Estimation of surface wave spectra from nautical radar image sequences with a small azimuthal coverage

Seemann, J.; Hatten, H.; Senet, C.M.; Ziemer, F.

doi:10.1109/igarss.1999.774514

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Young et al (Young, 1985) were the first to indicate that the parameters of waves can be extracted from marine X-band radar image sequences by utilizing the three-dimensional Fourier transform (3D FFT). Many researchers (Ziemer, 1994-Seemann, 1999-Nomiyama, 2003 have confirmed the method. However, FFT treats data as homogenous and stationary whereas surface waves are non-stationary and non-homogenous.…”

Section: Introductionmentioning

confidence: 85%

Significant Wave Height Determined From Sequence of X-Band Radar Images Using Teager-Huang Transform

Mortazavi

Huang

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT: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.

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Section: Introductionmentioning

confidence: 85%

Significant Wave Height Determined From Sequence of X-Band Radar Images Using Teager-Huang Transform

Mortazavi

Huang

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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show abstract

“…For marine radar conditions (e.g. Horizontal Horizontal (HH)-polarization, grazing incidence and sensor with logarithmic amplifier), it has been empirically found that the main modulation mechanism in the formation of the radar imagery of ocean waves is shadowing (Seemann et al, 1999;Nieto Borge et al, 2004). Shadowing can be understood as a first-order approach of the backscattering phenomenon to describe the imagery mechanism of ocean waves for ordinary marine radars working in X-band at HH-polarization.…”

Section: Introductionmentioning

confidence: 99%

Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface

et al. 2015

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Dependence of the variation coefficient of nautical radar image sequences on the grazing and azimuth angle and consequences for the calibration

Hatten

Seemann²,

Ziemer³

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)

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Estimation of surface wave spectra from nautical radar image sequences with a small azimuthal coverage

Cited by 3 publications

References 9 publications

Significant Wave Height Determined From Sequence of X-Band Radar Images Using Teager-Huang Transform

Significant Wave Height Determined From Sequence of X-Band Radar Images Using Teager-Huang Transform

Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface

Dependence of the variation coefficient of nautical radar image sequences on the grazing and azimuth angle and consequences for the calibration

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