Significant wave height determined from sequence of X-band radar images using Teager-Huang Transform

M. R. Mortazavi, C. J. Huang, L. C. Wu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This work introduces a nonlinear and data-dependant method for extracting the significant wave height from a sequence of X-band radar images, which is based on the Teager-Huang Transform (THH). The THH comprises two parts, which are empirical mode decomposition (EMD) and application of the Teager-Kaiser energy operator (TKEO). EMD is applied to decompose the images into various decompositions, which are narrow-banded and have mono-components; TKEO separates the aforementioned narrow-banded components into their amplitude and frequency. The standard deviation of the separated amplitude is related to Hs, and, the relation is obtained by calibrating radar data with in situ data (buoy). The separated frequencies reveal the orientation and intensity of data, which are directly related to the direction of the waves. For validation, the method was applied to sequences of radar images that were obtained from the west coast of Taiwan. The results obtained using the method indicate that THH can be used specifically to estimate Hs with a root mean square error (RMSE) of 0.34 m. Furthermore, the developed method can efficiently measure the direction of waves at each specific point in an image.

原文English
主出版物標題International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
編輯G. Schreier, P. E. Skrovseth, H. Staudenrausch
發行者International Society for Photogrammetry and Remote Sensing
頁面1265-1268
頁數4
版本7W3
ISBN(電子)9780000000002, 9781629934297, 9781629935126, 9781629935201
DOIs
出版狀態Published - 2015 四月 28
事件2015 36th International Symposium on Remote Sensing of Environment - Berlin, Germany
持續時間: 2015 五月 112015 五月 15

出版系列

名字International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
號碼7W3
40
ISSN(列印)1682-1750

Other

Other2015 36th International Symposium on Remote Sensing of Environment
國家/地區Germany
城市Berlin
期間15-05-1115-05-15

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 地理、規劃與發展

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