AN AUTOMATIC PROCEDURE FOR IMPROVING SEA SURFACE WIND FIELD ESTIMATION FROM X-BAND COSMO-SKYMED SAR DATA

摘要

The Synthetic Aperture Radar (SAR) has been increasingly used as the key sensor for extracting environmental information over the ocean surface and in particular for characterizing a wide range of ocean parameters such as waves, wind, surf and currents. In particular, ScanSAR acquisition mode has been widely employed for sea surface observation due to its peculiarities to provide data with huge swath and low revisit time. In SAR data the study of ocean parameters depend on the atmosphere-sea surface interaction that results in features and imprints appearance, e.g. wind direction retrieval is achievable from the orientation of Atmospheric Boundary Layer (ABL) rolls. Unfortunately, features extraction can be corrupted by the presence of processing artifacts, i.e. scalloping, and atmospheric artifacts that hamper image interpretation. In this paper, an automatic procedure able to perform scalloping suppression and atmospheric fronts analysis over Multi-Look Ground Detected (MGD) ScanSAR HugeRegion X-band Cosmo-SkyMed(CSK) is presented. Experimental results confirm the physical soundness of the proposed model from an operational view point.