Triangulation network construction method and system based on oblique photography modeling

Abstract

The invention discloses a triangulation network construction method and system based on oblique photography modeling, and relates to the technical field of triangulation network construction.The triangulation network construction method comprises the steps that route flight data are collected, the influence of the overlapping degree on the triangulation network construction precision is evaluated based on the route flight data, ground control point data are collected, and the triangulation network construction precision is evaluated based on the ground control point data. The method comprises the steps of acquiring ground control point data, evaluating the influence of ground control point distribution on triangulation network construction precision based on the ground control point data, acquiring point cloud data, evaluating the influence of point cloud distribution on the triangulation network construction precision based on the point cloud data, acquiring photographic equipment data, and evaluating the influence of photographic equipment on the triangulation network construction precision based on the photographic equipment data. Based on the influence of the overlapping degree, the ground control point distribution, the point cloud distribution and the photographic equipment on the construction precision of the triangulation network, the construction precision of the triangulation network is estimated, whether the triangulation network meets the construction standard or not is judged, the estimation precision is improved, the construction quality of the triangulation network is improved, and the technical problem that the construction precision of the triangulation network does not reach the standard is solved.

Description

Technical Field

[0001] The present invention relates to the field of triangulated network construction, and in particular to a triangulated network construction method and system based on oblique photography modeling. Background Art

[0002] A triangulated network is a geometric model used to represent the earth's surface or other three-dimensional objects. It consists of a series of irregular triangles that together cover the entire area, and each vertex of the triangle contains information about the location of the point. The triangulated network can realize three-dimensional visualization of the terrain.

[0003] At present, the judgment of the accuracy of triangulated network construction by related technologies is mostly based on experience, and lacks a systematic accuracy estimation, which may lead to insufficient or excessive photographic data collection, increase unnecessary costs and time, and thus reduce the accuracy of triangulated network construction accuracy estimation, resulting in low construction quality and efficiency, and the problem of substandard triangulated network construction accuracy.

[0004] Currently, no effective solution has been proposed to the above-mentioned problems. Therefore, the present invention provides a triangulated network construction method and system based on oblique photography modeling. Summary of the invention

[0005] The present invention provides a triangulated network construction method and system based on oblique photography modeling. The present invention estimates the construction accuracy before the triangulated network is constructed by comprehensively judging the influence of route overlap, ground control point distribution, point cloud distribution and photography equipment on the triangulated network construction, thereby improving the accuracy of the estimation, thereby improving the quality of triangulated network construction and solving the technical problem of substandard triangulated network construction accuracy.

[0006] A first aspect of the present invention provides a triangulated network construction method based on oblique photography modeling, comprising: S1. Collect flight data of the route, evaluate heading overlap and lateral overlap based on the flight data of the route, and then evaluate the influence of overlap on the accuracy of triangulation construction based on the heading overlap and lateral overlap; S2, collecting ground control point data, and evaluating the influence of ground control point distribution on the accuracy of triangulation construction based on the ground control point data; S3, collect point cloud data, and evaluate the influence of point cloud distribution on the accuracy of triangulation construction based on the point cloud data; S4, collecting photographic equipment data, and evaluating the influence of photographic equipment on the accuracy of triangulation construction based on the photographic equipment data; S5. Estimate the accuracy of triangulation construction based on the overlap, distribution of ground control points, distribution of point clouds and the influence of photographic equipment on the accuracy of triangulation construction and determine whether the triangulation meets the construction standards.

[0007] Optionally, S1 includes the following specific steps: S11, collecting route flight data, wherein the route flight data includes the heading side length of the image frame, the lateral side length of the image frame, the length of the heading overlapping part, and the length of the lateral overlapping part; S12, evaluating the heading overlap based on the heading side length of the image frame and the length of the heading overlap portion; S13, evaluating the lateral overlap based on the lateral side length of the image frame and the length of the lateral overlap portion; S14. Evaluate the influence of the overlap on the accuracy of triangulation construction based on the heading overlap and the lateral overlap.

