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A Feature Fusion-Based Visual Attention Method for Target Detection in SAR Images

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The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 322))

Abstract

Target detection is the front-end stage in any automatic recognition system for synthetic aperture radar (SAR) imagery (SAR-ATR). The efficiency of the detection directly impacts the succeeding stages in the SAR-ATR processing chain. This paper proposes a target detection method for SAR images based on visual attention mechanism. In the paper, a new texture feature extracting method using Local Walsh Transform (LWT) is employed and a target-saliency map is computed based on fusing the primary visual feature maps. Experiments are tested on two kinds of images with simple or complex background. The experimental results show that the detection time cost by the proposed algorithm is less than traditional visual attention methods and the detection results are visually more accurate.

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Acknowledgement

This work is supported in part by the National Natural Science Foundation of China under Grants 61271287, 61371048, 61301265.

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Authors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Qiang Zhang & Zongjie Cao

Authors
  1. Qiang Zhang
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  2. Zongjie Cao
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Corresponding author

Correspondence to Zongjie Cao .

Editor information

Editors and Affiliations

  1. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, Tianjin, China

    Jiasong Mu

  2. University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  3. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, Tianjin, China

    Wei Wang

  4. Tianjin Normal University College of Physical and Electronic Infor, Tianjin, China

    Baoju Zhang

  5. University of Electronic Science and Tec School of Electronic Engineering, Chengdu, China

    Yiming Pi

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© 2015 Springer International Publishing Switzerland

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Zhang, Q., Cao, Z. (2015). A Feature Fusion-Based Visual Attention Method for Target Detection in SAR Images. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-08991-1_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08990-4

  • Online ISBN: 978-3-319-08991-1

  • eBook Packages: EngineeringEngineering (R0)

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