Supercavitation shell prediction launching system applying remote sensing technology

Abstract

The invention provides a supercavity shell prediction launching system applying a remote sensing technology. The supercavity shell prediction launching system applying the remote sensing technology comprises a submarine, a remote sensing system and a supercavity shell launching system, the remote sensing system comprises a remote sensor, the remote sensor adopts a small platform to carry a synthetic aperture radar, and the supercavity shell launching system carries a supercavity shell launching platform and information processing equipment; the information processing equipment collects environment coordinate information through remote sensing, and the supercavity shell comprises a shell core, a shell shell body and a shell belt. According to the supercavitation shell prediction launching system applying the remote sensing technology, the launching stability of the supercavitation shell is guaranteed, the ballistic instability phenomenon caused by underwater navigation of the shell is avoided, and the stability of the shell in the navigation process is greatly improved; and the accuracy of detecting, identifying and shooting the underwater target navigation body by the system is ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of artillery shell launching, and in particular relates to a supercavitation artillery shell prediction launching system using remote sensing technology. Background Art

[0002] With the rapid development of global economy and science and technology and the continuous growth of military strength of various countries, modern warfare has shown many new characteristics, such as variability, mobility, three-dimensionality, and extension. The scope of operations has been constantly changing from the sky to the ocean, and from the open sea to the offshore area. This requires troops to have not only land combat capabilities, but also underwater combat capabilities.

[0003] With the rapid development of global economy and science and technology and the continuous growth of military strength of various countries, modern warfare has shown many new characteristics, such as variability, mobility, three-dimensionality, and extension. The scope of operations has been constantly changing from the sky to the ocean, and from the open sea to the offshore area. This requires troops to have not only land combat capabilities, but also underwater combat capabilities.

[0004] The resistance encountered by projectiles and other navigation bodies when traveling in water is much greater than that encountered in air. The resistance mainly includes pressure difference resistance and viscous resistance. The pressure difference resistance of projectiles sailing underwater can be reduced by increasing the aspect ratio of the projectile and changing the projectile material. The remaining viscous resistance is the main direction of research on projectile drag reduction. In order to reduce the resistance encountered by projectiles, researchers from various countries have tried many methods, such as optimizing the shape of the moving body, covering the surface of the moving body with new materials, boundary layer suction drag reduction, etc., but these methods have not achieved significant results. The discovery of cavitation phenomenon has led researchers to discover supercavitation drag reduction technology, which can enable underwater projectiles to obtain 90% drag reduction, breaking through the speed limit of underwater projectiles. Through the study and mastery of cavitation characteristics, supercavitation drag reduction technology has been produced. This technology can enable underwater projectiles to obtain 90% drag reduction, breaking through the speed limit of underwater projectiles. Supercavitation projectiles are made of high-density alloy materials, and the warheads have undergone special shape design. The supercavitation drag reduction technology has become a hot topic in the research of maritime operations of various military powers. The weapon system equipped with supercavitation projectiles developed based on the principle of supercavitation drag reduction is mostly used for intercepting torpedoes, anti-frogman forces, destroying UUVs and other tasks. It is installed on aircraft, surface ships and submarines and launched from the air, surface or water. The supercavitation projectile is composed of a high-density alloy material, and the warhead has a special shape design, which can carry the cavitation at transonic speed underwater. Therefore, the supercavitation projectile is a new type of weapon developed based on supercavitation drag reduction technology. It has the ability to continuously navigate at high speed underwater, improve the range and damage capability of the projectile, and achieve precise strikes on underwater targets. It has the advantages of low cost and high efficiency. The supercavitation weapons developed using supercavitation technology have made great contributions to the military field. Countries around the world regard supercavitation research as a hot topic in military weapon research to enhance national naval warfare capabilities and compete for the initiative in future naval battles.

