@inproceedings{2dad7ec497b14cbbb6008da2c75980cf,
title = "Study of SAR Internal Wave Imaging Parameters Based on Experimental Data",
abstract = "Many scholars can invert internal waves (IWS) parameters through IWS SAR images by empirical mode decomposition and other methods. The inversion of depth, velocity and other parameters of underwater moving objects through SAR IWS images has become the target of current research. In this paper, by comparing the errors of half-open angle and wavelength between simulated and measured data under the same working conditions, we hope to lay a foundation for fitting the measured model with the simulated model and inverting the parameter information of the underwater object. In order to ensure the accuracy of the image, this paper discusses the optimal parameters of SAR IWS imaging, and then compares the measured data with the simulated data under different working conditions, analyses the error between the two at half-opening angle and wavelength to prove the consistency between the measured image and the simulated image.",
keywords = "SAR, SAR imaging, image contrast, internal wave",
author = "Lupeng Guo and Bin Zhao and Yun Zhang and Tian Xiao",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Radar Conference, RadarConf 2020 ; Conference date: 21-09-2020 Through 25-09-2020",
year = "2020",
month = sep,
day = "21",
doi = "10.1109/RadarConf2043947.2020.9266659",
language = "英语",
series = "IEEE National Radar Conference - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE Radar Conference, RadarConf 2020",
address = "美国",
}