The Effect of Radar Ocean Surface Sampling on Wave Spectrum Estimation Using X-Band Marine Radar

Al-Habashneh, Al-Abbass; Moloney, Cecilia; Gill, Eric W.; Huang, Weimin

doi:10.1109/access.2018.2821564

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…In this study, the polar coordinate is adopted due to the following reasons: 1) the whole image only consists of radar backscatter, which makes it more convenient to process using image processing techniques. In contrast, the corners and centers of Cartesian images are blank backgrounds which should be excluded from result analysis; 2) scan conversion from polar to Cartesian coordinates may bring extra artificial distortion [33]. After generating polar images from radar data files, it has been observed that some radial noise lines with high pixel intensities exist in the raw radar images, which are caused by another X-band radar (navigational radar) installed on the vessel.…”

Section: A Preprocessing Of Radar Imagesmentioning

confidence: 99%

Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets

Chen

Huang

Haller

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: A Preprocessing Of Radar Imagesmentioning

confidence: 99%

Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets

Chen

Huang

Haller

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

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“…Moreover, most ships have been equipped with marine radar, which has a small additional cost compared with other remote sensing instruments. To date, X-band marine radar has been widely used to detect the current [4][5][6][7][8][9], bathymetric data [10][11][12][13][14][15][16], and waves [17][18][19][20][21][22][23][24], and significant progress has been achieved in this field. However, the extraction of wind parameters using X-band marine radars still needs further refinement.…”

Section: Introductionmentioning

confidence: 99%

Wind Direction Extraction from X-Band Marine Radar Images Based on the Attenuation Horizontal Component

Wang

2023

Remote Sensing

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This paper presents a novel algorithm based on the attenuation horizontal component for wind direction retrieval from X-band marine radar images. The range dependence of radar return on the ocean surface can be presented in radar images, and the radar return decreases with the increase in range. The traditional curve-fitting method averages the radar return of the whole range to retrieve the wind direction, but it is vulnerable to the interference of fixed objects and long-range low-intensity pixel points. For the pixels with the same range in the polar coordinates of the radar image, the ideal range attenuation model is derived by selecting the pixels with the highest intensity value. The ideal attenuation model is used to fit the attenuation data and calculate the attenuation horizontal component at each azimuth direction. To eliminate the effect of outliers, the iterative optimization method is used in the estimation of the attenuation horizontal component and the weights of the data are continuously updated. Finally, the wind direction is determined based on the azimuthal dependence of the attenuation horizontal component. This algorithm was tested using shipboard radar images and anemometer data collected in the East China Sea. The results show that, compared with the single curve-fitting method, the proposed algorithm can improve the wind direction retrieval accuracy in the case of more fixed targets. Under the condition of more fixed targets, the deviation and root mean square error are reduced by 16.3° and 16.2°, respectively.

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“…Compared with conventional observations, marine radars can directly and continuously obtain sea-surface data and have stronger stability and safety. At present, X-band marine radars have been widely used to detect the current [ 6 , 7 , 8 ], bathymetry data [ 9 , 10 , 11 ] and waves [ 12 , 13 , 14 , 15 ], and significant progress has been achieved in this field. However, the extraction of wind parameters using X-band marine radars still needs further refinement.…”

Section: Introductionmentioning

confidence: 99%

Wind-Direction Estimation from Single X-Band Marine Radar Image Improvement by Utilizing the DWT and Azimuth-Scale Expansion Method

Wang

2022

Entropy

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In this study, a method based on the discrete wavelet transform (DWT) and azimuth-scale expansion is presented to retrieve the sea-surface wind direction from a single X-band marine radar image. The algorithm first distinguishes rain-free and rain-contaminated radar images based on the occlusion zero-pixel percentage and then discards the rain-contaminated images. The radar image whose occlusion areas have been removed is decomposed into different low-frequency sub-images by the 2D DWT, and the appropriate low-frequency sub-image is selected. Images collected with a standard marine HH-polarized X-band radar operating at grazing incidence display a single intensity peak in the upwind direction. To overcome the influence of the occlusion area, before determining the wind direction, the data near the ship bow are shifted to expand the azimuth scale of the data. Finally, a harmonic function is least-square-fitted to the range-averaged radar return of the low-frequency sub-image as a function of the antenna look azimuth to determine the wind direction. Different from the wind-direction retrieval algorithms previously presented, this method is more suitable for sailing ships, as it functions well even if the radar data are heavily blocked. The results show that compared with the single-curve fitting algorithm, the algorithm based on DWT and azimuth-scale expansion can improve the wind-direction results in sailing ships, showing a reduction of 7.84° in the root-mean-square error with respect to the reference.

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The Effect of Radar Ocean Surface Sampling on Wave Spectrum Estimation Using X-Band Marine Radar

Cited by 10 publications

References 13 publications

Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets

Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets

Wind Direction Extraction from X-Band Marine Radar Images Based on the Attenuation Horizontal Component

Wind-Direction Estimation from Single X-Band Marine Radar Image Improvement by Utilizing the DWT and Azimuth-Scale Expansion Method

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