Characterizing the internal wave wakes and synthetic aperture radar image features of underwater moving objects

被引:0
|
作者
Yang, Zhechao [1 ,2 ]
Zhi, Changhong [1 ]
You, Yunxiang [1 ,2 ]
Li, Yuhang [3 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Yazhou Bay Inst Deepsea Technol, Sanya 572000, Peoples R China
[3] CSSC, Res Inst 713, Zhengzhou 450015, Peoples R China
关键词
Underwater object; Internal wave wakes; Synthetic aperture radar (SAR) image; Bragg effect; OCEAN WAVE; SURFACE; GENERATION; SCATTERING; MODEL; BODY;
D O I
10.1016/j.oceaneng.2024.118185
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In this study, a refined and improved theoretical model was proposed for calculating the synthetic aperture radar (SAR) images of internal wave wakes. This model was based on an equivalent source model of internal wave wakes and the velocity-bunching principle. Wake field, scattering field, and SAR image characteristics were systematically calculated for multiple scenarios. The model described the transfer and solution processes by inputting the background flow field temperature and salinity profiles to map the radar image intensity distribution. The physical mechanisms of the internal wave wake generation and its capture by SAR were comprehensively explained. The effects of various parameters on the internal wave wake SAR images were analyzed comprehensively. The SAR image features containing internal wave wakes were determined based on the graylevel co-occurrence matrix and image power spectrum, which revealed that the maximum surface current induced by the internal wave modes of the same amplitude was considerably larger than that induced by surfacewave mode. When traveling far from the water surface, the rate of change in the total scattering coefficient because of the Bragg effect was approximately 20 times that of the slope effect. In SAR images, the recognizability of wakes depends primarily on the maximum intensity rather than the average disturbance on the sea surface. Therefore, SAR images exhibit considerable differences during downwind radar observations, with the most prominent contrast differences occurring at the maximum spreading angle of wake scattering and 1500 m behind underwater objects. In the image power spectrum, the frequency range of the first modal internal waves was approximately 10-30 Hz, whereas the higher-order modal internal waves had frequencies lower than 10 Hz. Furthermore, the frequency range of the surface-wave mode was larger than that of internal-wave modes, approximately 50-60 Hz.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Backprojection Autofocus of Moving Ships for Synthetic Aperture Radar
    Sommer, Aron
    Ostermann, Joern
    2018 15TH EUROPEAN RADAR CONFERENCE (EURAD), 2018, : 146 - 149
  • [32] Imaging of moving targets using synthetic aperture radar
    DiPietro, R
    Fante, R
    Perry, R
    IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM 1997, VOLS 1-4, 1997, : 2590 - 2590
  • [33] Theory of synthetic aperture radar imaging of a moving target
    Jao, JK
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (09): : 1984 - 1992
  • [34] Internal wave study in the South China Sea using Synthetic Aperture Radar (SAR)
    Liu, AK
    Hsu, MK
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (7-8) : 1261 - 1264
  • [35] Exploring Distributed Scatterers Interferometric Synthetic Aperture Radar Attributes for Synthetic Aperture Radar Image Classification
    Wei, Mingxuan
    Liu, Yuzhou
    Zhu, Chuanhua
    Wang, Chisheng
    REMOTE SENSING, 2024, 16 (15)
  • [36] A Generalized Continuous Wave Synthetic Aperture Radar
    Nan, Yijiang
    Huang, Xiaojing
    Guo, Y. Jay
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [37] Synthetic aperture radar: From signal to image
    Kwak, S
    Lee, Y
    Shin, D
    Park, W
    ON THE CONVERGENCE OF BIO-INFORMATION-, ENVIRONMENTAL-, ENERGY-, SPACE- AND NANO-TECHNOLOGIES, PTS 1 AND 2, 2005, 277-279 : 799 - 804
  • [38] Supervised classification for synthetic aperture radar image
    Universite de Nice-Sophia Antipolis, Sophia Antipolis, France
    ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, (3529-3532):
  • [39] RADAR SPECKLE REDUCTION IN SYNTHETIC APERTURE RADAR PROCESSORS BY A MOVING DIFFUSER
    JAIN, A
    OPTICS COMMUNICATIONS, 1977, 20 (02) : 239 - 242
  • [40] Synthetic Aperture Radar image simulation system
    Xing, Qiang
    Li, Zhen
    Chen, Quan
    SIXTH INTERNATIONAL SYMPOSIUM ON DIGITAL EARTH: MODELS, ALGORITHMS, AND VIRTUAL REALITY, 2010, 7840