KR101814023B1 - Apparatus and Method for Automatic Calibration of Finite Difference Grid Data - Google Patents

Abstract

The present invention relates to an apparatus and a method to automatically calibrate finite difference grid data with improved processing speed and correctness. According to the present invention, the apparatus comprises: a setting input unit to receive a random grid point selected in an image including a grid and a calibration value for the actually measured random grid point; a grid information generation unit to generate grid information including a reference value set to the random grid point and a tolerance for the reference value; a selection area determination unit selecting a plurality of adjacent grid points around the random grid point to extend a selection area, and comparing the grid points included in the selection area with the grid information; a selection area selection unit to select a calibrated grid point having a grid value within the tolerance of the grid information among the grid points; and a calibration processing unit applying the calibration value to the selected calibrated grid point to collectively perform calibration.

Description

Technical Field [0001] The present invention relates to an apparatus and method for automatically correcting finite difference lattice data,

More particularly, the present invention relates to an apparatus and method for automatically selecting and correcting data composed of a finite difference grating in a form of a finite difference grating.

To perform a numerical simulation with a spatial distribution, a discrete equations such as finite difference method (FDM), finite element method (FEM) or finite volume method (FVM) are used. In particular, finite difference method is the numerical method that is most easily used to construct the lattice, and is a numerical technique commonly used in various fields such as coastal fluid flow analysis, structural behavior analysis, and atmospheric flow analysis.

In this case, the finite difference lattice data refers to the form of data consisting of a spatial interval that changes regularly or regularly. Structured data at regular intervals can also be treated as finite difference lattice data. Data consisting of finite difference gratings can be applied to numerical techniques such as finite difference method and finite volume method.

For example, in the case of coastal numerical simulation such as coastal structure stability evaluation, earthquake and storm surge evaluation, the numerical altitude model We need to construct a finite difference grid using data from Digital Elevation Model (DEM) and Digital Surface Model (DSM).

In this case, the digital elevation model (DEM) is a three dimensional spatial information and visualization information using a mobile measurement system, three-dimensional spatial information and orthoimage image using aerial photograph, two-dimensional spatial information using a basic geographic information and a digital map Etc.), and three-dimensional spatial information using airborne laser measurement. This is because it is a model that shows the shape of the terrain using the numerical value of the grid value of the terrain and uses it to create a bird's-eye view of the raster image, the 3D video production, the drainage zone analysis and the suitableland analysis, And correction of the geometric distortion of the generated image data.

In addition, the numerical surface model (DSM) is a model showing not only elevation values of the ground surface but also elevation values of features such as buildings and artifacts and vegetation, which are used for telecommunication management, forest management and 3D simulation.

However, since the finite difference method is relatively straightforward and has low flexibility, there is a problem that when the boundary of the irregular shape is processed, for example, when the boundary between the shore and the surface is processed, an error occurs. Therefore, A correction operation for the elevation value of "

If the finite difference grid is generated by a general method, the data values at the required positions are obtained by interpolation using the values of the data distributed at arbitrary positions. The interpolation method is an artificially formed or rapidly changing data It is difficult to reflect changes in For example, when building elevation data for coastal numerical simulations, coastal structures such as breakwaters change rapidly, unlike slopes and beaches that change with a certain degree of inclination. Therefore, An error may occur in the altitude value.

Even though it is a smooth area, there is a slight slope due to lack of data. The errors of these data have a great influence on the simulation results of wave deformation and flooding. Therefore, in order to increase the reliability of the numerical simulation using the finite difference grating, it is necessary to manually change the value of the finite difference grating to a predetermined elevation value or to correct the slope to be constant by manually referring to the data measured through the design drawing or field measurement And so on.

To do this, it is necessary to select the surrounding values within a certain error with the data value at a certain point. In this case, a lot of labor is required, and when the size of the grid to be corrected is large, it takes a long time.

Therefore, this problem occurs not only when a finite difference grating is generated through interpolation, but also when it is composed of a finite difference grating type, that is, when it is distributed at regular intervals. If you want to select and analyze the surrounding values, if the size of the data is large, it takes time.

