General aviation airport scene anti-intrusion method and system based on video images

Abstract

The invention discloses a general aviation airport scene anti-intrusion method and system based on a video image. The method comprises the following steps: acquiring air target unit information in a target airspace; the aircrafts conforming to the flight take-off and landing table are screened out to serve as civil flights, and non-civil flights serve as aircrafts to be screened; shooting to form a first image and a second image; classifying the aircrafts to be screened into special aircrafts and intrusive aircrafts according to the first image, the second image and the air target unit information of the aircrafts to be screened; and acquiring flight areas of the civil flight, the special aircraft and the intrusive aircraft as intrusive areas for announcement, and communicating the intrusive aircraft to expel the intrusive aircraft. According to the method, the airplanes flying to the general aviation airport can be effectively classified into civil flights, special airplanes and intrusive airplanes under the condition that confidential data is not involved, so that different coping treatments are made, the safety of the general aviation airport is guaranteed, the corresponding intrusive area is planned, and flight control of a control tower is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of general aviation airport anti-intrusion, and in particular to a general aviation airport scene anti-intrusion method and system based on video images. Background Art

[0002] A general aviation airport is an airport that can be used for both special and civil purposes. This type of airport is flexible in design, construction and operation, and can meet the needs of both special and civil flights. The existence of general aviation airports is intended to improve resource utilization efficiency while ensuring the smooth conduct of special and civil aviation activities. Due to confidentiality restrictions, special aircraft are generally unable to obtain relevant information in a timely manner when flying over the airspace above general aviation airports, which makes it difficult to identify whether the air unit is an inadvertently intruding civil aircraft during the anti-intrusion process of general aviation airports, affecting the safety of general aviation airport use. Summary of the invention

[0003] In order to solve the above problems, the present application provides a general aviation airport scene anti-intrusion method and system based on video images.

[0004] The present invention is achieved through the following technical solutions:

[0005] In a first aspect, an embodiment of the present application provides a general aviation airport scene anti-intrusion method based on video images, comprising:

[0006] Monitoring the target airspace above the general aviation airport by radar and acquiring air target unit information in the target airspace; the air target unit information includes target position, target heading and target speed;

[0007] According to the flight take-off and landing table of the general aviation airport, the aircraft that meets the flight take-off and landing table are screened from the air target unit information as civil flights, and non-civil flights are used as aircraft to be screened;

[0008] The aircraft to be screened is photographed by a visible light camera to form a first image, and the aircraft to be screened is photographed by a thermal imaging camera to form a second image; the visible light camera and the infrared camera are arranged at the same point;

[0009] Classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened;

[0010] The flight areas of the civil flights, special aircraft and intrusion aircraft are obtained and announced as intrusion areas, and the intrusion aircraft are communicated to drive them away.

[0011] When the embodiment of the present application is implemented, since the relevant information of special aircraft will not be notified, it is necessary to first obtain the air target unit information in the target airspace through radar during the anti-intrusion process of the general aviation airport; there may be three situations for the aircraft corresponding to these air target unit information, one is the civil flight taking off and landing at this airport, one is the special aircraft, and the other is other civil aircraft that accidentally invades this airport. For these three types of aircraft, it is generally necessary to prevent intrusion in different ways. For civil flights, since their relevant data are planned in advance, it is only necessary to depict their flight area as the intrusion area for notification. For special aircraft, their relevant information is unknown, so it is necessary to calculate the intrusion area according to the air target unit information for notification, and the calculation method can be calculated by the current position, heading and speed. For other civil aircraft that accidentally invade this airport, the danger lies in that their flight is not easy to predict, so on the one hand, it is necessary to calculate the intrusion area according to their current flight status for notification, and on the other hand, it is necessary to communicate and contact in time to drive them away.

[0012] In an embodiment of the present application, civil flights can be screened out through the flight takeoff and landing table, and non-civil flights are classified as aircraft to be screened. An important purpose of the embodiment of the present application is to distinguish special aircraft from intrusion aircraft among the aircraft to be screened. Its main technical solution is to obtain a first image and a second image, and the aircraft to be screened can be classified into special aircraft and intrusion aircraft through the first image, the second image and the air target unit information, and then perform subsequent corresponding processing. Through the above-mentioned technical solution, the embodiment of the present application can effectively classify aircraft flying over general aviation airports into civil flights, special aircraft and intrusion aircraft without involving confidential data, so as to make different response treatments, ensure the safety of general aviation airports, and plan corresponding intrusion areas to facilitate flight control by the tower.

