CN117807173A - Geospatial data quality assessment method, device, electronic equipment and medium - Google Patents

Abstract

The invention provides a geospatial data quality assessment method, a device, electronic equipment and a medium, comprising the following steps: acquiring various types of geospatial data, and establishing a unified quality evaluation model based on the various types of geospatial data; the unified quality evaluation model at least comprises the evaluation of file names, data formats, data precision, completeness and behavior of the geospatial data and data characterization quality; performing quality evaluation on the various types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data; quality assessment results for different types of geospatial data are determined based on the quality assessment scores. The invention solves the problem that the existing geospatial data quality evaluation method lacks unified standards and specifications and is imperfect.

Description

Geospatial data quality assessment method, device, electronic equipment and medium

Technical Field

The present invention relates to the field of data analysis technologies, and in particular, to a geospatial data quality assessment method, apparatus, electronic device, and medium.

Background

With the development of satellite, aeronautical mapping and remote sensing technologies, the global data sets are rapidly expanding in size, with the benefit that the geographic information system has the ability to present a fine map of every corner of the world. Geospatial data is widely applied, but in the application process, obtaining massive geospatial data meeting quality standards is one of the primary problems to be solved. At present, subjective evaluation modes and objective evaluation modes are adopted for various spatial geographic data quality evaluation modes, the subjective evaluation modes have the reasons of time consumption, labor consumption, personal factors and the like, the use frequency in data quality evaluation is low, the existing modes are mostly objective and single data types, no integral and systematic evaluation index exists, and unified standards and specifications are lacking.

Disclosure of Invention

In view of the above, the present invention aims to provide a geospatial data quality evaluation method, apparatus, electronic device and medium, so as to solve the problem that the existing geospatial data quality evaluation method lacks unified standards and specifications, and is imperfect.

In order to achieve the above object, the technical scheme adopted by the embodiment of the invention is as follows:

In a first aspect, an embodiment of the present invention provides a geospatial data quality assessment method, including: acquiring various types of geospatial data, and establishing a unified quality evaluation model based on the various types of geospatial data; the unified quality evaluation model at least comprises the evaluation of file names, data formats, data precision, completeness and behavior of the geospatial data and data characterization quality; performing quality evaluation on the various types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data; quality assessment results for different types of geospatial data are determined based on the quality assessment scores.

In one embodiment, performing quality assessment on multiple types of geospatial data based on a pre-established unified quality assessment model to obtain quality assessment scores of different types of geospatial data, including: evaluating the file name, data format, data precision and completeness of the geospatial data based on the unified quality evaluation model; and if the file name, the data format, the data precision, the completeness and the behavior meet preset requirements, carrying out data characterization quality evaluation on different types of geospatial data based on a unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data.

In one embodiment, evaluating file names and data formats, data accuracy, and completeness and behavior of geospatial data based on a uniform quality evaluation model includes: the file name, the data format, the completeness and the behavior of the geospatial data are evaluated based on a unified quality evaluation model, and complete geospatial data are obtained; the file name and data format evaluation at least comprises the following steps: judging whether the file name of the geospatial data is correct or not, and judging whether the data format and the data organization of the geospatial data accord with preset regulations or not; evaluating the data precision of the complete geospatial data based on the unified quality evaluation model; wherein, the evaluation of the data precision at least comprises: and judging whether the spatial positioning reference system adopted by the complete geospatial data is correct or not and whether the position accuracy meets the requirement or not.

In one embodiment, performing data characterization quality evaluation on different types of geospatial data based on a unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data includes: and establishing characterization quality evaluation indexes of different types of geospatial data based on the unified quality evaluation model, and calculating quality evaluation scores of the different types of geospatial data based on the characterization quality evaluation indexes of the different types of geospatial data.

