A least trimmed square method for clutter removal in infrared small target detection

Kun Bai; Yuehuan Wang

doi:10.1117/12.2031405

26 October 2013 A least trimmed square method for clutter removal in infrared small target detection

Kun Bai, Yuehuan Wang

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180V (2013) https://doi.org/10.1117/12.2031405
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

In this paper, a new procedure based on least trimmed square for clutter background estimation is proposed. Least trimmed square method identifies multiple outliers in the image, such as noise and target region. Then the clutter background is estimated without these outliers. The performance of this method is compared with the algorithms based on least mean square method, the results show that our method gets higher signal clutter ratio (SCR) gain in target region than other methods which use LMS filter.

Citation Download Citation

Kun Bai and Yuehuan Wang "A least trimmed square method for clutter removal in infrared small target detection", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180V (26 October 2013); https://doi.org/10.1117/12.2031405

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