Therefore, it is necessary to simplify and automate the correction method for the data produced by the finite difference grating method.

It is an object of the present invention to provide an apparatus and method for automatically selecting and correcting a peripheral value of a finite difference grating data having a certain error or slope difference.

Specifically, the present invention provides an apparatus and method for facilitating an operation of analyzing data and collectively changing the data by selecting peripheral values having a constant error value or a constant slope value from a specific point.

The present invention also provides a correction apparatus and method with improved processing speed and accuracy for data modification of a finite difference grating.

In order to achieve the above object, according to an embodiment of the present invention, there is provided an image processing apparatus including: a setting input unit for receiving a correction value for an arbitrary lattice point selected in an image having a lattice and an actually measured arbitrary lattice point; A lattice information generating unit for generating lattice information including a reference value set for the reference value and an error range for the reference value, a plurality of lattice points adjacent to each other on the arbitrary lattice point to expand the selection region, A selection region selection unit for selecting a correction lattice point having a lattice value within the error range of the lattice information from among the plurality of lattice points; And a correction processing unit for applying the correction value to the correction lattice point to perform correction in a lump It provides automatic compensation device of the difference grid material.

According to another aspect of the present invention, there is provided a method for controlling a light emitting device, comprising: a setting input step of receiving a first lattice point selected in an image having a lattice and a correction value for the first lattice point actually measured; A grid information generating step of generating grid information including a reference value set to a first grid point and an error range with respect to the reference value, selecting a plurality of grid points adjacent to each other around the first grid point to expand the selected region, Selecting a second lattice point having a lattice value within the error range of the lattice information from among the plurality of lattice points, comparing the plurality of lattice points within the area with the lattice information; Selecting the selected region, and selecting the selected region by repeating the selecting operation, selecting the selected region, and selecting the selected region. A selection region reselection step of detecting all lattice points and selecting a correction lattice point, and a correction processing step of applying the correction values to the selected correction lattice points in a lump to perform automatic correction of the finite difference lattice data A correction method is provided.

According to the present invention, there is an effect that the time for selecting and correcting input data composed of data is shortened, convenience is improved, and accuracy is also increased.

In this paper, we propose a finite - difference method for finite - difference grating data.

In addition, it is also easy to select a value at a specific position of data composed of a finite difference grating form and a peripheral value having a certain error.

Also, when the size of the finite difference lattice data is large, there is an effect of reducing the cost of the arithmetic processing required for selecting a peripheral value having a certain error.

1 is a block diagram of an apparatus for automatically correcting finite difference grating data according to an embodiment of the present invention.
2 is a flowchart illustrating a method of automatically correcting finite difference grating data according to an embodiment of the present invention.
3 is a detailed flowchart of a method of automatically correcting a finite difference grating data according to an embodiment of the present invention.
FIGS. 4A and 4B show an example of a method of automatically correcting a finite difference grating data of the present invention according to a cross-shaped selection region.
5A and 5B show an example of a method of automatically correcting a finite difference grating data of the present invention according to a box-shaped selection region.
6 is an example of a selection region reselecting step of a method of automatically correcting three-dimensional finite difference grating data according to an embodiment of the present invention.
7 is an image in which a method of automatically correcting 2D finite-difference grating data according to an embodiment of the present invention is actually applied to a GUI (Graphic User Interface) program.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In the drawings, like reference numerals are used to denote like elements throughout the drawings, even if they are shown on different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are intended to distinguish the components from other components, and the terms do not limit the nature, order, order, or number of the components. When a component is described as being "connected", "coupled", or "connected" to another component, the component may be directly connected or connected to the other component, Quot; intervening "or that each component may be" connected, "" coupled, "or " connected" through other components.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

1 is a block diagram of an apparatus 100 for automatically correcting a finite difference grating data according to an embodiment of the present invention.

In the present invention, the finite difference lattice data is obtained by applying interpolation to each lattice point (in this specification, 'lattice' and 'lattice point' are used as synonyms) by using data distributed at arbitrary positions Gridized data information is generated. For grating, two-dimensional plane drawing data or three-dimensional drawing data created by a commercial CAD program (Rhino, Auto Cad, etc.) can be used. The data used in the drawing data may include spatial information and characteristic data.