In one embodiment, the different types of geospatial data include at least: image data, topographic data, point cloud data, and vector data; establishing characterization quality evaluation indexes of different types of geospatial data based on a unified quality evaluation model, wherein the method comprises the following steps: establishing a characterization quality evaluation index of the image data, a characterization quality evaluation index of the topographic data, a characterization quality evaluation index of the point cloud data and a characterization quality evaluation index of the vector data based on the unified quality evaluation model; wherein, the characterization quality evaluation index of the image data at least comprises one or more of the following: an apparent quality evaluation index, a compliance evaluation index, and a confidentiality evaluation index; wherein the apparent quality evaluation index at least comprises one or more of the following: hue, clarity, stretch, blur, misalignment, and cloud cover; the compliance assessment index includes at least one or more of the following: image loss, image line loss and image range; the confidentiality rating index includes at least one or more of the following: cutting inspection, splicing inspection and twisting inspection; the characterization quality evaluation index of the topographic data at least comprises: the topography quality evaluation index at least comprises one or more of the following: sampling point uniformity, data edge connection and data internal errors; the characterization quality evaluation index of the point cloud data at least comprises: the point cloud quality evaluation index at least comprises one or more of the following: abnormal noise and local point cloud density; the characterization quality evaluation index of the vector data at least comprises one or more of the following: attribute accuracy evaluation index, data integrity evaluation index and topology evaluation index; wherein, the attribute precision evaluation index at least comprises: attribute accuracy; the data integrity evaluation index comprises at least one or more of the following: element redundancy and element omission; the topology evaluation index at least comprises one or more of the following: repeating, overlapping, joining, continuous, closing, and breaking.

In one embodiment, calculating the quality-assessment score for different types of geospatial data based on the characterized quality-assessment index for the different types of geospatial data includes: determining weight coefficients of characterization quality evaluation indexes of different types of geospatial data; and calculating the evaluation index score of each characterization quality evaluation index of the different types of geospatial data, and carrying out weighted calculation on the evaluation value index score of each characterization quality evaluation index based on the weight coefficient to obtain the quality evaluation score of the different types of geospatial data.

In one embodiment, determining quality assessment results for different types of geospatial data based on quality assessment scores includes: if the quality evaluation score is less than a first threshold, determining that the geospatial data is not acceptable; if the quality evaluation score is greater than or equal to a first threshold and less than a second threshold, determining that the geospatial data is qualified; wherein the second threshold is greater than the first threshold; if the quality evaluation score is greater than or equal to the second threshold and less than the third threshold, determining that the geospatial data is good; wherein the third threshold is greater than the second threshold; if the quality assessment score is greater than or equal to a third threshold and less than a fourth threshold, determining that the geospatial data is excellent; wherein the fourth threshold is greater than the third threshold.

In a second aspect, an embodiment of the present invention provides a geospatial data quality assessment apparatus, including: the data acquisition module is used for acquiring various types of geospatial data and establishing a unified quality evaluation model based on the various types of geospatial data; the unified quality evaluation model at least comprises the evaluation of file names, data formats, data precision, completeness and behavior of the geospatial data and data characterization quality; the quality evaluation score calculation module is used for carrying out quality evaluation on the various types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data; and the quality evaluation result determining module is used for determining quality evaluation results of different types of geospatial data based on the quality evaluation scores.

In a third aspect, an embodiment of the present invention provides an electronic device comprising a processor and a memory storing computer executable instructions executable by the processor to perform the steps of the method of any one of the first aspects described above.

In a fourth aspect, embodiments of the present invention provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor performs the steps of the method of any of the first aspects provided above.

The embodiment of the invention has the following beneficial effects:

the geospatial data quality evaluation method, device, electronic equipment and medium provided by the embodiment of the invention firstly acquire a plurality of types of geospatial data and establish a unified quality evaluation model based on the plurality of types of geospatial data (the unified quality evaluation model at least comprises the evaluation of file names, data formats, data precision, completeness, behavior and data characterization quality of the geospatial data); then, carrying out quality evaluation on the various types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data; finally, quality assessment results of the different types of geospatial data are determined based on the quality assessment scores. The method comprises the steps of obtaining various types of geospatial data, and establishing a unified quality evaluation model for the geospatial data to obtain unified evaluation indexes; and then calculating the quality evaluation scores of the different types of geospatial data based on the different types of the geospatial data, and finally obtaining the geospatial data meeting the quality standard based on the quality evaluation scores, thereby solving the problems that the conventional geospatial data quality evaluation method lacks unified standards and specifications and the evaluation method is imperfect.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flowchart of a geospatial data quality assessment method provided by an embodiment of the present invention;

FIG. 2 is a flow chart of another geospatial data quality assessment method provided by an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a geospatial data quality assessment device according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Currently, geospatial data quality assessment extraction has the following problems: (1) cognitive differences: the quality of the geospatial data has certain subjectivity, and different users and use environments have differences on the evaluation standards of the data quality; (2) data sources differ: factors such as different geospatial data sources, different types, processing methods and the like can cause the difference of data quality, and the credibility and usability of the data are different from different data sources; (3) the means is not enough: in the existing geospatial data quality evaluation method, unified standards and specifications are lacking; meanwhile, partial quantitative evaluation indexes lack related data or are inaccurate.

