data. Dataset management and property analysis software are also developed. The
datasets are scheduled to be released gradually for public use in radar community in the
near future.
Acknowledgements. This work was supported in part by the China Postdoctoral Science
Foundation (2017M620862) and the National Natural Science Foundation of China (61871392,
61531020, 61871391).
References
1. Ward K, Tough R, Watts S (2013) Sea clutter: scattering, the K-distribution and radar
performance, 2nd edn. The Institution of Engineering and Technology, London
2. Ding H, Liu N, Dong Y et al (in press) Overview and prospects of radar sea clutter
measurement experiments. J Radars
3. Ding H, Dong Y, Liu N, Wang G, Guan J (2016) Overview and prospects of research on sea
clutter property cognition. J Radars 5(5):499–516
4. Ding H, Guan J, Liu N et al (2015) New spatial correlation models for sea clutter. IEEE
Geosci Remote Sens Lett 12(9):1833–1837
5. Ding H, Guan J, Liu N et al (2016) Modeling of heavy tailed sea clutter based on the
generalized central limit theory[J]. IEEE Geosci Remote Sens Lett 13(11):1591–1595
6. Shi S, Shui P (2018) Sea-surface floating small target detection by one-class classifier in
time-frequency feature space. IEEE Trans Geosci Remote Sens 56(11):6395–6411
7. Wang J, Zheng T, Lei P, Wei S (2018) Study on deep learning in radar. J Radars 7(4):
395–411
8. Su N, Chen X, Guan J, Mou X, Liu N (2018) Detection and classification of maritime target
with micro-motion based on CNNs. J Radars 7(5):565–574
9. Drosopoulos A (1994) Description of the OHGR database. Defence research establishment
Ottawa, Technical Note, pp 94–14
10. De Wind HJ, Cilliers JC, Herselman PL (2010) Sea clutter and small boat radar reflectivity
databases. IEEE Signal Process Mag 32(2):145–148
11. Herselman PL, Baker CJ, deWind HJ (2008) An analysis of X-band calibrated sea clutter
and small boat reflectivity at medium-to-low grazing angles. Int J Navig Obs 1–14
12. Antipov I (1998) Analysis of sea clutter data. Technical Report, DSTO-TR-0647
13. Dong Y, Merrett D (2008) Statistical measures of S-band sea clutter and targets. Technical
Report, DSTO-TR-222
14. Dong Y, Merrett D (2010) Analysis of L-band multi-channel sea clutter. Technical Report,
DSTO-TR-2455
15. Antipov I (2001) Statistical analysis of northern Australian coastline sea clutter data.
Technical Report, DSTO-TR-1236
16. Crisp DJ, Stacy NJS, Goh AS (2006) Ingara medium-high incidence angle polarimetric sea
clutter measurements and analysis. Technical Report, DSTO-TR-1818
17. Watts S, Rosenberg L, Bocquet S et al (2016) Doppler spectra of medium grazing angle sea
clutter part 1: characterisation. IET Radar Sonar Navig 10(1):24–31
252
H. Ding et al.
datasets are scheduled to be released gradually for public use in radar community in the
near future.
Acknowledgements. This work was supported in part by the China Postdoctoral Science
Foundation (2017M620862) and the National Natural Science Foundation of China (61871392,
61531020, 61871391).
References
1. Ward K, Tough R, Watts S (2013) Sea clutter: scattering, the K-distribution and radar
performance, 2nd edn. The Institution of Engineering and Technology, London
2. Ding H, Liu N, Dong Y et al (in press) Overview and prospects of radar sea clutter
measurement experiments. J Radars
3. Ding H, Dong Y, Liu N, Wang G, Guan J (2016) Overview and prospects of research on sea
clutter property cognition. J Radars 5(5):499–516
4. Ding H, Guan J, Liu N et al (2015) New spatial correlation models for sea clutter. IEEE
Geosci Remote Sens Lett 12(9):1833–1837
5. Ding H, Guan J, Liu N et al (2016) Modeling of heavy tailed sea clutter based on the
generalized central limit theory[J]. IEEE Geosci Remote Sens Lett 13(11):1591–1595
6. Shi S, Shui P (2018) Sea-surface floating small target detection by one-class classifier in
time-frequency feature space. IEEE Trans Geosci Remote Sens 56(11):6395–6411
7. Wang J, Zheng T, Lei P, Wei S (2018) Study on deep learning in radar. J Radars 7(4):
395–411
8. Su N, Chen X, Guan J, Mou X, Liu N (2018) Detection and classification of maritime target
with micro-motion based on CNNs. J Radars 7(5):565–574
9. Drosopoulos A (1994) Description of the OHGR database. Defence research establishment
Ottawa, Technical Note, pp 94–14
10. De Wind HJ, Cilliers JC, Herselman PL (2010) Sea clutter and small boat radar reflectivity
databases. IEEE Signal Process Mag 32(2):145–148
11. Herselman PL, Baker CJ, deWind HJ (2008) An analysis of X-band calibrated sea clutter
and small boat reflectivity at medium-to-low grazing angles. Int J Navig Obs 1–14
12. Antipov I (1998) Analysis of sea clutter data. Technical Report, DSTO-TR-0647
13. Dong Y, Merrett D (2008) Statistical measures of S-band sea clutter and targets. Technical
Report, DSTO-TR-222
14. Dong Y, Merrett D (2010) Analysis of L-band multi-channel sea clutter. Technical Report,
DSTO-TR-2455
15. Antipov I (2001) Statistical analysis of northern Australian coastline sea clutter data.
Technical Report, DSTO-TR-1236
16. Crisp DJ, Stacy NJS, Goh AS (2006) Ingara medium-high incidence angle polarimetric sea
clutter measurements and analysis. Technical Report, DSTO-TR-1818
17. Watts S, Rosenberg L, Bocquet S et al (2016) Doppler spectra of medium grazing angle sea
clutter part 1: characterisation. IET Radar Sonar Navig 10(1):24–31
252
H. Ding et al.