DocumentCode :
2383282
Title :
Exploitation of Cosmo SkyMed SAR images for maritime traffic surveillance
Author :
Martorella, M. ; Berizzi, F. ; Pastina, D. ; Lombardo, P.
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
fYear :
2011
fDate :
23-27 May 2011
Firstpage :
113
Lastpage :
117
Abstract :
Moving targets often appear defocussed in SAR images due to their relative motion with respect to the stationary scene. In several applications that require target classification and/or recognition an unfocussed image of a target would likely lead to misclassification, therefore decreasing classification performance. In this paper the authors present a new tool for automatically detecting and refocussing maritime moving targets starting from satellite Single Look Complex (SLC) SAR images. Preliminary results obtained by applying the proposed technique to Cosmo SkyMed (CSK) SLC SAR images show the effectiveness of the proposed approach.
Keywords :
image classification; image motion analysis; image recognition; marine engineering; radar imaging; surveillance; synthetic aperture radar; COSMO SkyMed SAR image; SLC SAR image; maritime traffic surveillance; motion target classification; moving target recognition; satellite single look complex SAR image; unfocussed image; Apertures; Image resolution; Image segmentation; Marine vehicles; Pixel; Radar imaging; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2011 IEEE
Conference_Location :
Kansas City, MO
ISSN :
1097-5659
Print_ISBN :
978-1-4244-8901-5
Type :
conf
DOI :
10.1109/RADAR.2011.5960511
Filename :
5960511
Link To Document :
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