CN116091747B - Verification method and system for mapping result - Google Patents
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Abstract
The invention is applicable to the technical field of mapping, and particularly relates to a method and a system for verifying mapping achievements, wherein the method comprises the following steps: image acquisition is carried out on the mapping result to obtain a mapping result image; calculating a center mark point based on the mapping result image, and acquiring a real-time image of the region to be measured according to the position of the center mark point to obtain a mapping recheck image; identifying marking points, and performing picture matching on the mapping result image to a mapping check image; and carrying out survey and drawing proportion verification, and judging whether a survey and drawing result meets the precision requirement. According to the invention, the mapping result is subjected to image conversion, the unmanned aerial vehicle is used for image acquisition, image matching is carried out according to the mark points in the two groups of images, the images are further divided according to the mark points, pixel statistics is carried out on a plurality of divided areas, whether the mapping result meets the precision requirement is judged, and the problem of inaccurate mapping result caused by manual errors in the mapping and mapping process is avoided.
Description
Technical Field
The invention relates to the technical field of mapping, in particular to a method and a system for verifying mapping results.
Background
The mapping literal is understood as measurement and drawing, which is based on computer technology, photoelectric technology, network communication technology, space science and information science, and uses Global Navigation Satellite System (GNSS), remote Sensing (RS) and Geographic Information System (GIS) as technical cores, and selects the existing characteristic points and boundary lines of the ground and obtains the graph and position reflecting the current situation of the ground and the related information thereof by measuring means for engineering construction, planning design and administrative management.
In the building construction process, mapping is often needed, but in the manual mapping process, the measuring effect depends on the testing technology of staff, so that the measuring accuracy cannot be ensured.
Disclosure of Invention
The invention aims to overcome the defects of the traditional technology, provides a verification method of mapping results, and aims to solve the problem that in the manual mapping process, the measurement effect depends on the testing technology of staff, so that the measurement accuracy cannot be ensured.
The aim of the invention is achieved by the following technical measures:
a method of validating a mapping outcome, the method comprising:
image acquisition is carried out on the mapping result to obtain a mapping result image, wherein the mapping result image comprises mapping mark points;
calculating a center mark point based on the mapping result image, and acquiring a real-time image of the region to be measured according to the position of the center mark point to obtain a mapping recheck image;
carrying out mark point identification on the mapping checking image according to the mapping result image, and carrying out picture matching on the mapping result image and the mapping checking image;
and carrying out survey proportion verification according to the matched survey result image and the survey recheck image, and judging whether the survey result meets the precision requirement.
Preferably, the calculating the center mark point based on the mapping result image performs real-time image acquisition on the area to be measured according to the position of the center mark point to obtain a mapping review image, which specifically includes:
identifying the position of each mapping marking point in the mapping result image, and sequentially connecting each mapping marking point by using line segments to obtain an enclosing region;
determining the central points of the areas formed by enclosing all the mapping mark points to obtain central mark points;
and finding out the corresponding position of the region to be measured according to the central mark point, and acquiring an image by using the unmanned aerial vehicle to obtain a mapping recheck image.
Preferably, the step of identifying the marking point of the mapping verification image according to the mapping result image and performing picture matching on the mapping result image and the mapping verification image specifically includes:
rotating the mapping review image so that the mapping review image and the mapping result image are in the same orientation;
identifying the positions of the marking points in the mapping review image according to the positions of the mapping marking points in the mapping review image;
three marking points are randomly selected from corresponding positions of the mapping checking image and the mapping result image, and the three marking points in the mapping checking image and the mapping result image are overlapped through zooming the image, wherein the three marking points are not on the same straight line.
Preferably, the step of verifying the mapping proportion according to the matched mapping result image and the mapping recheck image to determine whether the mapping result meets the precision requirement specifically includes:
converting the mapping result image and the mapping review image into images with the same resolution;
randomly selecting a plurality of mark points from the mapping result image and the mapping rechecking image, and connecting each mark point with all other selected mark points to form a plurality of area blocks;
and counting the pixel number of each region block, comparing the region blocks in the mapping result image and the mapping checking image one by one, and judging whether the precision requirement is met according to the comparison result.