In this case, the finite difference lattice data refers to the form of data consisting of a spatial interval that changes regularly or regularly. Structured data at regular intervals can also be treated as finite difference lattice data. Data consisting of finite difference gratings can be applied to numerical techniques such as finite difference method and finite volume method.

In addition, finite difference method is the most convenient numerical method for constructing a lattice, and is a numerical technique commonly used in many fields as well as seawater fluid flow analysis. However, since the finite difference grating is relatively linear and has low flexibility, there is a problem that the boundary between irregular shapes is processed, for example, when the boundary between the shore and the surface is processed. Therefore, It is necessary to correct the elevation value of the object.

Referring to FIG. 1, an apparatus 100 for automatically correcting finite-difference grating data includes a grid input unit 110 for inputting a grid point selected in an image having a grid and a correction value for the arbitrary grid point actually measured, A controller 120 for selecting a correction lattice point based on the arbitrary lattice point, and a correction processor 130 for applying the correction value to the selected correction lattice point to perform correction in a lump .

Here, the controller 120 may include a lattice information generating unit 121 for generating lattice information including a reference value set to the arbitrary lattice point and an error range for the reference value, a plurality of lattice points adjacent to the arbitrary lattice point A selection region determining unit (122) for selecting a point to expand the selection region and comparing the plurality of grid points located within the selection region with the grid information; and a selection region determining unit And a selection region selection unit 123 for selecting the correction lattice point having a lattice value within the correction lattice point.

In this case, the lattice value may be a predetermined value for each of the plurality of lattice points, and may be an error value or a measured value to which an actual measured value is normally applied.

The automatic correction apparatus 100 may further include a storage unit 140 that stores the grid information and the correction value for the arbitrary lattice point and updates and stores the information of the corrected lattice point. have.

Specifically, the setting input unit 110 can directly receive from the user not only the arbitrary lattice point and the correction value, but also the extended shape of the selected region and the error value with respect to the reference value or the deviation value with respect to the reference value. When the arbitrary lattice point is input through the setting input unit 110, the error range, the correction value, and the like for the arbitrary lattice point, together with the reference value for the arbitrary lattice point stored in the storage unit 140, To the control unit 120.

Here, the error range refers to a tolerance range with respect to the reference value in a range from a (+) maximum value obtained by adding the deviation value to the reference value to a minus (-) minimum value obtained by subtracting the deviation value from the reference value.

The type of the selection area input by the setting input unit 110 may be at least one of a cross shape, a box shape, and a radial shape, but is not limited thereto. At this time, the shape of the selection region can be selected differently according to the convenience of the user or the characteristics of the data constituting the finite difference lattice data and the purpose of the user. Alternatively, the shape of the selection region according to the type of the finite difference grating is stored in the storage unit 140, so that the shape of the selection region can be automatically set according to the image input by the user.

The lattice information generating unit 121 may generate the lattice information based on the information input from the setting input unit 110. [ At this time, the lattice information generating unit 121 estimates the size of the lattice information, compares the size of the lattice information with the size of the available memory, and adds the size of the data information and the logical variable corresponding to the size, A logical variable for selecting a logical value of true (1) or false (0) based on the error range for the reference value can be generated.

Here, the lattice information may include two-dimensional or three-dimensional coordinate information of the arbitrary lattice point, identification information of the object or landform, and all types of data having the form of a finite difference lattice. Therefore, when the grid information is three-dimensional or the size of the grid information calculated by the automatic correction apparatus 100 varies depending on the type of the identification information, and when the size of the grid information is relatively large, The automatic correction apparatus 100 may be burdened when performing the calculation.

The logical variable is a logical expression for selecting a logical value of true (1) or false (0) based on the error range. It is a logical expression for comparing and determining whether the lattice value set for the plurality of lattice points is within the error range Can,

For example, when the lattice value set in the plurality of lattice points is within the error range, a logical value of true is selected. If the lattice value is outside the error range, a false logical value is selected, . Alternatively, the logical variable may be generated based on the coordinate information and the identification information included in the grid information, without being limited to the error range.

