Share Email Print

Optical Engineering

Small infrared target detection based on harmonic and sparse matrix decomposition
Author(s): Cheng-yong Zheng; Hong Li
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Background suppressing is the main technology for infrared target detection. We present a new small infrared target detection (SIRTD) method that is also based on background suppressing. First, a new matrix decomposition model, named harmonic and sparse matrix decomposition (HSMD), is put forward for decomposing an image into a harmonic and a sparse component, which are seen as a background component and a small target component, respectively. Then, an algorithm based on augmented Lagrangian alternating direction method (ALADM) for solving HSMD is described. The main computational cost of the proposed algorithm in each iteration is that of a fast Fourier transform (FFT), which makes the proposed algorithm very fast. By searching for the maximum local energy regions in the target component, the infrared targets can be easily and accurately located. Experimental results on some infrared images show that HSMD solved by ALADM is very suitable for real-time infrared image decomposing and SIRTD.

Paper Details

Date Published: 12 June 2013
PDF: 11 pages
Opt. Eng. 52(6) 066401 doi: 10.1117/1.OE.52.6.066401
Published in: Optical Engineering Volume 52, Issue 6
Show Author Affiliations
Cheng-yong Zheng, Huazhong Univ. of Science and Technology (China)
Hong Li, Huazhong Univ. of Science and Technology (China)

© SPIE. Terms of Use
Back to Top