Title :
Ship detection from SAR images based on CFAR and wavelet transform
Author :
Staglianò, D. ; Lupidi, A. ; Berizzi, F.
Author_Institution :
Nat. Lab. & Radar & Syst. Surveillance (RaSS), CNIT, Pisa, Italy
Abstract :
In this paper the authors propose an innovative two-stage technique for ship detection which is applied to sea synthetic aperture radar (SAR) images. This technique is based on the joint use of Wavelet theory, in particular of the two-dimensional Discrete Wavelet Transform (2D-DWT), and the Constant False Alarm Rate (CFAR) processor. Real data acquired from COSMO-SkyMed (CSK) system have been processed to verify the effectiveness of this proposed new technique.
Keywords :
discrete wavelet transforms; object detection; radar imaging; ships; synthetic aperture radar; CFAR; COSMO-SkyMed system; SAR images; constant false alarm rate processor; sea synthetic aperture radar image; ship detection; two-dimensional discrete wavelet transform; two-stage technique; wavelet theory; Azimuth; Covariance matrix; Discrete wavelet transforms; Humans; Kelvin; COSMO-SkyMed; constant false alarm rate (CFAR); discrete wavelet transform (DWT); ship detection; synthetic aperture radar (SAR); wavelet correlator (WCOR);
Conference_Titel :
Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-2443-4
DOI :
10.1109/TyWRRS.2012.6381102
