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Proceedings Paper

Small target detection using quantum genetic morphological filter
Author(s): Lizhen Deng; Hu Zhu; Yantao Wei; Guanmin Lu; Yu Wei
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Paper Abstract

Small target detection plays a crucial role in infrared warning and tracking systems. A background suppression method using morphological filter based on quantum genetic algorithm (QGMF) is presented to detect small targets in infrared image. Structure element of morphological filter is encoded and the best structure element is selected using quantum genetic algorithm. The optimized structure element is used for background suppression to detect small target. Experimental results demonstrate that QGMF has good performance in clutter suppression, and obtains higher signal-to-clutter ratio gain (SCRG) and background suppression factor (BSF) than the one using the fixed structure element with the same size.

Paper Details

Date Published: 14 December 2015
PDF: 8 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120A (14 December 2015); doi: 10.1117/12.2203715
Show Author Affiliations
Lizhen Deng, Nanjing Univ. of Posts and Telecommunications (China)
Hu Zhu, Nanjing Univ. of Posts and Telecommunications (China)
Yantao Wei, Central China Normal Univ. (China)
Guanmin Lu, Nanjing Univ. of Posts and Telecommunications (China)
Yu Wei, Nanjing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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