scholarly journals A Method for Rainfall Detection and Rainfall Intensity Level Retrieval from X-Band Marine Radar Images

2021 ◽  
Vol 11 (4) ◽  
pp. 1565
Author(s):  
Zhizhong Lu ◽  
Lei Sun ◽  
Ying Zhou
Keyword(s):  
Rainfall Intensity ◽  
Detection Threshold ◽  
Radar Data ◽  
Detection Accuracy ◽  
Intensity Level ◽  
Radar Images ◽  
Wave Parameters ◽  
X Band ◽  
Marine Radar ◽  
Rainfall Detection

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 reduce the influence of rainfall noise, the zero-pixel percentage (ZPP) method is widely used to detect rainfall in radar images, but the detection accuracy is limited, and the selection of the threshold needs to be further studied. Based on the ZPP method, the ratio of zero intensity to echo (RZE) method for rainfall detection is proposed in this paper. The detection threshold is determined by statistical analysis of a large amount of radar data. Additionally, it is proposed for the first time to retrieve the rainfall intensity level from X-band marine radar images. In addition, the concept of the occlusion area is proposed. The proposed area and the wave area are used as the rainfall detection area of the radar image, respectively, for experimental research. The data obtained from the Pingtan experimental base in Fujian Province are used to verify the effectiveness of the proposed method. The experimental results show that the detection accuracy of the proposed method is 11.7% higher than that of the ZPP method, and the accuracy of rainfall intensity level retrieval is 84%.

scholarly journals A Method for Retrieving Wave Parameters From Synthetic X-Band Marine Radar Images

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 204880-204890
Author(s):  
Yanbo Wei ◽  
Yan Zheng ◽  
Zhizhong Lu
Keyword(s):  
Radar Images ◽  
Wave Parameters ◽  
X Band ◽  
Marine Radar

scholarly journals A Method for Detecting Rainfall From X-Band Marine Radar Images

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 19046-19057
Author(s):  
Yan Zheng ◽  
Zhen Shi ◽  
Zhizhong Lu ◽  
Wenfeng Ma
Keyword(s):  
Radar Images ◽  
X Band ◽  
Marine Radar

Rain Detection From X-Band Marine Radar Images: A Support Vector Machine-Based Approach

2020 ◽  
Vol 58 (3) ◽  
pp. 2115-2123 ◽  
Author(s):  
Xinwei Chen ◽  
Weimin Huang ◽  
Chen Zhao ◽  
Yingwei Tian
Keyword(s):  
Support Vector Machine ◽  
Support Vector ◽  
Radar Images ◽  
X Band ◽  
Marine Radar

Navigation by Computer Processing of Marine Radar Images

1985 ◽  
Vol 38 (3) ◽  
pp. 375-383 ◽  
Author(s):  
G. L. Austin ◽  
A. Bellon ◽  
M. Riley ◽  
E. Ballantyne
Keyword(s):  
Radar Data ◽  
Computer Processing ◽  
Pattern Recognition Technique ◽  
Radar Images ◽  
Well Yield ◽  
Radar Imagery ◽  
On Line ◽  
Marine Radar ◽  
Recognition Technique ◽  
Better Than

The advantages of being able to process marine radar imagery in an on-line computer system have been illustrated by study of some navigational problems. The experiments suggest that accuracies of the order of 100 metres may be obtained in navigation in coastal regions using map overlays with marine radar data. A similar technique using different radar imagery of the same location suggests that the pattern-recognition technique may well yield a position-keeping ability of better than 10 metres.

Sea-State Monitoring Via X-Band Marine Radar Images Sequences: A New Approach for an Accurate Surface Currents Estimation

2009 ◽  
Author(s):  
Francesco Serafino ◽  
Claudio Lugni ◽  
Francesco Soldovieri
Keyword(s):  
Synthetic Data ◽  
Surface Current ◽  
Key Factors ◽  
State Monitoring ◽  
Sea State ◽  
Reconstruction Procedure ◽  
Factors Affecting ◽  
Radar Images ◽  
X Band ◽  
Marine Radar

This work deals with the sea state monitoring starting from marine radar images collected on a moving ship. For such a topic, one of the key factors affecting the reliability of the reconstruction procedure is the determination of the equivalent surface current that also accounts for the speed of the moving ship. Here, we propose a method able to evaluate also high values of the sea surface current. The reliability of the proposed procedure is shown by a numerical analysis with synthetic data. Finally, we present some preliminary results with measurements collected on a moving ship.

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