Title :
Application of AIS in Marine Search and Rescue Radar
Author :
Shijun, Ying ; Ying, Lu ; Peng, Xia
Author_Institution :
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
Abstract :
Nowadays marine radar detects targets by Constant False Alarm Rate (CFAR). But the search and rescue efficiency is low in poor visibility or serious interference. In this paper, we reference learning mechanism, set up the AIS information for the sample and estimate the threshold t of the search targets with Maximum Likelihood (ML). Then any ship can be distinguished and searched. Experimental results show that using this method can improve the efficiency and accuracy of marine search and rescue radar searching the targets.
Keywords :
learning (artificial intelligence); marine engineering; marine radar; maximum likelihood estimation; object detection; search radar; AIS; CFAR; automatic identification system; constant false alarm rate; learning mechanism; marine search; maximum likelihood; rescue radar; target searching; Clutter; Marine vehicles; Maximum likelihood estimation; Radar clutter; Radar detection; Radar imaging; AIS; marine search and rescue radar; sea clutter; search target; threshold;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.46