[0005] There are two main reasons why ordinary shells cannot accurately and destructively strike targets in modern underwater warfare:

[0006] It is impossible to fully identify underwater targets. Nowadays, a large number of research results have been obtained in the research direction of using acoustics, electromagnetic waves, etc. for target detection. However, with the application of shock absorption and noise reduction technology, underwater acoustic countermeasures and other technologies, the "stealth" performance of military targets has been improved, and traditional methods are difficult to identify and detect. Therefore, underwater non-acoustic detection technology has become a key development direction, such as remote sensing technology. At present, some scholars have used remote sensing to detect wakes to identify underwater targets. In the wake detection method system, the detection method based on remote sensing technology can achieve large-scale, all-day, all-weather continuous monitoring, and can analyze the speed, position and depth of underwater targets based on data. With the continuous development of remote sensing technology, many high-altitude detection equipment can be equipped with various sensors such as radar, thermal infrared, and optics, and transmit different types of high-resolution images, effectively supporting the detection and analysis of the wake monitoring system, and ensuring the real-time and authenticity of the wake detection.

[0007] When a shell is sailing underwater, it is easy to lose ballistic stability. The stability of the shell when entering the water and sailing underwater is mainly affected by the positive resistance, lift and lateral force. When the shell rotates, there is lateral force, and when there is an angle of attack during the movement of the shell, there are lift and lateral force. The shell structure design, rotation speed, material and external environment will affect its stability. Combining the pitch angle change and the trajectory of the projectile, it is concluded that high-speed rotation can improve the ballistic stability of the projectile in the longitudinal plane. The center of mass of the projectile is relatively forward, which is conducive to the stability of the projectile entering the water. However, during the tail-beating process, the center of mass of the projectile is relatively forward and will be subject to a large negative restoring torque, which affects the stability of the projectile. The larger the length-to-diameter ratio, the more stable the projectile is when it enters the water, and the greater the effective range. The larger aspect ratio is conducive to the stability of the projectile when entering the water, and at the same time improves the movement posture of the projectile, which can reduce the change of the projectile's posture to a certain extent. However, the larger aspect ratio will produce a larger negative angular velocity after the tail beat, which will increase the frequency of the projectile's tail beat movement. Therefore, comprehensive considerations need to be made in the design of the projectile structure. In addition, due to the tail beat movement of the projectile, a structure that is not easy to break should be adopted. The flat-head projectile is stable when entering the water, and the posture change is smaller than that of other models. The projectile adopts a structure that is not easy to deform. The head of the projectile is made of a material with high stiffness and strength, and the tail of the projectile is made of a material with high strength and good toughness.

[0008] In summary, although the existing artillery shell technology can achieve underwater launching to a certain extent, most artillery shell launches cannot accurately hit the target and may cause underwater instability. The present invention adopts remote sensing technology to collect coordinate information, and through remote sensing monitoring of the target, the accuracy of supercavitating shells hitting the target is greatly increased. The underwater ballistic stability proposes a ballistic instability suppression method by considering the shape design, overall properties and material of the supercavitating projectile, and the entry and underwater stability of the supercavitating projectile are achieved by selecting a suitable water entry angle and rotation speed.

[0009] Therefore, it is necessary to provide a new supercavitating projectile prediction launch system using remote sensing technology to solve the above technical problems. Summary of the invention

[0010] The technical problem solved by the present invention is to provide a supercavitating projectile prediction launch system using remote sensing technology, which ensures the stability of supercavitating projectile launch, avoids the ballistic instability phenomenon caused by the projectile sailing underwater, greatly improves the stability of the projectile during navigation, and ensures the accuracy of system detection, identification and shooting of underwater target navigation bodies.

[0011] In order to solve the above technical problems, the supercavitating shell prediction launch system using remote sensing technology provided by the present invention comprises: a submarine, a remote sensing system and a supercavitating shell launch system, wherein the remote sensing system comprises a remote sensor, the remote sensor adopts a small platform equipped with a synthetic aperture radar, and the supercavitating shell launch system carries a supercavitating shell launch platform and information processing equipment;

[0012] The information processing device collects environmental coordinate information through remote sensing, and the supercavitating shell includes a core, a shell and a belt, and the belt and the core are connected to the shell by embedding;

[0013] The total length of the shell is 150 mm, the shell diameter is 30 mm, the shell arc length is 93 mm, the shell column length is 57 mm, and the shell belt width is 5 mm;

[0014] The information processing equipment and the supercavitating shell launching system are carried by a submarine.

