Multi-feature extraction of ships from SAR images

Author

Dandan Gu ; Xiaojian Xu

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

Volume

01

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

454

Lastpage

458

Abstract

Pose and structural features are widely used in automatic target recognition (ATR) systems. A procedure is proposed to extract such features of ships from synthetic aperture radar (SAR) images. The ship closed-contour image is first produced using a standard algorithm. A new two-step process is then presented for exact azimuth angle estimation. Modified criteria of centerline and minimum enclosing rectangle (MER) extraction are developed, and applied to calculate the ship dimension. Experimental results for numerically simulated SAR images demonstrate the effectiveness of the proposed technique.

Keywords

feature extraction; radar imaging; synthetic aperture radar; SAR images; automatic target recognition systems; azimuth angle estimation; minimum enclosing rectangle extraction; ship closed-contour image; ships multifeature extraction; synthetic aperture radar images; Azimuth; Estimation; Feature extraction; Marine vehicles; Solid modeling; Synthetic aperture radar; Transforms; Hough transform; automatic ship recognition; feature extraction; synthetic aperture radar image;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2013 6th International Congress on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-2763-0

Type

conf

DOI

10.1109/CISP.2013.6744037

Filename

6744037