Determination of Bathymetric and Current Maps by the Method DiSC Based on the Analysis of Nautical X-Band Radar Image Sequences of the Sea Surface (November 2007)

Senet, C.M.; Seemann, J.; Flampouris, Stylianos; Ziemer, F.

doi:10.1109/tgrs.2008.916474

Cited by 118 publications

(89 citation statements)

References 29 publications

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“…In recent years, X-band marine radars have been utilized to measure spectral wave parameters (Nieto-Borge et al, 1999), wave groups (Dankert et al, 2003), individual waves (Dankert and Rosenthal, 2004;Nieto-Borge et al, 2004), surface currents (Senet et al, 2001;Huang et al, 2016), bathymetry (Senet et al, 2008;Bell and Osler, 2011) as well as surface winds (Dankert and Horstmann, 2007;VicenBueno et al, 2013). However, to retrieve significant wave heights, the relative radar image spectrum has to be transferred to a real wave amplitude spectrum using a modulation transfer function (Nieto-Borge et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

A simple method for retrieving significant wave height from Dopplerized X-band radar

Carrasco¹,

Streßer²,

Horstmann³

2017

Ocean Sci.

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Abstract. Retrieving spectral wave parameters such as the peak wave direction and wave period from marine radar backscatter intensity is very well developed. However, the retrieval of significant wave height is difficult because the radar image spectrum (a backscatter intensity variance spectrum) has to be transferred to a wave spectrum (a surface elevation variance spectrum) using a modulation transfer function (MTF) which requires extensive calibration for each individual radar setup. In contrast to the backscatter intensity, the Doppler velocity measured by a coherent radar is induced by the radial velocity (or line-of-sight velocity) of the surface scattering and its periodic component is mainly the contribution of surface waves. Therefore, the variance of the Doppler velocity can be utilized to retrieve the significant wave height. Analyzing approximately 100 days of Doppler velocity measurements of a coherent-on-receive radar operating at X-band with vertical polarization in transmit and receive, a simple relation was derived and validated to retrieve significant wave heights. Comparison to wave measurements of a wave rider buoy as well as an acoustic wave and current profiler resulted in a root mean square error of 0.24 m with a bias of 0.08 m. Furthermore, the different sources of error are discussed and investigated.

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Section: Introductionmentioning

confidence: 99%

A simple method for retrieving significant wave height from Dopplerized X-band radar

Carrasco¹,

Streßer²,

Horstmann³

2017

Ocean Sci.

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“…Since then, the non-coherent method utilizing X-band radar has been well investigated. Multiple algorithms, such as the basic LS (Least Square) fitting method [1], weighted LS method [6], ILS (Iterative LS) approach [7], DiSC (dispersive surface classificatory) method [8], the Polar Current Shell algorithm [9], the Normalized Scalar Product method [10], have been examined by researchers to improve the non-coherent method. Research and measurements of the modulation transfer function have been completed [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

S-Band Doppler Wave Radar System

et al. 2017

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Abstract:In this paper, a novel shore-based S-band microwave Doppler coherent wave radar (Microwave Ocean Remote SEnsor (MORSE)) is designed to improve wave measurements. Marine radars, which operate in the X band, have been widely used for ocean monitoring because of their low cost, small size and flexibility. However, because of the non-coherent measurements and strong absorption of X-band radio waves by rain, these radar systems suffer considerable performance loss in moist weather. Furthermore, frequent calibrations to modify the modulation transfer function are required. To overcome these shortcomings, MORSE, which operates in the S band, was developed by Wuhan University. Because of the coherent measurements of this sensor, it is able to measure the radial velocity of water particles via the Doppler effect. Then the relation between the velocity spectrum and wave height spectrum can be used to obtain the wave height spectra. Finally, wave parameters are estimated from the wave height spectra by the spectrum moment method. Comparisons between MORSE and Waverider MKIII are conducted in this study, and the results, including the non-directional wave height spectra, significant wave height and average wave period, are calculated and displayed. The correlation coefficient of the significant wave height is larger than 0.9, whereas that of the average wave period is approximately 0.4, demonstrating the effectiveness of MORSE for the continuous monitoring of ocean areas with high accuracy.

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“…It is apparent from the above procedure that an inaccurate current estimation may cause deviation in the dispersion relation filter, and consequently, the overall inversion accuracy may be significantly reduced. To this end, several current inversion algorithms have been developed, including the basic least-squares (LS) fitting technique [1], the weighted LS method [7], the iterative LS (ILS) approach [8], the dispersive surface classificator (DiSC) method [9] and the normalized scalar product (NSP) procedure [10]. Furthermore, to refine the performance of these inversion schemes, various modifications have been proposed and applied [11].…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Surface Current Retrieval from X-band Marine Radar Images

et al. 2015

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In this paper, a novel current inversion algorithm from X-band marine radar images is proposed. The routine, for which deep water is assumed, begins with 3-D FFT of the radar image sequence, followed by the extraction of the dispersion shell from the 3-D image spectrum. Next, the dispersion shell is converted to a polar current shell (PCS) using a polar coordinate transformation. After removing outliers along each radial direction of the PCS, a robust sinusoidal curve fitting is applied to the data points along each circumferential direction of the PCS. The angle corresponding to the maximum of the estimated sinusoid function is determined to be the current direction, and the amplitude of this sinusoidal function is the current speed. For validation, the algorithm is tested against both simulated radar images and field data collected by a vertically-polarized X-band system and ground-truthed with measurements from an acoustic Doppler current profiler (ADCP). From the field data, it is observed that when the current speed is less than 0.5 m/s, the root mean square differences between the radar-derived and the ADCP-measured current speed and direction are 7.3 cm/s and 32.7• , respectively. The results indicate that the proposed procedure, unlike most existing current inversion schemes, is not susceptible to high current speeds and circumvents the need to consider aliasing. Meanwhile, the relatively low computational cost makes it an excellent choice in practical marine applications.Remote Sens. 2015, 7 7754

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Determination of Bathymetric and Current Maps by the Method DiSC Based on the Analysis of Nautical X-Band Radar Image Sequences of the Sea Surface (November 2007)

Cited by 118 publications

References 29 publications

A simple method for retrieving significant wave height from Dopplerized X-band radar

A simple method for retrieving significant wave height from Dopplerized X-band radar

S-Band Doppler Wave Radar System

An Algorithm for Surface Current Retrieval from X-band Marine Radar Images

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