[0013] In a more specific implementation, classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened includes:

[0014] Acquire the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information, and acquire the engine position of the aircraft to be screened according to the first image and the second image;

[0015] The aircraft to be screened are classified into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position.

[0016] In a more specific implementation, obtaining the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the aerial target unit information includes:

[0017] Performing edge recognition on the first image to obtain an aircraft region, a wing region area, a wing span, a fuselage length and a fuselage width as image aircraft parameters;

[0018] Calculating the distance from the aircraft to be screened to the visible light camera through the target position;

[0019] The image aircraft parameters are corrected by the distance and the target heading to form correction parameters, and the aspect ratio and the slenderness ratio are calculated according to the correction parameters.

[0020] In a more specific implementation, correcting the aircraft parameter by the distance and the target heading to form a correction parameter, and calculating the aspect ratio and the slenderness ratio according to the correction parameter includes:

[0021] Correcting the image aircraft parameters to actual aircraft parameters according to the distance; the actual aircraft parameters include actual wing area, actual wing span, actual fuselage length and actual fuselage width;

[0022] Calculate the direction from the visible light camera to the aircraft to be screened as a reference direction;

[0023] Calculating the angle between the projection of the reference direction on the plane where the aircraft to be screened is located and the target heading as a reference angle;

[0024] Calculating the product of the actual fuselage length and the sine value of the reference angle as a corrected fuselage length;

[0025] The ratio of the corrected fuselage length to the actual fuselage width is calculated as the slenderness ratio, and the ratio of the actual wing area to the actual wing span is calculated and multiplied by the sine value of the reference angle as the aspect ratio.

[0026] In a more specific implementation, obtaining the engine position of the aircraft to be screened according to the first image and the second image includes:

[0027] The point in the second image where the pixel value exceeds the threshold and is located in the aircraft area is used as the engine position of the aircraft to be screened.

[0028] In a more specific implementation, classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position comprises:

[0029] When the aspect ratio is less than or equal to a first preset value, the aircraft to be screened is regarded as a special aircraft;

[0030] When the aspect ratio is greater than a first preset value and the engine is located at the tail of the aircraft to be screened, the aircraft to be screened is regarded as an intruding aircraft;

[0031] When the aspect ratio is greater than a first preset value and the engine is located at the wing of the aircraft to be screened, the aircraft to be screened whose slenderness ratio is greater than a second preset value is regarded as an intruding aircraft;

[0032] When the aspect ratio is greater than a first preset value and the engine is located at the wing of the aircraft to be screened, the aircraft to be screened whose slenderness ratio is less than or equal to a second preset value is regarded as a special aircraft.

[0033] In a second aspect, the embodiment of the present application further provides a general aviation airport scene anti-intrusion system based on video images, comprising:

[0034] An acquisition unit is configured to monitor the target airspace above the general aviation airport through a radar and acquire air target unit information in the target airspace; the air target unit information includes a target position, a target heading, and a target speed;

[0035] a screening unit configured to screen out aircraft that meet the flight take-off and landing table from the air target unit information according to the flight take-off and landing table of the general aviation airport as civil flights, and to screen out non-civil flights as aircraft to be screened;

[0036] An imaging unit is configured to photograph the aircraft to be screened by a visible light camera to form a first image, and to photograph the aircraft to be screened by a thermal imaging camera to form a second image; the visible light camera and the infrared camera are arranged at the same point;

[0037] a classification unit configured to classify the aircraft to be screened into a special aircraft and an intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened;

[0038] The intrusion unit is configured to obtain the flight areas of the civil flights, special aircraft and intrusion aircraft as intrusion areas for notification, and communicate with the intrusion aircraft to drive the intrusion aircraft away.

[0039] In a more specific implementation, the classification unit is further configured to:

[0040] Acquire the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information, and acquire the engine position of the aircraft to be screened according to the first image and the second image;

[0041] The aircraft to be screened are classified into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position.

[0042] In a more specific implementation, the classification unit is further configured to:

[0043] Performing edge recognition on the first image to obtain an aircraft region, a wing region area, a wing span, a fuselage length and a fuselage width as image aircraft parameters;

[0044] Calculating the distance from the aircraft to be screened to the visible light camera through the target position;

[0045] The image aircraft parameters are corrected by the distance and the target heading to form correction parameters, and the aspect ratio and the slenderness ratio are calculated according to the correction parameters.

