DocumentCode
1136622
Title
Infrared small target detection using directional highpass filters based on LS-SVM
Author
Wang, Peng ; Tian, J.W. ; Gao, C.Q.
Author_Institution
State Key Lab. for Multi-spectral Inf. Process. Technol., Inst. for Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol., Wuhan
Volume
45
Issue
3
fYear
2009
Firstpage
156
Lastpage
158
Abstract
An infrared small target detection method based on the least squares support vector machine (LS-SVM) is proposed. The LS-SVM model is applied to generate a row and a column directional highpass template filters. By filtering the original infrared image with the two templates, respectively, and fusing the two filtered images, the possible small target can be extracted. Experimental results demonstrate that the presented method is robust and efficient.
Keywords
high-pass filters; infrared imaging; least squares approximations; object detection; support vector machines; directional high-pass filters; infrared small target detection; least squares support vector machine;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20092206
Filename
4770453
Link To Document