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Proceedings Paper

Study on nonlinear filters in detection
Author(s): Hanqing Wang; Feng Liu; Lixue Hong; Wangsuo Liu
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Paper Abstract

There are a kind of non-linear filters in the active detection problem solution which can weaken the bigger and strengthen the smaller samples, that can be called as Gaussianization, and to improve performance of subsequent correlation test. An explicit definition about this kind of nonlinear Gaussianization filter is given at first. In succession, the two typical nonlinear filters are proposed and studied. One is U-filter, based on the probability density function and its derivate. The other is G-filter, based on the cumulative distribution function and its inverse. Instances with lake trial data are illustrated to test these two methods' performance.

Paper Details

Date Published: 15 November 2011
PDF: 6 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351Z (15 November 2011); doi: 10.1117/12.918941
Show Author Affiliations
Hanqing Wang, Naval Univ. of Engineering (China)
Feng Liu, Naval Univ. of Engineering (China)
Lixue Hong, Navy Force (China)
Wangsuo Liu, Naval Univ. of Engineering (China)

Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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