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 :
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