Robust method for detecting an infrared small moving target based on the facet-based model

Hwal-Suk Lee; Seokkwon Kim; Dong-Jo Park; Jieun Kim; Changhan Park

doi:10.1117/12.777485

16 April 2008 Robust method for detecting an infrared small moving target based on the facet-based model

Hwal-Suk Lee, Seokkwon Kim, Dong-Jo Park, Jieun Kim, Changhan Park

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69690E (2008) https://doi.org/10.1117/12.777485
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this paper, a new condition for the target is proposed to increase the robustness of the facet-based detection method for zero-mean Gaussian noise. In the proposed algorithm, the pixels detected from the maximum extremum condition are checked further to discern if they are false maximum points in the proposed scheme. The experimental results show that the proposed algorithm is much more robust for zero-mean Gaussian noise than the conventional detection method.

Citation Download Citation

Hwal-Suk Lee, Seokkwon Kim, Dong-Jo Park, Jieun Kim, and Changhan Park "Robust method for detecting an infrared small moving target based on the facet-based model", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690E (16 April 2008); https://doi.org/10.1117/12.777485

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