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

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.

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Navigation by Computer Processing of Marine Radar Images

Journal of Navigation ◽

10.1017/s0373463300032744 ◽

1985 ◽

Vol 38 (3) ◽

pp. 375-383 ◽

Cited By ~ 2

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.

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Study of the route correction system for the on-board navigation system of an unmanned aerial vehicle on the grounds of radar images of the terrain

Automation. Modern Techologies ◽

10.36652/0869-4931-2020-74-3-129-134 ◽

2020 ◽

pp. 129-134

Keyword(s):

Predictive Model ◽

Unmanned Aerial Vehicle ◽

Predictive Models ◽

Navigation System ◽

Error Compensation ◽

Compensation Scheme ◽

Radar Images ◽

Aerial Vehicle ◽

System Errors ◽

Correction System

The system of route correction of an unmanned aerial vehicle (UAV) is considered. For the route correction the on-board radar complex is used. In conditions of active interference, it is impossible to use radar images for the route correction so it is proposed to use the on-board navigation system with algorithmic correction. An error compensation scheme of the navigation system in the output signal using the algorithm for constructing a predictive model of the system errors is applied. The predictive model is building using the genetic algorithm and the method of group accounting of arguments. The quality comparison of the algorithms for constructing predictive models is carried out using mathematical modeling.

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Gaussian Process Regression for Estimating Wind Speed From X-band Marine Radar Images

OCEANS 2018 MTS/IEEE Charleston ◽

10.1109/oceans.2018.8604842 ◽

2018 ◽

Author(s):

Xinwei Chen ◽

Weimin Huang

Keyword(s):

Wind Speed ◽

Gaussian Process ◽

Gaussian Process Regression ◽

Radar Images ◽

X Band ◽

Marine Radar

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A Simple Model for Marine Radar Images of the Ocean Surface

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2015.2478390 ◽

2015 ◽

Vol 12 (12) ◽

pp. 2389-2392 ◽

Cited By ~ 5

Author(s):

David R. Lyzenga ◽

David T. Walker

Keyword(s):

Simple Model ◽

Ocean Surface ◽

Radar Images ◽

Marine Radar

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Observation of Sea Ice Drift Characteristics with Marine Radar Images on an Offshore Platform in the Bohai Sea

Journal of Waterway Port Coastal and Ocean Engineering ◽

10.1061/(asce)ww.1943-5460.0000646 ◽

2021 ◽

Vol 147 (4) ◽

Author(s):

Xue Long ◽

Xiaodong Chen ◽

Anliang Wang ◽

Yu Liu ◽

Shunying Ji

Keyword(s):

Sea Ice ◽

Bohai Sea ◽

Offshore Platform ◽

The Bohai Sea ◽

Radar Images ◽

Ice Drift ◽

Sea Ice Drift ◽

Marine Radar

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Towards Nonlinear Wave Reconstruction and Prediction From Synthetic Radar Images

Volume 7: Ocean Engineering ◽

10.1115/omae2016-54496 ◽

2016 ◽

Cited By ~ 1

Author(s):

A. P. Wijaya

Keyword(s):

Vertical Direction ◽

Sea Surface ◽

Sea State ◽

Operational Effectiveness ◽

State Reconstruction ◽

Radar Images ◽

First Results ◽

Marine Radar ◽

Offshore Activities

The use of remotely wave sensing by a marine radar is increasingly needed to provide wave information for the sake of safety and operational effectiveness in many offshore activities. Reconstruction of radar images needs to be carried out since radar images are a poor representation of the sea surface elevation: effects like shadowing and tilt determine the backscattered intensity of the images. In [1], the sea state reconstruction and wave propagation to the radar has been tackled successfully for synthetic radar images of linear seas, except for a scaling in the vertical direction. The determination of the significant wave height from the shadowed images only has been described in [2]. This paper will summarize these methods, and provides the first results for the extension to nonlinear seas.

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