DocumentCode
2130571
Title
A New Type of Automatic Ship Detection Method
Author
Chen Zhuo
Author_Institution
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
A new type of automatic ship detection algorithm is proposed in this paper. By determining whether the local area is heterogeneous, simplex two-parameter CFAR algorithm based on Gauss-distribution or both two-parameter CFAR algorithm based on Gauss-distribution and two-parameter CFAR verification algorithm based on K-distribution are used to detect targets. This new type of 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; object detection; Gauss-distribution; K-distribution; automatic ship detection method; simplex two-parameter CFAR algorithm; target detection; Clutter; Detection algorithms; Gaussian distribution; Marine vehicles; Radar detection; Sea surface; Signal processing algorithms; Surface treatment; Synthetic aperture radar; Weibull distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5303174
Filename
5303174
Link To Document