Advanced search
Publication Cover
Remote Sensing Letters Volume 13, 2022 - Issue 11
Submit an article Journal homepage
1,021
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Sea-surface small target detection using entropy features with dual-domain clutter suppression

Sainan Shia School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China;b Department of Signal Processing, Nanjing Xinda Institute of Safety and Emergency Management, Nanjing, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7163-3716View further author information
ORCID Icon,
Li Jianga School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, ChinaView further author information
,
Ding Caoc Department of Signal and Information System, Nanjing Marine Radar Institute, Nanjing, ChinaView further author information
&
Yutao Zhangc Department of Signal and Information System, Nanjing Marine Radar Institute, Nanjing, ChinaView further author information
Pages 1142-1152 | Received 26 Oct 2021, Accepted 12 Sep 2022, Published online: 10 Oct 2022

References

  • Cai, J., H. Zhou, W. Huang, and B. Wen. 2021. “Ship Detection and Direction Finding Based on Time-Frequency Analysis for Compact HF Radar.” IEEE Geoscience and Remote Sensing Letters 18 (1): 72–76. doi:10.1109/LGRS.2020.2967387.
  • Chen, X., J. Guan, Y. He, and J. Zhang. 2013. “Detection of Low Observable Moving Target in Sea Clutter via Fractal Characteristics in Fractional Fourier Transform Domain.” IET Radar Sonar and Navigation 7 (6): 635–651. doi:10.1049/iet-rsn.2012.0116.
  • Chen, W., Z. Wang, H. Xie, and W. Yu. 2007. “Characterization of Surface EMG Signal Based on Fuzzy Entropy.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 15 (2): 266–272. doi:10.1109/TNSRE.2007.897025.
  • Fan, Y., F. Luo, M. Li, C. Hu, and S. Chen. 2015. “Fractal Properties of Autoregressive Spectrum and Its Application on Weak Target Detection in Sea Clutter Background.” IET Radar Sonar and Navigation 9 (8): 1070–1077. doi:10.1049/iet-rsn.2014.0473.
  • Greco, M., F. Gini, and M. Rangaswamy. 2006. “Statistical Analysis of Measured Polarimetric Clutter Data at Different Range Resolutions.” IEE Proceedings-Radar, Sonar and Navigation 153 (6): 473–481. doi:10.1049/ip-rsn:20060045.
  • Gu, T. C. 2020. “Detection of Small Floating Targets on the Sea Surface Based on Multi-Features and Principal Component Analysis.” IEEE Geoscience and Remote Sensing Letters 17 (5): 809–813. doi:10.1109/LGRS.2019.2935262.
  • Guan, J., N. B. Liu, Y. Huang, and Y. He. 2012. “Fractal Characteristic in Frequency Domain for Target Detection Within Sea Clutter.” IET Radar Sonar and Navigation 6 (5): 293–306. doi:10.1049/iet-rsn.2011.0250.
  • Guo, Z., and P. Shui. 2020. “Anomaly Based Sea-Surface Small Target Detection Using K-Nearest Neighbor Classification.” IEEE Transactions on Aerospace and Electronic Systems 56 (6): 4947–4964. doi:10.1109/TAES.2020.3011868.
  • Hu, J., W. Tung, and J. Gao. 2006. “Detection of Low Observable Targets Within Sea Clutter by Structure Function Based Multifractal Analysis.” IEEE Transactions on Antennas and Propagation 54 (1): 136–143. doi:10.1109/TAP.2005.861541.
  • Li, J., W. Wang, J. Sun, and S. Mao. 2009. “Chaos-Based Target Detection from Sea Clutter.” In 2009 IET International Radar Conference, 1–4. doi:10.1049/cp.2009.0230.
  • Li, Y. Z., P. C. Xie, Z. S. Tang, and T. Jiang. 2019. “SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach.” IEEE Geoscience and Remote Sensing Letters 16 (8): 1225–1229. doi:10.1109/LGRS.2019.2894385.
  • Mcdonald, M., and A. Damini. 2004. “Limitations of Nonlinear Chaotic Dynamics in Predicting Sea Clutter Returns.” IEE Proceedings-Radar Sonar and Navigation 151 (2): 105–113. doi:10.1049/ip-rsn:20040261.
  • Richman, J. S., and J. R. Moorman. 2000. “Physiological Time-Series Analysis Using Approximate Entropy and Sample Entropy.” American Journal of Physiology Heart & Circulatory Physiology 278 (6): 2039–2049. doi:10.1152/ajpheart.2000.278.6.H2039.
  • Rostaghi, M., and H. Azami. 2016. “Dispersion Entropy: A Measure for Time-Series Analysis.” IEEE Signal Processing Letters 23 (5): 610–614. doi:10.1109/LSP.2016.2542881.
  • Shi, Y., X. Xie, and D. Li. 2016. “Range Distributed Floating Target Detection in Sea Clutter via Feature-Based Detector.” IEEE Geoscience and Remote Sensing Letters 13 (12): 1847–1850. doi:10.1109/LGRS.2016.2614750.
  • Shui, P., D. Li, and S. Xu. 2014. “Tri-Feature-Based Detection of Floating Small Targets in Sea Clutter.” IEEE Transactions on Aerospace and Electronic Systems 50 (2): 1416–1430. doi:10.1109/TAES.2014.120657.
  • Xu, X. K. 2010. “Low Observable Targets Detection by Joint Fractal Properties of Sea Clutter: An Experimental Study of IPIX OHGR Datasets.” IEEE Transactions on Antennas and Propagation 58 (4): 1425–1429. doi:10.1109/TAP.2010.2041144.
  • Xu, S., L. Wang, F. Zhang, and P. Shui. 2019. “Outlier-Robust Parameters Estimation for Compound-Gaussian Clutter Using Inverse Gamma Texture Based on Truncated Moments.” Remote Sensing Letters 10 (3): 274–282. doi:10.1080/2150704X.2018.1547444.
  • Yan, K., Y. Bai, H. Wu, and X. Zhang. 2019. “Robust Target Detection Within Sea Clutter Based on Graphs.” IEEE Transactions on Geoscience and Remote Sensing 57 (9): 7093–7103. doi:10.1109/TGRS.2019.2911451.
  • Zanin, M., L. Zunino, O. A. Rosso, and D. Papo. 2012. “Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review.” Entropy 14 (8): 1553–1577. doi:10.3390/e14081553.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.