[0008] Optionally, S2 includes the following specific steps: S21, collecting ground control point data, wherein the ground control point data includes ground control point coordinates; S22, evaluating coordinate residual values, coverage area and coordinate distribution uniformity based on the coordinates of the ground control points; S23. Evaluate the impact of ground control point distribution on the accuracy of triangulation construction based on coordinate residual values, coverage area and coordinate distribution uniformity.

[0009] Optionally, S3 includes the following specific steps: S31, collecting point cloud data, wherein the point cloud data includes point cloud density and point cloud distribution uniformity; S32. Evaluate the impact of point cloud distribution on the accuracy of triangulation construction based on point cloud density and point cloud distribution uniformity.

[0010] Optionally, S4 includes the following specific steps: S41, collecting photographic equipment data, wherein the photographic equipment data includes vibration data, and the vibration data includes vibration amplitude and vibration frequency; S42. Evaluate the influence of the photographic equipment on the accuracy of triangulation construction based on the vibration amplitude and vibration frequency.

[0011] Optionally, S5 includes the following specific steps: S51, obtaining an estimated value of triangulation network construction accuracy based on the influence value of overlap on triangulation network construction accuracy, the influence value of ground control point distribution on triangulation network construction accuracy, the influence value of point cloud distribution on triangulation network construction accuracy, and the influence value of photographic equipment on triangulation network construction accuracy; S52. Determine whether the triangulated network meets the construction standards based on the triangulated network construction accuracy estimate and the preset triangulated network construction accuracy threshold. If the triangulated network construction accuracy estimate is greater than or equal to the preset triangulated network construction accuracy threshold, then the triangulated network is judged to meet the construction standards; if the triangulated network construction accuracy estimate is less than the preset triangulated network construction accuracy threshold, then the triangulated network is judged to not meet the construction standards and the photography is readjusted.

[0012] A second aspect of the present invention provides a triangulated network construction system based on oblique photography modeling, which is implemented based on the above-mentioned triangulated network construction method based on oblique photography modeling, and includes: a data acquisition module for collecting route flight data, ground control point data, point cloud data and photography equipment data; Overlap impact assessment module, used to assess heading overlap and lateral overlap based on route flight data, and then assess the impact of overlap on triangulation accuracy based on heading overlap and lateral overlap; The ground control point impact assessment module is used to assess the impact of ground control point distribution on the accuracy of triangulation construction based on ground control point data; Point cloud impact assessment module, used to assess the impact of point cloud distribution on the accuracy of triangulation construction based on point cloud data; Photographic equipment impact assessment module, used to assess the impact of photographic equipment on triangulation accuracy based on photographic equipment data; The accuracy estimation module is used to estimate the accuracy of triangulation based on the overlap, distribution of ground control points, distribution of point clouds and the influence of photographic equipment on the accuracy of triangulation; The judgment module is used to judge whether the triangulated network meets the construction standard based on the estimated value of the triangulated network construction accuracy.

[0013] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of a triangulated network construction method based on oblique photography modeling as described in any one of the above items.

