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

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.

[1]  R. Haralick Digital Step Edges from Zero Crossing of Second Directional Derivatives , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Jian Liu,et al.  One efficient facet-based small target detection technique , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[3]  Peng Jia-xion Infrared Background Suppression for Segmenting and Detecting Small Target , 1999 .

[4]  G.-D. Wang,et al.  Facet-based infrared small target detection method , 2005 .