Method, device and equipment for identifying urban public open space, and readable storage medium

Abstract

The invention provides a method, device and equipment for identifying an urban public open space and a readable storage medium, and the method comprises the steps: obtaining the urban territorial space monitoring data and territorial change investigation data of a to-be-identified city, and enabling the territorial change investigation data to comprise the structural features and attribute features of the urban space; the urban territorial space monitoring data and the territorial change survey data are analyzed, open public space data content of the to-be-recognized city is obtained, and the open public space data content comprises at least one of data content of streets, parks, roads, squares, outdoor playgrounds and public waterfront areas. Through the method, the effect of accurately identifying the urban public open space by using authoritative data can be achieved.

Description

Technical Field

[0001] The present application relates to the field of data processing, and in particular, to a method, device, equipment and readable storage medium for identifying urban public open spaces. Background Art

[0002] At present, the existing public space identification methods mainly analyze the various public facilities in the city through the identification of urban remote sensing images.

[0003] However, the method of image recognition alone is relatively simple. If errors occur when acquiring the image, errors will also occur in the final recognition results. In other words, the accuracy of recognition depends on the accuracy of the image and the accuracy of the recognition algorithm.

[0004] Therefore, how to use authoritative data to accurately identify urban public open spaces is a technical problem that needs to be solved. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide a method for identifying urban public open spaces. Through the technical solutions of the embodiments of the present application, it is possible to achieve the effect of accurately identifying urban public open spaces using authoritative data.

[0006] In a first aspect, an embodiment of the present application provides a method for identifying urban public open spaces, comprising obtaining urban land space monitoring data and land change survey data of a city to be identified, wherein the land change survey data include structural characteristics and attribute characteristics of the urban space; analyzing the urban land space monitoring data and the land change survey data to obtain open public space data content of the city to be identified, wherein the open public space data content includes: at least one of streets, parks, roads, squares, outdoor sports fields and public waterfront area data content.

[0007] In the above-mentioned embodiments of the present application, by combining the dual data of urban land space monitoring data and land change survey data for analysis, the open public spaces of the city to be identified are identified, which can solve the inaccuracy of the existing technology that can only use a single image recognition analysis to identify the open public spaces of the city, and achieve the effect of accurately identifying the public open spaces of the city using authoritative data.

[0008] In some embodiments, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: superimposing and analyzing urban land space monitoring data, land change survey data and urban monitoring range data to obtain road network data, road land use data and urban monitoring range data of the city to be identified, wherein the road network data include urban road network centerline data and highway network centerline data in the urban area, and the urban land space monitoring data include remote sensing data of the city to be identified; separating road land use data of the city to be identified from the land change survey data based on the purpose of road land use, wherein the road land use data include the land use situation of the urban transportation network of the city to be identified.

[0009] In the above-mentioned embodiments of the present application, by superimposing and analyzing a variety of data such as urban land space monitoring data, land change survey data and urban area monitoring range data, urban road land use data in open spaces can be accurately identified, thereby solving the inaccuracy of road data identification through a single image in the prior art.

[0010] In some embodiments, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: establishing a street identification index system based on the characteristics of street openness and free access in the city to be identified; analyzing the urban road network centerline data and the urban highway network centerline data in the urban area of ​​the city to be identified based on the street identification index system.

[0011] In the above-mentioned embodiment of the present application, the open space of the street is marked by the street characteristics, and then the center point of the mark connection is accurately identified according to the mark, thereby determining the center line data of the urban road network and the center line data of the highway network in the urban area.

[0012] In some embodiments, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: extracting street network centerline data that reflects the spatial structure of the street network and centerline data of the road network without street features that reflects the spatial structure of the road network without street features; matching the street network centerline data and the road network centerline data without street features with the road land data respectively to obtain street land data reflecting the street land area.

[0013] In the above embodiment of the present application, street land use can be accurately determined through the analysis of the center line of the street data and the entire ground data set.

[0014] In some embodiments, the street network centerline data and the road network centerline data without street features are matched with the road land data respectively to obtain street land data reflecting the street land area, including: spatially filtering the street network centerline data and the road network centerline data without street features to obtain potential street land data reflecting the potential street land situation; eliminating various types of road network surface data without street features through the potential street land data to obtain preliminary street land data; refining the preliminary street land data and adjusting the scale of the preliminary street land data so that the scale of the preliminary street land data matches the scale of the street network centerline data to obtain the street land data.

[0015] In the above-mentioned embodiments of the present application, the street land use data can be accurately analyzed by eliminating irrelevant features and performing fine processing on the roadside.

[0016] In some embodiments, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: superimposing and analyzing the urban land space monitoring data and land change survey data to obtain park land data, square land data, outdoor sports field land data and public waterfront land data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city.

[0017] In the above embodiments of the present application, by superimposing urban land space monitoring data and land change survey data analysis, the inaccuracy of identifying open spaces through a single image in the prior art can also be solved.

[0018] In some embodiments, urban land space monitoring data and land change survey data of the city to be identified are obtained, including: obtaining urban land space monitoring data by analyzing remote sensing images of the city to be identified; and retrieving structural characteristics and attribute characteristics of the city to be identified through the monitoring system of the city to be identified.

[0019] In the above-mentioned embodiments of the present application, urban land space monitoring data can be analyzed through remote sensing images, and structural features and attribute features can be acquired through the urban monitoring system to facilitate accurate identification of open spaces based on the acquired data.

[0020] In a second aspect, an embodiment of the present application provides a device for identifying a public open space in an urban area, comprising:

[0021] An acquisition module is used to acquire urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes structural characteristics and attribute characteristics of the urban space;

[0022] The identification module is used to analyze the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas.

[0023] Optionally, the identification module is specifically used for:

[0024] Overlay and analyze the urban land space monitoring data, land change survey data and urban area monitoring range data to obtain the road network data, road land use data and urban area monitoring range data of the city to be identified, among which the road network data includes the centerline data of the urban road network in the urban area and the centerline data of the highway network in the urban area, and the urban land space monitoring data includes the remote sensing data of the city to be identified;

[0025] The road land use data of the city to be identified are separated from the land change survey data based on the purpose of road land use, wherein the road land use data includes the land use situation of the urban transportation network of the city to be identified.

[0026] Optionally, the identification module is specifically used for:

[0027] Establish a street identification index system based on the characteristics of street openness and free access in the cities to be identified;

[0028] According to the street identification index system, the urban road network centerline data and the urban highway network centerline data in the city to be identified are analyzed.

[0029] Optionally, the identification module is specifically used for:

[0030] Extracting street network centerline data reflecting the spatial structure of the street network and centerline data of a road network without street features reflecting the spatial structure of a road network without street features;

[0031] The street network centerline data and the street feature-free road network centerline data are matched with the road land use data to obtain street land use data reflecting the street land area.

[0032] Optionally, the identification module is specifically used for:

[0033] Perform spatial filtering on the street network centerline data and the street feature-free road network centerline data to obtain potential street land use data reflecting the potential street land use conditions;

[0034] Through the potential street land use data, various types of road network surface data without street characteristics are eliminated to obtain preliminary street land use data;

[0035] The preliminary street land use data is processed in a refined manner, and the scale of the preliminary street land use data is adjusted so that the scale of the preliminary street land use data matches the scale of the street network centerline data to obtain the street land use data.

[0036] Optionally, the identification module is specifically used for:

[0037] The urban land space monitoring data and the land change survey data are superimposed and analyzed to obtain park land use data, square land use data, outdoor sports field land use data and public waterfront land use data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city.

[0038] Optionally, the acquisition module is specifically used to:

[0039] By analyzing the remote sensing images of the cities to be identified, urban land space monitoring data can be obtained;

[0040] The structural characteristics and attribute characteristics of the city to be identified are retrieved through the monitoring system of the city to be identified.

[0041] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the method provided in the first aspect are performed.

[0042] In a fourth aspect, an embodiment of the present application provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the method provided in the first aspect are performed.

[0043] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 A flowchart of a method for identifying urban public open spaces provided in an embodiment of the present application;

[0046] Figure 2 A flowchart of an implementation method for identifying urban public open spaces provided in an embodiment of the present application;

[0047] Figure 3 A schematic block diagram of a device for identifying urban public open spaces provided in an embodiment of the present application;

[0048] Figure 4 A schematic diagram of the structure of a device for identifying urban public open spaces provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0050] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0051] This application is applied to the scenario of open space identification. The specific scenario is to accurately analyze the open space from different angles by superimposing and analyzing multiple data.

[0052] At present, the existing public space recognition methods mainly analyze the various public facilities in the city through the recognition of the overall image of the city. However, the image recognition method is relatively simple. If there is an error when the image is acquired, the final recognition result will also be wrong. In other words, the accuracy of recognition depends on the accuracy of the image and the accuracy of the recognition algorithm.

[0053] To this end, this application obtains the urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes the structural characteristics and attribute characteristics of the urban space; analyzes the urban land space monitoring data and land change survey data to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas. By combining the dual data of urban land space monitoring data and land change survey data for analysis, the open public space of the city to be identified can be identified, which can solve the inaccuracy of the existing technology that can only use a single image recognition analysis to identify the urban open public space, and achieve the effect of using authoritative data to accurately identify the urban public open space.

[0054] In the embodiment of the present application, the execution entity may be a device for identifying urban public open spaces in a system for identifying urban public open spaces. In actual applications, the device for identifying urban public open spaces may be electronic devices such as terminal devices and servers, which are not limited here.

[0055] Combine the following Figure 1 The method for identifying urban public open spaces in an embodiment of the present application is described in detail.

[0056] Please see Figure 1 , Figure 1 A flowchart of a method for identifying urban public open spaces provided in an embodiment of the present application is shown in FIG. Figure 1 The methods shown for identifying urban public open spaces include:

[0057] Step 110: Obtain urban land space monitoring data and land change survey data for the city to be identified.

[0058] Among them, the land change survey data include the structural characteristics and attribute characteristics of urban space. The structural characteristics include the scale characteristics of various structures such as buildings and objects in the city. The attribute characteristics include the categories of various structures such as buildings and objects, the scale of the city to which they belong, and other attribute characteristics. They can also include natural attributes, political attributes, social attributes, environmental attributes, and economic attributes. Urban land space monitoring data include remote sensing data of the city to be identified. Remote sensing data include remote sensing images and identification data, scale data, location data, and structural types of objects in remote sensing images. For example, urban land space monitoring data can be urban road data, highway centerline data, park green space and square land use data, and stadium land use data.

[0059] In some embodiments, urban land space monitoring data and land change survey data of the city to be identified are obtained, including: obtaining urban land space monitoring data by analyzing remote sensing images of the city to be identified; and retrieving structural characteristics and attribute characteristics of the city to be identified through the monitoring system of the city to be identified.

[0060] In the above process, the present application can analyze urban land space monitoring data through remote sensing images, and obtain structural characteristics and attribute characteristics through the urban monitoring system, so as to facilitate accurate identification of open spaces based on the acquired data.

[0061] Among them, the urban land space monitoring data obtained by analyzing the remote sensing images of the city to be identified can be obtained through image recognition models or directly obtained through image recognition tools. Remote sensing images can be obtained through onboard remote sensing equipment or through urban radars or cameras deployed in the city. The monitoring system of the city to be identified can be an uninterrupted system, which continuously monitors the changes in the structures of various things in the city and ultimately determines the structural characteristics and attribute characteristics of the city to be identified.

[0062] Step 120: Analyze the urban land space monitoring data and land change survey data to obtain the open public space data content of the city to be identified.

[0063] The open public space data content includes at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas, and may also include public toilets, etc.

[0064] In some embodiments of the present application, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: superimposing and analyzing urban land space monitoring data, land change survey data and urban monitoring range data to obtain road network data, road land use data and urban monitoring range data of the city to be identified, wherein the road network data include urban road network centerline data and highway network centerline data in the urban area, and the urban land space monitoring data include remote sensing data of the city to be identified; separating road land use data of the city to be identified from the land change survey data based on the use of road land, wherein the road land use data include the land use situation of the urban transportation network of the city to be identified.

[0065] In the above process, the present application accurately identifies urban road land use data in open spaces by superimposing and analyzing a variety of data such as urban land space monitoring data, land change survey data, and urban area monitoring range data, thereby solving the inaccuracy of road data recognition through a single image in the prior art.

[0066] Among them, the urban monitoring scope data can be the union of the urban scope defined in relevant documents and the urban scope (201, excluding county-level cities and counties) determined by the historical annual land change survey.

[0067] Optional: data on the centerline of the urban road network in the urban area, including the number of lanes, name, type, road width, whether it is elevated, road number, sign change type, element unique identification code, update time. In addition, the types can be divided into expressway / main road / secondary road / branch road / subway / ground rail / other roads, with the following meanings: Expressway: an urban road with a central dividing strip, more than four lanes, all or part of which uses grade separation and controlled access, for vehicles to travel at a higher speed; Main road: a road that serves as a skeleton in the urban road network; Secondary road: a regional trunk road in the urban road network, connected to the main road to form a complete urban trunk road system; Branch road: a road in the urban road network that connects to secondary trunk roads or is used within the region outside the trunk road; Subway: a high-capacity rail transportation system that mainly operates in tunnels built in the underground space of the city; Ground rail: ground sections of the subway and light rail in the city; Other roads: urban roads other than the above types.

[0068] Optional, the centerline data of the urban highway network, including the number of lanes, road number, one-way and two-way, up and down directions, paving materials, full name, road width, abbreviation, whether it is elevated, repeated road section number, technical level, type, identification change type, element unique identification code, and update time. In addition, the number of lanes (LANE) is filled in according to the actual number of regular motor vehicle lanes, excluding emergency lanes and non-motor vehicle lanes. For roads without lanes, the width of each lane can be calculated according to the standard of 3.5 meters, that is, the width of the motor vehicle road surface is divided by 3.5, without rounding, and the integer part of the quotient is taken as the value of the number of lanes; for roads with a width of less than 3.5 meters, the number of lanes is 1. When encountering repeated sections, the highest level line code (road number, RN) is filled in first, and the same level line code (road number, RN) with a smaller number is filled in first. The other section numbers of the repeated sections are filled in the repeated section number (RNP) attribute item.

[0069] Optionally, the urban land space monitoring data, land change survey data and urban area monitoring range data are superimposed and analyzed to obtain the street land use data of the city to be identified. The remote sensing data in the urban land space monitoring data can be analyzed to determine the first street land use data, and then the second street land use data is determined by the street attributes and structure in the land change survey data. The street monitoring range is then controlled by the urban area monitoring range data to control the data range of the first street land use data and the second street land use data. Finally, the first street land use data and the second street land use data are integrated, the intersection is taken, and the final street land use data is determined.

[0070] Optionally, separating the road land data of the city to be identified in the land change survey data according to the road land use purpose includes identifying different types of roads and relevant data of the roads, such as length data, width data and shape, according to different land uses.

[0071] In some embodiments of the present application, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: establishing a street identification index system based on the characteristics of street openness and free access in the city to be identified; analyzing the urban road network centerline data and the urban highway network centerline data in the urban area of ​​the city to be identified based on the street identification index system.

[0072] In the above process, the present application marks the open space of the street through the characteristics of the street, and then accurately identifies the center point connected by the markings based on the markings, and then determines the center line data of the urban road network and the center line data of the highway network in the urban area.

[0073] Among them, the characteristics of street openness and free access in the city to be identified can be set according to user input. The establishment of a street identification index system can mark the landmark buildings on both sides of the street to form road marking lines on both sides of the street. The street identification index system refers to a set of indicators used to evaluate and identify street characteristics, functions and vitality. These index systems usually include multiple dimensions, such as population density, street type, intersection density, greening rate, etc., to fully reflect all aspects of the street.

[0074] Optionally, the urban road network centerline data and the urban highway network centerline data of the city to be identified are analyzed according to the street identification index system. The urban road network centerline data and the urban highway network centerline data can be divided at the most densely populated area, the urban road network centerline data and the urban highway network centerline data can be divided at the main streets, and the urban road network centerline data and the urban highway network centerline data can be divided at the place with the largest greening rate and intersection density.

[0075] Optionally, the centerline data of the urban road network and the centerline data of the highway network in the urban area of ​​the city to be identified are analyzed according to the street identification index system. Different types of roads can be distinguished according to different road uses, such as urban roads and urban highways. The shape, length, width and other characteristics of the road can be determined based on the road marking lines on both sides of the street. The centerline data of the urban road network and the centerline data of the highway network in the urban area can be determined based on the middle line connecting the markings on both sides of the street.

[0076] In some embodiments of the present application, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: extracting street network centerline data reflecting the spatial structure of the street network and centerline data of the road network without street characteristics reflecting the spatial structure of the road network without street characteristics; matching the street network centerline data and the road network centerline data without street characteristics with the road land data respectively to obtain street land data reflecting the street land area.

[0077] In the above process, the application can accurately obtain street land through the center line of street data and matching with ground data plus neighborhood analysis (the center line of the unmatched street is used as a buffer zone).

[0078] The spatial structure of the road network without street features can be the centerline data of the entire city or part of the city, and the centerline data of the road network without street features includes the centerline data of the highway network without street features and the centerline data of the urban road network without street features. The street network centerline data represents the centerline of the streets in the city or part of the city. Land use matching refers to the location selection of the street network centerline data and the road land use data according to the spatial position to obtain the potential street land use data reflecting the potential street land use situation. For the centerline data of the road network without street features, the presence or absence of road width attributes is distinguished, and neighborhood analysis (buffer) or spatial filtering (selection by location) is performed respectively to obtain various types of road network surface data without street features. Then, the potential street land use data is used to eliminate various types of road network surface data without street features to obtain preliminary street land use data. The preliminary street land use data is erased using the street network centerline data, and the results are merged with the preliminary street land use data after neighborhood analysis (buffer) to obtain the final street land use data. The preliminary street land use data can be the street land use at the city or county planning scale, and the street network centerline data can be the street land use at the block planning scale.

[0079] Optionally, the street network centerline data and the road network centerline data without street features are matched with the road land use data respectively to obtain street land use data reflecting the street land area, including matching the street network centerline and the road network centerline without street features with urban road land to determine the location and length and width of the roads in the city, and then determine the street land area.

[0080] Among them, urban road land use data can be obtained through the urban monitoring system.

[0081] In some embodiments of the present application, the street network centerline data and the road network centerline data without street features are respectively matched with the road land data to obtain street land data reflecting the street land area, including: spatially filtering the street network centerline data and the road network centerline data without street features to obtain potential street land data reflecting the potential street land situation; eliminating various types of road network surface data without street features through the potential street land data to obtain preliminary street land data; refining the preliminary street land data and adjusting the scale of the preliminary street land data to match the scale of the street network centerline data to obtain the street land data.

[0082] In the above process, the present application can accurately analyze street land use data by eliminating irrelevant features and performing fine processing on the roadside.

[0083] Among them, the spatial filtering processing includes the processing of the location and points of spatial object data. Potential street land can be street network centerline data and road land data according to spatial filtering (selected by location, and some road land that matches the centerline data of urban road network without street features and the centerline data of highway network without street features, such as secondary trunk roads; it can also be street land that may form roads in the future, which can be manually input. The surface data of the road network without street features can be the surface data generated by the centerline data of the road network without street features based on whether there is a road width, such as: expressways.

[0084] Specifically, for the urban road network centerline data in the urban area, whether it has street characteristics is determined by whether it contains tracks, elevated structures, and pedestrian restrictions; for the highway network centerline data in the urban area, whether it has street characteristics is determined by whether it is free, closed, has elevated structures, and is dedicated. For the urban road network centerline data and the highway network centerline data in the urban area, the network centerline data that does not meet the requirements of their respective indicators are extracted to obtain the network surface data without street characteristics and the network centerline data.

[0085] Optionally, the street network centerline data and the road network centerline data without street features are matched with the road land data to obtain street land data reflecting the street land area, including performing spatial filtering on the street network centerline data and the road land data according to the spatial position to obtain potential street land data reflecting the potential street land situation. For the road network centerline data without street features, it is distinguished whether there is a road width attribute, and neighborhood analysis or spatial filtering is performed to obtain various types of road network surface data without street features. Using the potential street land data, various types of road network surface data without street features are eliminated to obtain preliminary street land data. Refined processing is performed to adjust the scale of the preliminary street land data to match the scale of the street network centerline data to determine the final street land data.

[0086] Among them, the neighborhood analysis is processed based on the road width attribute of the centerline data of the road network without street features, and the spatial filtering can be performed based on the spatial relationship between the centerline data of the road network without street features and the road data. The results of neighborhood analysis and spatial filtering are combined to obtain various types of road network surface data without street features. The preliminary street land use data is eliminated using the centerline data of the street network, and the results are combined with the preliminary street land use data after neighborhood analysis to obtain the final street land use data.

[0087] Optionally, the preliminary street land use data is refined and the scale of the preliminary street land use data is adjusted to match the scale of the street network centerline data to obtain the street land data, the road data in the preliminary street land use data is extracted and screened, and the length and width of the extracted street data are matched with the scale of the street network centerline data to obtain the street land data.

[0088] In some embodiments of the present application, urban land space monitoring data and land change survey data are analyzed to obtain open public space data content of the city to be identified, including: superimposing and analyzing the urban land space monitoring data and land change survey data to obtain park land data, square land data, outdoor sports field land data and public waterfront land data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city.

[0089] In the above process, the present application can also solve the inaccuracy of identifying open spaces through a single image in the prior art by superimposing urban land space monitoring data and land change survey data analysis.

[0090] Among them, the urban land space monitoring data and the land change survey data are superimposed and analyzed to obtain park land data, square land data, outdoor sports field land data and public waterfront land data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city. They can also be extracted through street land analysis and processing methods. For example, to extract park data, you can obtain urban remote sensing images and mark the park area, and match them with the shape and scale data of the park in the land change survey data to obtain the park's land data. Similarly, the park land data, square land data, outdoor sports field land data and public waterfront land data that reflect the spatial structure and spatial distribution of squares, outdoor sports fields and public waterfront areas can also be obtained in this way, which will not be elaborated here.

[0091] In the above Figure 1 In the process shown, the present application obtains the urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes the structural characteristics and attribute characteristics of the urban space; analyzes the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas. By combining the dual data of urban land space monitoring data and land change survey data for analysis, the open public space of the city to be identified is identified, which can solve the inaccuracy of the existing technology that can only use a single image recognition analysis to identify the open public space of the city, and achieve the effect of using authoritative data to accurately identify the urban public open space.

[0092] Combine the following Figure 2 The implementation method of identifying urban public open spaces in an embodiment of the present application is described in detail.

[0093] Please see Figure 2 , Figure 2 A flowchart of an implementation method for identifying urban public open spaces provided in an embodiment of the present application is shown in FIG. Figure 2 The implementation methods shown for identifying urban public open spaces include:

[0094] Step 210: Overlay and analyze the urban land space monitoring data, land change survey data and urban area monitoring range data to obtain street land use data of the city to be identified.

[0095] Specifically: Superimpose and analyze the urban land space monitoring data, land change survey data and urban area monitoring range data to obtain the road network data of the city to be identified, where the road network data includes the centerline data of the urban road network and the centerline data of the highway network in the urban area, and the urban land space monitoring data includes the remote sensing data of the city to be identified; separate the road land use data of the city to be identified from the land change survey data based on the purpose of road land use, where the road land use data includes the land use situation of the urban transportation network of the city to be identified.

[0096] Step 220: Extract street center lines, match them with road data, and obtain road land use data.

[0097] Specifically: extract the street network centerline data reflecting the spatial structure of the street network and the street-free feature network centerline data reflecting the spatial structure of the road network without street features; match the street network centerline data and the street-free feature network centerline data with the road land data respectively to obtain the road land data reflecting the street land area.

[0098] Step 230: Overlay and analyze the urban land space monitoring data and the land change survey data to obtain multiple open public space data contents.

[0099] Specifically: The urban land space monitoring data and the land change survey data are superimposed and analyzed to obtain park land use data, square land use data, outdoor sports field land use data and public waterfront land use data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city.

[0100] also, Figure 2 The specific methods and steps shown can be found in Figure 1 The method shown will not be described in detail here.

[0101] Previous article Figure 1-Figure 2 A method for identifying urban public open spaces is described below. Figure 3-Figure 4 Describe the device that identifies public open spaces in cities.

[0102] Please refer to Figure 3 , is a schematic block diagram of a device 300 for identifying a public open space in a city provided in an embodiment of the present application. The device 300 may be a module, a program segment or a code on an electronic device. The device 300 is similar to the above Figure 1 The method embodiment corresponds to and can be executed Figure 1 The various steps involved in the method embodiment and the specific functions of the device 300 can be found in the description below. To avoid repetition, the detailed description is appropriately omitted here.

[0103] Optionally, the device 300 includes:

[0104] The acquisition module 310 is used to acquire the urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes the structural characteristics and attribute characteristics of the urban space;

[0105] The identification module 320 is used to analyze the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas.

[0106] Optionally, the identification module 320 is specifically used for:

[0107] The urban land space monitoring data, land change survey data and urban area monitoring range data are superimposed and analyzed to obtain the road network data, road land use data and urban area monitoring range data of the city to be identified, among which the road network data include the centerline data of the urban road network and the centerline data of the highway network in the urban area, and the urban land space monitoring data include the remote sensing data of the city to be identified; the road land use data of the city to be identified is separated from the land change survey data according to the purpose of road land use, among which the road land use data include the land use situation of the urban transportation network of the city to be identified.

[0108] Optionally, the identification module 320 is specifically used for:

[0109] A street identification index system is established based on the characteristics of street openness and free access in the city to be identified. The centerline data of the urban road network and the centerline data of the highway network in the urban area of ​​the city to be identified are analyzed based on the street identification index system.

[0110] Optionally, the identification module 320 is specifically used for:

[0111] The street network centerline data reflecting the spatial structure of the street network and the street-free feature network centerline data reflecting the spatial structure of the road network without street features are extracted; the street network centerline data and the street-free feature network centerline data are matched with the road land use data respectively to obtain the street land use data reflecting the street land area.

[0112] Optionally, the identification module 320 is specifically used for:

[0113] The street network centerline data and the road network centerline data without street features are spatially filtered to obtain potential street land use data reflecting the potential street land use situation; various types of road network surface data without street features are eliminated through the potential street land use data to obtain preliminary street land use data; the preliminary street land use data is refined and the scale of the preliminary street land use data is adjusted to match the scale of the street network centerline data to obtain street land use data.

[0114] Optionally, the identification module 320 is specifically used for:

[0115] The urban land space monitoring data and the land change survey data are superimposed and analyzed to obtain park land use data, square land use data, outdoor sports field land use data and public waterfront land use data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city.

[0116] Optionally, the acquisition module 310 is specifically used for:

[0117] By analyzing the remote sensing images of the city to be identified, the urban land space monitoring data is obtained; through the monitoring system of the city to be identified, the structural characteristics and attribute characteristics of the city to be identified are retrieved.

[0118] Please refer to Figure 4 4 is a schematic block diagram of a device for identifying a public open space in an urban area provided in an embodiment of the present application. The device may include a memory 410 and a processor 420. Optionally, the device may also include: a communication interface 430 and a communication bus 440. The device is similar to the above Figure 1 The method embodiment corresponds to and can be executed Figure 1 The various steps involved in the method embodiment and the specific functions of the device can be found in the description below.

[0119] Specifically, the memory 410 is used to store computer-readable instructions.

[0120] Processor 420 is used to process the readable instructions stored in the memory and can execute Figure 1 The steps in the method.

[0121] The communication interface 430 is used for signaling or data communication with other node devices, for example, for communication with a server or a terminal, or for communication with other device nodes, but the embodiments of the present application are not limited thereto.

[0122] The communication bus 440 is used to realize direct connection and communication among the above components.

[0123] The communication interface 430 of the device in the embodiment of the present application is used to communicate signals or data with other node devices. The memory 410 can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The memory 410 can also be at least one storage device located away from the aforementioned processor. The memory 410 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 420, the electronic device executes the aforementioned Figure 1 The method process shown. The processor 420 can be used on the device 300 and is used to perform the functions in the present application. Exemplarily, the above-mentioned processor 420 can be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the embodiments of the present application are not limited thereto.

[0124] The embodiment of the present application also provides a readable storage medium, when the computer program is executed by a processor, Figure 1 The method process in the method embodiment shown is executed by the electronic device.

[0125] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method, and will not be described in detail here.

[0126] In summary, the embodiments of the present application provide a method, device, equipment and readable storage medium for identifying urban public open spaces, the method comprising: obtaining urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes the structural characteristics and attribute characteristics of the urban space; analyzing the urban land space monitoring data and land change survey data to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas. This method can achieve the effect of accurately identifying urban public open spaces using authoritative data.

[0127] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code includes one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0128] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0129] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0130] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0131] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0132] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusions, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for identifying urban public open spaces, characterized in that: include: Acquire urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes structural characteristics and attribute characteristics of the urban space; The urban land space monitoring data and the land change survey data are analyzed to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas.

2. The method according to claim 1, characterized in that The analyzing the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified includes: The urban land space monitoring data, the land change survey data and the urban area monitoring range data are superimposed and analyzed to obtain the road network data, road land use data and urban area monitoring range data of the city to be identified, wherein the road network data includes the center line data of the urban road network in the urban area and the center line data of the highway network in the urban area, and the urban land space monitoring data includes the remote sensing data of the city to be identified; The road land use data of the city to be identified are separated from the land change survey data according to the purpose of the road land use, wherein the road land use data includes the land use situation of the urban transportation network of the city to be identified.

3. The method according to claim 2, characterized in that The analyzing the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified includes: Establishing a street identification index system based on the characteristics of street openness and free access in the cities to be identified; The urban road network centerline data and the highway network centerline data within the urban area of ​​the city to be identified are analyzed according to the street identification index system.

4. The method according to any one of claim 2, characterized in that: The analyzing the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified includes: Extracting street network centerline data reflecting the spatial structure of the street network and centerline data of a road network without street features reflecting the spatial structure of a road network without street features; The street network centerline data and the street feature-free road network centerline data are matched with the road land use data respectively to obtain street land use data reflecting the street land area.

5. The method according to claim 4, characterized in that The method of matching the street network centerline data and the street feature-free road network centerline data with the road land data to obtain the street land data reflecting the street land area includes: Performing spatial filtering processing on the street network centerline data and the street feature-free road network centerline data to obtain potential street land use data reflecting potential street land use conditions; Through the potential street land use data, various types of road network surface data without street characteristics are eliminated to obtain preliminary street land use data; The preliminary street land use data is refined and the scale of the preliminary street land use data is adjusted so that the scale of the preliminary street land use data matches the scale of the street network centerline data to obtain the street land use data.

6. The method according to any one of claims 1 to 5, characterized in that: The analyzing the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified includes: The urban land space monitoring data and the land change survey data are superimposed and analyzed to obtain park land use data, square land use data, outdoor sports field land use data and public waterfront land use data that reflect the spatial structure and spatial distribution of parks, squares, outdoor sports fields and public waterfront areas in the city.

7. The method according to any one of claims 1 to 5, characterized in that: The acquisition of urban land space monitoring data and land change survey data of the city to be identified includes: By analyzing the remote sensing image of the city to be identified, obtaining the city's land space monitoring data; The structural features and the attribute features of the city to be identified are retrieved through the monitoring system of the city to be identified.

8. A device for identifying urban public open spaces, characterized in that: include: An acquisition module is used to acquire urban land space monitoring data and land change survey data of the city to be identified, wherein the land change survey data includes structural characteristics and attribute characteristics of the urban space; The identification module is used to analyze the urban land space monitoring data and the land change survey data to obtain the open public space data content of the city to be identified, wherein the open public space data content includes: at least one of the data content of streets, parks, roads, squares, outdoor sports fields and public waterfront areas.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the method according to any one of claims 1 to 7 are executed.

10. A computer-readable storage medium, characterized in that: include: A computer program, when the computer program is run on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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