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Electronic chart and radar image data fusion method based on deep learning

A radar image and electronic chart technology, which is applied in the field of image fusion of shipborne navigation instruments, can solve the problems of low fusion level, lack of robustness, and cumbersome process, and achieve the effect of improving the level of driving automation and improving the safety of navigation.

Active Publication Date: 2019-07-09
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

However, the process of manual compensation is cumbersome and depends on experience
And this kind of superposition fusion level is low, not robust
[0003] Yang "Method of image overlay on radar and electronic chart", Al–sharman "Precision landing using an adaptive fuzzy multi-sensor data fusion architecture.Appl.Soft Comput" and others also showed The fusion level of superposition is low

Method used

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  • Electronic chart and radar image data fusion method based on deep learning
  • Electronic chart and radar image data fusion method based on deep learning
  • Electronic chart and radar image data fusion method based on deep learning

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Embodiment Construction

[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] like figure 1 As shown, this embodiment discloses a method for data fusion of electronic charts and radar images based on deep learning, including the following steps:

[0056] S1. Use the deep learning target detection model to input such as figure 2 The radar image shown is used for target detection, and the characteristic objects...

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Abstract

The invention provides an electronic chart and radar image data fusion method based on deep learning. The method comprises the following steps: carrying out target detection on an input radar image byusing a deep learning target detection model, and identifying a feature object detected by a navigation radar; preprocessing the feature area in the radar image; emitting rays to the geometric centerof the characteristic region in the radar image, and finding a registration reference point; affine transformation based on characteristics is adopted, an electronic chart is used for registering a radar image, and data fusion of the radar image and the electronic chart is achieved. The electronic chart and the radar image are effectively fused, so that a ship driver is helped to better understand the navigation environment, and the driving automation level and the navigation safety are improved.

Description

technical field [0001] The invention relates to the field of image fusion of shipborne navigation instruments, in particular to a method for data fusion of electronic charts and radar images based on deep learning. Background technique [0002] At the application level, in the IEC 62388 (IEC 62388, 2013:62388) radar performance and test annotation, the radar that can overlay the electronic chart on the radar image is called chart radar. The displayed nautical chart information can be selected by the ship driver from the simplest coastline and navigation mark display to the comprehensive display. However, due to certain errors in ship position and heading sensor information, the shielding effect of targets on electromagnetic waves, and the influence of inherent expansion factors in the azimuth and radial direction of radar targets, local inconsistencies will occur when vector charts and radar targets are matched. If errors are confirmed when the instrument is shipped, manual...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00G06T5/00G06T5/30G06T5/50G06T7/11G06T7/33G06T7/60
CPCG06T7/11G06T7/33G06T5/50G06T7/60G06T5/30G06T2207/10044G06T2207/20221G06T3/02G06T5/70
Inventor 张闯郭沐壮郭晨
Owner DALIAN MARITIME UNIVERSITY
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