[0015] As a further solution of the present invention, the information processing device processes the image information collected and transmitted by the remote sensor at all times and performs algorithm detection on the linear features of the image to form a target coordinate information database. The specific method is as follows:

[0016] (1) Image information collected and transmitted by remote sensors, which can come from satellites, aircraft, drones or other platforms;

[0017] (2) Preprocess the collected remote sensing images, including correction, denoising and enhancement, to improve the accuracy and efficiency of subsequent processing;

[0018] (3) Segment the preprocessed remote sensing image into multiple regions, each of which contains one or more targets;

[0019] (4) Extract features from each segmented area, including color, texture or shape features;

[0020] (5) Using algorithms to detect linear features in each region, such as edges or lines, which may be related to the location or shape of the target;

[0021] (6) Based on the extracted features and linear feature detection results, target recognition is performed for each region. The identified targets may be one or more. For each identified target, its coordinate information is extracted. The coordinate information may be the center point coordinates or bounding box coordinates of the target;

[0022] (7) The extracted target coordinate information is stored in a database. This database can be a simple text file or CSV file, or a complex relational database. As time goes by, new remote sensing images will be collected and transmitted back. These new images will be processed, the target coordinate information will be extracted, and the database will be updated. The target coordinate information database will be used for data analysis and applications, such as target tracking or change monitoring.

[0023] As a further solution of the present invention, after the remote sensing system discovers and confirms the target, it transmits the information to the supercavitating projectile prediction launch system for preparation, calculates the parameters of the launch angle and speed, and then launches the projectile to accurately hit the target.

[0024] As a further solution of the present invention, the remote sensor is separately carried on a small platform separated from the submarine, and the remote sensor uses synthetic aperture radar imaging mapping technology to perform feature detection and identification of underwater targets.

[0025] As a further solution of the present invention, the core is made of 93 tungsten alloy, the shell is made of high-hardness aluminum, the elastic belt is made of copper, and the elastic belt and the core are embedded in the shell to form a connection.

[0026] As a further solution of the present invention, the supercavitating shell has a flat-head structure, which can break through the water flow to form a supercavitation, thereby achieving the purpose of drag reduction. The arc-shaped portion of the supercavitating shell can effectively alleviate the resistance of the shell in the air and water, thereby improving the stability of the shell during navigation.

[0027] As a further solution of the present invention, the supercavitating projectile rotates at high speed during the water entry process, and the influence of the overturning torque on the movement of the projectile can be reduced through the sharp screw stability, thereby ensuring the continuous and stable navigation of the supercavitating projectile.

[0028] As a further solution of the present invention, the remote sensing image segmentation steps are as follows:

[0029] (1) Preprocessing of remote sensing images, including radiation correction, geometric correction, denoising and image enhancement, to improve the accuracy and efficiency of subsequent segmentation;

[0030] (2) Select an appropriate image segmentation algorithm, such as threshold segmentation, region growing, edge detection segmentation, clustering-based segmentation, or deep learning-based segmentation. Different algorithms are suitable for different types of remote sensing images and targets.

[0031] (3) According to the selected segmentation algorithm, set the corresponding parameters, such as threshold, growth criterion, edge detection algorithm or clustering algorithm. These parameters will affect the segmentation effect and need to be adjusted according to the specific remote sensing image and target characteristics;

[0032] (4) Select one or more seed points in the image as the initial region, and gradually expand the region according to the growth criteria until the stop condition is met to form a large region containing one or more targets. Merge and split the generated regions to eliminate small region noise and merge adjacent similar regions. The merging and splitting criteria can be based on the area, shape and texture characteristics of the region;

[0033] (5) Perform target recognition on the segmented area and extract the target of interest. Target recognition can be based on the characteristics of the area, such as color, texture, and shape. For each extracted target, calculate its coordinate information, which can be the center point coordinates and bounding box coordinates of the target;

[0034] (6) Verify the results of segmentation and target extraction, such as comparing them with known target locations. Adjust the segmentation algorithm and parameters based on the verification results to improve the accuracy and robustness of segmentation. Output the segmented area and extracted target coordinate information for subsequent data analysis and application.

[0035] As a further solution of the present invention, the calculation formula of the emission angle (θ) is as follows:

[0036] θ = arctan (target vertical position launch platform height) /

[0037] (Target's horizontal position - launch platform position)

[0038] Among them: the vertical position of the target and the horizontal position of the target are provided by the remote sensing system respectively, and the height and position of the launch platform are also known parameters.

