The present paper is focused on a potential method for unsupervised flood extent classification approach based, on the extraction of radar shadows from SAR simulated image, generated by means of image metadata and an available DSM covering the area of interest. The SAR simulation process is carried out using the SAR Simulator tool, implemented in the free and open SAR PlugIn developed for the Opticks platform. Different tests have been performed using SGF RADARSAT-2 imagery in order to assess the effectiveness of the proposed approach.
Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image / Vassileva, Magdalena; Nascetti, Andrea; Giuliotonolo, Fabio; Boccardo, Piero. - ELETTRONICO. - (2015), pp. 7326372.2707-7326372.2710. (Intervento presentato al convegno IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 tenutosi a Milano, Italy nel July 26-31, 2015) [10.1109/IGARSS.2015.7326372].
Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image
Andrea Nascetti;
2015-01-01
Abstract
The present paper is focused on a potential method for unsupervised flood extent classification approach based, on the extraction of radar shadows from SAR simulated image, generated by means of image metadata and an available DSM covering the area of interest. The SAR simulation process is carried out using the SAR Simulator tool, implemented in the free and open SAR PlugIn developed for the Opticks platform. Different tests have been performed using SGF RADARSAT-2 imagery in order to assess the effectiveness of the proposed approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
