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| IR Small Targets Detection Based on Non-homogeneous Background |
| Liu Jin; Ji Hong-bing |
| School of Electronics Engineering, Xidian University, Xi’an 710071, China |
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Abstract For lower detection probability problem of small IR targets in a complex non-homogeneous background, an improved M-estimation filtering algorithm based on residual is proposed to suppress background clutters. The algorithm introduces the basic model of M-estimation to predict background, and target pixels and observed noise are considered as the mixed interference of background estimation. It puts forward the correction function c(ε) related to residual to adaptively adjust gain to reduce the abnormal samples influence of background estimation and increases the accuracy of estimation. Meanwhile, the proposed algorithm uses the forget factor α to entreat the non-homogeneous background prediction and the robustness is improved. Experimental results on IR images illustrate that the proposed algorithm can not only predict background effectively in non-homogeneous background but preserve targets information to maximum extent. As a result, the proposed algorithm has higher detection probability.
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Received: 13 August 2009
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Corresponding Authors:
Liu Jin
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2010, Vol. 32 
