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

fYear

2012

fDate

12-14 Sept. 2012

Firstpage

53

Lastpage

58

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on

Conference_Location

Naples

Print_ISBN

978-1-4673-2443-4

Type

conf

DOI

10.1109/TyWRRS.2012.6381102

Filename

6381102