Preferably, in the step of randomly selecting a plurality of marker points from the mapping result image and the mapping review image, at least three marker points are selected.
Preferably, the number of the mapping mark points is more than three.
It is another object of an embodiment of the present invention to provide a system for verifying a mapping outcome, the system comprising:
the result conversion module is used for carrying out image acquisition on the mapping result to obtain a mapping result image, wherein the mapping result image comprises mapping mark points;
the real-time image acquisition module is used for calculating a center mark point based on the mapping result image, and acquiring a real-time image of the region to be measured according to the position of the center mark point to obtain a mapping recheck image;
the image matching module is used for identifying marking points of the mapping checking image according to the mapping result image and carrying out picture matching on the mapping result image and the mapping checking image;
and the precision detection module is used for carrying out survey and drawing proportion verification according to the matched survey and drawing result image and the survey and drawing rechecking image, and judging whether the survey and drawing result meets the precision requirement.
Preferably, the real-time image acquisition module includes:
the marking point identification unit is used for identifying the position of each mapping marking point in the mapping result image, and connecting the mapping marking points in sequence by using line segments to obtain an enclosing area;
the central mark point identification unit is used for determining the central points of the areas formed by enclosing all the mapping mark points to obtain central mark points;
and the image acquisition unit is used for finding the corresponding position of the region to be measured according to the central mark point, and acquiring an image through the unmanned aerial vehicle to obtain a mapping recheck image.
Preferably, the image matching module includes:
the image rotation unit is used for rotating the mapping checking image so that the mapping checking image and the mapping result image are in the same direction;
the mark identifying unit is used for identifying the positions of the mark points in the mapping checking image according to the positions of the mapping mark points in the mapping checking image;
and the image adjustment unit is used for randomly selecting three marking points from the corresponding positions of the mapping checking image and the mapping result image, and enabling the three marking points in the mapping checking image and the mapping result image to coincide by zooming the image, wherein the three marking points are not on the same straight line.
Preferably, the precision detection module includes:
the resolution adjusting unit is used for converting the mapping result image and the mapping review image into images with the same resolution;
the regional division unit is used for randomly selecting a plurality of marking points from the mapping result image and the mapping rechecking image, and connecting each marking point with all other selected marking points to form a plurality of regional blocks;
and the statistics judging unit is used for counting the pixel number of each region block, comparing the region blocks in the mapping result image and the mapping checking image one by one, and judging whether the precision requirement is met according to the comparison result.
Due to the adoption of the technical scheme, compared with the prior art, the invention discloses a verification method of a mapping result, which is characterized in that the mapping result is subjected to image conversion, an unmanned aerial vehicle is used for image acquisition, image matching is carried out according to the mark points in two groups of images, the images are further divided according to the mark points, pixel statistics is carried out on a plurality of divided areas, whether the mapping result meets the precision requirement is judged, and the problem of inaccurate mapping result caused by manual errors in the mapping process is avoided.
Drawings
Fig. 1 is a flowchart of a method for verifying a mapping result according to an embodiment of the present invention.
Fig. 2 is a flowchart of a step of calculating a center mark point based on a mapping result image, and acquiring a real-time image of a region to be measured according to a position of the center mark point to obtain a mapping review image according to an embodiment of the present invention.
Fig. 3 is a flowchart of the steps for identifying a marker point of a mapping review image according to a mapping result image and performing frame matching on the mapping result image and the mapping review image according to an embodiment of the present invention.
Fig. 4 is a flowchart of a step of performing a mapping proportion check according to a matched mapping result image and a mapping review image, and determining whether a mapping result meets a precision requirement according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a verification system for mapping results according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of a real-time image acquisition module according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of an image matching module according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of an accuracy detection module according to an embodiment of the present invention.
Detailed Description
Examples: as shown in fig. 1, a flowchart of a method for verifying a mapping result according to an embodiment of the present invention is provided, where the method includes:
and S100, carrying out image acquisition on the surveying and mapping result to obtain a surveying and mapping result image, wherein the surveying and mapping result image comprises surveying and mapping mark points.