Based on the above, the geospatial data quality evaluation method, the device, the electronic equipment and the medium provided by the embodiment of the invention solve the problem that the conventional geospatial data quality evaluation method lacks unified standards and specifications and is imperfect.

For the sake of understanding the present embodiment, a method for estimating geospatial data quality disclosed in the present embodiment is first described in detail, and the method may be executed by an electronic device, such as a smart phone, a computer, a tablet computer, etc. The geospatial data quality assessment method is mainly used for automatically assessing the data quality of a system after data acquisition, and is used for storing management and application to obtain qualified data, and unqualified data is required to be subjected to data processing such as local correction, quality optimization, restoration hollowing, image enhancement, image filtering and the like, so that the quality and reliability of the geospatial data are improved, and data products with high quality and high precision and meeting requirements can be conveniently obtained after the data processing. Referring to the flowchart of a geospatial data quality assessment method shown in fig. 1, it is shown that the method mainly comprises the following steps S101 to S103:

step S101: and acquiring various types of geospatial data, and establishing a unified quality evaluation model based on the various types of geospatial data.

In one embodiment, the geospatial data includes at least: the image data, the topographic data, the point cloud data, the vector data and the picture data can be obtained through an external channel and a target information database management system to obtain various spatial geographic data such as multi-source heterogeneous image data, topographic data, point cloud data, vector data and picture data.

After the multiple types of geospatial data are acquired, a unified quality rating model can be established according to the multiple types of geospatial data, wherein the unified quality rating model at least comprises four aspects: and (5) evaluating the file name, data format, data precision, completeness and behavior and data characterization quality of the geospatial data.

Step S102: and performing quality evaluation on the various types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data.

In one embodiment, a unified quality assessment model is utilized to firstly judge whether the geospatial data is qualified from file names and data formats, completeness and behavior; secondly, carrying out data precision evaluation and data characterization quality evaluation again on the geospatial data subjected to file name and data format, completeness and behavior screening to obtain quality evaluation scores of different types of geospatial data.

Step S103: quality assessment results for different types of geospatial data are determined based on the quality assessment scores.

In one embodiment, a unified quality rating criterion may be preset, and quality rating results for different types of geospatial data are determined based on the quality rating scores.

According to the geospatial data quality assessment method provided by the embodiment of the invention, a unified quality assessment model is built for geospatial data by acquiring various types of geospatial data, so that a unified assessment index is obtained; and then calculating the quality evaluation scores of the different types of geospatial data based on the different types of the geospatial data, and finally obtaining the geospatial data meeting the quality standard based on the quality evaluation scores, thereby solving the problems that the conventional geospatial data quality evaluation method lacks unified standards and specifications and the evaluation method is imperfect.

In one embodiment, for the foregoing step S102, that is, when performing quality evaluation on multiple types of geospatial data based on a pre-established unified quality evaluation model to obtain quality evaluation scores of different types of geospatial data, the following manners may be adopted, including but not limited to, mainly including the following steps 1 to 2:

And step 1, evaluating the file name, the data format, the data precision, the completeness and the behavior of the geospatial data based on a unified quality evaluation model.

In the specific implementation, firstly, the file name, the data format, the completeness and the behavior of the geospatial data are evaluated based on a unified quality evaluation model, and the complete geospatial data are obtained.

Specifically, on the basis of a unified quality evaluation model, whether the data are qualified or not is judged according to file names, data formats, completeness and behavior, qualified data are screened out, and complete geospatial data are obtained. The file name and data format evaluation at least comprises the following steps: judging whether the file name of the geospatial data is correct or not, and judging whether the data format and the data organization of the geospatial data accord with preset regulations or not; if the file name is not named according to the specified format and the name is not standard, the data format is not defined format, and the data is judged to be unqualified data. The evaluation of the completeness and behavior of the data at least comprises: checking whether the date of data source production meets the requirement, whether the latest data is used during data acquisition, checking whether the data result is complete, whether the content of the metadata file is correct and complete, and checking the behavior of the metadata file according to the date of metadata production or the date of updating.

For example: the quality of the image data a is evaluated, firstly, from the two aspects of file name, data format, completeness and behavior, if the data format is not a prescribed data format (see table 1) such as jpg, img, tiff, png, geoTiff, IMG, JPG, JPG, CIB and the like, the data format is considered to be unsatisfactory, if the weather change of a certain time period is judged, the acquisition time of the image data a is not within a certain time period, the behavior of the image data a is judged to be unsatisfactory, and the image data a is judged to be unqualified and cannot be processed for application.