[0046] In a more specific implementation, the classification unit is further configured to:

[0047] Correcting the image aircraft parameters to actual aircraft parameters according to the distance; the actual aircraft parameters include actual wing area, actual wing span, actual fuselage length and actual fuselage width;

[0048] Calculate the direction from the visible light camera to the aircraft to be screened as a reference direction;

[0049] Calculating the angle between the projection of the reference direction on the plane where the aircraft to be screened is located and the target heading as a reference angle;

[0050] Calculating the product of the actual fuselage length and the sine value of the reference angle as a corrected fuselage length;

[0051] The ratio of the corrected fuselage length to the actual fuselage width is calculated as the slenderness ratio, and the ratio of the actual wing area to the actual wing span is calculated and multiplied by the sine value of the reference angle as the aspect ratio.

[0052] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0053] Through the above technical scheme, the present invention can effectively classify aircraft flying over general aviation airports into civil flights, special aircraft and intrusion aircraft without involving confidential data, so as to make different responses, ensure the safety of general aviation airports, and plan corresponding intrusion areas to facilitate flight control by the tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0055] Figure 1Schematic diagram of the method steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0057] Example

[0058] Combined with reference Figure 1 , which is a flow chart of a general aviation airport scene anti-intrusion method based on video images provided in an embodiment of the present invention. Furthermore, the general aviation airport scene anti-intrusion method based on video images may specifically include the contents described in the following steps S1-S5.

[0059] S1: monitoring the target airspace above the general aviation airport through radar, and obtaining air target unit information in the target airspace; the air target unit information includes target position, target heading and target speed;

[0060] S2: According to the flight take-off and landing table of the general aviation airport, the aircraft that meets the flight take-off and landing table is screened out from the air target unit information as civil flights, and non-civil flights are used as aircraft to be screened;

[0061] S3: photographing the aircraft to be screened by a visible light camera to form a first image, and photographing the aircraft to be screened by a thermal imaging camera to form a second image; the visible light camera and the infrared camera are arranged at the same point;

[0062] S4: classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened;

[0063] S5: Acquire the flight areas of the civil flights, special aircraft and intruding aircraft as intrusion areas for notification, and communicate with the intruding aircraft to drive them away.

[0064] When the embodiment of the present application is implemented, since the relevant information of special aircraft will not be notified, it is necessary to first obtain the air target unit information in the target airspace through radar during the anti-intrusion process of the general aviation airport; there may be three situations for the aircraft corresponding to these air target unit information, one is the civil flight taking off and landing at this airport, one is the special aircraft, and the other is other civil aircraft that accidentally invades this airport. For these three types of aircraft, it is generally necessary to prevent intrusion in different ways. For civil flights, since their relevant data are planned in advance, it is only necessary to depict their flight area as the intrusion area for notification. For special aircraft, their relevant information is unknown, so it is necessary to calculate the intrusion area according to the air target unit information for notification, and the calculation method can be calculated by the current position, heading and speed. For other civil aircraft that accidentally invade this airport, the danger lies in that their flight is not easy to predict, so on the one hand, it is necessary to calculate the intrusion area according to their current flight status for notification, and on the other hand, it is necessary to communicate and contact in time to drive them away.

[0065] In an embodiment of the present application, civil flights can be screened out through the flight takeoff and landing table, and non-civil flights are classified as aircraft to be screened. An important purpose of the embodiment of the present application is to distinguish special aircraft from intrusion aircraft among the aircraft to be screened. Its main technical solution is to obtain a first image and a second image, and the aircraft to be screened can be classified into special aircraft and intrusion aircraft through the first image, the second image and the air target unit information, and then perform subsequent corresponding processing. Through the above-mentioned technical solution, the embodiment of the present application can effectively classify aircraft flying over general aviation airports into civil flights, special aircraft and intrusion aircraft without involving confidential data, so as to make different response treatments, ensure the safety of general aviation airports, and plan corresponding intrusion areas to facilitate flight control by the tower.

[0066] In a more specific implementation, classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened includes:

[0067] Acquire the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information, and acquire the engine position of the aircraft to be screened according to the first image and the second image;

[0068] The aircraft to be screened are classified into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position.

[0069] When implementing the embodiment of the present application, the inventors have analyzed and studied the relevant data of different types of aircraft and found that the aircraft to be screened can be classified into special aircraft and intrusion aircraft by three data: aspect ratio, slenderness ratio and engine position. The aspect ratio and slenderness ratio can be identified by the first image combined with the data such as the heading related to the aircraft to be screened, and the engine position can be identified by the first image and the second image.