[0014] It can be seen from the above technical solutions that the present invention has the following advantages: The present invention collects route flight data, evaluates heading overlap and lateral overlap based on the route flight data, and then evaluates the influence of overlap on the accuracy of triangulation construction based on the heading overlap and lateral overlap, collects ground control point data, and evaluates the influence of ground control point distribution on the accuracy of triangulation construction based on the ground control point data, collects point cloud data, and evaluates the influence of point cloud distribution on the accuracy of triangulation construction based on the point cloud data, collects photographic equipment data, and evaluates the influence of photographic equipment on the accuracy of triangulation construction based on the photographic equipment data, estimates the accuracy of triangulation construction based on overlap, ground control point distribution, point cloud distribution and the influence of photographic equipment on the accuracy of triangulation construction, and judges whether the triangulation meets the construction standard. The present invention comprehensively judges the influence of route overlap, ground control point distribution, point cloud distribution and photographic equipment on triangulation construction, and estimates the construction accuracy before triangulation construction, thereby improving the accuracy of the estimate, thereby improving the quality of triangulation construction, and solving the technical problem that the accuracy of triangulation construction does not meet the standard. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0016] Figure 1 A flow chart of steps of a triangulated network construction method based on oblique photography modeling provided by an embodiment of the present invention; Figure 2 A flow chart of step S1 in a triangulated network construction method based on oblique photography modeling provided by an embodiment of the present invention; Figure 3 A schematic diagram of overlapping headings provided by an embodiment of the present invention; Figure 4 A schematic diagram of side overlap provided by an embodiment of the present invention; Figure 5 A schematic diagram of the overall framework of a triangulated network construction system based on oblique photography modeling provided by an embodiment of the present invention; Figure 6 A structural block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The embodiment of the present invention provides a triangulated network construction method and system based on oblique photography modeling, which estimates the construction accuracy before triangulating the network by comprehensively judging the influence of route overlap, ground control point distribution, point cloud distribution and photographic equipment on triangulated network construction, thereby improving the accuracy of the estimation and thus improving the quality of triangulated network construction, and is used to solve the technical problem of substandard triangulated network construction accuracy.

[0018] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] For ease of understanding, the following terms are explained: Image frame: Image frame is the image size of the film; Heading overlap: Heading overlap refers to the overlap of the same images in adjacent photos. The overlap of two adjacent photos on the same route is called heading overlap. Heading overlap is also called "longitudinal overlap". In aerial photography, the same ground image part appears on adjacent photos along the same route. Lateral overlap: Lateral overlap is also called "horizontal overlap". Lateral overlap refers to the overlap of the same image of adjacent images. Among them, the overlap of two adjacent images between adjacent routes is called lateral overlap. Ground Control Points: Ground control points are points with precisely known locations on the Earth's surface that are used to correct and calibrate spatial data in Geographic Information Systems (GIS), remote sensing, photogrammetry, and other geospatial data acquisition fields; Oblique photography: It is an aerial photography technique that captures images of ground objects from multiple angles (usually angles other than vertically downward). Compared with traditional vertical aerial photography, oblique photography can provide richer and more intuitive three-dimensional information. It is often used in urban planning, disaster assessment, architectural design and other fields.

[0020] See also Figure 1 , Figure 1 A flowchart of the steps of a triangulated network construction method based on oblique photography modeling provided in an embodiment of the present invention.

[0021] The present invention provides a triangulated network construction method based on oblique photography modeling, comprising the following specific steps: S1. Collect flight data of the route, evaluate heading overlap and lateral overlap based on the flight data of the route, and then evaluate the influence of overlap on the accuracy of triangulation construction based on the heading overlap and lateral overlap; See also Figure 2 , Figure 2 A flow chart of step S1 in a triangulated network construction method based on oblique photography modeling provided in an embodiment of the present invention.

[0022] In this embodiment, S1 includes the following specific steps: S11, collecting route flight data, the route flight data including the heading side length of the image frame, the lateral side length of the image frame, the length of the heading overlapping part and the length of the lateral overlapping part; See also Figure 3 , Figure 3 A schematic diagram of overlapping headings provided in an embodiment of the present invention, comprising Figure 3 It can be seen that A and B are two adjacent photos on the same flight strip. The solid circles represent the positions of the principal points of photos A and B, and the shaded part is the overlapping area of ​​the flight directions.

[0023] S12. Evaluate the heading overlap based on the heading side length of the image frame and the length of the heading overlap portion. The heading overlap can be obtained by the following formula: , where is the length of the heading overlap, is the heading side length of the image frame; See also Figure 4 , Figure 4 A schematic diagram of side overlap provided by an embodiment of the present invention, comprising Figure 4 It can be seen that A and B are two photos at corresponding positions on adjacent flight strips. The solid circles represent the positions of the principal points of photos A and B, and the shaded parts are the lateral overlapping areas.