Table 1 multiple geospatial data format statistics table

And then, evaluating the data precision of the complete geospatial data based on the unified quality evaluation model.

Specifically, if the file name, the data format, the completeness and the behavior of the geospatial data meet the requirements, it is further required to determine whether the data precision meets the requirements, and the evaluation of the data precision at least includes: judging whether the spatial positioning reference system adopted by the complete geospatial data is correct or not, judging whether the position accuracy meets the requirement or not, and verifying the spatial reference system and the position accuracy of the data.

According to the acceptance standard of digital mapping quality achievement inspection and acceptance, the data precision evaluates the data quality from two aspects of a spatial reference system and position precision, wherein the spatial reference system comprises three types: ground reference, elevation reference and space projection, if all three meet the requirements, the space reference system standard of the data is qualified; the position accuracy includes: plane precision and elevation precision, the plane precision includes: control point coordinates, correction registration and the like, wherein the control point checking result r is N/N x 100%, N is the total number of errors, N is the total national demand, r0 is the error rate limit value, and if r is smaller than or equal to r0, the control point coordinate qualification rate is 100%; correction registration pass scoring square is s=60+40/r 0 x (r 0-r), r0=1%.

And step 2, if the file name, the data format, the data precision, the completeness and the behavior meet preset requirements, carrying out data characterization quality evaluation on different types of geospatial data based on a unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data.

In the implementation, if the file name, the data format, the data precision, the completeness and the behavior of the geospatial data all meet the requirements, the data characterization quality evaluation is performed on the geospatial data of different types based on a unified quality evaluation model, and the quality evaluation scores of the geospatial data of different types are obtained. Specifically, first, the characterization quality evaluation indexes of different types of geospatial data are established based on a unified quality evaluation model, and then the quality evaluation scores of the different types of geospatial data are calculated based on the characterization quality evaluation indexes of the different types of geospatial data.

Considering that different types of geospatial data have different characterization quality evaluation indexes, for image data, mainly considering indexes such as edge connecting precision, compliance, apparent quality, appearance, confidentiality and the like, whether the edge connecting between the picture frame edge and the adjacent pictures is correct, whether the images are fuzzy or misplaced and whether the colors are balanced; for the topographic data, mainly considering the accuracy of elevation data and for the point cloud data, mainly considering the abnormal noise and single-point cloud number; for vector data, the topological relation accuracy of the vector data needs to be considered. Therefore, the image data, the topographic data, the point cloud data and the vector data are respectively based on the unified quality evaluation model to establish the characterization quality evaluation index of the image data, the characterization quality evaluation index of the topographic data, the characterization quality evaluation index of the point cloud data and the characterization quality evaluation index of the vector data.

Wherein, the characterization quality evaluation index of the image data at least comprises one or more of the following: an apparent quality evaluation index, a compliance evaluation index, and a confidentiality evaluation index; the apparent quality evaluation index at least comprises one or more of the following: hue, clarity, stretch, blur, misalignment, and cloud cover; the compliance assessment index includes at least one or more of the following: image loss, image line loss and image range; the confidentiality rating index includes at least one or more of the following: clipping inspection, stitching inspection, and warping inspection.

The characterization quality evaluation index of the topographic data at least comprises: the topography quality evaluation index at least comprises one or more of the following: sample point uniformity, data bordering, and data internal errors.

The characterization quality evaluation index of the point cloud data at least comprises: the point cloud quality evaluation index at least comprises one or more of the following: abnormal noise and local point cloud density.

The characterization quality evaluation index of the vector data at least comprises one or more of the following: attribute accuracy evaluation index, data integrity evaluation index and topology evaluation index; the attribute accuracy evaluation index includes at least: attribute accuracy; the data integrity evaluation index comprises at least one or more of the following: element redundancy and element omission; the topology evaluation index at least comprises one or more of the following: repeating, overlapping, joining, continuous, closing, and breaking.

After determining the characterization quality evaluation index of the different types of geospatial data, the weighted evaluation method can be utilized to perform weighted calculation on the scores of the different characterization quality evaluation indexes of the geospatial data to obtain the quality evaluation score of the data. Specifically, firstly, determining weight coefficients of characterization quality evaluation indexes of different types of geospatial data; then, calculating the evaluation index score of each characterization quality evaluation index of the different types of geospatial data, and carrying out weighted calculation on the evaluation value index score of each characterization quality evaluation index based on the weight coefficient to obtain the quality evaluation score of the different types of geospatial data.

