Share Email Print
cover

Proceedings Paper

Infrared target detection in large field of view using visual attention
Author(s): Gang Sun; Weihua Wang; Songlin Liu; Zengping Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

High-resolution, multi-pixels and large field of view (FOV) infrared (IR) detector is an important research direction, which greatly improves the target detection capability. This paper addresses the infrared target detection under the guidance of attention mechanism. The Gabor filter is used to extract the elementary visual feature of infrared image for its orientation selectiveness. Then it researches the reasons that produce visual saliency in frequency domain, and provides the multichannel feature combination strategy to generate the feature map. Further, a novel saliency detection model using Fourier spectrum filtering, is presented to calculate feature regions of infrared image. Experimental results using a wide range of real IR images demonstrate that the proposed algorithm is robust and effective, yielding satisfying results for infrared target detection in large FOV with complex background and low SNR.

Paper Details

Date Published: 7 October 2014
PDF: 11 pages
Proc. SPIE 9249, Electro-Optical and Infrared Systems: Technology and Applications XI, 92491A (7 October 2014); doi: 10.1117/12.2067285
Show Author Affiliations
Gang Sun, National Univ. of Defense Technology (China)
Weihua Wang, National Univ. of Defense Technology (China)
Songlin Liu, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9249:
Electro-Optical and Infrared Systems: Technology and Applications XI
David A. Huckridge; Reinhard Ebert, Editor(s)

© SPIE. Terms of Use
Back to Top