A targets detection algorithm is proposed for maritime surveillance by single-channel SAR images. It foresees a preliminary prescreening step, carried out using an adaptive threshold algorithm, followed by a discrimination phase, performed by sub-look analysis. The latter discriminates the pixels detected by the former step in three classes, i.e. targets, sea, and azimuth ambiguity. The algorithm is tested on single channel StripMap TerraSAR-X data. Results indicate that the selected algorithm shows promising detection performance and ambiguity rejection capabilities.
PRESCREENING AND DISCRIMATION OF MARITIME TARGETS IN SINGLE-CHANNEL SAR IMAGES / Renga, Alfredo; Graziano, MARIA DANIELA; Moccia, Antonio. - (2016), pp. 6413-6416. (Intervento presentato al convegno IGARSS 2016 tenutosi a Beijing, China nel 10-15 Luglio 2016).
PRESCREENING AND DISCRIMATION OF MARITIME TARGETS IN SINGLE-CHANNEL SAR IMAGES
RENGA, ALFREDO;GRAZIANO, MARIA DANIELA;MOCCIA, ANTONIO
2016
Abstract
A targets detection algorithm is proposed for maritime surveillance by single-channel SAR images. It foresees a preliminary prescreening step, carried out using an adaptive threshold algorithm, followed by a discrimination phase, performed by sub-look analysis. The latter discriminates the pixels detected by the former step in three classes, i.e. targets, sea, and azimuth ambiguity. The algorithm is tested on single channel StripMap TerraSAR-X data. Results indicate that the selected algorithm shows promising detection performance and ambiguity rejection capabilities.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