In the implementation, for the image data, the apparent quality evaluation may be performed on the image data based on the characterization quality evaluation index of the image data, to obtain the quality evaluation score of the image data. For example: assuming that the weight coefficient of the apparent quality evaluation index in the characterization quality evaluation index of the image data is 50%, the weight coefficient of the coincidence evaluation index is 30%, the weight coefficient of the confidentiality evaluation index is 20%, and further, the weight coefficients of indexes such as hue, definition, drawing, dislocation, cloud cover and the like in the apparent quality evaluation index are respectively 20%, and the weight coefficients of the image loss, the image line loss and the image range in the coincidence evaluation index are respectively 30%, 30% and 40%; the weight coefficients of the clipping inspection, the splicing inspection and the distortion inspection in the confidentiality evaluation indexes are 30%, 30% and 40%, respectively, the index score of each index is calculated, and then the corresponding weight coefficients are multiplied and added to obtain the quality evaluation score of the corresponding image data. Specifically, taking a representation quality index of image data as an example, the calculation mode is as follows: the inspection result r is N/n×100%, where N is the statistical or estimated bad area, N is the effective area of the unit result, the scoring method s=60+40/r0×r (r 0-r), r0=0% (the most important element), r0=3% (the other elements), and so on, to obtain the quality evaluation score of the image data.

Similarly, performing apparent quality evaluation on the topographic data based on the characterization quality evaluation index of the topographic data to obtain a quality evaluation score of the topographic data; based on the characterization quality evaluation index of the point cloud data, performing apparent quality evaluation on the point cloud data to obtain the quality evaluation score of the point cloud data; based on the characterization quality evaluation index of the vector data, performing topological relation evaluation on the vector data to obtain a topological index evaluation score of the vector data; and carrying out apparent quality evaluation on the picture data based on the characterization quality evaluation index of the picture data to obtain the quality evaluation score of the picture data.

After the quality evaluation scores of the different types of geospatial data are obtained, whether the data quality meets the precision evaluation standard can be determined according to a predetermined score interval. Specifically, if the quality evaluation score is smaller than a first threshold, determining that the geospatial data is unqualified; if the quality evaluation score is greater than or equal to a first threshold and less than a second threshold, determining that the geospatial data is qualified; wherein the second threshold is greater than the first threshold; if the quality evaluation score is greater than or equal to the second threshold and less than the third threshold, determining that the geospatial data is good; wherein the third threshold is greater than the second threshold; if the quality assessment score is greater than or equal to a third threshold and less than a fourth threshold, determining that the geospatial data is excellent; wherein the fourth threshold is greater than the third threshold.

In one embodiment, referring to Table 2, if the quality score is less than 60, the geospatial data is determined to be unacceptable based on the evaluation criteria; if the quality evaluation score is greater than or equal to 60 minutes and less than 70 minutes, judging that the geospatial data is qualified; if the quality evaluation score is more than or equal to 70 and less than 80, judging that the geospatial data is good; if the quality evaluation score is 80 points or more and less than 100 points, the geospatial data is determined to be excellent.

Table 2 geospatial data outcome quality ratings

According to the geospatial data quality assessment method provided by the embodiment of the invention, multiple types of geospatial data are obtained, and a unified quality assessment model is built for the geospatial data; based on different types of space geographic data, different characterization quality evaluation indexes are established; based on the characterization quality evaluation indexes of different data, the indexes in the evaluation indexes are weighted to calculate the characterization quality, so as to obtain a data characterization quality evaluation result, thereby solving the problem that the existing objective quality evaluation method is imperfect, and further obtaining the geospatial data with quality meeting the standard.

For easy understanding, the embodiment of the present invention further provides a specific geospatial data quality assessment method, as shown in fig. 2, which mainly includes the following steps S201 to S205:

step S201: raw geospatial data is acquired.

Step S202: establishing a unified quality assessment model based on the original geospatial data, comprising: file name and data format, completeness and behavior, data precision, attribute data accuracy. Wherein the attribute data accuracy, i.e. the data characterizing quality.

Step S203: and judging whether the data is qualified or not based on the file name and the data format, the completeness and the behavior and the data precision in the unified quality evaluation model.

Step S204: based on the obtained qualified data, different data attribute quality evaluation systems are established according to different types of geospatial data, and the data attribute quality is evaluated.

Specifically, different data attribute quality evaluation systems are established according to different types of geospatial data, namely different characterization quality evaluation indexes are established according to different types of geospatial data.

Step S205: and calculating quality evaluation scores according to different characterization quality evaluation indexes, and acquiring quality evaluation results of the geospatial data based on the quality evaluation grades.