In this step, image acquisition is carried out to the surveying result, after the surveying is accomplished, the surveying result is shown in a plan view mode, and then the surveying result is converted into a surveying result image, specifically, the surveying result image can be directly generated according to the surveying result, the plan view can also be subjected to image shooting to obtain the surveying result image, in the measuring process, the marking point is set in the region to be measured, and the surveying result image is marked, namely, the surveying result image comprises a plurality of surveying marking points.
And S200, calculating a center mark point based on the mapping result image, and acquiring the real-time image of the region to be measured according to the position of the center mark point to obtain a mapping recheck image.
In the step, a central marking point is calculated based on a mapping result image, in order to ensure that the acquired image and the mapping result image are mutually matched, the central position of the mapping result image is firstly determined when the acquired image and marked by the central marking point, then when the image is acquired, the unmanned aerial vehicle flies to the upper part of the area to be measured, the unmanned aerial vehicle is positioned right above the position corresponding to the central marking point, and the unmanned aerial vehicle is subjected to nodding from the right upper part, so that a mapping recheck image is obtained, and when the central marking point is determined, the position of each mapping marking point is firstly determined, and then the position of the central marking point is determined.
And S300, carrying out mark point identification on the mapping checking image according to the mapping result image, and carrying out picture matching on the mapping result image and the mapping checking image.
In this step, the marking point identification is performed on the mapping review image according to the mapping result image, in the mapping process, if the position marking is performed in the area to be measured, such as the marking is performed in the area to be measured by numbers, the marking point of the mapping 1 # and the marking point of the mapping 2 # are also performed by setting a post with a specific color, in order to perform matching, the mapping result image and the acquired mapping review image are adjusted in a rotating manner, so that both are right north up, at the moment, the directions of both are the same, in order to perform comparison, the both are scaled and the resolution is adjusted, so that the both coincide as much as possible, and the picture matching of the image is completed.
And S400, carrying out survey proportion verification according to the matched survey result image and the survey recheck image, and judging whether the survey result meets the precision requirement.
In the step, mapping proportion verification is carried out according to the matched mapping result image and the mapping recheck image, when the mapping proportion verification is carried out, the deviation of lines or the deviation of distances is easy to occur, when the mapping proportion verification is carried out, the positions of all marking points in the mapping result image and the mapping recheck image are determined, the marking points are in one-to-one correspondence, then all marking points in the same image are connected in a line mode, the region to be measured in the whole image is divided into a plurality of independent regions, the independent regions in the mapping result image and the mapping recheck image can be mutually matched, if the measurement precision reaches the requirement, the area difference value between the mutually matched independent regions is within a preset range, if the area difference value exceeds the preset range, the description precision is insufficient, and the mapping does not meet the precision requirement of the mapping.
As shown in fig. 2, as provided by the embodiment of the present invention, the step of calculating a center mark point based on a mapping result image, and performing real-time image acquisition on a region to be measured according to the position of the center mark point to obtain a mapping review image specifically includes:
s201, identifying the positions of all the mapping marking points in the mapping result image, and sequentially connecting all the mapping marking points by using line segments to obtain an enclosing region.
In this step, the positions of the mapping marking points in the mapping result image are identified, in order to facilitate identification, marking points are set in the region to be measured, the marking points can be marked by markers, for example, the center of a yellow circle is a red dot, the positions of the red dot are identified and determined, the positions of one measurement marking point can be obtained, the mapping marking points are sequentially connected by line segments, and when the mapping marking points are connected, the enclosing region is obtained in the connection determination mode in which the connection mode with the largest enclosing area is the most final.
S202, determining the central point of the area formed by enclosing all the mapping mark points to obtain the central mark point.
In this step, the center point of the area formed by enclosing all the mapping mark points is determined, specifically, a two-dimensional coordinate system may be constructed in the enclosed area, the coordinates of each mapping mark point are determined according to the positions of the pixel distribution, and the average value of the coordinates is calculated to obtain the coordinates of the center mark point, and if the coordinates of the mapping mark point are (Pn, qn), the coordinates of the center mark point are ((p1+ … … +pn)/n, q1+ … … +qn)/n).
And S203, finding out the corresponding position of the region to be measured according to the central mark point, and acquiring an image by using an unmanned aerial vehicle to obtain a mapping recheck image.
