KR101324748B1 - Apparatus and method for calculating height of hill using regression analysis - Google Patents

Abstract

The present invention relates to an apparatus and method for calculating the height of a hill using regression analysis. The apparatus for calculating the height of the hill according to the present invention includes: an information collecting unit which collects the location and height information of a plurality of points in an object area; a regression equation producing unit which produces a regression equation using the regression analysis based on the location and height information; and a height calculating unit which calculates the height of the hill by using the location and height information and the regression equation. [Reference numerals] (10) Communication unit;(11) Processing unit;(111) Information collecting unit;(112) Reggression equation calculating unit;(113) Peak height calculating unit;(12) Storage unit;(13) Input unit;(200) Geographic information providing server;(AA) Network

Description

APAPATUS AND METHOD FOR CALCULATING HEIGHT OF HILL USING REGRESSION ANALYSIS}

The present invention relates to an apparatus and method for estimating peak height using regression analysis.

The influence of wind in the design of buildings is one of the items to be considered. Wind characteristics, such as wind speed or wind direction, are heavily influenced by the surrounding topography, which can jeopardize the safety of the building if the wind speed is accelerated by the surrounding topography. Therefore, it is required to reflect the work in the building design in consideration of the change in the wind speed according to the surrounding topography.

In order to consider the change of wind speed due to the terrain, the topographic coefficient is introduced when calculating the design wind speed. The topographic coefficient is set to 1.0 for areas that do not affect the wind, such as plains, but greater than 1.0 for areas that change wind speed, such as mountains, hills, or slopes.

When calculating the topographic coefficient, the height of the vertex is calculated by calculating the difference between the height of the point corresponding to the vertex and the height of the point corresponding to the surface of the target area. However, in the past, no clear criteria for determining the surface of a given target area have been proposed. As a result, the ground surface is determined differently according to the designer for the same target region, and this causes a problem that the vertex height of the target region is calculated differently for each designer.

One embodiment of the present invention is to provide a vertex height estimation apparatus and method for more objectively and reasonably calculating a vertex height with respect to a target area.

Vertex height estimation apparatus according to an embodiment of the present invention, the information collecting unit for collecting the position and height information of a plurality of points in the target area; A regression equation calculating unit configured to calculate a regression equation using regression analysis based on the position and height information; And vertex height calculation unit for calculating vertex height using the position and height information and the regression equation.

The peak height estimating apparatus may further include a storage unit which stores geographic information about the target area.

The peak height estimating apparatus may further include a communication unit connected to a server providing geographic information about the target area.

Geographic information for the target area includes: a digital map of the target area; A digital elevation model (DEM) of the target area; And survey data obtained by surveying the target area; Or the like.

The survey data may be obtained using at least one of: a ground survey, a GPS survey, an aerial survey, a radar survey, and a LiDAR survey.

The information collecting unit may retrieve geographic information stored in the storage unit and collect the position and height information.

The information collecting unit may receive geographic information from the server and collect the position and height information.

The information collecting unit may allocate a plurality of points to the target area at regular intervals and collect position and height information of the allocated points.

The regression equation calculating unit may calculate the regression equation based on location and height information of some of the plurality of points.

The regression equation calculating unit may calculate the regression equation based on location and height information of a point corresponding to a predetermined number or ratio among the plurality of points.

The regression equation calculating unit: calculates a frequency distribution for the height of the plurality of points, select a point having a height belonging to the largest rank in the frequency distribution, and based on the position and height information of the selected point The regression equation can be calculated.

The regression equation calculating unit: calculates a frequency distribution for the height of the plurality of points, selects a point having a height belonging to the lowest rank in the frequency distribution, and based on the position and height information of the selected point Equation can be calculated.

The regression equation calculating unit may calculate the regression equation by setting position information of the some points as an independent variable and setting height information of the some points as a dependent variable.

The vertex height calculation unit: selects the highest point among the plurality of points, and calculates the vertex height by subtracting the height obtained by substituting the position information of the highest point into the regression equation from the height of the highest point. can do.

In the vertex height estimation method according to an embodiment of the present invention, the vertex height may be calculated by regression analysis of position and height information of a plurality of points in the target area.

Computing the height of the vertex includes: collecting position and height information of a plurality of points in the target area; Calculating a regression equation using regression analysis based on the position and height information; And calculating the height of a vertex using the position and height information and the regression equation.

The collecting of the position and height information may include: importing geographic information about the target area stored in a storage unit.

The collecting of the position and height information may include: accessing a server providing geographic information about the target area; And receiving the geographic information from the server.

The calculating of the regression equation includes: selecting some points from the plurality of points; And calculating the regression equation based on the position and height information of the some points.

