华东师范大学学报(自然科学版) ›› 2019, Vol. 2019 ›› Issue (2): 184-194,208.doi: 10.3969/j.issn.1000-5641.2019.02.020

• 地理学 • 上一篇    下一篇

基于快速傅里叶变换方法遥感反演海浪波长和水深的仿真分析

沈斯敏1, 朱首贤1, 康彦彦1, 张文静2, 曹广颂1   

  1. 1. 河海大学 海洋学院, 南京 210098;
    2. 国防科技大学 气象海洋学院, 南京 211101
  • 收稿日期:2018-02-11 出版日期:2019-03-25 发布日期:2019-03-27
  • 通讯作者: 朱首贤,男,副教授,硕士生导师,研究方向为海洋动力学与卫星遥感.E-mail:zhushouxian@vip.sina.com E-mail:zhushouxian@vip.sina.com
  • 作者简介:沈斯敏,女,硕士研究生,研究方向为海洋遥感.E-mail:shensm92@qq.com.
  • 基金资助:
    国家自然科学基金(41376012,41076048);中央高校基本科研业务费项目(2018B46914)

Simulation analysis for remote sensing inversion of wavelength and water depth by the Fast Fourier Transform method

SHEN Si-min1, ZHU Shou-xian1, KANG Yan-yan1, ZHANG Wen-jing2, CAO Guang-song1   

  1. 1. College of Oceanography, Hohai University, Nanjing 210098, China;
    2. College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
  • Received:2018-02-11 Online:2019-03-25 Published:2019-03-27

摘要: 利用海浪波峰和波谷位置的遥感影像信息差异,可以基于快速傅里叶变换(FFT)方法反演波长,进而反演近岸水深.本文采用理想波面数据和数值模拟波面数据代替遥感资料进行仿真研究,讨论资料分辨率和子图长度对海浪波长及水深反演的影响.研究结果表明:低分辨率资料反演波长和水深的效果差,但是当资料分辨率达到一定要求时,再提高资料分辨率对波长和水深反演结果没有影响.当波长不存在空间变化时,子图越大,波长反演误差越小.在非均匀变化的地形上,子图长度为4~8倍波长、并且小于或等于地形变化尺度时,波长和水深反演误差小,子图太大或太小时,波长和水深反演误差都增大.

关键词: 快速傅里叶变换, 海浪波长反演, 水深反演, 仿真分析

Abstract: Using the difference in remote sensing reflectivity between wave crest and trough, wavelengths can be inversed by the Fast Fourier Transform (FFT) method to derive the nearshore water depth. Remote sensing images with higher resolution are generally thought to induce less error in marine information inversion. In this study, remote sensing images were replaced by elevation data from ideal equations and numerical simulations to study the effect of data resolution on wavelength inversions and water depths. The results show that low-resolution data result in significant errors in the wavelengths and water depths. But variations in resolution make no difference in reversing the wavelengths and water depths as they reach certain levels. The sub-image size in the FFT method was also studied by simulation analysis. Larger sub-images generate less error in wavelength inversion if the wavelength doesn't vary spatially. On uneven topography, errors from wavelength and water depth inversions are small if the sub-image size is 4-8 times the wavelength and not more than the topography variation; however, when the sub-image is too large or too small, the errors will increase.

Key words: Fast Fourier Transforms (FFT), wavelength inversion, water depth inversion, simulation analysis

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