Oil spill detection on X-band marine radar images based on sea clutter fitting model [PDF]
Heliyon, 2023 Oil spills could cause great harm to the natural environment. The ability to identify them accurately is critical for prompt response and treatment. We proposed a sea clutter fitting model of marine radar images for oil spill detection.
Peng Liu +4 more
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A Method for Detecting Rainfall From X-Band Marine Radar Images [PDF]
IEEE Access, 2020 Currently, X-band marine radar images are commonly utilized to retrieve sea wave parameters. However, the marine radar image usually contains rainfall interference noise, which has an effect on the inversion accuracy of the wave parameters.
Yan Zheng +3 more
doaj +5 more sources
Significant wave height prediction from X-band marine radar images using deep learning with 3D convolutions. [PDF]
PLoS ONE, 2023 This research introduces a deep learning method for ocean wave height estimation utilizing a Convolutional Neural Network (CNN) based on the VGGNet. The model is trained on a dataset comprising buoy wave heights and radar images, both critical for marine
Ji-Woo Kwon +2 more
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A New Method of Rainfall Detection from the Collected X-Band Marine Radar Images
Remote Sensing, 2022 To control the quality of X-band marine radar images for retrieving information and improve the inversion accuracy, the research on rainfall detection from marine radar images is investigated in this paper.
Yanbo Wei +5 more
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A Novel Scheme for Extracting Sea Surface Wind Information From Rain-Contaminated X-Band Marine Radar Images [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The presence of rain degrades the performance of sea surface parameter estimation using X-band marine radar. In this article, a novel scheme is proposed to improve wind measurement accuracy from rain-contaminated X-band marine radar data.
Xinwei Chen +2 more
doaj +4 more sources
Applied Sciences, 2021 Currently, it is a hot research topic to retrieve the wave parameters by using X-band marine radar. However, the rainfall noise usually exists in the collected marine radar images, which seriously interferes with the extraction of the wave parameters. To
Zhizhong Lu, Lei Sun, Ying Zhou
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A Method to Correct the Influence of Rain on X-Band Marine Radar Image
IEEE Access, 2017 The backscatter of X-band marine radar is contaminated by rain, which limits the estimation of wave parameters from radar images. A new method is proposed to correct the influence of rain on the gray level radar image, based on 1-D complex continuous ...
Zhongbiao Chen +3 more
doaj +4 more sources
Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The presence of rain may blur surface wave signatures and cause additional radar backscatter, which negatively affects the performance of ocean remote sensing applications (e.g., ocean surface wind and wave parameter measurement) using X-band marine ...
Xinwei Chen +3 more
doaj +3 more sources
Multi-Dimensional Automatic Detection of Scanning Radar Images of Marine Targets Based on Radar PPInet [PDF]
Remote Sensing, 2021 Traditional radar target detection algorithms are mostly based on statistical theory. They have weak generalization capabilities for complex sea clutter environments and diverse target characteristics, and their detection performance would be ...
Xiaolong Chen +5 more
doaj +2 more sources
Detection performance of an X-band marine radar system for free-flying Asian particolored bats (Vespertilio sinensis). [PDF]
PLoS ONEThe rapidly growing number of wind farms is an increasing threat to many bat species and populations worldwide. Monitoring and prediction of bat collision risk requires techniques capable of quantifying bat movements over large spatial areas.
Takahiro Sato, Yoichi Kawaguchi
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