Maritime satellite remote sensing data and ship AIS data fusion processing method

Abstract

The invention relates to the technical field of ship positioning, and discloses a marine satellite remote sensing data and ship AIS data fusion processing method, which performs data fusion processing through calculation and simulation of multiple dimensions such as spatial characteristics, time characteristics, target characteristics, dynamic loss characteristics and the like of satellite imaging data and ship AIS trajectory data. Therefore, intelligent ship identification is realized. The satellite space remote sensing technology and the computer vision technology are utilized, and the method has great marine application value in multiple aspects of military tracking, maritime supervision, search and rescue emergency, port service and the like on marine ship and fixed object mark identification. Based on the method provided by the invention, an experimental result shows that the identification accuracy of the ship can reach 90% or above, and if the remote sensing image is preprocessed in advance, the identification accuracy can reach 95% or above. The identification rate of the ship identification model established through the ship feature library can reach 98.5% through verification.

Description

Technical Field

[0001] The present invention relates to the technical field of ship positioning, and in particular to a method for fusing marine satellite remote sensing data with ship AIS data. Background Art

[0002] Since the 1990s, my country has made significant progress in the field of automatic ship identification technology. After entering the 21st century, autonomous and controllable remote sensing satellite technology has developed rapidly. With the increasing busyness and complexity of maritime traffic, the requirements for ship monitoring systems are also getting higher and higher. Traditional video monitoring systems play an important role in maritime supervision. They can capture the visual information of ships in real time and provide intuitive reference for maritime management. At the same time, the automatic identification system (AIS), as another important maritime safety technology, can provide detailed information about ships, including key data such as ship position, speed, and heading.

[0003] Existing technologies mainly use sensors, image and video monitoring, wireless communication technology, radar and geographic information system (GIS) for perception. However, due to the insufficiency of its perception means, it cannot process the identity information of the ship well. In addition, due to the changes in the AIS signal update cycle (ranging from 3 seconds to 6 minutes), signal discrimination effect and changes in ship position, it is difficult to match satellite remote sensing data with AIS. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the existing technology, the present invention provides a method for fusing marine satellite remote sensing data with ship AIS data, which has the advantage of making up for the shortcomings of current perception means and solves the problem that the existing technology mainly uses sensors, image and video monitoring, wireless communication technology, radar and geographic information system (GIS) for perception, and its perception means are insufficient and cannot process the identity information of the ship well.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solution: a method for fusing marine satellite remote sensing data with ship AIS data, comprising the following steps:

[0008] S1, obtaining satellite image data through satellite remote sensing, and preprocessing the obtained image data;

[0009] S2, select the image data of the ship, and then determine whether the ship is a valid ship. If it is a valid ship, obtain the imaging time of the image and the ship coordinates at that time, and then determine the position of the ship and the range matching with AIS according to the obtained coordinates;

[0010] S3, searching AIS data based on the determined matching range and time, performing time matching on the found data, and then performing coordinate matching;

[0011] S4, determine whether the ship is a general cargo ship. If it is a general cargo ship, set the beam width to 0.7, and then perform ship length matching; if not, directly perform ship length matching, set the result as the gimbal target, and then;

[0012] S5, match the tail wave and then match the bow direction behind the scenes.

[0013] Preferably, the pretreatment method in S1 is:

[0014] S1, manual extraction was performed;

[0015] S2, fixed target according to electronic chart;

[0016] S3, extract time points, labels, center points, length, width and tails.

[0017] Preferably, the position of the ship is determined to be divided into nearshore area, port, paved area and open water.

[0018] Preferably, if it is a near-shore area, it will not match with AIS. If it is a port, its matching range is 800 meters. If it is a paved area, its matching range is 3200 meters. If it is an open water area, its matching range is 5000 meters.

[0019] (III) Beneficial effects

[0020] Compared with the prior art, the present invention provides a method for fusing marine satellite remote sensing data with ship AIS data, which has the following beneficial effects:

[0021] 1. Intelligent identification of ships is achieved by calculating and simulating the spatial characteristics, temporal characteristics, target characteristics, dynamic loss characteristics and other dimensions of satellite imaging data and ship AIS trajectory data. Remote sensing technology has the characteristics of active target discovery, target tracking and target visualization. The use of satellite space remote sensing technology and computer vision technology has great maritime application value in military tracking, maritime supervision, search and rescue emergency, port services and other aspects for the identification of ships and fixed objects at sea. Based on the method proposed in this paper, the experimental results show that the accuracy of ship identification can reach more than 90%. If the remote sensing image is preprocessed in advance, the accuracy of identification can reach more than 95%. The ship identification model established through the ship feature library has been verified to reach 98.5% in terms of identification rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural schematic diagram of the present invention; DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] It should be noted that all directional indications in the embodiments of the present application are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0025] In this application, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0026] In addition, in this application, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0027] Among the related technologies, sensors, image and video monitoring, wireless communication technology, radar and geographic information system (GIS) are mainly used for perception. However, due to the insufficiency of the perception means, the identity information of the ship cannot be processed well.