Therefore, if the size of the lattice information is equal to or larger than the size of the available memory, the lattice information generator 121 may replace the lattice information with the logical variable and transmit the lattice information to the selection area determiner 122.

As described above, since the automatic correction apparatus 100 according to the present invention generates the logical variable, it has an effect of reducing the cost of the calculation process of correcting the lattice of the finite difference lattice data.

On the other hand, if the size of the lattice information plus the logical variable corresponding to the size of the lattice information is greater than or equal to the size of the available memory, the lattice information generator 121 does not generate the logical variable for replacing the lattice information, The lattice information can be used as it is in the selection area determination unit 122 as it is.

The selection region determining unit 122 may determine the correction lattice points by determining whether the lattice values set for the plurality of lattice points located within the selection region are within the error range with respect to the reference value.

That is, the selection region determining unit 122 determines whether the lattice values of the plurality of lattice points are within the error range using the lattice information received from the lattice information generating unit 121 or the logical variable for the lattice information can do.

The selection region selection unit 123 selects a lattice point whose lattice value is within the error range with respect to the reference value as a correction lattice point among the plurality of lattice points according to the determination of the selection region determination unit 122, Lattice points outside the non-selected error range can be excluded from the selection region.

At this time, the correction lattice points can be selected by detecting all of the lattice points having the lattice values within the error range through successive repetition operations of the selection region selection unit 123 and the selection region determination unit 122.

That is, the selection region selection section 123 can select the correction lattice point determined by the selection region determination section 122, and can transmit the information about the selected correction lattice point to the selection region determination section 122 . At this time, the selection region determining unit 122 repeats the operation of reselecting a plurality of adjoining lattice points centered on the selected correction lattice point by comparing the selection region having a certain shape and comparing and judging the error region Can be performed. This repetitive operation can be performed until a lattice point having a lattice value within the error range is not detected.

In addition, the selection region may extend in at least one of a cross shape, a box shape, and a radial shape, but is not limited thereto.

The correction processing unit 130 may apply the correction value received from the setting input unit 110 to the finally selected correction lattice point to perform correction at a time.

Therefore, the automatic correction apparatus 100 according to the present invention has an effect of improving the convenience of shortening the time for correcting the grating of the finite difference grating data and automating the correction of the grating.

In addition, the storage unit 140 may wirelessly or wiredly connect to various external servers that professionally measure information about the finite difference grating data, so that information about the finite difference grating data of various places desired by the user is stored To be collected.

Accordingly, the storage unit 140 may include a communication unit (not shown). The communication unit may be connected to at least one external server, and may be connected to the external server through Internet Protocol (UDP) or File Transfer Protocol (FTP) using a URL (Uniform Resource Locator) .

As described above, the automatic correction apparatus 100 according to the present invention provides a correction apparatus and method with improved processing speed and accuracy for grating correction of a finite difference grating data, thereby improving reliability in numerical simulation of finite difference grating data .

In addition, the automatic selection and correction apparatus 100 according to the present invention can easily correct information values of lattice points at the same time, so that the automatic selection and correction apparatus 100 can also be applied to an operation of changing grid information to have a constant value or a constant slope.

FIG. 2 is a flowchart illustrating a method of automatically correcting a finite difference grating data according to an embodiment of the present invention. FIG. 3 is a detailed flowchart illustrating a method of automatically correcting a finite difference grating data according to an embodiment of the present invention.

Referring to FIG. 2, an automatic correction method of a finite difference grating data includes a setting input step (S200) for receiving a first lattice point selected in an image having a lattice and a correction value for the first lattice point actually measured, Generating grid information including a reference value set at a first lattice point and an error range with respect to the reference value (S210), selecting a plurality of lattice points adjacent to the first lattice point, (S220) for comparing the plurality of lattice points located within the selected region with the lattice information, determining a second region among the plurality of lattice points having a lattice value within the error range of the lattice information, The selection of the lattice point (S230), the selection of the selected region (S220) and the selection of the selected region (S230) A selection region reselecting step S240 of detecting all lattice points having the correction lattice point and selecting a correction lattice point and a correction processing step S250 for applying the correction value to the selected correction lattice point to perform correction in a lump can do.