[0070] In a more specific implementation, obtaining the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the aerial target unit information includes:

[0071] Performing edge recognition on the first image to obtain an aircraft region, a wing region area, a wing span, a fuselage length and a fuselage width as image aircraft parameters;

[0072] Calculating the distance from the aircraft to be screened to the visible light camera through the target position;

[0073] The image aircraft parameters are corrected by the distance and the target heading to form correction parameters, and the aspect ratio and the slenderness ratio are calculated according to the correction parameters.

[0074] When the embodiment of the present application is implemented, the calculation of the aspect ratio and the slenderness ratio needs to be measured and calculated through the first image, wherein the wing area, wing span, fuselage length and fuselage width obtained after edge recognition are all data in the image. At this time, it is necessary to convert these data into actual data according to the distance from the aircraft to be screened to the visible light camera, and further calculate the aspect ratio and the slenderness ratio. The conversion process can be achieved by calibrating the visible light camera. This technology has been widely used in machine vision technology. Its main principle is that the length data in the image at different distances will have a corresponding proportional relationship with the actual length data, and the embodiment of the present application does not make much limitation.

[0075] In a more specific implementation, correcting the aircraft parameter by the distance and the target heading to form a correction parameter, and calculating the aspect ratio and the slenderness ratio according to the correction parameter includes:

[0076] Correcting the image aircraft parameters to actual aircraft parameters according to the distance; the actual aircraft parameters include actual wing area, actual wing span, actual fuselage length and actual fuselage width;

[0077] Calculate the direction from the visible light camera to the aircraft to be screened as a reference direction;

[0078] Calculating the angle between the projection of the reference direction on the plane where the aircraft to be screened is located and the target heading as a reference angle;

[0079] Calculating the product of the actual fuselage length and the sine value of the reference angle as a corrected fuselage length;

[0080] The ratio of the corrected fuselage length to the actual fuselage width is calculated as the slenderness ratio, and the ratio of the actual wing area to the actual wing span is calculated and multiplied by the sine value of the reference angle as the aspect ratio.

[0081] When the embodiment of the present application is implemented, among the actual aircraft parameters calculated, since the aircraft to be identified by the slenderness ratio is a special transport aircraft or other takeoff, the fuselage feature of the special transport aircraft can be approximately cylindrical, so the influence of the reference angle on it can be ignored, and at this time, the slenderness ratio can be calculated by only correcting the actual fuselage length by the reference angle to generate the corrected fuselage length. As for the aspect ratio, it should be the ratio of the actual wing area to the wing span, and the influence of the shooting angle on the actual wing area and the wing span will be eliminated in the ratio, so only the influence of the shooting angle on the fuselage length needs to be considered.

[0082] In a more specific implementation, obtaining the engine position of the aircraft to be screened according to the first image and the second image includes:

[0083] The point in the second image where the pixel value exceeds the threshold and is located in the aircraft area is used as the engine position of the aircraft to be screened.

[0084] When the embodiment of the present application is implemented, the engine position can be found by judging the pixel value in the second image, and the engine position will also be located in the aircraft area.

[0085] In a more specific implementation, classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position comprises:

[0086] When the aspect ratio is less than or equal to a first preset value, the aircraft to be screened is regarded as a special aircraft;

[0087] When the aspect ratio is greater than a first preset value and the engine is located at the tail of the aircraft to be screened, the aircraft to be screened is regarded as an intruding aircraft;

[0088] When the aspect ratio is greater than a first preset value and the engine is located at the wing of the aircraft to be screened, the aircraft to be screened whose slenderness ratio is greater than a second preset value is regarded as an intruding aircraft;

[0089] When the aspect ratio is greater than a first preset value and the engine is located at the wing of the aircraft to be screened, the aircraft to be screened whose slenderness ratio is less than or equal to a second preset value is regarded as a special aircraft.

[0090] When the embodiment of the present application is implemented, when the aspect ratio is less than or equal to the first preset value, it is a typical supersonic aircraft, so it is regarded as a special aircraft. When the aspect ratio is greater than the first preset value and the engine is located at the tail of the aircraft to be screened, it is generally a civil aircraft with an engine set at the tail. Special aircraft with an aspect ratio greater than the first preset value are generally special aircraft for transportation. Their main characteristics are that the aircraft capacity is large, so the slenderness is small, and at the same time, their engine is located under the wing. Through these two judgment conditions, special aircraft and intrusion aircraft can be more accurately identified.

