Study on nonlinear filters in detection

Hanqing Wang; Feng Liu; Lixue Hong; Wangsuo Liu

doi:10.1117/12.918941

15 November 2011 Study on nonlinear filters in detection

Hanqing Wang, Feng Liu, Lixue Hong, Wangsuo Liu

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351Z (2011) https://doi.org/10.1117/12.918941
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

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.

Citation Download Citation

Hanqing Wang, Feng Liu, Lixue Hong, and Wangsuo Liu "Study on nonlinear filters in detection", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351Z (15 November 2011); https://doi.org/10.1117/12.918941

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