[0028] In order to solve the problems in the related technology to a certain extent, the embodiment of the present application provides a method for fusing and processing marine satellite remote sensing data and ship AIS data, and realizes intelligent identification of ships by calculating and simulating the spatial characteristics, temporal characteristics, target characteristics, dynamic loss characteristics and other dimensions of satellite imaging data and ship AIS trajectory data. Remote sensing technology has the characteristics of actively discovering targets, tracking targets, and visualizing targets. The use of satellite space remote sensing technology and computer vision technology has great marine application value in many aspects such as military tracking, maritime supervision, search and rescue emergency, and port services for the identification of marine ships and fixed objects. Based on the method proposed in this article, the experimental results show that the accuracy of ship identification can reach more than 90%. If the remote sensing image is preprocessed in advance, the accuracy of identification can reach more than 95%. The ship identification model established through the ship feature library has been verified to reach 98.5% in terms of identification rate.

[0029] The present application is described below with reference to the accompanying drawings and specific embodiments:

[0030] Combination Figure 1 The present application embodiment provides a method for fusing marine satellite remote sensing data with ship AIS data, comprising the following steps:

[0031] S1, obtaining satellite image data through satellite remote sensing, and preprocessing the obtained image data;

[0032] S2, select the image data of the ship, and then determine whether the ship is a valid ship. If it is a valid ship, obtain the imaging time of the image and the ship coordinates at that time, and then determine the position of the ship and the range matching with AIS according to the obtained coordinates;

[0033] S3, searching AIS data based on the determined matching range and time, performing time matching on the found data, and then performing coordinate matching;

[0034] S4, determine whether the ship is a general cargo ship. If it is a general cargo ship, set the beam width to 0.7, and then perform ship length matching; if not, directly perform ship length matching, set the result as the gimbal target, and then;

[0035] S5, match the tail wave and then match the bow direction behind the scenes.

[0036] In some embodiments, the preprocessing method in S1 is:

[0037] S1, manual extraction was performed;

[0038] S2, fixed target according to electronic chart;

[0039] S3, extract time points, labels, center points, length, width and tails.

[0040] In some embodiments, the determination of the location of the vessel is divided into nearshore areas, ports, paved areas and open waters.

[0041] In some embodiments, if it is a near-shore area, no matching is performed with AIS, if it is a port, the matching range is 800 meters, if it is a paved area, the matching range is 3200 meters, and if it is an open water area, the matching range is 5000 meters.

[0042] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification.

[0043] In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for fusing marine satellite remote sensing data with ship AIS data, characterized in that: The steps include: S1, obtaining satellite image data through satellite remote sensing, and preprocessing the obtained image data; S2, select the image data of the ship, and then determine whether the ship is a valid ship. If it is a valid ship, obtain the imaging time of the image and the ship coordinates at that time, and then determine the position of the ship and the range matching with AIS according to the obtained coordinates; S3, searching AIS data based on the determined matching range and time, performing time matching on the found data, and then performing coordinate matching; S4, determine whether the ship is a general cargo ship. If it is a general cargo ship, set the beam width to 0.7, and then perform ship length matching; if not, directly perform ship length matching, set the result as the gimbal target, and then; S5, match the tail wave and then match the bow direction behind the scenes.

2. The method for fusing marine satellite remote sensing data with ship AIS data according to claim 1, characterized in that: The preprocessing method in S1 is: S1, manual extraction was performed; S2, fixed target according to electronic chart; S3, extract time points, labels, center points, length, width and tails.

3. The method for fusing marine satellite remote sensing data with ship AIS data according to claim 1, characterized in that: The position of the ship is determined by dividing it into nearshore area, port, paved area and open waters.

4. The method for fusing marine satellite remote sensing data with ship AIS data according to claim 3, characterized in that: If it is a nearshore area, it will not be matched with AIS. If it is a port, it will be matched with a small range. If it is a paved area, it will be matched with a medium range. If it is an open water area, it will be matched with a large range.

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