[0091] Based on the same inventive concept, the embodiment of the present application also provides a general aviation airport scene anti-intrusion system based on video images, including:

[0092] An acquisition unit is configured to monitor the target airspace above the general aviation airport through a radar and acquire air target unit information in the target airspace; the air target unit information includes a target position, a target heading, and a target speed;

[0093] a screening unit configured to screen out aircraft that meet the flight take-off and landing table from the air target unit information according to the flight take-off and landing table of the general aviation airport as civil flights, and to screen out non-civil flights as aircraft to be screened;

[0094] An imaging unit is configured to photograph the aircraft to be screened by a visible light camera to form a first image, and to photograph the aircraft to be screened by a thermal imaging camera to form a second image; the visible light camera and the infrared camera are arranged at the same point;

[0095] a classification unit configured to classify the aircraft to be screened into a special aircraft and an intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened;

[0096] The intrusion unit is configured to obtain the flight areas of the civil flights, special aircraft and intrusion aircraft as intrusion areas for notification, and communicate with the intrusion aircraft to drive the intrusion aircraft away.

[0097] In a more specific implementation, the classification unit is further configured to:

[0098] Acquire the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information, and acquire the engine position of the aircraft to be screened according to the first image and the second image;

[0099] The aircraft to be screened are classified into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position.

[0100] In a more specific implementation, the classification unit is further configured to:

[0101] Performing edge recognition on the first image to obtain an aircraft region, a wing region area, a wing span, a fuselage length and a fuselage width as image aircraft parameters;

[0102] Calculating the distance from the aircraft to be screened to the visible light camera through the target position;

[0103] The image aircraft parameters are corrected by the distance and the target heading to form correction parameters, and the aspect ratio and the slenderness ratio are calculated according to the correction parameters.

[0104] In a more specific implementation, the classification unit is further configured to:

[0105] Correcting the image aircraft parameters to actual aircraft parameters according to the distance; the actual aircraft parameters include actual wing area, actual wing span, actual fuselage length and actual fuselage width;

[0106] Calculate the direction from the visible light camera to the aircraft to be screened as a reference direction;

[0107] Calculating the angle between the projection of the reference direction on the plane where the aircraft to be screened is located and the target heading as a reference angle;

[0108] Calculating the product of the actual fuselage length and the sine value of the reference angle as a corrected fuselage length;

[0109] The ratio of the corrected fuselage length to the actual fuselage width is calculated as the slenderness ratio, and the ratio of the actual wing area to the actual wing span is calculated and multiplied by the sine value of the reference angle as the aspect ratio.

[0110] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0111] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0112] The units described as separate components may or may not be physically separated. As a unit, it can be appreciated by those skilled in the art that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0113] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a grid device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0115] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A general aviation airport scene anti-intrusion method based on video images, characterized in that: include: Monitor the target airspace above the general aviation airport through radar and obtain information on air target units in the target airspace; The air target unit information includes target position, target heading and target speed; According to the flight take-off and landing table of the general aviation airport, the aircraft that meets the flight take-off and landing table are screened from the air target unit information as civil flights, and non-civil flights are used as aircraft to be screened; The aircraft to be screened is photographed by a visible light camera to form a first image, and the aircraft to be screened is photographed by a thermal imaging camera to form a second image; The visible light camera and the infrared camera are arranged at the same point; Classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened; The flight areas of the civil flights, special aircraft and intrusion aircraft are obtained and announced as intrusion areas, and the intrusion aircraft are communicated to drive them away.

2. A general aviation airport scene anti-intrusion method based on video images according to claim 1, characterized in that: Classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened includes: Acquire the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information, and acquire the engine position of the aircraft to be screened according to the first image and the second image; The aircraft to be screened are classified into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position.

3. A general aviation airport scene anti-intrusion method based on video images according to claim 2, characterized in that: Acquiring the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information includes: Performing edge recognition on the first image to obtain an aircraft region, a wing region area, a wing span, a fuselage length and a fuselage width as image aircraft parameters; Calculating the distance from the aircraft to be screened to the visible light camera through the target position; The image aircraft parameters are corrected by the distance and the target heading to form correction parameters, and the aspect ratio and the slenderness ratio are calculated according to the correction parameters.

