ABSTRACT
In this study, full-polarimetric synthetic aperture radar measurements are used for coastline extraction and to provide a rough classification of the inland area close to the extracted coastline according to the dominant scattering mechanisms. Scattering-based parameters, derived from the Freeman–Durden (FD) decomposition, are exploited to both extract the coastline and classify the inland area. With respect to coastline extraction, a challenging scenario that includes sandy beaches is considered and experimental results demonstrate that the FD surface component provides the best performance in terms of accuracy in detecting the sandy beach. With respect to the inland area classification, FD components are shown to provide useful information on the dominant scattering mechanisms that characterize the imaged area. This information, together with the extracted coastline, can be used to generate risk maps that help coastal area management.
Acknowledgements
This study is partly funded by the European Space Agency (ESA) in the framework of the Dragon 4 cooperation between ESA and Chinese Ministry of Science and Technology, project ID 32235, and by the Università degli Studi di Napoli Parthenope, project ID DING202. The authors would like to thank the MacDonald Dettwiler and Associates and Canadian Space Agency for providing RadarSAT-2 SAR data used in this study under the SOAR-EI project 5155.
Disclosure statement
No potential conflict of interest was reported by the authors.