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.

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%.

Monitoring Drilling Wear States by a Fuzzy Pattern Recognition Technique

1988 ◽  
Vol 110 (3) ◽  
pp. 297-300 ◽  
Author(s):  
P. G. Li ◽  
S. M. Wu
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Technique ◽  
New Approach ◽  
Fuzzy Pattern Recognition ◽  
Fuzzy Pattern ◽  
On Line ◽  
Tool Replacement ◽  
Simulation Results ◽  
Recognition Technique ◽  
Fuzzy C Means Algorithm

This paper introduces a new approach for on-line monitoring of drill wear states by using a fuzzy C-means algorithm. Experimental and simulation results have shown that drill wear conditions can be represented by four fuzzy grades. They are: “initial,” “small,” “normal,” and “severe.” The grade “severe” is proposed to be used as the prediction of tool replacement. This fuzzy technique is more adequate than conventional pattern recognition technqiues.

scholarly journals Spaceborne radar imagery – An under-utilized source of information for humanitarian relief

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Andreas Braun Braun
Keyword(s):  
Radar Data ◽  
Humanitarian Relief ◽  
Humanitarian Action ◽  
Radar Images ◽  
Radar Imagery ◽  
Multi Temporal ◽  
Radar Satellite ◽  
Spaceborne Radar ◽  
Source Of Information ◽  
Humanitarian Work

This practical paper gives an overview about the widely unused potential of radar satellite imagery to assist humanitarian action. It briefly introduces the basic differences between optical and radar images and demonstrates the practical use of the latter in different settings based on their information content and their potential for multi-temporal analyses. It gives recommendations on further reading and closes with suggestions on the practical integration of radar data into humanitarian work.

Sea Trials of a Navigation System Based on Computer Processing of Marine Radar Images

1987 ◽  
Vol 40 (1) ◽  
pp. 73-80 ◽  
Author(s):  
G. L. Austin ◽  
A. Bellon ◽  
E. Ballantyne
Keyword(s):  
Computer Analysis ◽  
Navigation System ◽  
Computer Processing ◽  
Additional Error ◽  
Actual Position ◽  
Radar Images ◽  
Reference Map ◽  
Marine Radar ◽  
Automatic Positioning

A system which yields the automatic positioning of a ship from computer analysis of marine radar images of nearby coastlines has been tested on data from the survey vessel Maxwell while proceeding in and out of Halifax harbour. Differences between radar-determined position fixes and those obtained by a microwave navigation system with an error of the order i o m show little evidence of additional error when the origin of the radar images used as ‘reference map’ is within 500 m of the actual position. As the distance increases the accuracy slowly decreases.

A Variant Group Assignment Three Dimensional Model Using Pattern Recognition Technique

2019 ◽  
Vol 10 (6) ◽  
pp. 1382-1394
Author(s):  
R. Vijayalakshmi ◽  
V. K. Soma Sekhar Srinivas ◽  
E. Manjoolatha ◽  
G. Rajeswari ◽  
M. Sundaramurthy
Keyword(s):  
Pattern Recognition ◽  
Three Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Pattern Recognition Technique ◽  
Group Assignment ◽  
Recognition Technique

Serum SELDI-TOF MS analysis model applied to benign and malignant ovarian tumor identification

2016 ◽  
Vol 8 (1) ◽  
pp. 183-188 ◽  
Author(s):  
Yankun Li ◽  
Xiangchao Zeng
Keyword(s):  
Ovarian Tumor ◽  
Analysis Model ◽  
Pattern Recognition Technique ◽  
Serum Peptide ◽  
Tumor Identification ◽  
Benign Ovarian Tumor ◽  
Malignant Ovarian Tumor ◽  
Peptide Profiles ◽  
Recognition Technique ◽  
Tof Ms

SELDI-TOF MS serum peptide profiles of malignant and benign ovarian tumor samples were studied using a pattern recognition technique.

scholarly journals Almost vanishing polynomials and an application to the Hough transform

2014 ◽  
Vol 13 (08) ◽  
pp. 1450057 ◽  
Author(s):  
Maria-Laura Torrente ◽  
Mauro C. Beltrametti
Keyword(s):  
Hough Transform ◽  
Affine Space ◽  
Bounded Region ◽  
Pattern Recognition Technique ◽  
Local Study ◽  
Affine Hypersurface ◽  
Automated Recognition ◽  
Real Affine ◽  
Necessary And Sufficient ◽  
Recognition Technique

We consider the problem of deciding whether or not an affine hypersurface of equation f = 0, where f = f(x1, …, xn) is a polynomial in ℝ[x1, …, xn], crosses a bounded region 𝒯 of the real affine space 𝔸n. We perform a local study of the problem, and provide both necessary and sufficient numerical conditions to answer the question. Our conditions are based on the evaluation of f at a point p ∈ 𝒯, and derive from the analysis of the differential geometric properties of the hypersurface z = f(x1, …, xn) at p. We discuss an application of our results in the context of the Hough transform, a pattern recognition technique for the automated recognition of curves in images.

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