[0039] As a further solution of the present invention, the calculation formula of the emission speed (V) is as follows:

[0040] V = √((target position in horizontal direction - launch platform position) 2 + (target vertical position - launch platform height) 2 / launch system).

[0041] Compared with the related art, the supercavitating projectile prediction launch system using remote sensing technology provided by the present invention has the following beneficial effects:

[0042] 1. The present invention ensures the stability of supercavitation projectile launch, avoids the ballistic instability phenomenon caused by underwater navigation of the projectile, greatly improves the stability of the projectile during navigation, and ensures the accuracy of the system in detecting, identifying and shooting underwater target navigation bodies;

[0043] 2. The present invention uses SAR technology to image some features of underwater vehicle target objects, such as wakes, and uses relevant image processing methods to extract images, and roughly determine the position of the underwater target object based on the image, and then deduce the size and motion characteristics of the underwater vehicle based on the intrinsic relationship between that part of the target object and its structure, speed, etc., so as to achieve detection, identification, shell tracking and destruction of underwater target objects;

[0044] 3. The present invention uses remote sensing technology and supercavitation drag reduction technology to remotely monitor underwater coordinate data sets to form a coordinate database. When attacking and destroying underwater targets, relevant coordinate information is called to achieve precise attack on the target. Supercavitation is generated during the underwater navigation of the projectile to achieve a drag reduction effect, thereby ensuring the lethality of the projectile when hitting the target and the stability during the navigation process.

[0045] 4. The supercavitating shell designed by the present invention has a flat-head structure, which can break through the water flow to form a supercavitation, thereby achieving the purpose of drag reduction. The arc-shaped portion can effectively alleviate the resistance effect of the bullet in the air and water, improve the stability of the shell during navigation, and allow the projectile to rotate at a high speed during entry into the water. The influence of the overturning torque on the movement of the projectile is reduced by the sharp screw stability to ensure the continuous and stable navigation of the supercavitating shell. The surface of the supercavitating shell core is arranged in an arc shape, which is conducive to reducing the resistance in the air and water. The supercavitating shell warhead is a flat-headed shell, which is conducive to the stability of the shell entering the water. The bullet forms a stable natural supercavitation during navigation, which is conducive to reducing the resistance received by the bullet in the water. In addition, underwater target positioning combined with remote sensing technology can achieve accurate damage to the target. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0047] Figure 1 This is a schematic diagram of the overall structure of the supercavitating projectile prediction launch system using remote sensing technology in the present invention;

[0048] Figure 2 This is a structural module diagram of a supercavitating projectile prediction launch system using remote sensing technology in the present invention;

[0049] Figure 3A schematic diagram of the three-dimensional structure of a supercavitating projectile of a supercavitating projectile prediction and launching system using remote sensing technology according to the present invention;

[0050] Figure 4 is a cross-sectional view of a supercavitating shell of the present invention;

[0051] Figure 5 It is a schematic diagram of the three-dimensional structure of the supercavitating shell of the present invention;

[0052] Figure 6 It is a schematic diagram of the three-dimensional structure of the supercavitating shell core of the present invention;

[0053] Figure 7 It is a schematic diagram of the three-dimensional structure of the supercavitating shell belt of the present invention;

[0054] Figure 8 It is a schematic diagram of the three-dimensional structure of the supercavitating shell bottom plug of the present invention.

[0055] In the figure: 1. Submarine; 2. Supercavitating shell launching system; 3. Remote sensing system; 4. Underwater target; 5. Supercavitating shell; 6. Shell; 7. Shell core; 8. Shell belt; 9. Bottom plug. DETAILED DESCRIPTION

[0056] Please refer to Figures 1 to 8 ,in, Figure 1 This is a schematic diagram of the overall structure of the supercavitating projectile prediction launch system using remote sensing technology in the present invention; Figure 2 This is a structural module diagram of a supercavitating projectile prediction launch system using remote sensing technology in the present invention; Figure 3 A schematic diagram of the three-dimensional structure of a supercavitating projectile of a supercavitating projectile prediction and launching system using remote sensing technology according to the present invention; Figure 4 is a cross-sectional view of a supercavitating shell of the present invention; Figure 5 It is a schematic diagram of the three-dimensional structure of the supercavitating shell of the present invention; Figure 6 It is a schematic diagram of the three-dimensional structure of the supercavitating shell core of the present invention;

