In this work we present a new coastline extraction approach, which seeks to enhance performances and to provide automation in shoreline generation with SAR (Synthetic-aperture radar) data. Our approach is designed to harness Multi-Pol SAR acquisitions, while single-pol acquisitions are used in most of the approaches in this area, employing an Autoassociative Neural Network (AANN) for data fusion purposes and a Pulse-Coupled Neural Network (PCNN) for the generation of a final coastline. Using RADARSAT-2 data, main findings are shown, exhibiting better and comparable results with respect to consolidated approaches and with a recent automated method which may be regarded as within the state-of-the art methods in the field of coastline extraction from SAR data.
De Laurentiis, L., Latini, D., Schiavon, G., Del Frate, F. (2020). Multi-Pol Sar Data Fusion for Coastline Extraction by Neural Networks Chaining. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (pp.2085-2088). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/IGARSS39084.2020.9324348].
Multi-Pol Sar Data Fusion for Coastline Extraction by Neural Networks Chaining
Latini, D;Schiavon, G;Del Frate, F
2020-01-01
Abstract
In this work we present a new coastline extraction approach, which seeks to enhance performances and to provide automation in shoreline generation with SAR (Synthetic-aperture radar) data. Our approach is designed to harness Multi-Pol SAR acquisitions, while single-pol acquisitions are used in most of the approaches in this area, employing an Autoassociative Neural Network (AANN) for data fusion purposes and a Pulse-Coupled Neural Network (PCNN) for the generation of a final coastline. Using RADARSAT-2 data, main findings are shown, exhibiting better and comparable results with respect to consolidated approaches and with a recent automated method which may be regarded as within the state-of-the art methods in the field of coastline extraction from SAR data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