In the embodiment of the invention, firstly, various geographic space data of images, terrains, vectors, point clouds and pictures are acquired, then a unified quality evaluation model is established for the geographic space data, and different characterization quality evaluation indexes are established according to different data, wherein the indexes comprise indexes such as topological relation, apparent quality, point cloud density and the like; and secondly, calculating the characterization quality of different data according to the established characterization quality evaluation index, and calculating the quality evaluation score of the geospatial data under the unified standard by a weighted calculation method, so as to obtain an evaluation result of the geospatial data, solve the problem of single space data quality evaluation method, provide an evaluation method for obtaining high-quality space and geographic data, and provide an evaluation method for obtaining high-quality data with reliable quality, wherein the product meets the requirements of users and the purpose of use.

The geospatial data quality evaluation method provided by the embodiment of the invention mainly has the following advantages: (1) Establishing a uniform standard geospatial data quality evaluation method; (2) Different characterization quality evaluation indexes are provided for different types of geographic data; (3) characterizing the quality by weight calculation; (4) The quality evaluation grade is established, so that the problem that the existing objective quality evaluation method is imperfect is solved, and the geospatial data with quality meeting the standard is obtained.

For the above-mentioned geospatial data quality assessment method provided in the foregoing embodiment, the embodiment of the present invention further provides a geospatial data quality assessment device, referring to a schematic structural diagram of a geospatial data quality assessment device shown in fig. 3, which illustrates that the device mainly includes the following parts:

the data acquisition module 301 is configured to acquire multiple types of geospatial data, and establish a unified quality assessment model based on the multiple types of geospatial data; the unified quality evaluation model at least comprises file names and data formats of the geospatial data, data precision, completeness and behavior, and evaluation of data characterization quality.

The quality evaluation score calculation module 302 is configured to perform quality evaluation on multiple types of geospatial data based on a unified quality evaluation model, so as to obtain quality evaluation scores of different types of geospatial data.

The quality evaluation result determining module 303 is configured to determine quality evaluation results of different types of geospatial data based on the quality evaluation score.

According to the geospatial data quality assessment device provided by the embodiment of the invention, a unified quality assessment model is built for geospatial data by acquiring various types of geospatial data, so that a unified assessment index is obtained; and then calculating the quality evaluation scores of the different types of geospatial data based on the different types of the geospatial data, and finally obtaining the geospatial data meeting the quality standard based on the quality evaluation scores, thereby solving the problems that the conventional geospatial data quality evaluation method lacks unified standards and specifications and the evaluation method is imperfect.

In one embodiment, the quality evaluation score calculating module 302 is further configured to: evaluating the file name, data format, data precision and completeness of the geospatial data based on the unified quality evaluation model; and if the file name, the data format, the data precision, the completeness and the behavior meet preset requirements, carrying out data characterization quality evaluation on different types of geospatial data based on a unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data.

In one embodiment, the quality evaluation score calculating module 302 is further configured to: the file name, the data format, the completeness and the behavior of the geospatial data are evaluated based on a unified quality evaluation model, and complete geospatial data are obtained; the file name and data format evaluation at least comprises the following steps: judging whether the file name of the geospatial data is correct or not, and judging whether the data format and the data organization of the geospatial data accord with preset regulations or not; evaluating the data precision of the complete geospatial data based on the unified quality evaluation model; wherein, the evaluation of the data precision at least comprises: and judging whether the spatial positioning reference system adopted by the complete geospatial data is correct or not and whether the position accuracy meets the requirement or not.

In one embodiment, the quality evaluation score calculating module 302 is further configured to: and establishing characterization quality evaluation indexes of different types of geospatial data based on the unified quality evaluation model, and calculating quality evaluation scores of the different types of geospatial data based on the characterization quality evaluation indexes of the different types of geospatial data.