In particular, in the selection region reselecting step (S240), a plurality of lattice points adjacent to each other around the second lattice point are selected to expand the selection region, and among the plurality of lattice points located in the selection region, And a third lattice point having a lattice value within the error range is reselected to determine the corrected lattice point.

Referring to FIG. 3, in the setting input step, the first lattice point, which is an arbitrary lattice point, is selected and input in an image having a lattice (S300).

In the lattice information generation step, the lattice information including the reference value set at the first lattice point and the error range with respect to the reference value is generated and the size of the lattice information is estimated (S310).

At this time, the size of the lattice information is compared with the available memory size of the automatic correction apparatus (S320). Therefore, if a value obtained by adding the size of the lattice information and the size of the logical variable is less than the size of the available memory, a logical variable for selecting a logical value of true (1) or false (0) based on the error range for the reference value (S330).

Here, the logical variable may be a logical expression for selecting a true logical value if the lattice value set for the plurality of lattice points is within the error range, and selecting a false logical value if the lattice value is outside the error range.

In the selection region determination step, the first selection region is expanded by selecting a plurality of lattice points adjacent to the first lattice point in at least one of a cross shape, a box shape, and a radial shape (S340). Then, by applying the logical variable including the lattice information to the plurality of lattice points located in the first selection region, the second lattice point according to the logical variable is selected in the selection region selection step S340 ).

If the sum of the size of the lattice information and the size of the logical variable is equal to or larger than the size of the available memory, a plurality of lattice points adjacent to the first lattice point are selected without generating the logical variable, The selection area is expanded (S340). Then, the second lattice point having a lattice value within the error range is selected in the selection region selection step by comparing and comparing the lattice information with the plurality of lattice points located within the first selection region (S340) .

And selecting a plurality of lattice points adjacent to each other around the second lattice point by repeating the selection region determination step and the selection region selection step in the selection region reselection step, The selection area is expanded (S350).

In step S360, it is determined whether a lattice point having a lattice value within the error range of the lattice information is present among the plurality of lattice points located in the second selection area. At this time, it is possible to apply the logical variable replacing the lattice information to the plurality of lattice points located in the second selection region, or to compare the lattice information with the lattice information.

In this case, if there are no lattice points having a lattice value within the error range among the plurality of lattice points located in the second selection region, that is, if all correction lattice points having a lattice value within the error range are all selected, The correction value is applied to the correction grid point finally selected in the processing step and is collectively corrected (S390).

On the other hand, if there is a lattice point having a lattice value within the error range, a third lattice point having a lattice value within the error range is selected in the selection region selection step (S370) A plurality of adjacent lattice points around the three lattice points are selected to expand the third selection region for the third lattice point (S370).

Then, it is determined whether there is a lattice point having a lattice value within the error range of the lattice information among the plurality of lattice points located within the third selection region (S380).

At this time, if there is a lattice point having a lattice value within the error range, a fourth lattice point having a lattice value within the error range is selected in the selection region selection step (S370). In the selection region determination step, A plurality of lattice points adjacent to the lattice point are selected and a fourth selection region for the fourth lattice point is expanded (S370).

On the other hand, when none of the plurality of lattice points located in the third selection region has a lattice point having a lattice value within the error range, that is, when all of the lattice points having a lattice value within the error range are selected, The correction value is applied to the correction grid point finally selected in the processing step and is collectively corrected (S390).

FIG. 4A is an example of an automatic selection method of a finite difference grating data of the present invention according to a cross-shaped selection region for a two-dimensional finite difference grating data, FIG. 4B is an example of a cross- Is an example of an automatic selection method of the finite difference grating data of the present invention.

