Oil spill identification in X-band marine radar image using K-means and texture feature. [PDF]
Marine oil pollution poses a serious threat to the marine ecological balance. It is of great significance to develop rapid and efficient oil spill detection methods for the mitigation of marine oil spill pollution and the restoration of the marine ...
Chen R +6 more
europepmc +3 more sources
Oil spill detection on X-band marine radar images based on sea clutter fitting model. [PDF]
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.
Liu P, Liu B, Li Y, Chen P, Xu J.
europepmc +2 more sources
Research on Cognitive Marine Radar Based on LFM Waveform Control. [PDF]
In this paper, the method of applying cognitive radar technology to marine radar is studied, and the cognitive marine radar structure and transmitted signal model with three control parameters are constructed.
Liu Y, Zhang S, Suo J, Yao T, Zhang J.
europepmc +2 more sources
Detection performance of an X-band marine radar system for free-flying Asian particolored bats (Vespertilio sinensis). [PDF]
The 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.
Sato T, Kawaguchi Y.
europepmc +2 more sources
A Sea Clutter Suppression Method Based on Machine Learning Approach for Marine Surveillance Radar
Marine surveillance radar is widely used in marine monitoring for its ability of observing sea surface all-time and all-weather. However, the radar target detection performance is seriously affected by the existence of sea clutter.
Weibo Huo, Jifang Pei, Jianyu Yang
exaly +3 more sources
Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets
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 ...
Weimin Huang +2 more
exaly +3 more sources
A Method for Detecting Rainfall From X-Band Marine Radar Images
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.
Wenfeng Ma, Zhen Shi, Zhizhong Lu
exaly +3 more sources
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.
Weimin Huang +2 more
exaly +3 more sources
Marine Radar Oil Spill Extraction Based on Texture Features and BP Neural Network
Marine oil spills are one of the major threats to marine ecological safety, and the rapid identification of oil films is of great significance to the emergency response.
Jin Xu, Baozhu Jia
exaly +3 more sources
Ocean Wind and Wave Measurements Using X-Band Marine Radar: A Comprehensive Review
Ocean wind and wave parameters can be measured by in-situ sensors such as anemometers and buoys. Since the 1980s, X-band marine radar has evolved as one of the remote sensing instruments for such purposes since its sea surface images contain considerable
Xinlong Liu, Eric W Gill, Weimin Huang
exaly +3 more sources

