A novel biologically-inspired target detection method based on saliency analysis for synthetic aperture radar (SAR) imagery-Reference-Cited by-同舟云学术

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A novel biologically-inspired target detection method based on saliency analysis for synthetic aperture radar (SAR) imagery

Published:2020-08 Issue: Volume:402 Page:66-79
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ma Fei,Gao Fei,Wang Jun,Hussain Amir,Zhou Huiyu

Funder

National Natural Science Foundation of China

EPSRC

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference45 articles.

1. Multiple mode SAR raw data simulation and parallel acceleration for GAOFEN-3 mission;Zhang;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2018

2. Effects of polarization and resolution on SAR ATR;Novak;IEEE Trans Aerosp Electron. Syst.,1997

3. An adaptive and fast CFAR algorithm based on automatic censoring for target detection in high-resolution SAR images;Gao;Geosci. Remote Sens. IEEE Trans.,2009

4. On the iterative censoring for target detection in SAR images;Yi;IEEE Geosci. Remote Sens. Lett.,2011

5. Slim and efficient neural network design for resource-constrained SAR target recognition;Chen;Remote Sens. (Basel),2018

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