Selecting some points from the plurality of points may include: selecting a point corresponding to a predetermined number or ratio among the plurality of points.

Selecting some points from the plurality of points comprises: calculating a frequency distribution for the heights of the plurality of points; And selecting a point having a height belonging to the largest rank in the frequency distribution.

Selecting some points from the plurality of points comprises: calculating a frequency distribution for the heights of the plurality of points; And selecting a point having a height belonging to the lowest rank in the frequency distribution.

The calculating of the regression equation based on the position and height information of the some points may include: setting the position information of the some points as an independent variable and setting the height information of the some points as a dependent variable to calculate the regression equation. It may include the step.

The step of estimating the height of the peak includes: selecting a highest point among the plurality of points; Calculating the surface height by substituting the position information of the highest point into the regression equation; And subtracting the ground surface height from the height of the highest point.

Vertex height estimation method according to an embodiment of the present invention is implemented as a computer executable program, it can be recorded on a computer-readable recording medium.

According to an embodiment of the present invention, the peak height may be more objectively and reasonably calculated when the topographic coefficient is calculated.

1 is a block diagram of a vertex height calculation apparatus according to an embodiment of the present invention.
2 is a diagram illustrating an example of a target area for calculating a peak height according to an embodiment of the present invention.
3 is a diagram illustrating another example of a target area for calculating a peak height according to an embodiment of the present invention.
4 is a diagram illustrating still another example of a target area for calculating a peak height according to an embodiment of the present invention.
FIG. 5 is a frequency distribution diagram illustrating a frequency distribution calculated for heights of a plurality of points in a target area according to an exemplary embodiment of the present invention. FIG.
6 is a diagram illustrating a process of calculating a regression equation based on position and height information of a plurality of points according to an embodiment of the present invention.
7 is a diagram illustrating a process of estimating the height of a vertex using a regression equation according to an embodiment of the present invention.
8 is a view for explaining a peak height calculation method according to an embodiment of the present invention.

Other advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims.

Unless defined otherwise, all terms (including technical or scientific terms) used herein have the same meaning as commonly accepted by the generic art in the prior art to which this invention belongs. Terms defined by generic dictionaries may be interpreted to have the same meaning as in the related art and / or in the text of this application, and may be conceptualized or overly formalized, even if not expressly defined herein I will not.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. As used herein, the terms' comprise 'and / or various forms of use of the verb include, for example,' including, '' including, '' including, '' including, Steps, operations, and / or elements do not preclude the presence or addition of one or more other compositions, components, components, steps, operations, and / or components. The term 'and / or' as used herein refers to each of the listed configurations or various combinations thereof.

It should be noted that the terms such as '~', '~ period', '~ block', 'module', etc. used in the entire specification may mean a unit for processing at least one function or operation. For example, a hardware component, such as a software, FPGA, or ASIC. However, '~ part', '~ period', '~ block', '~ module' are not meant to be limited to software or hardware. Modules may be configured to be addressable storage media and may be configured to play one or more processors. ≪ RTI ID = 0.0 >

Thus, by way of example, the terms 'to', 'to', 'to block', 'to module' refer to components such as software components, object oriented software components, class components and task components Microcode, circuitry, data, databases, data structures, tables, arrays, and the like, as well as components, Variables. The functions provided in the components and in the sections ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ' , '~', '~', '~', '~', And '~' modules with additional components.

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

In building design, the design wind speed is calculated to calculate the design load by wind. On the other hand, the design wind speed proposed in KBC 2009 can be calculated by the following equation:

In the above equation, V ₀ is the basic wind speed in the region, K _zr is the wind speed altitude distribution coefficient, K _zt is the terrain coefficient to take into account the influence of the terrain, I _w is the importance coefficient of the building to be.

The wind velocity altitude distribution coefficient (K _zr ) is given in Table 1 below considering the surface roughness of the building site and the corresponding height of the atmospheric boundary layer starting point (Z _b ), the height of the reference draft wind (Z _g ) and the wind speed altitude distribution index Lt; / RTI >

In addition, the atmospheric boundary layer starting height (Z _b ), the reference hard wind height (Z _g ) and the wind speed altitude distribution index (α) are determined as shown in Table 2 according to the surface roughness.

The surface roughness proposed in KBC 2009 is classified as shown in Table 3 according to the surface condition of the area around the construction site.

The geomorphic coefficient (K _zt ) is a factor that takes account of the wind speed addition by the topography, and is set to 1.0 in areas that do not affect the wind like flat land. However, in areas where a wind velocity premium is required, such as mountains, hills, and slopes, the terrain factor can be calculated by the following equation:

The basic wind speed (V ₀ ) is the local wind velocity applied to the design wind speed as a default, and is the wind speed corresponding to the 100-year repetition period of the average wind speed for 10 minutes at the ground surface height of 10 m at the ground surface roughness C. The basic wind speed is calculated as follows according to the location where the construction site is located. However, if the construction site is located between the wind speed lines, the values between the wind speed lines can be interpolated.

