Polarimetric SAR Ship Detection Based on Scattering Characteristics

被引：2
作者：
Gao S. [1 ]
Liu H. [1 ]
机构：
[1] Hunan University, College of Electrical and Information Engineering, Changsha
来源：
IEEE Journal on Miniaturization for Air and Space Systems | 2022年 / 3卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Full-polarization synthetic aperture radar (SAR) data; GF-3; scattering characteristics; ship detection;
D O I：
10.1109/JMASS.2022.3207022
中图分类号：
学科分类号：
摘要：
A synthetic aperture radar is crucial for detecting ships. In this study, to improve the detection capability of weakly scattering targets and reduce false alarms, a detector Fvh based on the scattering characteristics of ships is proposed after an in-depth study of the differences between ship and sea surface scattering mechanisms. The volume scattering mechanism and the helix scattering mechanism are fused, and the volume scattering power is used to describe the scattering structure on the ship, and the helix scattering power is used to increase the difference between the ship and the sea surface. We test on 4 GF-3 fully polarized synthetic aperture radar data. The experimental results show that Fvh has improved detection capability and can successfully minimize false alarm generation. © 2019 IEEE.
引用
收藏
页码：197 / 203
页数：6
相关论文
共 38 条
  • [1] Ohki M., Shimada M., Large-area land use and land cover classification with quad, compact, and dual polarization SAR data by PALSAR-2, IEEE Trans. Geosci. Remote Sens., 56, 9, pp. 5550-5557, (2018)
  • [2] Ciuonzo D., Carotenuto V., De Maio A., On multiple covariance equality testing with application to SAR change detection, IEEE Trans. Signal Process., 65, 19, pp. 5078-5091, (2017)
  • [3] Chini M., Hostache R., Giustarini L., Matgen P., A hierarchical split-based approach for parametric thresholding of SAR images: Flood inundation as a test case, IEEE Trans. Geosci. Remote Sens., 55, 12, pp. 6975-6988, (2017)
  • [4] Zhu Q., Et al., Oil spill contextual and boundary-supervised detection network based on marine SAR images, IEEE Trans. Geosci. Remote Sens., 60, 10, pp. 1-10, (2021)
  • [5] Hajnsek I., Pottier E., Cloude S.R., Inversion of surface parameters from polarimetric SAR, IEEE Trans. Geosci. Remote Sens., 41, 4, pp. 727-744, (2003)
  • [6] Zhang C., Et al., A novel full-polarization SAR image ship detector based on scattering mechanisms and wave polarization anisotropy, ISPRS J. Photogramm. Remote Sens., 190, pp. 129-143, (2022)
  • [7] Iervolino P., Guida R., Whittaker P., A new GLRT-based ship detection technique in SAR images, Proc. IEEE Int. Geosci. Remote Sens. Symp., pp. 3131-3134, (2015)
  • [8] Crisp D.J., The state-of-the-art in ship detection in synthetic aperture radar imagery, Defence Sci. Technol. Org., (2004)
  • [9] Liu T., Lampropoulos G., A new polarimetric CFAR ship detection system, Proc. IEEE Int. Geosci. Remote Sens. Symp., pp. 137-140, (2006)
  • [10] Liu T., Zhang J., Gao G., Yang J., Marino A., CFAR ship detection in polarimetric synthetic aperture radar images based on whitening filter, IEEE Trans. Geosci. Remote Sens., 58, 1, pp. 58-81, (2020)
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