References
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clutter. Modern Radar 36(12):1–9 (in Chinese)
2. Ding H, Dong YL, Liu NB et al (2016) Overview and prospects of research on sea clutter
property cognition. J Radars 5(05):499–516 (in Chinese)
3. Simonyan K, Vedaldi A, Zisserman A (2014) Learning local feature descriptors using convex
optimisation. IEEE Trans Pattern Anal Mach Intell 36(8):1573–1585
4. Lu HT, Zhang QC (2016) Summary of research on the application of deep convolution neural
network in computer vision. J Data Acquis Process 31(1):1–17 (in Chinese)
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Ottawa, Canada, Tech. Note. No. 94-14
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national security. Brochure, CSIR, Pretoria, South Africa, Oct 2007. Available: http://www.
csir.co.za/dpss/brochures.html
7. Cui SP (2014) Target detection in sea clutter background based on time-frequency analysis.
Harbin Institute of Technology, Harbin, pp 25–32 (in Chinese)
8. Tough JA, Ward KD, Shepherd PW (2005) The modelling and exploitation of spatial
correlation in spiky sea clutter. In: IEEE radar conference, 2005, EURAD 2005, European,
Nov 2005. https://doi.org/10.1109/eurad.2005.1605550
9. Shi SN, Shui PL (2018) Sea-surface floating small target detection by one-class classifier in
time-frequency feature space. IEEE Trans Geosci Remote Sens 99:1–17
614
Y. Xu et al.
1. He Y, Huang Y, Guan J et al (2014) Overview of radar target detection technology in sea
clutter. Modern Radar 36(12):1–9 (in Chinese)
2. Ding H, Dong YL, Liu NB et al (2016) Overview and prospects of research on sea clutter
property cognition. J Radars 5(05):499–516 (in Chinese)
3. Simonyan K, Vedaldi A, Zisserman A (2014) Learning local feature descriptors using convex
optimisation. IEEE Trans Pattern Anal Mach Intell 36(8):1573–1585
4. Lu HT, Zhang QC (2016) Summary of research on the application of deep convolution neural
network in computer vision. J Data Acquis Process 31(1):1–17 (in Chinese)
5. Drosopoulos A (1994) Description of the OHGR database. Defence Research Establishment,
Ottawa, Canada, Tech. Note. No. 94-14
6. Anderson F (2007) Awarenet: persistent, ubiquitous surveillance technologies for enhanced
national security. Brochure, CSIR, Pretoria, South Africa, Oct 2007. Available: http://www.
csir.co.za/dpss/brochures.html
7. Cui SP (2014) Target detection in sea clutter background based on time-frequency analysis.
Harbin Institute of Technology, Harbin, pp 25–32 (in Chinese)
8. Tough JA, Ward KD, Shepherd PW (2005) The modelling and exploitation of spatial
correlation in spiky sea clutter. In: IEEE radar conference, 2005, EURAD 2005, European,
Nov 2005. https://doi.org/10.1109/eurad.2005.1605550
9. Shi SN, Shui PL (2018) Sea-surface floating small target detection by one-class classifier in
time-frequency feature space. IEEE Trans Geosci Remote Sens 99:1–17
614
Y. Xu et al.