4. A general aviation airport scene anti-intrusion method based on video images according to claim 3, characterized in that: Correcting the aircraft parameter by the distance and the target heading to form a correction parameter, and calculating the aspect ratio and the slenderness ratio according to the correction parameter comprises: Correcting the image aircraft parameters to actual aircraft parameters according to the distance; the actual aircraft parameters include actual wing area, actual wing span, actual fuselage length and actual fuselage width; Calculate the direction from the visible light camera to the aircraft to be screened as a reference direction; Calculating the angle between the projection of the reference direction on the plane where the aircraft to be screened is located and the target heading as a reference angle; Calculating the product of the actual fuselage length and the sine value of the reference angle as a corrected fuselage length; The ratio of the corrected fuselage length to the actual fuselage width is calculated as the slenderness ratio, and the ratio of the actual wing area to the actual wing span is calculated and multiplied by the sine value of the reference angle as the aspect ratio.

5. The method for preventing intrusion into a general aviation airport scene based on video images according to claim 3, characterized in that: Acquiring the engine position of the aircraft to be screened according to the first image and the second image includes: The point in the second image where the pixel value exceeds the threshold and is located in the aircraft area is used as the engine position of the aircraft to be screened.

6. A general aviation airport scene anti-intrusion method based on video images according to claim 2, characterized in that: Classifying the aircraft to be screened into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position includes: When the aspect ratio is less than or equal to a first preset value, the aircraft to be screened is regarded as a special aircraft; When the aspect ratio is greater than a first preset value and the engine is located at the tail of the aircraft to be screened, the aircraft to be screened is regarded as an intruding aircraft; When the aspect ratio is greater than a first preset value and the engine is located at the wing of the aircraft to be screened, the aircraft to be screened whose slenderness ratio is greater than a second preset value is regarded as an intruding aircraft; When the aspect ratio is greater than a first preset value and the engine is located at the wing of the aircraft to be screened, the aircraft to be screened whose slenderness ratio is less than or equal to a second preset value is regarded as a special aircraft.

7. A general aviation airport scene anti-intrusion system based on video images, characterized in that: include: An acquisition unit is configured to monitor the target airspace above the general aviation airport through radar and acquire air target unit information in the target airspace; The air target unit information includes target position, target heading and target speed; a screening unit configured to screen out aircraft that meet the flight take-off and landing table from the air target unit information according to the flight take-off and landing table of the general aviation airport as civil flights, and to screen out non-civil flights as aircraft to be screened; An imaging unit is configured to photograph the aircraft to be screened by a visible light camera to form a first image, and to photograph the aircraft to be screened by a thermal imaging camera to form a second image; the visible light camera and the infrared camera are arranged at the same point; a classification unit configured to classify the aircraft to be screened into a special aircraft and an intrusion aircraft according to the first image, the second image and the air target unit information of the aircraft to be screened; The intrusion unit is configured to obtain the flight areas of the civil flights, special aircraft and intrusion aircraft as intrusion areas for notification, and communicate with the intrusion aircraft to drive the intrusion aircraft away.

8. A general aviation airport surface anti-intrusion system based on video images according to claim 7, characterized in that: The classification unit is further configured to: Acquire the aspect ratio and slenderness ratio of the aircraft to be screened according to the first image and the air target unit information, and acquire the engine position of the aircraft to be screened according to the first image and the second image; The aircraft to be screened are classified into special aircraft and intrusion aircraft according to the aspect ratio, the slenderness ratio and the engine position.

9. A method for preventing intrusion into a general aviation airport scene based on video images according to claim 8, characterized in that: The classification unit is further configured to: Performing edge recognition on the first image to obtain an aircraft region, a wing region area, a wing span, a fuselage length and a fuselage width as image aircraft parameters; Calculating the distance from the aircraft to be screened to the visible light camera through the target position; The image aircraft parameters are corrected by the distance and the target heading to form correction parameters, and the aspect ratio and the slenderness ratio are calculated according to the correction parameters.

10. A general aviation airport scene anti-intrusion method based on video images according to claim 9, characterized in that: The classification unit is further configured to: Correcting the image aircraft parameters to actual aircraft parameters according to the distance; the actual aircraft parameters include actual wing area, actual wing span, actual fuselage length and actual fuselage width; Calculate the direction from the visible light camera to the aircraft to be screened as a reference direction; Calculating the angle between the projection of the reference direction on the plane where the aircraft to be screened is located and the target heading as a reference angle; Calculating the product of the actual fuselage length and the sine value of the reference angle as a corrected fuselage length; The ratio of the corrected fuselage length to the actual fuselage width is calculated as the slenderness ratio, and the ratio of the actual wing area to the actual wing span is calculated and multiplied by the sine value of the reference angle as the aspect ratio.

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