Moving weak point target detection and estimation with three-dimensional double directional filter in IR cluttered background

Meng Li; Tianxu Zhang; Weidong Yang; Xiechang Sun

doi:10.1117/1.2056586

1 October 2005 Moving weak point target detection and estimation with three-dimensional double directional filter in IR cluttered background

Meng Li, Tianxu Zhang, Weidong Yang, Xiechang Sun

Author Affiliations +

Optical Engineering, Vol. 44, Issue 10, 107007 (October 2005). https://doi.org/10.1117/1.2056586

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.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Meng Li, Tianxu Zhang, Weidong Yang, and 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

Published: 1 October 2005

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