Multispectral infrared image for target detection based on matched filtering using tensor

Shibo Gao; Yongmei Cheng; Yongqiang Zhao; Quan Pan; Yanru Wu

doi:10.1117/12.832454

30 October 2009 Multispectral infrared image for target detection based on matched filtering using tensor

Shibo Gao, Yongmei Cheng, Yongqiang Zhao, Quan Pan, Yanru Wu

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74942C (2009) https://doi.org/10.1117/12.832454
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Shibo Gao, Yongmei Cheng, Yongqiang Zhao, Quan Pan, and Yanru Wu "Multispectral infrared image for target detection based on matched filtering using tensor", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74942C (30 October 2009); https://doi.org/10.1117/12.832454

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available