4A illustrates a method of selecting a first lattice point 41 as an arbitrary lattice point having two-dimensional coordinates in an image having a lattice in the setting input step, A method of expanding the first selection region 400 in a cross shape by selecting a plurality of lattice points adjacent to the first lattice point 41, that is, four lattice points, is shown.

4 (c) illustrates a method of selecting a second lattice point 42 having a lattice value within the error range in the selection region selection step, and FIG. 4 (d) A method of expanding the second selection region 410 with respect to the second lattice point 42 by newly selecting a plurality of lattice points adjacent to the lattice point 42, that is, five lattice points.

4B illustrates a method of selecting a first lattice point 41 as an arbitrary lattice point having three-dimensional coordinates in an image having a lattice in the setting input step, A method of extending the first selection region 400 in a cross shape by selecting a plurality of lattice points adjacent to each other around the first lattice point 41, that is, six lattice points, A method of extending the second selection region 410 in a cross shape by selecting a plurality of lattice points adjacent to each other around the second lattice point in the selection region determination step is shown.

FIG. 5A is an example of an automatic selection method of the finite difference grating data of the present invention according to a box-shaped selection region for a two-dimensional finite difference grating data, FIG. 5B is an example of a box- Is an example of an automatic selection method of the finite difference grating data of the present invention.

5A shows a method of selecting a first lattice point 51 as an arbitrary lattice point having two-dimensional coordinates in an image having a lattice in the setting input step, A method of expanding the first selection region 500 in a box shape by selecting a plurality of lattice points adjacent to the first lattice point 51, that is, eight lattice points, is shown.

5 (c) illustrates a method of selecting a second lattice point 52 having a lattice value within the error range in the selection region selection step, and FIG. 5 (d) A method of expanding the second selection region 510 with respect to the second lattice point 52 by newly selecting a plurality of lattice points adjacent to the lattice point 52, that is, ten lattice points.

5B illustrates a method of selecting a first lattice point 51, which is an arbitrary lattice point having three-dimensional coordinates, in an image having a lattice in the setting input step, (b) (C) shows a method of expanding the first selection region 500 in a box shape by selecting a plurality of lattice points adjacent to the first lattice point 51, that is, 26 lattice points, A method of expanding the second selection region 4510 in a box shape by selecting a plurality of lattice points adjacent to each other around the second lattice point in the region determination step is shown.

6 is an example of a selection region reselecting step of a method of automatically correcting three-dimensional finite difference grating data according to an embodiment of the present invention.

FIG. 6 (a) illustrates a method of expanding a first selection region by selecting a plurality of adjacent grid points around a first grid point, which is a three-dimensional coordinate selected in the setting input step, And selecting the second lattice point having a lattice value within the error range.

FIG. 6 (b) is a diagram for explaining a method for expanding a second selection region by selecting a plurality of adjacent lattice points around the second lattice point in the selection region determination step, And selecting the third lattice point having a lattice value within an error range.

FIG. 6C is a diagram for explaining the case where the third selection region is expanded by selecting a plurality of adjacent lattice points around the third lattice point in the selection region determination step, and in the selection region selection step, And selecting the fourth lattice point having a lattice value within an error range.

FIG. 6 (d) illustrates a method for expanding a fourth selection region by selecting a plurality of lattice points adjacent to each other around the fourth lattice point in the selection region determination step, and in the selection region selection step, And selecting the fifth lattice point having a lattice value within an error range.

7 is an image in which a method of automatically correcting 2D finite-difference grating data according to an embodiment of the present invention is actually applied to a GUI (Graphic User Interface) program.

7 (a) to (c) are views showing an example of correcting a coastal breakwater as a manmade structure through a GUI program in a time-series manner. 7 (a) shows a setup input step of receiving a correction value for a first lattice point selected in an image having a lattice and an actually measured first lattice point, and a reference value set for the first lattice point and a reference value And generating lattice information including an error range for the lattice information.

 FIGS. 7 (b) and 7 (c) illustrate a case where a plurality of lattice points adjacent to each other around the first lattice point are selected to expand a selected area, and the plurality of lattice points located within the selected area are compared with the lattice information Selecting a second lattice point having a lattice value within the error range of the lattice information from among the plurality of lattice points; and a second lattice point selecting step of selecting Selecting all of the lattice points having a lattice value within the error range through repeated execution to select the corrected lattice points.