In one embodiment, the different types of geospatial data include at least: image data, topographic data, point cloud data, and vector data; the quality evaluation score calculation module 302 is further configured to: establishing a characterization quality evaluation index of the image data, a characterization quality evaluation index of the topographic data, a characterization quality evaluation index of the point cloud data and a characterization quality evaluation index of the vector data based on the unified quality evaluation model; wherein, the characterization quality evaluation index of the image data at least comprises one or more of the following: an apparent quality evaluation index, a compliance evaluation index, and a confidentiality evaluation index; wherein the apparent quality evaluation index at least comprises one or more of the following: hue, clarity, stretch, blur, misalignment, and cloud cover; the compliance assessment index includes at least one or more of the following: image loss, image line loss and image range; the confidentiality rating index includes at least one or more of the following: cutting inspection, splicing inspection and twisting inspection; the characterization quality evaluation index of the topographic data at least comprises: the topography quality evaluation index at least comprises one or more of the following: sampling point uniformity, data edge connection and data internal errors; the characterization quality evaluation index of the point cloud data at least comprises: the point cloud quality evaluation index at least comprises one or more of the following: abnormal noise and local point cloud density; the characterization quality evaluation index of the vector data at least comprises one or more of the following: attribute accuracy evaluation index, data integrity evaluation index and topology evaluation index; wherein, the attribute precision evaluation index at least comprises: attribute accuracy; the data integrity evaluation index comprises at least one or more of the following: element redundancy and element omission; the topology evaluation index at least comprises one or more of the following: repeating, overlapping, joining, continuous, closing, and breaking.

In one embodiment, the quality evaluation score calculating module 302 is further configured to: determining weight coefficients of characterization quality evaluation indexes of different types of geospatial data; and calculating the evaluation index score of each characterization quality evaluation index of the different types of geospatial data, and carrying out weighted calculation on the evaluation value index score of each characterization quality evaluation index based on the weight coefficient to obtain the quality evaluation score of the different types of geospatial data.

In one embodiment, the quality evaluation result determining module 303 is further configured to: if the quality evaluation score is less than a first threshold, determining that the geospatial data is not acceptable; if the quality evaluation score is greater than or equal to a first threshold and less than a second threshold, determining that the geospatial data is qualified; wherein the second threshold is greater than the first threshold; if the quality evaluation score is greater than or equal to the second threshold and less than the third threshold, determining that the geospatial data is good; wherein the third threshold is greater than the second threshold; if the quality assessment score is greater than or equal to a third threshold and less than a fourth threshold, determining that the geospatial data is excellent; wherein the fourth threshold is greater than the third threshold.

It should be noted that, for the sake of brevity, reference may be made to the corresponding contents of the foregoing method embodiments for the description of the device embodiment, where the principles and technical effects of the device provided in the embodiment are the same as those of the foregoing method embodiments. The particular values provided in the practice of the present invention are exemplary only and are not limiting herein.

The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage device; the storage means has stored thereon a computer program which, when run by a processor, performs the method according to any of the above embodiments.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 100 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, the processor 40, the communication interface 43 and the memory 41 being connected by the bus 42; the processor 40 is arranged to execute executable modules, such as computer programs, stored in the memory 41.

The memory 41 may include a high-speed random access memory (RAM, random Acc ess Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and the at least one other network element is achieved via at least one communication interface 43 (which may be wired or wireless), which may use the internet, a wide area network, a local network, a metropolitan area network, etc.

Bus 42 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 4, but not only one bus or type of bus.

The memory 41 is configured to store a program, and the processor 40 executes the program after receiving an execution instruction, and the method executed by the apparatus for flow defining disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 40 or implemented by the processor 40.

The processor 40 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in processor 40. The processor 40 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal processor (Digital Signal Processing, DSP for short), application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory 41 and the processor 40 reads the information in the memory 41 and in combination with its hardware performs the steps of the method described above.

The computer program product of the readable storage medium provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where the program code includes instructions for executing the method described in the foregoing method embodiment, and the specific implementation may refer to the foregoing method embodiment and will not be described herein.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A geospatial data quality assessment method comprising:

acquiring multiple types of geospatial data, and establishing a unified quality evaluation model based on the multiple types of geospatial data; the unified quality evaluation model at least comprises the file name, data format, data precision, completeness and behavior of the geospatial data and evaluation of data characterization quality;

Performing quality evaluation on the geospatial data of the multiple types based on the unified quality evaluation model to obtain quality evaluation scores of the geospatial data of the different types;

and determining quality evaluation results of the different types of geospatial data based on the quality evaluation scores.

2. The method of claim 1, wherein performing quality assessment on the plurality of types of geospatial data based on a pre-established unified quality assessment model to obtain quality assessment scores for different types of geospatial data comprises:

evaluating the file name, data format, data precision, completeness and behavior of the geospatial data based on the unified quality evaluation model;

and if the file name, the data format, the data precision, the completeness and the behavior meet preset requirements, carrying out data characterization quality evaluation on different types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores of the different types of geospatial data.

3. The method of claim 2, wherein evaluating the file name and data format, data accuracy, and completeness and behavior of the geospatial data based on the unified quality assessment model comprises:

Evaluating the file name, the data format, the completeness and the behavior of the geospatial data based on the unified quality evaluation model to obtain complete geospatial data; wherein, the evaluation of the file name and the data format at least comprises: judging whether the file name of the geospatial data is correct or not, and judging whether the data format and the data organization of the geospatial data accord with preset regulations or not;

evaluating the data precision of the complete geospatial data based on the unified quality evaluation model; wherein, the evaluation of the data precision at least comprises: and judging whether the spatial positioning reference system adopted by the complete geographic space data is correct or not and whether the position accuracy meets the requirement or not.

4. The method of claim 2, wherein performing data characterization quality evaluations on different types of geospatial data based on the unified quality evaluation model to obtain quality evaluation scores for the different types of geospatial data comprises:

and establishing characterization quality evaluation indexes of different types of geospatial data based on the unified quality evaluation model, and calculating quality evaluation scores of different types of geospatial data based on the characterization quality evaluation indexes of different types of geospatial data.

5. The method of claim 4, wherein the different types of geospatial data include at least: image data, topographic data, point cloud data, and vector data;

establishing characterization quality evaluation indexes of different types of geospatial data based on the unified quality evaluation model, wherein the method comprises the following steps:

establishing a characterization quality evaluation index of the image data, a characterization quality evaluation index of the topographic data, a characterization quality evaluation index of the point cloud data and a characterization quality evaluation index of the vector data based on the unified quality evaluation model; wherein, the characterization quality evaluation index of the image data at least comprises one or more of the following: an apparent quality evaluation index, a compliance evaluation index, and a confidentiality evaluation index; wherein the apparent mass evaluation index includes at least one or more of: hue, clarity, stretch, blur, misalignment, and cloud cover; the compliance assessment index includes at least one or more of the following: image loss, image line loss and image range; the confidentiality evaluation index at least comprises one or more of the following: cutting inspection, splicing inspection and twisting inspection;

The characterization quality evaluation index of the topographic data at least comprises: a terrain quality assessment indicator comprising at least one or more of: sampling point uniformity, data edge connection and data internal errors;

the characterization quality evaluation index of the point cloud data at least comprises: the point cloud quality evaluation index at least comprises one or more of the following: abnormal noise and local point cloud density;

the characterization quality evaluation index of the vector data at least comprises one or more of the following: attribute accuracy evaluation index, data integrity evaluation index and topology evaluation index; wherein, the attribute precision evaluation index at least comprises: attribute accuracy; the data integrity evaluation index at least comprises one or more of the following: element redundancy and element omission; the topology evaluation index at least comprises one or more of the following: repeating, overlapping, joining, continuous, closing, and breaking.

6. The method of claim 4, wherein calculating quality assessment scores for different types of geospatial data based on their characterized quality assessment indicators comprises:

Determining weight coefficients of characterization quality evaluation indexes of different types of geospatial data;

calculating the evaluation index score of each characterization quality evaluation index of the different types of geospatial data, and carrying out weighted calculation on the evaluation value index score of each characterization quality evaluation index based on the weight coefficient to obtain the quality evaluation score of the different types of geospatial data.

7. The method of claim 1, wherein determining a quality assessment result for the different types of geospatial data based on the quality assessment score comprises:

if the quality evaluation score is smaller than a first threshold, determining that the geospatial data is disqualified;

if the quality evaluation score is greater than or equal to the first threshold and less than a second threshold, determining that the geospatial data is acceptable; wherein the second threshold is greater than the first threshold;

if the quality assessment score is greater than or equal to the second threshold and less than a third threshold, determining that the geospatial data is good; wherein the third threshold is greater than the second threshold;

if the quality assessment score is greater than or equal to the third threshold and less than a fourth threshold, determining that the geospatial data is excellent; wherein the fourth threshold is greater than the third threshold.

8. A geospatial data quality assessment device comprising:

the data acquisition module is used for acquiring various types of geospatial data and establishing a unified quality evaluation model based on the various types of geospatial data; the unified quality evaluation model at least comprises the file name, data format, data precision, completeness and behavior of the geospatial data and evaluation of data characterization quality;

the quality evaluation score calculation module is used for carrying out quality evaluation on the geographic space data of the multiple types based on the unified quality evaluation model to obtain quality evaluation scores of the geographic space data of the different types;

and the quality evaluation result determining module is used for determining the quality evaluation result of the different types of geospatial data based on the quality evaluation score.

9. An electronic device comprising a processor and a memory, the memory storing computer executable instructions executable by the processor, the processor executing the computer executable instructions to implement the steps of the method of any one of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the method of any of the preceding claims 1 to 7.