1 October 2005 Moving weak point target detection and estimation with three-dimensional double directional filter in IR cluttered background
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Abstract
We assess the performance of a novel three-dimensional double directional filtering (3DDDF) algorithm for detecting and tracking weak moving dim targets against a complex cluttered background in infrared (IR) image sequences. This proposed method increases the target energy accumulation ability further than the three-dimensional directional filter (3DDF) method. Prior to the filtering, a new prewhitening method termed a three-dimensional spatialtemporal adaptive prediction filter (TDSTAPF) is used to suppress the cluttered background. Extensive experiment results demonstrate the proposed algorithms' ability to detect weak dim point targets against a complex cloud-cluttered background in real IR image sequence and the performance comparisons of the proposed method and 3DDF.
Meng Li, Tianxu Zhang, Weidong Yang, Xiechang Sun, "Moving weak point target detection and estimation with three-dimensional double directional filter in IR cluttered background," Optical Engineering 44(10), 107007 (1 October 2005). https://doi.org/10.1117/1.2056586
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