FIG. 7 (d) shows that the lattice value of the coastal breakwater is corrected to the correction value because it is an example of a correction processing step of collectively performing correction by applying the correction value to the selected correction lattice point.

As described above, the apparatus and method for automatically correcting finite difference lattice data according to the present invention can be used for all data modification using finite difference lattice information of constantly or regularly varying intervals. In particular, Evaluation, earthquake and storm surge evaluation.

Therefore, according to the present invention, there is an effect of improving the reliability in carrying out the numerical simulation of the finite difference lattice data, and the time for correcting the lattice of the finite difference lattice data is shortened and automated. There is also an effect of reducing the cost of the arithmetic processing for correcting the lattice of the finite difference lattice data.

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

It is also to be understood that the terms such as " comprises, "" comprising," or "having ", as used herein, mean that a component can be implanted unless specifically stated to the contrary. But should be construed as including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: Automatic correction device of finite difference lattice data
110: setting input unit 120:
121: Grid information generating unit 122:
123: Selection area selection part
130:
140:

Claims (10)

A setting input unit for receiving a correction value for an arbitrary lattice point selected in an image having a lattice and an actually measured lattice point;
A lattice information generator for generating lattice information including a reference value set for the arbitrary lattice point and an error range for the reference value;
A selection region determining unit for selecting a plurality of adjacent lattice points around the arbitrary lattice point to expand the selected region and comparing the plurality of lattice points located within the selected region with the lattice information;
A selection region selection unit for selecting, from the plurality of lattice points, a correction lattice point having a lattice value within the error range of the lattice information; And
A correction processing unit for applying the correction value to the selected correction lattice point and collectively performing correction; A device for automatically correcting finite difference lattice data.
The method according to claim 1,
And a storage unit for storing the grid information and the correction value for the arbitrary lattice points and updating and storing information of the corrected lattice points.
The method according to claim 1,
The set-
And an automatic correction device for finite difference lattice data that receives the extended shape of the selected area and the error range with respect to the reference value.
The method of claim 3,
Wherein the selection region extends into at least one of a cross shape, a box shape, or a radial shape.
The method according to claim 1,
Wherein the lattice information includes two-dimensional or three-dimensional coordinate information of the arbitrary lattice point and identification information of the object or terrain.
The method according to claim 1,
Wherein the lattice information generating unit comprises:
A logical variable for selecting a logical value of true (1) or false (0) based on the error range for the reference value by comparing the size of the lattice information with the size of the available memory, estimating the size of the lattice information, Automatic correction of finite difference lattice data to generate Logical Variable.
The method according to claim 6,
Wherein the lattice information generating unit comprises:
And replacing the grid information with the logical variable if the size of the grid information is less than the size of the available memory.
The method according to claim 1,
The selection region determining unit may determine,
And determining the corrected lattice points by determining whether the lattice values set for the plurality of lattice points are within the error range with respect to the reference value.
A setting input step of receiving a first lattice point selected in an image having a lattice and a correction value for the actually measured first lattice point;
A grid information generating step of generating grid information including a reference value set at the first lattice point and an error range with respect to the reference value;
Selecting a plurality of lattice points adjacent to each other around the first lattice point to expand the selected area and comparing the plurality of lattice points located within the selected area with the lattice information;
Selecting a second lattice point having a lattice value within the error range of the lattice information among the plurality of lattice points;
Selecting a correction lattice point by detecting all lattice points having a lattice value within the error range through repetition of the selection region determination step and the selection region selection step; And
And correcting the selected correction lattice point by applying the correction value to the selected correction lattice point.
10. The method of claim 9,
In the selection region reselecting step,
A plurality of lattice points adjacent to each other around the second lattice point are selected to expand the selection region, and among the plurality of lattice points located in the selection region, a third lattice point having a lattice value within the error range of the lattice information And automatically reselecting the lattice points to determine the corrected lattice points.

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