In the step, the corresponding position of the region to be measured is found according to the central marking point, the position of the corresponding central marking point in the region to be measured is marked, the unmanned aerial vehicle is placed at the marking position, then gradually lifted, and after the unmanned aerial vehicle rises to a preset height, the unmanned aerial vehicle is downward noded through image acquisition equipment arranged on the unmanned aerial vehicle, so that a mapping recheck image is obtained.
As shown in fig. 3, as provided by the embodiment of the present invention, the step of identifying the marking point of the mapping verification image according to the mapping result image, and performing picture matching on the mapping result image and the mapping verification image specifically includes:
s301, rotating the mapping review image so that the mapping review image and the mapping result image are in the same direction.
In the step, the mapping review image is rotated to be successfully matched, and the direction of the north of the mark in the mapping review image and the mapping result image is already marked during measurement, so that the mapping review image and the mapping result image are in the same orientation by carrying out picture rotation according to the marked direction.
S302, identifying the positions of the marking points in the mapping checking image according to the positions of the mapping marking points in the mapping checking image.
S303, randomly selecting three marking points from corresponding positions of the mapping checking image and the mapping result image, and enabling the three marking points in the mapping checking image and the mapping result image to coincide by zooming the image, wherein the three marking points are not on the same straight line.
In this step, the positions of the marking points in the mapping review image are identified according to the positions of the mapping marking points in the mapping review image, the matching relationship between the marking points in the mapping review image and the marking points in the mapping result image is determined, for example, the marking points in the mapping review image are An, the marking points in the corresponding mapping result image are Bn, the marking points in the three mapping review images are randomly selected, for example, A1, A2 and A3, then the corresponding marking points are determined to be B1, B2 and B3, when the marking points are selected, the fact that the marking points A1, A2 and A3 are not on the same straight line is required to be ensured, and the scaling image is used for enabling the three marking points in the mapping review image and the mapping result image to coincide through scaling and rotation.
As shown in fig. 4, as provided by the embodiment of the present invention, the step of performing a mapping proportion verification according to the matched mapping result image and the mapping verification image, and determining whether the mapping result meets the precision requirement specifically includes:
s401, converting the mapping result image and the mapping review image into images with the same resolution.
S402, randomly selecting a plurality of marking points from the mapping result image and the mapping rechecking image, and connecting each marking point with all other selected marking points to form a plurality of area blocks.
In this step, the mapping result image and the mapping review image are converted into images with the same resolution, and because the mapping result image and the mapping review image are only matched in image size when scaling and adjusting are performed, for convenience of analysis, the mapping result image and the mapping review image are converted into images with the same resolution, the image with high resolution in the mapping result image and the mapping review image is degraded into images with the same resolution as the image with low resolution, then a plurality of marking points are randomly selected from the mapping result image and the mapping review image, each marking point is selected, the marking point is connected with all other selected marking points, and then the marking points are switched until all the marking points are selected once, at this time, the plurality of line segments divide the mapping result image and the mapping result review image into a plurality of area blocks, and the area blocks in the mapping result image and the mapping review image are respectively represented by Mn and Rn, and have a matching relationship between the two.
S403, counting the pixel number of each region block, comparing the region blocks in the mapping result image and the mapping review image one by one, and judging whether the precision requirement is met according to the comparison result.
In the step, the pixel number of each area block is counted, namely, the pixel number in Mn and Rn is counted, the area change rate |Rn-Mn|/Mn is calculated, a threshold value T0 is set, if |Rn-Mn|/Mn > T0 exists, the current collected mapping result is judged to not meet the precision requirement, and otherwise, the precision requirement is met.
As shown in fig. 5, a system for verifying a mapping result according to an embodiment of the present invention includes:
the result conversion module 100 is configured to perform image acquisition on a mapping result to obtain a mapping result image, where the mapping result image includes mapping mark points.
In the system, the result conversion module 100 performs image acquisition on a mapping result, after mapping is completed, the mapping result is displayed in a plan view mode, and is converted into a mapping result image, specifically, the mapping result image can be directly generated according to the mapping result, or the plan view can be subjected to image shooting to obtain the mapping result image, in the measurement process, a mark point is set in a region to be measured, and the mapping result image is marked, namely, the mapping result image contains a plurality of mapping mark points.
