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Proceedings Paper

Multispectral infrared image for target detection based on matched filtering using tensor
Author(s): Shibo Gao; Yongmei Cheng; Yongqiang Zhao; Quan Pan; Yanru Wu
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Paper Abstract

The problem of infrared targets detection in heavy clutter background is unsolved well. In this paper, we proposed a matched filter method based on tensor model, which generalizes the traditional matched filter, is used to distinguish between targets and clutter using multispectral infrared image. The tensor matched filter approach is adopted to take into account both spatial and spectral information simultaneously. The 3-mode product between tensor and filter matrix is given for matched filter. This method doesn't destroy the original spatial structure of multispectral images. By considering the spatial and spectral information for the filter, the probability of detection is improved. And an improved multi-way filter for multispectral tensor is performed before tensor matched filter. The experimental results of ROC curves indicate that our algorithm is effective to improve detection performance of targets in clutter background. And the multispectral images acquired at 8-9 μm , 9-10 μm , 10-11 μm , 11-12 μm , and 8-14 μm were tested in the experiment. We also show that this novel approach is extremely efficient in applications of interest by using tensor model for multispectral IR image processing.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74942C (30 October 2009); doi: 10.1117/12.832454
Show Author Affiliations
Shibo Gao, Northwestern Polytechnical Univ. (China)
Yongmei Cheng, Northwestern Polytechnical Univ. (China)
Yongqiang Zhao, Northwestern Polytechnical Univ. (China)
Quan Pan, Northwestern Polytechnical Univ. (China)
Yanru Wu, Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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