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Optical Engineering

Small target pre-detection with an attention mechanism
Author(s): Yuehuan Wang; Tianxu Zhang; Guoyou Wang
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Paper Abstract

We introduce the concept of predetection based on an attention mechanism to improve the efficiency of small-target detection by limiting the image region of detection. According to the characteristics of small-target detection, local contrast is taken as the only feature in predetection and a nonlinear sampling model is adopted to make the predetection adaptive to detect small targets with different area sizes. To simplify the predetection itself and decrease the false alarm probability, neighboring nodes in the sampling grid are used to generate a saliency map, and a short-term memory is adopted to accelerate the "pop-out" of targets. We discuss the fact that the proposed approach is simple enough in computational complexity. In addition, even in a cluttered background, attention can be led to targets in a satisfying few iterations, which ensures that the detection efficiency will not be decreased due to false alarms. Experimental results are presented to demonstrate the applicability of the approach.

Paper Details

Date Published: 1 April 2002
PDF: 14 pages
Opt. Eng. 41(4) doi: 10.1117/1.1459054
Published in: Optical Engineering Volume 41, Issue 4
Show Author Affiliations
Yuehuan Wang, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Guoyou Wang, Huazhong Univ. of Science and Technology (China)

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