The real-time image acquisition module 200 is configured to calculate a center mark point based on the mapping result image, and acquire a real-time image of the region to be measured according to the position of the center mark point, so as to obtain a mapping review image.
In the system, the real-time image acquisition module 200 calculates a center marking point based on a mapping result image, in order to ensure that the acquired image and the mapping result image are mutually matched, the center position of the mapping result image is firstly determined when the acquired image and the mapping result image are marked by the center marking point, then when the image is acquired, the unmanned aerial vehicle flies above a region to be measured, the unmanned aerial vehicle is positioned right above the position corresponding to the center marking point, and the nodding is performed from right above, so that a mapping check image is obtained, and when the center marking point is determined, the position of each mapping marking point is firstly determined, and then the position of the center marking point is determined.
The image matching module 300 is configured to identify a marker point for the mapping verification image according to the mapping result image, and perform frame matching on the mapping result image and the mapping verification image.
In the system, the image matching module 300 performs mark point identification on the mapping review image according to the mapping result image, in the mapping process, position marks are performed in the region to be measured, such as marking the region to be measured with numbers, mapping mark points 1 and 2, and the like, and the marking can be performed by setting a column with a specific color, so that the mapping result image and the acquired mapping review image are adjusted in a rotating manner for matching, so that the mapping result image and the acquired mapping review image are both right north upwards, the directions of the mapping result image and the acquired mapping review image are the same at the moment, and for comparison, the mapping result image and the mapping review image are scaled and the resolution is adjusted, so that the mapping result image and the acquired mapping review image are overlapped as much as possible, and thus the picture matching of the image is completed.
The precision detection module 400 is configured to perform a mapping proportion verification according to the matched mapping result image and the mapping review image, and determine whether the mapping result meets the precision requirement.
In the system, the precision detection module 400 performs mapping proportion verification according to the matched mapping result image and the mapping verification image, when the mapping proportion verification is performed, deviation of lines or deviation of distances is easy to occur, when the mapping proportion verification is performed, positions of all marking points in the mapping result image and the mapping verification image are determined, the marking points are in one-to-one correspondence, then all marking points in the same image are connected in a line segment mode, so that a region to be measured in the whole image is divided into a plurality of independent regions, the independent regions in the mapping result image and the mapping verification image can be mutually matched, if the measurement precision reaches the requirement, the area difference value between the mutually matched independent regions is within a preset range, if the area difference value exceeds the preset range, the precision is insufficient, and the mapping does not meet the precision requirement of mapping.
As shown in fig. 6, as a preferred embodiment of the present invention, the real-time image acquisition module 200 includes:
the marking point identifying unit 201 is configured to identify a position of each mapping marking point in the mapping result image, and sequentially connect each mapping marking point with a line segment, so as to obtain an enclosing region.
In this module, the marking point identifying unit 201 identifies the positions of the mapping marking points in the mapping result image, in order to facilitate identification, sets the marking points in the area to be measured, marks the marking points by using a marker, for example, the center of a yellow circle is a red dot, and determines the positions of the red dot by identification, so that the positions of one measurement marking point can be obtained, each mapping marking point is sequentially connected by a line segment, and when the connection is performed, the enclosing area is obtained in the connection determination mode which is the most final in the connection mode with the largest enclosing area.
The center mark point identifying unit 202 is configured to determine a center point of an area formed by enclosing all mapping mark points, and obtain a center mark point.
In this module, the central marker point identifying unit 202 determines the central point of the area formed by enclosing all the mapping marker points, specifically, a two-dimensional coordinate system may be constructed in the enclosed area, the coordinates of each mapping marker point are determined according to the positions of the pixel distribution, and the average value of the coordinates is calculated to obtain the coordinates of the central marker point, for example, the coordinates of the mapping marker points are (Pn, qn), and then the coordinates of the central marker point are ((p1+ … … +pn)/n, q1+ … … +qn)/n).
The image acquisition unit 203 is configured to find a corresponding position of the area to be measured according to the center mark point, and acquire an image through the unmanned aerial vehicle, thereby obtaining a mapping review image.
