A Novel Method for Ship Detection Based on NSCT and ACO

Author

Xie, Hong ; Li, Lin-Lin ; Bo, Hua ; Zhang, Yun-Nong

Author_Institution

Inf. Eng. Coll., Shanghai Maritime Univ., Shanghai, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

Ship detection is an important section of Synthetic Aperture Radar´s marine applications. Through analyzing the distribution characteristics of ship targets and speckle, a novel ship detection method based on NSCT and ACO is proposed for SAR image processing. First, apply NSCT adaptive threshold method to de-noise the SAR images, then detect the edges by ACO, last ship targets can be precisely detected. Simulating results indicate that this method can not only pickup contour information of ship objects in complex speckle efficiently, but also keep ships structure well, show ideal antijamming competence, guarantee the detection accuracy.

Keywords

edge detection; image processing; object detection; radar imaging; synthetic aperture radar; adaptive threshold method; ant colony optimization; anti-jamming competence; contour information; de-noise; edge detection; image processing; marine applications; non-subsampled Contourlet transform; ship detection; speckle; synthetic aperture radar; Ant colony optimization; Computed tomography; Image edge detection; Marine vehicles; Noise reduction; Radar detection; Radar imaging; Radar scattering; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5304472

Filename

5304472