The importance coefficient (I _w ) is a coefficient representing the safety factor according to the years of use of the building, and is calculated as follows considering the importance of the building:

One embodiment of the present invention provides an apparatus and method for estimating the height of the vertex used to calculate the topographic coefficient (K _zt ) of the above parameters for _obtaining the design wind speed. The apparatus and method for calculating the height of a peak according to an embodiment of the present invention may calculate the height of the vertex of the target area by regression analysis of the position and height information of a plurality of points in the target area for calculating the topographic coefficient.

1 is a block diagram showing a vertex height calculation apparatus according to an embodiment of the present invention.

As illustrated in FIG. 1, the peak height estimating apparatus 100 may include an information collecting unit 111, a regression equation calculating unit 112, and a peak height calculating unit 113. The information collecting unit 111 may collect position and height information of a plurality of points in the target area. The regression equation calculating unit 112 may calculate a regression equation using regression analysis based on the position and height information. The vertex height calculation unit 113 may calculate the vertex height by using the position and height information and the regression equation.

According to an embodiment of the present invention, the peak height estimating apparatus 100 may further include a storage unit 12. The storage unit 12 may store geographical information on the target area. For example, the storage unit 12 may store at least one of a digital map of the target area, a digital elevation model (DEM) of the target area, and survey data obtained by surveying the target area. . The measurement data may be data obtained using at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey, but the survey method for obtaining the survey data is not limited thereto .

According to an embodiment, the information collecting unit 111 may retrieve geographic information stored in the storage unit 12 and collect location and height information of a plurality of points in the target area.

According to another embodiment of the present invention, the peak height estimating apparatus 100 may further include a communication unit 10. The communication unit 10 may be connected to a server providing geographical information on the target area.

For example, as illustrated in FIG. 1, the communication unit 10 may access a server 200 that provides geographic information through a wired or wireless network, for example, a geographic information system (GIS), and the information collection unit. 111 may receive geographic information about a target area from the server 200 and collect location and height information.

The geographic information on the target area provided by the server 200 may include at least one of a digital map of the target area, a digital elevation model (DEM) of the target area, and survey data obtained by surveying the target area. It may include one. The measurement data may be data obtained using at least one of a ground survey, a GPS survey, an aerial photogrammetry, a radar survey and a LiDAR survey, but the survey method for obtaining the survey data is not limited thereto .

2 is a diagram illustrating an example of a target area for calculating a peak height according to an embodiment of the present invention.

As shown in FIG. 2, the target area 20 may be a circular area having a predetermined radius with respect to the center 21 at a predetermined point. According to an embodiment, the target area 20 may be a circular area having a radius of a length smaller than 40 times the height of the building and 3 km based on the construction point of the building, but the shape or size of the area may be It is not limited and may have any shape or size. For example, the target area may be a polygonal area or a fan-shaped area.

According to an embodiment of the present invention, the information collecting unit 111 allocates a plurality of points x to the target area 20 at regular intervals, and provides information on the position and height of the allocated points x. Can be collected. In other words, as illustrated in FIG. 2, the plurality of points x may be allocated to be uniformly distributed in the target area 20.

However, as shown in FIG. 3, the plurality of points x may be unevenly distributed in the target area 20.

4 is a diagram illustrating still another example of a target area for calculating a peak height according to an embodiment of the present invention.

As shown in FIG. 4, the target area 20 in which a plurality of points are allocated and the position and height information is collected may be the upside and downside slopes. The information collecting unit 111 may allocate a plurality of points (x) at regular intervals to the wind and side slopes, and collect position and height information of the allocated points.

According to an embodiment of the present invention, the peak height estimating apparatus 100 may further include an input unit 13. The input unit 13 may receive data for setting the target area 20 from a user who uses the vertex height calculating device 100.

For example, in order to set the target area 20 shown in Fig. 2, the user inputs data specifying the construction point of the building, for example, latitude and longitude data of the construction point through the input unit 13, Can be input. Then, the information collecting unit 111 may set a circular area having a radius of a smaller length among 40 times and 3 km of the height of the building around the input construction site 21 as the center 21, but the shape of the area The size is not limited to this. According to an embodiment, the shape or size of the target area may be input by the user through the input unit 14.

In addition, the data designating the construction point of the building is not limited to the latitude and longitude data of the construction point, and may include the building number of the construction point, GPS data, and the like according to the embodiment.