In this module, the image acquisition unit 203 finds the corresponding position of the region to be measured according to the center mark point, marks the position of the corresponding center mark point in the region to be measured, places the unmanned aerial vehicle at the mark position, then gradually lifts, and after rising to a preset height, downward dives through the image acquisition device arranged on the unmanned aerial vehicle, so as to obtain a mapping review image.
As shown in fig. 7, as a preferred embodiment of the present invention, the image matching module 300 includes:
the image rotation unit 301 is configured to rotate the mapping review image such that the mapping review image and the mapping result image are in the same orientation.
In this module, the image rotation unit 301 rotates the mapping review image to be able to be successfully matched, and the direction of the north of the mark in the mapping review image and the mapping result image is already marked during measurement, so that the mapping review image and the mapping result image can be in the same orientation by performing picture rotation according to the marked direction.
A marker identification unit 302 for identifying the positions of the marker points in the survey review image from the positions of the survey marker points in the survey review image.
An image adjustment unit 303, configured to randomly select three marking points from corresponding positions of the mapping review image and the mapping result image, and zoom the image so that the three marking points in the mapping review image and the mapping result image coincide, where the three marking points are not on the same straight line.
In the module, the positions of the marking points in the surveying and mapping checking image are identified according to the positions of the surveying and mapping marking points in the surveying and mapping checking image, the matching relation between the surveying and mapping checking image and the marking points in the surveying and mapping result image is determined, for example, the marking points in the surveying and mapping checking image are An, the marking points in the corresponding surveying and mapping result image are Bn, the marking points in the three surveying and mapping checking images are randomly selected, for example, A1, A2 and A3, then the corresponding marking points are determined to be B1, B2 and B3, when the marking points are selected, the fact that A1, A2 and A3 are not on the same straight line is required to be ensured, and the three marking points in the surveying and mapping checking image and the mapping result image are overlapped through zooming and rotating.
As shown in fig. 8, as a preferred embodiment of the present invention, the accuracy detecting module 400 includes:
a resolution adjustment unit 401 for converting the mapping result image and the mapping review image into images of the same resolution.
And the region dividing unit 402 is configured to randomly select a plurality of marker points from the mapping result image and the mapping review image, and connect each marker point with all other selected marker points to form a plurality of region blocks.
In the module, a mapping result image and a mapping rechecking image are converted into images with the same resolution, and because the mapping result image and the mapping rechecking image are only matched in image size when scaling and adjusting are carried out, the mapping result image and the mapping rechecking image are converted into images with the same resolution for facilitating analysis, the images with high resolution in the mapping result image and the mapping rechecking image are degraded into images with the same resolution as those with low resolution, then a plurality of marking points are randomly selected from the mapping result image and the mapping rechecking image, each marking point is selected, the marking point is connected with all other selected marking points, and then the marking points are switched until all marking points are selected once, at the moment, the plurality of line segments divide the mapping result image and the mapping rechecking image into a plurality of area blocks, and the area blocks in the mapping result image and the mapping rechecking image are respectively represented by Mn and Rn, and a matching relation is formed between the mapping result image and the mapping rechecking image and the area blocks.
The statistics determining unit 403 is configured to count the number of pixels of each region block, compare the region blocks in the mapping result image and the mapping review image one by one, and determine whether the accuracy requirement is met according to the comparison result.
In this module, the statistics determining unit 403 counts the number of pixels in each area block, that is, counts the number of pixels in Mn and Rn, calculates the area change rate |rn-mn|/Mn, sets a threshold T0, and determines that the currently collected mapping result does not meet the accuracy requirement if |rn-mn|/Mn > T0 exists, and otherwise meets the accuracy requirement.