[0057] Figure 7 It is a schematic diagram of the three-dimensional structure of the supercavitating shell belt of the present invention; Figure 8 The supercavitating shell prediction launch system using remote sensing technology includes: a submarine 1, a remote sensing system 3 and a supercavitating shell launch system 2, wherein the remote sensing system 3 includes a remote sensor, and the remote sensor adopts a small platform equipped with a synthetic aperture radar, and the supercavitating shell launch system 2 is equipped with a supercavitating shell launch platform and information processing equipment;

[0058] The information processing device collects environmental coordinate information through remote sensing. The supercavitating shell 5 includes a shell core 7, a shell casing 6 and a shell belt 8. The shell belt 8 and the shell core 7 are connected to the shell casing 6 by embedding.

[0059] The total length of the shell is 150 mm, the diameter is 30 mm, the arc length of the shell is 93 mm, the length of the shell column is 57 mm, and the width of the shell belt 8 is 5 mm;

[0060] The information processing equipment and the supercavitating projectile launching system 2 are carried by the submarine 1 .

[0061] The information processing device processes the image information collected and transmitted by the remote sensor at all times and performs algorithm detection on the linear features of the image to form a target coordinate information database. The specific method is as follows:

[0062] (1) Image information collected and transmitted by remote sensors, which can come from satellites, aircraft, drones or other platforms;

[0063] (2) Preprocess the collected remote sensing images, including correction, denoising and enhancement, to improve the accuracy and efficiency of subsequent processing;

[0064] (3) Segment the preprocessed remote sensing image into multiple regions, each of which contains one or more targets;

[0065] (4) Extract features from each segmented area, including color, texture or shape features;

[0066] (5) Using algorithms to detect linear features in each region, such as edges or lines, which may be related to the location or shape of the target;

[0067] (6) Based on the extracted features and linear feature detection results, target recognition is performed for each region. The identified targets may be one or more. For each identified target, its coordinate information is extracted. The coordinate information may be the center point coordinates or bounding box coordinates of the target;

[0068] (7) The extracted target coordinate information is stored in a database. This database can be a simple text file or CSV file, or a complex relational database. As time goes by, new remote sensing images will be collected and transmitted back. These new images will be processed, the target coordinate information will be extracted, and the database will be updated. The target coordinate information database will be used for data analysis and applications, such as target tracking or change monitoring.

[0069] After the remote sensing system 3 finds and confirms the target, it transmits the information to the supercavitating projectile prediction launch system for preparation, calculates the parameters of the launch angle and speed, and then launches the projectile to accurately hit the target.

[0070] The remote sensor is carried separately on a small platform separated from the submarine 1 , and the remote sensor uses synthetic aperture radar imaging mapping technology to perform feature detection and recognition on the underwater target 4 .

[0071] The core 7 is made of 93 tungsten alloy, the shell 6 is made of high-hardness aluminum, the elastic belt 8 is made of copper, and the elastic belt 8 and the core 7 are embedded in the shell 6 to form a connection.

[0072] The supercavitating shell 5 is a flat-head structure, which can break through the water flow to form supercavitation, thereby achieving the purpose of drag reduction. The arc portion of the supercavitating shell 5 can effectively alleviate the resistance of the shell in the air and water, and improve the stability of the shell during navigation.

[0073] The supercavitating projectile 5 rotates at high speed during the water entry process, and can reduce the influence of the overturning torque on the movement of the projectile through the sharp screw stability, thereby ensuring the continuous and stable navigation of the supercavitating projectile 5.

[0074] The remote sensing image segmentation steps are as follows:

[0075] (1) Preprocessing of remote sensing images, including radiation correction, geometric correction, denoising and image enhancement, to improve the accuracy and efficiency of subsequent segmentation;

[0076] (2) Select an appropriate image segmentation algorithm, such as threshold segmentation, region growing, edge detection segmentation, clustering-based segmentation, or deep learning-based segmentation. Different algorithms are suitable for different types of remote sensing images and targets.