[0024] S13. Evaluate the lateral overlap based on the lateral side length of the image frame and the length of the lateral overlap portion. The lateral overlap can be obtained by the following formula: , where is the length of the lateral overlap, is the lateral length of the image frame; S14. Based on the heading overlap and the lateral overlap, the influence of the overlap on the accuracy of triangulation construction is evaluated. The influence of the overlap on the accuracy of triangulation construction can be obtained by the following formula: , where is the standard value of heading overlap, is the standard value of lateral overlap. In this embodiment, the ratio of the heading overlap to the standard value of the heading overlap is proportional to the ratio of the lateral overlap to the standard value of the lateral overlap.

[0025] As an optional solution, the heading overlap should be between 60% and 80%, and the minimum should not be less than 53%; the lateral overlap should be between 15% and 60%, and the minimum should not be less than 8%. In actual operation, the heading overlap is generally above 65%, and the lateral overlap is generally above 45%. Therefore, the standard value of the heading overlap in this embodiment is 65%, and the standard value of the lateral overlap is 45%.

[0026] As an optional solution, when taking oblique photography of protected buildings, obtain the flight altitude and ground control points, measure the projection length of the image on the ground on site, calculate the heading side length and the lateral side length of the image, identify the same-name points on adjacent images, measure the actual length of the overlapping area, calculate the length of the heading overlapping part, identify the images of adjacent flight routes, measure the length of the overlapping area, and calculate the length of the lateral overlapping part. Through heading overlap, evaluate whether the objects on the ground are fully represented in adjacent images, thereby avoiding information loss and providing more accurate terrain information. Through lateral overlap, images of different routes are spliced ​​together to form a complete ground coverage map, which helps to adapt to terrain undulations and provide more detailed ground information. The integrity of the aerial photography data is evaluated by calculating the heading overlap and lateral overlap.

[0027] S2, collecting ground control point data, and evaluating the influence of ground control point distribution on the accuracy of triangulation construction based on the ground control point data; In this embodiment, S2 includes the following specific steps: S21, collecting ground control point data, where the ground control point data includes ground control point coordinates; As an optional solution, when taking oblique photography of protected buildings, the specific three-dimensional coordinates of the ground control points can be obtained through high-precision measuring equipment.

[0028] S22. Evaluate the coordinate residual value, coverage area and coordinate distribution uniformity based on the coordinates of the ground control points. The coordinate residual value can be obtained by the following formula: , where is the horizontal coordinate of the nth ground control point, is the ordinate of the nth ground control point, is the vertical coordinate of the nth ground control point, is the number of ground control points, is the preset horizontal coordinate of the nth ground control point, is the preset ordinate of the nth ground control point, is the preset vertical coordinate of the nth ground control point. The placement accuracy of the ground control point is evaluated by the coordinate residual value. The coverage area can be obtained by the following formula: , where is the maximum value of the horizontal coordinate of the ground control point, is the minimum value of the horizontal coordinate of the ground control point, is the maximum value of the vertical coordinate of the ground control point, is the minimum value of the vertical coordinate of the ground control point, is the maximum value of the vertical coordinate of the ground control point, is the minimum value of the vertical coordinate of the ground control point, is the standard coverage volume, i.e., the preset measurement range. In this embodiment, the coverage range of the ground control points is approximated as a cuboid. The accuracy of geometric correction and registration of the photographic range is evaluated by the coverage range. The uniformity of coordinate distribution can be obtained by the following formula: , where is the distance between the nth ground control point and its nearest adjacent ground control point, is the average distance of the ground control points, and the suitability of the ground control points is evaluated by the uniformity of coordinate distribution; S23. The influence of the distribution of ground control points on the accuracy of triangulation construction is evaluated based on the coordinate residual value, coverage area and coordinate distribution uniformity. The influence of the ground control points on the accuracy of triangulation construction can be obtained by the following formula: In this embodiment, the coverage area is inversely proportional to the product of the coordinate residual value and the coordinate distribution uniformity.