Claims (6)
1. A method for verifying mapping achievements is characterized in that: the method comprises the following steps:
image acquisition is carried out on the mapping result to obtain a mapping result image, wherein the mapping result image comprises mapping mark points;
calculating a center mark point based on the mapping result image, and acquiring a real-time image of the region to be measured according to the position of the center mark point to obtain a mapping recheck image;
carrying out mark point identification according to the mapping result image and the mapping checking image, and carrying out picture matching on the mapping result image and the mapping checking image;
carrying out survey proportion verification according to the matched survey result image and the survey recheck image, and judging whether the survey result meets the precision requirement;
the step of identifying the mark point of the mapping checking image according to the mapping result image and performing picture matching on the mapping result image and the mapping checking image specifically comprises the following steps:
rotating the mapping review image so that the mapping review image and the mapping result image are in the same orientation;
identifying the positions of the marking points in the mapping review image according to the positions of the mapping marking points in the mapping result image;
randomly selecting three marking points from corresponding positions of the mapping checking image and the mapping result image, and enabling the three marking points in the mapping checking image and the mapping result image to coincide by zooming the image, wherein the three marking points are not on the same straight line;
and carrying out survey proportion verification according to the matched survey result image and the survey recheck image, and judging whether the survey result meets the precision requirement or not, wherein the method specifically comprises the following steps of:
converting the mapping result image and the mapping review image into images with the same resolution;
randomly selecting a plurality of mark points from the mapping result image and the mapping rechecking image, and connecting each mark point with all other selected mark points to form a plurality of area blocks;
and counting the pixel number of each region block, comparing the region blocks in the mapping result image and the mapping checking image one by one, and judging whether the precision requirement is met according to the comparison result.
2. The method for verifying the surveying and mapping result according to claim 1, wherein the step of calculating a center mark point based on the surveying and mapping result image, and performing real-time image acquisition on the area to be measured according to the position of the center mark point, to obtain the surveying and mapping review image specifically comprises:
identifying the position of each mapping marking point in the mapping result image, and sequentially connecting each mapping marking point by using line segments to obtain an enclosing region;
determining the central points of the areas formed by enclosing all the mapping mark points to obtain central mark points;
and finding out the corresponding position of the region to be measured according to the central mark point, and acquiring an image by using the unmanned aerial vehicle to obtain a mapping recheck image.
3. The method for verifying a mapping effort of claim 1, wherein: in the step of randomly selecting a plurality of marking points from the mapping result image and the mapping review image, at least three marking points are selected.
4. The method for verifying a mapping effort of claim 1, wherein: the number of the mapping mark points is three or more.
5. A verification system for mapping achievements, characterized by: the system comprises:
the result conversion module is used for carrying out image acquisition on the mapping result to obtain a mapping result image, wherein the mapping result image comprises mapping mark points;
the real-time image acquisition module is used for calculating a center mark point through a mapping result image, and acquiring a real-time image of a region to be measured according to the position of the center mark point to obtain a mapping rechecking image;
the image matching module is used for identifying marking points of the mapping checking image according to the mapping result image and carrying out picture matching on the mapping result image and the mapping checking image;
the precision detection module is used for carrying out survey proportion verification according to the matched survey result image and the survey recheck image, and judging whether the survey result meets the precision requirement;
the image matching module comprises:
the image rotation unit is used for rotating the mapping checking image so that the mapping checking image and the mapping result image are in the same direction;
the mark identifying unit is used for identifying the positions of the mark points in the mapping checking image according to the positions of the mapping mark points in the mapping checking image;
the image adjusting unit is used for randomly selecting three marking points from the corresponding positions of the mapping checking image and the mapping result image, and enabling the three marking points in the mapping checking image and the mapping result image to coincide by zooming the image, wherein the three marking points are not on the same straight line;
the precision detection module comprises:
the resolution adjusting unit is used for converting the mapping result image and the mapping review image into images with the same resolution;
the regional division unit is used for randomly selecting a plurality of marking points from the mapping result image and the mapping rechecking image, and connecting each marking point with all other selected marking points to form a plurality of regional blocks;
and the statistics judging unit is used for counting the pixel number of each region block, comparing the region blocks in the mapping result image and the mapping checking image one by one, and judging whether the precision requirement is met according to the comparison result.
6. The system for verification of mapping effort of claim 5, wherein: the real-time image acquisition module comprises:
the marking point identification unit is used for identifying the position of each mapping marking point in the mapping result image, and connecting the mapping marking points in sequence by using line segments to obtain an enclosing area;
the central mark point identification unit is used for determining the central points of the areas formed by enclosing all the mapping mark points to obtain central mark points;
and the image acquisition unit is used for finding the corresponding position of the region to be measured according to the central mark point, and acquiring an image through the unmanned aerial vehicle to obtain a mapping recheck image.
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