recorded from a moving vessel , 2011 .

[7]  Francesco Soldovieri,et al.  X-Band Marine Radar System for High-Speed Navigation Purposes: A Test Case on a Cruise Ship , 2014, IEEE Geoscience and Remote Sensing Letters.

[8]  Friedwart Ziemer,et al.  COSYNA, an integrated coastal observation system for Northern and Arctic Seas , 2009, OCEANS 2009-EUROPE.

[9]  Friedwart Ziemer,et al.  Storm Impact on the Coastal Geomorphology and Current Field by Wave Field Image Sequences , 2012 .

[10]  G. M. Jahid Hasan,et al.  Observation of a Stormy Wave Field with X-Band Radar and its Linear Aspects , 2007 .

[11]  Jörg Seemann,et al.  Local Analysis of Inhomogeneous Sea Surfaces in Coastal Waters Using Nautical Radar Image Sequences , 2000, DAGM-Symposium.

[12]  Jörg Seemann,et al.  The Influence of the Inverted Sea Wave Theories on the Derivation of Coastal Bathymetry , 2011, IEEE Geoscience and Remote Sensing Letters.

[13]  Katrin Hessner,et al.  Nautical radar measurements in Europe: applications of WaMoS II as a sensor for sea state, current and bathymetry , 2008 .

[14]  Francesco Soldovieri,et al.  Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results , 2010, Sensors.

[15]  Christian M. Senet.  Dynamics of Dispersive Boundaries: The Determination of Spatial Hydrographic-Parameter Maps from Optical Sea-Surface Image Sequences , 2004 .

[16]  Francesco Soldovieri,et al.  A Novel Strategy for the Surface Current Determination From Marine X-Band Radar Data , 2010, IEEE Geoscience and Remote Sensing Letters.

[17]  Jörg Seemann,et al.  Accuracy of Bathymetric Assessment by Locally Analyzing Radar Ocean Wave Imagery (February 2008) , 2008, IEEE Transactions on Geoscience and Remote Sensing.