[0029] S3, collect point cloud data, and evaluate the influence of point cloud distribution on the accuracy of triangulation construction based on the point cloud data; In this embodiment, S3 includes the following specific steps: S31. Collect point cloud data. Point cloud data includes point cloud density and point cloud distribution uniformity. Point cloud density can be obtained by the following formula: , where For points, is the volume occupied by the point cloud. The uniformity of the point cloud distribution can be obtained by the following formula: , where is the number of points in the mth region, is the number of regions, is the average number of points in the region; As an optional solution, when taking oblique photography of protected buildings, the photography range can be evenly divided into several areas and the points in each area can be collected.

[0030] S32. The influence of point cloud distribution on the accuracy of triangulation construction is evaluated based on point cloud density and point cloud distribution uniformity. The influence of point cloud distribution on the accuracy of triangulation construction can be obtained by the following formula: ,The high density of the point cloud makes the constructed triangulated network accurately ,represent the original surface, and the uniform distribution of the point cloud ,makes the triangulated network more regular and uniform.

[0031] S4, collecting photographic equipment data, and evaluating the influence of photographic equipment on the accuracy of triangulation construction based on the photographic equipment data; In this embodiment, S4 includes the following specific steps: S41, collecting photographic equipment data, where the photographic equipment data includes vibration data, and the vibration data includes vibration amplitude and vibration frequency; S42. The influence of the photographic equipment on the accuracy of triangulation construction is evaluated based on the vibration amplitude and vibration frequency. The influence of the photographic equipment on the accuracy of triangulation construction can be obtained by the following formula: , where is the data collection time of the photographic equipment, is the vibration frequency at time t, is the vibration amplitude at time t, is the standard vibration frequency, is the standard vibration amplitude, is the time integral. In this embodiment, the ratio of the vibration frequency to the standard vibration frequency is proportional to the ratio of the vibration amplitude to the standard vibration amplitude.

[0032] As an optional solution, before taking oblique photography of a protected building, first use a qualified photographic device to test it. During the test, collect vibration data of the photographic device, collect average values ​​of the acquired vibration data, and use the average value of the vibration frequency as the standard vibration frequency of this embodiment, and use the average value of the vibration amplitude as the standard vibration amplitude of this embodiment.

[0033] S5. Estimate the accuracy of triangulation construction based on the overlap, distribution of ground control points, distribution of point clouds and the influence of photographic equipment on the accuracy of triangulation construction and determine whether the triangulation meets the construction standards.

[0034] In this embodiment, S5 includes the following specific steps: S51. Based on the influence of overlap on triangulation accuracy, the influence of ground control point distribution on triangulation accuracy, the influence of point cloud distribution on triangulation accuracy, and the influence of photographic equipment on triangulation accuracy, an estimated value of triangulation accuracy is obtained. The estimated value of triangulation accuracy can be obtained by the following formula: , where For the preset triangulation accuracy, The overlap affects the weight. The influence weights of the ground control point distribution are: is the point cloud distribution influence weight, The weight of the photographic equipment is affected. ; As an optional solution, before taking oblique photography of the protected buildings, relevant data of the historical protected buildings are collected, including overlap data, ground control point data, point cloud data, photographic equipment data and final triangulated network construction data, so that experts in photographic modeling can analyze the impact of different data on the final triangulated network construction based on the historical relevant data and give appropriate weights as the overlap influence weight, ground control point distribution influence weight, point cloud distribution influence weight and photographic equipment influence weight of this embodiment.

[0035] S52. Determine whether the triangulated network meets the construction standards based on the triangulated network construction accuracy estimate and the preset triangulated network construction accuracy threshold. If the triangulated network construction accuracy estimate is greater than or equal to the preset triangulated network construction accuracy threshold, then the triangulated network is judged to meet the construction standards; if the triangulated network construction accuracy estimate is less than the preset triangulated network construction accuracy threshold, then the triangulated network is judged to not meet the construction standards and the photography is readjusted.

[0036] See also Figure 5 , Figure 5 A schematic diagram of the overall framework of a triangulated network construction system based on oblique photography modeling provided in an embodiment of the present invention.

