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Optical Engineering

Moving weak point target detection and estimation with three-dimensional double directional filter in IR cluttered background
Author(s): Meng Li; Tianxu Zhang; Weidong Yang; Xiechang Sun
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Paper 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.

Paper Details

Date Published: 1 October 2005
PDF: 4 pages
Opt. Eng. 44(10) 107007 doi: 10.1117/1.2056586
Published in: Optical Engineering Volume 44, Issue 10
Show Author Affiliations
Meng Li, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Weidong Yang, Huazhong Univ. of Science and Technology (China)
Xiechang Sun, Huazhong Univ. of Science and Technology (China)

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