[0077] (3) According to the selected segmentation algorithm, set the corresponding parameters, such as threshold, growth criterion, edge detection algorithm or clustering algorithm. These parameters will affect the segmentation effect and need to be adjusted according to the specific remote sensing image and target characteristics;

[0078] (4) Select one or more seed points in the image as the initial region, and gradually expand the region according to the growth criteria until the stop condition is met to form a large region containing one or more targets. Merge and split the generated regions to eliminate small region noise and merge adjacent similar regions. The merging and splitting criteria can be based on the area, shape and texture characteristics of the region;

[0079] (5) Perform target recognition on the segmented area and extract the target of interest. Target recognition can be based on the characteristics of the area, such as color, texture, and shape. For each extracted target, calculate its coordinate information, which can be the center point coordinates and bounding box coordinates of the target;

[0080] (6) Verify the results of segmentation and target extraction, such as comparing them with known target locations. Adjust the segmentation algorithm and parameters based on the verification results to improve the accuracy and robustness of segmentation. Output the segmented area and extracted target coordinate information for subsequent data analysis and application.

[0081] The calculation formula of the emission angle (θ) is as follows:

[0082] θ = arctan (target vertical position launch platform height) /

[0083] (Target's horizontal position - launch platform position)

[0084] Among them: the vertical position of the target and the horizontal position of the target are provided by the remote sensing system respectively, and the height and position of the launch platform are also known parameters.

[0085] The calculation formula of the emission speed (V) is as follows:

[0086] V = √((target position in horizontal direction - launch platform position) 2 + (target vertical position - launch platform height) 2 / launch system).

[0087] The present invention uses SAR technology to image some features of underwater target objects, such as wakes, and uses relevant image processing methods to extract images. The position of the underwater target 4 object is roughly determined based on the image, and then the size, motion characteristics, etc. of the underwater vehicle are deduced based on the intrinsic relationship between that part of the feature of the target object and its structure, speed, etc., thereby realizing the detection, identification, shell tracking and destruction of the underwater target 4 object.

[0088] The present invention applies remote sensing technology and supercavitation drag reduction technology to remotely monitor underwater coordinate data sets to form a coordinate database, and calls relevant coordinate information when attacking and destroying underwater targets 4 to achieve precise attacks on the targets. Supercavitation is generated during the underwater navigation of the projectile to achieve a drag reduction effect, thereby ensuring the lethality of the projectile when hitting the target and the stability during the navigation process.

[0089] The supercavitating shell of the present invention is designed to have a flat-head structure, which can break through the water flow to form a supercavitation, thereby achieving the purpose of drag reduction. The arc portion provided can effectively alleviate the resistance effect on the bullet in the air and water, improve the stability of the shell during navigation, allow the shell to rotate at high speed during entry into the water, and reduce the influence of the overturning torque on the movement of the shell through the sharp screw stability, so as to ensure the continuous and stable navigation of the supercavitating shell. The surface of the supercavitating shell core 7 is arranged in an arc shape, which is beneficial to reducing the resistance in the air and water. The supercavitating shell warhead is in the shape of a flat-head shell, which is beneficial to the stability of the shell entering the water. The bullet forms a stable natural supercavitation during navigation, which is beneficial to reducing the resistance received by the bullet in the water. In addition, the positioning of the underwater target 4 in combination with remote sensing technology can achieve accurate damage to the target.

[0090] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A supercavitating projectile prediction launch system using remote sensing technology, characterized in that: include: A submarine, a remote sensing system and a supercavitating projectile launching system, wherein the remote sensing system comprises a remote sensor, the remote sensor adopts a small platform equipped with a synthetic aperture radar, and the supercavitating projectile launching system is equipped with a supercavitating projectile launching platform and information processing equipment; The information processing device collects environmental coordinate information through remote sensing, and the supercavitating shell includes a core, a shell and a belt, and the belt and the core are connected to the shell by embedding; The total length of the shell is 150 mm, the shell diameter is 30 mm, the shell arc length is 93 mm, the shell column length is 57 mm, and the shell belt width is 5 mm; The information processing equipment and the supercavitating shell launching system are carried by a submarine.

2. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1, characterized in that: The information processing device processes the image information collected and transmitted by the remote sensor at all times and performs algorithm detection on the linear features of the image to form a target coordinate information database. The specific method is as follows: (1) Image information collected and transmitted by remote sensors, which can come from satellites, aircraft, drones or other platforms; (2) Preprocess the collected remote sensing images, including correction, denoising and enhancement, to improve the accuracy and efficiency of subsequent processing; (3) Segment the preprocessed remote sensing image into multiple regions, each of which contains one or more targets; (4) Extract features from each segmented area, including color, texture or shape features; (5) Using algorithms to detect linear features in each region, such as edges or lines, which may be related to the location or shape of the target; (6) Based on the extracted features and linear feature detection results, target recognition is performed for each region. The identified targets may be one or more. For each identified target, its coordinate information is extracted. The coordinate information may be the center point coordinates or bounding box coordinates of the target; (7) The extracted target coordinate information is stored in a database. This database can be a simple text file or CSV file, or a complex relational database. As time goes by, new remote sensing images will be collected and transmitted back. These new images will be processed, the target coordinate information will be extracted, and the database will be updated. The target coordinate information database will be used for data analysis and applications, such as target tracking or change monitoring.

3. The supercavitating projectile prediction launch system using remote sensing technology according to claim 2 is characterized in that: After the remote sensing system discovers and confirms the target, it transmits the information to the supercavitating projectile prediction launch system for preparation, calculates the parameters of the launch angle and speed, and then launches the projectile to accurately hit the target.

4. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1 is characterized in that: The remote sensor is carried separately on a small platform separated from the submarine, and the remote sensor uses synthetic aperture radar imaging mapping technology to perform feature detection and recognition of underwater targets.

5. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1 is characterized in that: The bullet core is made of 93 tungsten alloy, the bullet shell is made of high-hardness aluminum, the bullet belt is made of copper, and the bullet belt and the bullet core are embedded in the bullet shell to form a connection.

6. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1 is characterized in that: The supercavitating shell has a flat-head structure and can break through the water flow to form a supercavitation, thereby achieving the purpose of drag reduction. The arc-shaped portion of the supercavitating shell can effectively alleviate the resistance of the shell in the air and water, thereby improving the stability of the shell during navigation.

7. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1 is characterized in that: The supercavitating projectile rotates at high speed during the water entry process, and can reduce the influence of the overturning torque on the movement of the projectile through the sharp screw stability, thereby ensuring the continuous and stable navigation of the supercavitating projectile.

8. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1 is characterized in that: The remote sensing image segmentation steps are as follows: (1) Preprocessing of remote sensing images, including radiation correction, geometric correction, denoising and image enhancement, to improve the accuracy and efficiency of subsequent segmentation; (2) Select an appropriate image segmentation algorithm, such as threshold segmentation, region growing, edge detection segmentation, clustering-based segmentation, or deep learning-based segmentation. Different algorithms are suitable for different types of remote sensing images and targets. (3) According to the selected segmentation algorithm, set the corresponding parameters, such as threshold, growth criterion, edge detection algorithm or clustering algorithm. These parameters will affect the segmentation effect and need to be adjusted according to the specific remote sensing image and target characteristics; (4) Select one or more seed points in the image as the initial region, and gradually expand the region according to the growth criteria until the stop condition is met to form a large region containing one or more targets. Merge and split the generated regions to eliminate small region noise and merge adjacent similar regions. The merging and splitting criteria can be based on the area, shape and texture characteristics of the region; (5) Perform target recognition on the segmented area and extract the target of interest. Target recognition can be based on the characteristics of the area, such as color, texture, and shape. For each extracted target, calculate its coordinate information, which can be the center point coordinates and bounding box coordinates of the target; (6) Verify the results of segmentation and target extraction, such as comparing them with known target locations. Adjust the segmentation algorithm and parameters based on the verification results to improve the accuracy and robustness of segmentation. Output the segmented area and extracted target coordinate information for subsequent data analysis and application.

9. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1, characterized in that: The calculation formula of the emission angle (θ) is as follows: θ = arctan (target vertical position launch platform height) / (Target's horizontal position - launch platform position) Among them: the vertical position of the target and the horizontal position of the target are provided by the remote sensing system respectively, and the height and position of the launch platform are also known parameters.

10. The supercavitating projectile prediction launch system using remote sensing technology according to claim 1, characterized in that: The calculation formula of the emission speed (V) is as follows: V = √((target position in horizontal direction - launch platform position) 2 + (target vertical position - launch platform height) 2 / launch system).

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