Improved Ship Detection for High Resolution SAR Images Based on Kernel Density Estimation

Author

Shaofeng Jiang ; Fan Wu ; Chao Wang ; Hong Zhang ; Bo Zhang

Author_Institution

Center for Earth Obs. & Digital Earth, Beijing, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

4

Abstract

Ship detection is an important application of global monitoring of ocean environment and maritime traffic. Synthetic aperture radar (SAR) has the good ability to detect ships at high resolution over wide swath and in all weather conditions. This paper proposes an improved fast CFAR detection for high resolution SAR image based on K-distribution and Kernel Density Estimation processing. One scene of COSMO-SkyMed SAR image is adopted for investigating the proposed algorithm. Experiment results illustrate that the method can achieve good performance.

Keywords

estimation theory; image resolution; image sensors; monitoring; radar detection; radar resolution; ships; synthetic aperture radar; telecommunication traffic; COSMO-SkyMed SAR image; K-distribution estimation processing; high resolution SAR imaging; improved fast CFAR detection; kernel density estimation processing; maritime traffic; ocean environment global monitoring; ship detection; synthetic aperture radar; Clutter; Earth; Estimation; Image resolution; Kernel; Marine vehicles; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0872-4

Type

conf

DOI

10.1109/RSETE.2012.6260596

Filename

6260596