An Improved Automatic Ship Detection Method in SAR Images

Author

Chen Zhuo

Author_Institution

Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

This paper provides an improved automatic ship detection algorithm, which uses two-parameter CFAR algorithm based on Gauss-distribution to process the homogeneous imaging local area, and uses two-parameter CFAR algorithm based on K-distribution to process the heterogeneous imaging local area again. This improved algorithm keeps both the ability of traditional two-parameter CFAR algorithm´ good features, such as small computation quantity, easy to implement and so on, and the detection accuracy in complex sea conditions at the same time.

Keywords

Gaussian distribution; marine radar; radar detection; radar imaging; remote sensing; ships; synthetic aperture radar; Gauss-distribution; SAR image; automatic ship detection method; complex sea condition; computation quantity; constant false alarm rate method; homogeneous imaging local area; marine remote sensing; synthetic aperture radar; two-parameter CFAR algorithm; Clustering algorithms; Clutter; Detection algorithms; Gaussian distribution; Marine vehicles; Partitioning algorithms; Radar detection; Sea surface; Surface treatment; 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.2009.5304526

Filename

5304526