Title :
A New Type of Automatic Ship Detection Method
Author_Institution :
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
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;
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
DOI :
10.1109/WICOM.2009.5303174