Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28802
Title: Principal curvature for infrared small target detection
Authors: Zhao, Y
Pan, H
Du, C
Zheng, Y
Keywords: Eigenvalue
Hessian matrix
Infrared small target detection
Principal curvature
Issue Date: 2015
Publisher: Elsevier
Source: Infrared physics and technology, 2015, v. 69, p. 36-43 How to cite?
Journal: Infrared Physics and Technology 
Abstract: Small target detection in infrared image with complex background and low signal-noise ratio is an important and difficult task in the infrared target tracking system. In this paper, a principal curvature-based method is proposed. The principal curvatures of target pixels are negative and their absolute values are larger than that of background pixels and noise pixels in a Gaussian-blurred infrared image. The proposed filter takes a composite function of the curvatures for detection. An approximate model is also built for optimizing the parameters. Experimental results show that the proposed algorithm is effective and adaptable for infrared small target detection in complex background. Compared with several popular methods, the proposed algorithm demonstrates significant improvement on detection performance in terms of the parameters of signal clutter ratio gain, background suppression factor and ROC.
URI: http://hdl.handle.net/10397/28802
ISSN: 1350-4495
DOI: 10.1016/j.infrared.2014.12.014
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

8
Last Week
0
Last month
0
Citations as of Sep 11, 2017

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
0
Citations as of Sep 15, 2017

Page view(s)

47
Last Week
4
Last month
Checked on Sep 17, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.