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Proceedings Paper

Retina-inspired redundant dictionary for infrared small target detection based on sparse representation
Author(s): Miao Li; Yunli Long; Wei An; Yiyu Zhou
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Paper Abstract

A novel redundant dictionary of sparse representation is proposed to detect infrared small targets. Redundant dictionary plays an important role in sparse representation, and is the key point to guarantee the sparseness of solution. Different from traditional intensity dictionary, in this letter, the gradient information and retinal sampling pattern are used to construct the novel redundant dictionary, in which pixels near the centre have higher sampling density. It can effectively reduce the influence of background clutter around target. Consequently, it is easy to discriminate target from background according to the sparsity of the representation coefficient vector. Experimental results demonstrate that the presented method is robust and efficient.

Paper Details

Date Published: 8 October 2015
PDF: 5 pages
Proc. SPIE 9678, AOPC 2015: Telescope and Space Optical Instrumentation, 96780O (8 October 2015); doi: 10.1117/12.2199395
Show Author Affiliations
Miao Li, National Univ. of Defense Technology (China)
Yunli Long, National Univ. of Defense Technology (China)
Wei An, National Univ. of Defense Technology (China)
Yiyu Zhou, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9678:
AOPC 2015: Telescope and Space Optical Instrumentation
Bin Xiangli; Dae Wook Kim; Suijian Xue, Editor(s)

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