[0037] The triangulation network construction system based on oblique photography modeling provided by the present invention is implemented based on the above-mentioned triangulation network construction method based on oblique photography modeling, and includes: a data acquisition module for collecting route flight data, ground control point data, point cloud data and photography equipment data; Overlap impact assessment module, used to assess heading overlap and lateral overlap based on route flight data, and then assess the impact of overlap on triangulation accuracy based on heading overlap and lateral overlap; The ground control point impact assessment module is used to assess the impact of ground control point distribution on the accuracy of triangulation construction based on ground control point data; Point cloud impact assessment module, used to assess the impact of point cloud distribution on the accuracy of triangulation construction based on point cloud data; Photographic equipment impact assessment module, used to assess the impact of photographic equipment on triangulation accuracy based on photographic equipment data; The accuracy estimation module is used to estimate the accuracy of triangulation based on the overlap, distribution of ground control points, distribution of point clouds and the influence of photographic equipment on the accuracy of triangulation; The judgment module is used to judge whether the triangulated network meets the construction standard based on the estimated value of the triangulated network construction accuracy.

[0038] See also Figure 6 , Figure 6 A structural block diagram of a computer device provided in an embodiment of the present invention.

[0039] An electronic device according to an embodiment of the present invention comprises: a memory and a processor, wherein a computer program is stored in the memory; when the computer program is executed by the processor, the processor executes a triangulation network construction method based on oblique photography modeling as in any of the above embodiments, specifically comprising: collecting route flight data, evaluating heading overlap and lateral overlap based on the route flight data, and then evaluating the influence of overlap on the triangulation network construction accuracy based on the heading overlap and lateral overlap; collecting ground control point data, evaluating the influence of ground control point distribution on the triangulation network construction accuracy based on the ground control point data; collecting point cloud data, evaluating the influence of point cloud distribution on the triangulation network construction accuracy based on the point cloud data; collecting photographic equipment data, evaluating the influence of photographic equipment on the triangulation network construction accuracy based on the photographic equipment data; estimating the triangulation network construction accuracy based on the overlap, ground control point distribution, point cloud distribution and the influence of photographic equipment on the triangulation network construction accuracy and judging whether the triangulation network meets the construction standard.

[0040] The memory may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk or a ROM, and the memory has a storage space for program codes for executing any method step of the above method. For example, the storage space for program codes may include various program codes for implementing various steps in the above method, respectively, and these program codes may be read from or written to one or more computer program products, and these computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card or a floppy disk, and the program codes may be compressed, for example, in an appropriate form, and these codes, when run by a computing and processing device, cause the computing and processing device to execute the various steps in the above-described method for constructing a triangulated network based on oblique photography modeling. These program codes may be read from or written to one or more computer program products, and these computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card or a floppy disk, and the program codes may be compressed, for example, in an appropriate form, and these codes, when run by a computing and processing device, cause the computing and processing device to execute the various steps in the above-described method for constructing a triangulated network based on oblique photography modeling.

[0041] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0042] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that 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, which can be electrical, mechanical or other forms.

[0043] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0044] 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.

[0045] 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, in essence, 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. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of 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, etc. Various media that can store program codes.

[0046] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A triangulated network construction method based on oblique photography modeling, characterized in that: The specific steps include: S1. Collect flight data of the route, evaluate heading overlap and lateral overlap based on the flight data of the route, and then evaluate the influence of overlap on the accuracy of triangulation construction based on the heading overlap and lateral overlap; S2, collecting ground control point data, and evaluating the influence of ground control point distribution on the accuracy of triangulation construction based on the ground control point data; S3, collect point cloud data, and evaluate the influence of point cloud distribution on the accuracy of triangulation construction based on the point cloud data; S4, collecting photographic equipment data, and evaluating the influence of photographic equipment on the accuracy of triangulation construction based on the photographic equipment data; S5. Estimate the accuracy of triangulation construction based on the overlap, distribution of ground control points, distribution of point clouds and the influence of photographic equipment on the accuracy of triangulation construction and determine whether the triangulation meets the construction standards.

