Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Directional support value of Gaussian transformation for infrared small target detection

Not Accessible

Your library or personal account may give you access

Abstract

Robust small target detection is one of the key techniques in IR search and tracking systems for self-defense or attacks. In this paper we present a robust solution for small target detection in a single IR image. The key ideas of the proposed method are to use the directional support value of Gaussian transform (DSVoGT) to enhance the targets, and use the multiscale representation provided by DSVoGT to reduce the false alarm rate. The original image is decomposed into sub-bands in different orientations by convolving the image with the directional support value filters, which are deduced from the weighted mapped least-squares–support vector machines (LS–SVMs). Based on the sub-band images, a support value of Gaussian matrix is constructed, and the trace of this matrix is then defined as the target measure. The corresponding multiscale correlations of the target measures are computed for enhancing target signal while suppressing the background clutter. We demonstrate the advantages of the proposed method on real IR images and compare the results against those obtained from standard detection approaches, including the top-hat filter, max–mean filter, max–median filter, min–local–Laplacian of Gaussian (LoG) filter, as well as LS–SVM. The experimental results on various cluttered background images show that the proposed method outperforms other detectors.

© 2015 Optical Society of America

Full Article  |  PDF Article
More Like This
Robust method for infrared small-target detection based on Boolean map visual theory

Shengxiang Qi, Delie Ming, Jie Ma, Xiao Sun, and Jinwen Tian
Appl. Opt. 53(18) 3929-3940 (2014)

Improved small moving target detection method in infrared sequences under a rotational background

Zhang Tong, Cui Can, Fu Wen Xing, Huang Han Qiao, and Cheng Hao Yu
Appl. Opt. 57(31) 9279-9286 (2018)

Infrared target detection method based on the receptive field and lateral inhibition of human visual system

Shangnan Zhao, Yong Song, Yufei Zhao, Yun Li, Lin Li, Qun Hao, and Maoyuan Li
Appl. Opt. 56(30) 8555-8563 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (5)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (18)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved