KR20200058205A - Automated symbolization of 1:25,000 map based on domestic geometric characteristic - Google Patents

Abstract

Provided is an automated geographic feature symbolization method. For example, provided is an automated geographic feature symbolization method which generates a styled layer descriptor (SLD) based on a pre-defined symbolization rule and manages the generated SLD. According to the present invention, quality of a map can be improved.

Description

AUTOMATIC SYMBOLIZATION OF 1: 25,000 MAP BASED ON DOMESTIC GEOMETRIC CHARACTERISTIC

Hereinafter, a technique is provided for providing an automated method of coding reflecting domestic terrain characteristics.

Mapping includes the process of expressing a geometry by applying a schematic standard according to the characteristics of the terrain, and a process of changing a shape to output the displayed geometry in a map form. For reference, a change to a shape is a change for outputting a map, and actual data is not changed by a change to the shape.

The map is basically produced through the process of symbolization (for example, application of a schematic standard), generalization and transitionation, periodization (for example, Label), construction of contours, and creation of marginal cycles. In this process, user intervention (eg, additional work) may be required to meet the purpose of the map according to the regional characteristics.

According to one embodiment, it is possible to provide an automated coding method in which standardization and characterization are reflected in cartography.

According to an embodiment, a method for automating symbolization of a map that can reflect domestic regional characteristics is provided.

The automated terrain feature encoding method according to an embodiment may generate a SLD (Styled Layer Descriptor) based on a predefined symbolization rule and manage the generated SLD.

The automated feature encoding method may include storing the encoding rule in a repository together with map data.

The step of storing in the storage may include determining the name of the encoding rule file with the same name as the feature.

The symbolization rules include a code name for a geographical feature, a definition of the geographical feature and symbol information to be displayed on a map, information on the property code of the feature and the meaning of the property code, and basic principle information on the representation of the feature. , And functional information of software used for cartography.

It may include an interface for managing the name and definition of a feature, an interface for processing a feature having standardized symbols and a plurality of characterization symbols, and a symbolizer interface for processing a symbol by symbols and attributes.

For complex features, symbolization using graphic resources corresponding to external graphics can be applied.

According to an embodiment, by generating a SLD (Styled Layer Descriptor) for expressing topographic features based on a signing rule, automation of sign application of a map may be implemented.

According to one embodiment, the quality of the map may be gradually developed by repeatedly applying rule-based automation.

According to one embodiment, as time passes, such as machine learning, the quality of the map may be improved and the map may be automatically symbolized quickly.

1 illustrates an example of a map according to an embodiment.
FIG. 2 is a diagram illustrating a relationship between the encoding rules and interfaces of the SLD according to an embodiment.
3 shows an SLD generated according to an embodiment.
4 illustrates an example of a symbolizer to which an external graphic symbol is applied according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. The same reference numerals in each drawing denote the same members.

Various changes can be made to the embodiments described below. The examples described below are not intended to be limiting with respect to the embodiments, and should be understood to include all modifications, equivalents, or substitutes thereof.

The terms used in the examples are only used to describe specific examples, and are not intended to limit the examples. Singular expressions include plural expressions, unless the context clearly indicates otherwise. In this specification, terms such as “include” or “have” are intended to indicate that there are features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and one or more other features. It should be understood that the existence or addition possibilities of fields or numbers, steps, operations, components, parts or combinations thereof are not excluded in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art to which the embodiment belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined in the present application. Does not.

In addition, in the description with reference to the accompanying drawings, the same components are given the same reference numerals regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that detailed descriptions of related known technologies may unnecessarily obscure the subject matter of the embodiments, detailed descriptions thereof will be omitted.

The figure expressed in this specification may be a continuum of coordinates expressed in points, lines, and / or planes depicting the real world, but may be two-dimensional geometry conforming to ISO 19125 standards, but is not limited thereto.

Depending on the purpose of the map, the standardized and specialized parts of the map may conflict. According to an embodiment of the present invention, a method for automating the symbolization of a map is proposed, which adequately buffers the standardization and characterization of the map and reflects the regional characteristics of the country. Hereinafter, a method of automating map symbolization according to an embodiment will be described in detail with reference to FIGS. 1 to 4.

Apply symbolization

1 illustrates an example of a map according to an embodiment.

For example, a 1: 25,000 map consists of 25 maps of the original 1: 5,000 map. For reference, a 1: 50,000 map may consist of four leaves of 1: 25,000. For reference, FIG. 1 may indicate a 1: 25,000 map index of the National Geographic Information Institute.

According to one embodiment, data is extracted based on a 1: 25,000 map for mapping. The extracted data is stored in the internal working storage. At this time, standard and specialized symbolization rules for topographic features are also stored in the repository together with the extracted data.

QGIS ( www.qgis.org ) can be used as an open source based application program to display data. Data from the internal storage is loaded through the application program. At this time, by directly applying a symbolization rule (for example, symbol definition) stored with the map data, the map can be directly generated without additional user intervention. The name of the signing rules file may have the same name as the feature. The above-described QGIS application program automatically applies the same file name as the terrain feature first, so it is to use the functions of the QGIS application program.

Define symbolic rules

The standard rules for geographical feature encoding can be defined as in Table 1 below. Table 1 below shows the composition of the geographic feature coding rules. The English name of the feature may be defined so that there is no overlap between layers, and codes corresponding to each feature may be defined.

In Table 1, the description of each item is as follows.

The 'F_Code' of the feature is a code name for the feature.

'Description' provides the definition of topographic features and symbol information to be displayed on the map. In addition, 'description' also provides information on the meaning of the attribute code and the attribute code of the terrain feature.

The 'Notation Principle' provides basic principle information about the notation of topographic features, and defines detailed work rules for the notation principle in detailed editing.

The 'Use Tool' provides functional information of the GIS software used for cartography to edit the topographic features.

Implement symbolization rules

A SLD (Styled Layer Descriptor) for expressing a topographic feature (eg, a layer) may be generated based on the above-described symbolization rule. In this specification, SLD may represent a style markup under for vector and raster layer visualization.

For example, SLDs may be automatically generated based on the above-described rules for various terrain features. By managing the generated SLD, automation of symbol application of the map can be implemented. Data used in a specific task or field can be managed based on rules, and the quality of the map can be gradually developed by repeatedly applying it to the data.

FIG. 2 is a diagram illustrating a relationship between the encoding rules and interfaces of the SLD according to an embodiment.

The SLD can include multiple interfaces. For example, in the feature encoding rule, the upper layer called the 'FeatureTypeStyle' interface may manage feature names, definitions, and the like. For example, one feature may have standardized symbols and multiple characterization symbols. A feature is handled by the implementation of the 'Rule' interface in the notation principle. In addition, the 'Rule' interface may have a symbolizer interface that processes symbols by symbols and properties. Implementations of the symbolizer interface may incorporate detailed rules for rendering true point, line, and / or face data. The color and size of the symbol can be managed separately, and various detailed rules can be processed.

3 shows an SLD generated according to an embodiment.

For example, FIG. 3 shows an SLD to which a simple rule is applied.

For complex features, symbolization can be applied using graphic resources. The use of external graphics enables the processing of various and complex symbols.

4 illustrates an example of a symbolizer to which an external graphic symbol is applied according to an embodiment.

As described above with reference to FIG. 1, in the SLD generation and management method using data based on the coding rule, the standardization and characterization rule can be managed together with the map number. As time goes on, such as machine learning, the quality of maps can be improved and map symbolization can be automated quickly.

The device described above may be implemented with hardware components, software components, and / or combinations of hardware components and software components. For example, the devices and components described in the embodiments include, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors (micro signal processors), microcomputers, field programmable arrays (FPAs), It may be implemented using one or more general purpose computers or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of understanding, a processing device may be described as one being used, but a person having ordinary skill in the art, the processing device may include a plurality of processing elements and / or a plurality of types of processing elements. It can be seen that may include. For example, the processing device may include a plurality of processors or a processor and a controller. In addition, other processing configurations, such as parallel processors, are possible.

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process independently or collectively You can command the device. Software and / or data may be interpreted by a processing device, or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodied in the transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the medium may be specially designed and constructed for the embodiments or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specifically configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described by a limited embodiment and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques are performed in a different order than the described method, and / or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if substituted or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (6)

An automated terrain feature encoding method that manages the generated SLD by generating a Styled Layer Descriptor (SLD) based on a predefined encoding rule. According to claim 1,
The automated feature encoding method,
Storing the encoding rules together with map data in a storage
Automated feature encoding method comprising a. According to claim 2,
The step of storing in the storage,
Steps to determine the name of the signing rules file with the same name as the feature
Automated feature encoding method comprising a. According to claim 1,
The coding rule is,
Code names for topographic features, definitions of topographic features and symbol information to be displayed on the map, information on the feature codes of the topographic features and the meaning of the feature codes, basic principle information on the representation of topographic features, and map production Containing functional information of the software used,
Automated feature coding method. According to claim 1,
The interface of the SLD,
An interface for managing the name and definition of a feature, an interface for processing a feature having standardized symbols and a plurality of characterizing symbols, and a symbolizer interface for processing a symbol by symbols and attributes,
Automated feature coding method. According to claim 1,
For complex terrain features, symbolization using graphic resources corresponding to external graphics is applied.
Automated feature coding method.

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