2. A triangulated network construction method based on oblique photography modeling as claimed in claim 1, characterized in that: The S1 comprises the following specific steps: S11, collecting route flight data, wherein the route flight data includes the heading side length of the image frame, the lateral side length of the image frame, the length of the heading overlapping part, and the length of the lateral overlapping part; S12, evaluating the heading overlap based on the heading side length of the image frame and the length of the heading overlap portion; S13, evaluating the lateral overlap based on the lateral side length of the image frame and the length of the lateral overlap portion; S14. Evaluate the influence of the overlap on the accuracy of triangulation construction based on the heading overlap and the lateral overlap.

3. A triangulated network construction method based on oblique photography modeling as claimed in claim 2, characterized in that: The S2 comprises the following specific steps: S21, collecting ground control point data, wherein the ground control point data includes ground control point coordinates; S22, evaluating coordinate residual values, coverage area and coordinate distribution uniformity based on the coordinates of the ground control points; S23. Evaluate the impact of ground control point distribution on the accuracy of triangulation construction based on coordinate residual values, coverage area and coordinate distribution uniformity.

4. A triangulated network construction method based on oblique photography modeling as claimed in claim 3, characterized in that: The S3 includes the following specific steps: S31, collecting point cloud data, wherein the point cloud data includes point cloud density and point cloud distribution uniformity; S32. Evaluate the impact of point cloud distribution on the accuracy of triangulation construction based on point cloud density and point cloud distribution uniformity.

5. A triangulated network construction method based on oblique photography modeling as claimed in claim 4, characterized in that: The S4 comprises the following specific steps: S41, collecting photographic equipment data, wherein the photographic equipment data includes vibration data, and the vibration data includes vibration amplitude and vibration frequency; S42. Evaluate the influence of the photographic equipment on the accuracy of triangulation construction based on the vibration amplitude and vibration frequency.

6. A triangulated network construction method based on oblique photography modeling as claimed in claim 5, characterized in that: The S5 comprises the following specific steps: S51, obtaining an estimated value of triangulation network construction accuracy based on the influence value of overlap on triangulation network construction accuracy, the influence value of ground control point distribution on triangulation network construction accuracy, the influence value of point cloud distribution on triangulation network construction accuracy, and the influence value of photographic equipment on triangulation network construction accuracy; S52. Determine whether the triangulated network meets the construction standards based on the triangulated network construction accuracy estimate and the preset triangulated network construction accuracy threshold. If the triangulated network construction accuracy estimate is greater than or equal to the preset triangulated network construction accuracy threshold, then the triangulated network is judged to meet the construction standards; if the triangulated network construction accuracy estimate is less than the preset triangulated network construction accuracy threshold, then the triangulated network is judged to not meet the construction standards and the photography is readjusted.

7. A triangulated network construction system based on oblique photography modeling, used to implement the triangulated network construction method based on oblique photography modeling as claimed in any one of claims 1 to 6, characterized in that: include: Data acquisition module, used to collect route flight data, ground control point data, point cloud data and photography equipment data; Overlap impact assessment module, used to assess heading overlap and lateral overlap based on route flight data, and then assess the impact of overlap on triangulation accuracy based on heading overlap and lateral overlap; The ground control point impact assessment module is used to assess the impact of ground control point distribution on the accuracy of triangulation construction based on ground control point data; Point cloud impact assessment module, used to assess the impact of point cloud distribution on the accuracy of triangulation construction based on point cloud data; Photographic equipment impact assessment module, used to assess the impact of photographic equipment on triangulation accuracy based on photographic equipment data; The accuracy estimation module is used to estimate the accuracy of triangulation based on the overlap, distribution of ground control points, distribution of point clouds and the influence of photographic equipment on the accuracy of triangulation; The judgment module is used to judge whether the triangulated network meets the construction standard based on the estimated value of the triangulated network construction accuracy.

8. An electronic device, characterized in that: It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of a triangulated network construction method based on oblique photography modeling as described in any one of claims 1 to 6.

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