Radar target detection based on methods of image pattern matching

作者: Frank Heymann , Thoralf Noack , Ling Tong

DOI:

关键词:

摘要: This paper studies the performance of pattern matching algorithms with goal detection and tracking vessel targets in maritime radar images. We compare different methods using a database which consists images from two manufactures. The data covers timespan roughly 4 hours one second time resolution. 3 template 5 feature detector is tested most suitable algorithm chosen for further optimizations. These optimizations are based on properties target.

参考文章(12)
Herbert Bay, Tinne Tuytelaars, Luc Van Gool, SURF: speeded up robust features european conference on computer vision. ,vol. 1, pp. 404- 417 ,(2006) , 10.1007/11744023_32
Miroslav Trajković, Mark Hedley, Fast corner detection Image and Vision Computing. ,vol. 16, pp. 75- 87 ,(1998) , 10.1016/S0262-8856(97)00056-5
C. Harris, M. Stephens, A COMBINED CORNER AND EDGE DETECTOR alvey vision conference. pp. 147- 151 ,(1988) , 10.5244/C.2.23
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool, Speeded-Up Robust Features (SURF) Computer Vision and Image Understanding. ,vol. 110, pp. 346- 359 ,(2008) , 10.1016/J.CVIU.2007.09.014
David G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints International Journal of Computer Vision. ,vol. 60, pp. 91- 110 ,(2004) , 10.1023/B:VISI.0000029664.99615.94
Binoy Pinto, Speeded Up Robust Features ,(2011)
Luo Zhi-hong, The Analysis of the Limitation of the ARPA Journal of Wuhan Institute of Shipbuilding Technology. ,(2007)