Main > Journal of Infrared and Millimeter Waves >  Volume 38 >  Issue 3 >  Page 371 > Article
  • Abstract
  • Abstract
  • Figures (0)
  • Tables (0)
  • Equations (0)
  • References (19)
  • Get PDF
  • View Full Text
  • Paper Information
  • Received: Aug. 25, 2018

    Accepted: --

    Posted: Mar. 1, 2019

    Published Online: Jul. 20, 2019

    The Author Email: Shuang-Chen WU (m201772486@hust.edu.cn)

    DOI: 10.11972/j.issn.1001-9014.2019.03.019

  • Get Citation
  • Copy Citation Text

    WU Shuang-Chen, ZUO Zheng-Rong. Small target detection in infrared images using deep convolutional neural networks[J]. Journal of Infrared and Millimeter Waves, 2019, 38(3): 371

    Download Citation

  • Share
Journal of Infrared and Millimeter Waves, Vol. 38, Issue 3, 371 (2019)

Small target detection in infrared images using deep convolutional neural networks

Shuang-Chen WU* and Zheng-Rong ZUO

Author Affiliations

  • [in Chinese]

Abstract

A new deep convolutional network for detecting small targets in infrared images is proposed. The problem of small targets detection is transformed into the classification of small targets’ location distribution. First, a Fully Convolutional Networks is used for enhancing and initially screening the small targets. After that, the original image and the background suppressed image are selected as the inputs for classification network which is used for the follow-up screening, and then the SEnet (Squeeze-and-Excitation Networks) is used to select the feature maps. The experimental results show that the detection network is superior to multiple typical infrared small target detection methods and has an excellent result on different signal-to-noise ratio,different scenes and motion blur targets.

keywords

Please Enter Your Email: