Paper Info
Title
Detecting for the aerial small target in infrared image based on the correlation coefficients of nonsubsampled contourlet transform.
Abstract
In order to solve the practical problem of the infrared small target's detecting in the sky, a detecting algorithm based on NSCT (nonsubsampled contourlet transform) is proposed. Firstly, taking advantage of the excellent property of the transform, this algorithm analyses the different property of the NSCT coefficients of noise, background edge and signal, then computes the normalized correlation coefficients between scales for the transform coefficients. Subsequently, according to the adaptive method of threshold, the coefficients of background edge and noise are suppressed and then the image which includes the enhanced target is acquired by the inverse transform. In the end, taking the target area into account, the reconstructed image is segmented and the final detecting result is acquired by considering the position correlation of the target between frames. Experimental results show that the method given by this paper can detect small target accurately. Compared with some traditional method, it has certain advantage in background suppressing and can acquire high SNR (signal noise ratio) value. © 2012 IEEE.
Year
DOI
Venue
2012
10.1109/ICAL.2012.6308220
ICAL
Keywords
Field
DocType
image reconstruction,image segmentation,signal noise ratio,adaptive signal processing
Iterative reconstruction,Inverse,Computer vision,Infrared image,Pattern recognition,Signal-to-noise ratio,Image segmentation,Correlation,Artificial intelligence,Adaptive filter,Contourlet,Mathematics
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4673-0363-7
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Gang Liu120328.42
Qianqian Zhang200.68
Tao Huang300.34
Dan Zhang400.34