The regression equation calculation unit 112 may calculate a regression equation using regression analysis based on the collected position and height information.

According to an embodiment of the present invention, the regression equation calculating unit 112 may calculate the regression equation based on the position and height information of some of the points. In other words, the regression equation calculating unit 112 may perform regression analysis on only a part of the plurality of points.

According to an embodiment, the regression equation calculating unit 112 may calculate a regression equation based on location and height information of a point corresponding to a predetermined number or ratio among the plurality of points. According to an embodiment, the user may input the number or ratio of points used for regression analysis through the input unit 13.

According to another embodiment, the regression equation calculating unit 112 may select a point to be used for regression analysis from the plurality of points using the frequency distribution.

For example, the regression equation calculating unit 112 calculates a frequency distribution for the height of the plurality of points, selects a point having a height belonging to the largest class in the frequency distribution, and selects the selected point. A regression equation can be calculated based on the location and height information of.

FIG. 5 is an example of a frequency distribution diagram showing a frequency distribution calculated for heights of a plurality of points in a target area according to an embodiment of the present invention.

As shown in FIG. 5, the regression equation calculating unit 112 may calculate the frequency distribution with respect to the height of a plurality of points. According to the frequency distribution diagram shown in FIG. 5, the heights of the plurality of points were graded into a class having a size of 9 m, and the rank 2 power was the largest among the four classes.

In this embodiment, the regression equation calculating unit 112 may select a point having a height belonging to class 2, which is the largest class among a plurality of points. Then, the regression equation calculating unit 112 may calculate the regression equation based on the position and height information of the selected point.

According to another embodiment, the regression equation calculating unit 112 may select a point having a height belonging to the lowest rank in the frequency distribution, and calculate a regression equation based on the position and height information of the selected point.

For example, in the case of the frequency distribution diagram shown in FIG. 5, the regression equation calculating unit 112 may select a point having a height belonging to a class 1 which is the lowest rank among a plurality of points. Then, the regression equation calculating unit 112 may calculate the regression equation based on the position and height information of the selected point.

The regression equation calculating unit 112 may calculate the regression equation by setting position information of the selected point as an independent variable and setting the height information as a dependent variable.

6 is a diagram illustrating a process of calculating a regression equation based on location and height information of a selected point according to an embodiment of the present invention.

As shown in FIG. 6, according to one embodiment of the present invention, the regression equation calculating unit 112 regresses the position and height information (x, y, z) of the selected points P ₁ to P ₆ . The regression equation can be calculated as follows:

z _i = a ₀ + a ₁ x _i + a ₂ y _i + e _i

The regression equation may be an equation representing the plane 30 shown in FIG. 6.

According to one embodiment, the regression equation calculating unit 112 is a ₀ , which minimizes the sum of squares of the error e _i as follows. a ₁ , We can compute a ₂ :

To this end, the regression equation calculating unit 112 is S _r unknown unknown a ₀ , a ₁ , With partial derivatives for each of a ₂ , the following system of equations can be obtained:

The system of equations can be represented by the following determinant:

For example, the position and height information (x, y, z) of the points (P ₁ to P ₆ ) is P ₁ (0, 0, 5), P ₂ (2, 1, 10), P ₃ (2.5, 2 , 9), P ₄ (1, 3, 0), P ₅ (4, 6, 3), P ₆ (7, 2, 27), the elements constituting the matrix can be calculated as :

Point x y z x ² y ² xy xz yz One 0 0 5 0 0 0 0 0 2 2 One 10 4 One 2 20 10 3 2.5 2 9 6.25 4 5 22.5 18 4 One 3 0 One 9 3 0 0 5 4 6 3 16 36 24 12 18 6 7 2 27 49 4 14 189 54 Sum 16.5 14 54 76.25 54 48 243.5 100

Substituting the computed element into the matrix looks like this:

Then, using the Gauss elimination method, the unknown a ₀ , a ₁ , ask for a ₂ is calculated as _{a 0 = 5, a 1 =} 4, a 2 = -3.

Therefore, the planar equation obtained by regression analysis of the points (P ₁ to P ₆ ) is as follows:

z = 5 + 4x-3y

As described above, the regression equation calculating unit 112 sets position information (x, y) of some points P ₁ to P ₆ selected from a plurality of points as independent variables, and sets height information z as dependent variables. Can be set to calculate the regression equation.

The vertex height calculation unit 113 may calculate the vertex height by using the calculated regression equation and position and height information of a plurality of points collected by the information collecting unit 111.

According to an embodiment of the present invention, the vertex height calculation unit 113 selects the highest point among a plurality of points, obtains the height of the ground surface by substituting the position information of the highest point into the regression equation, The height of the vertex can be calculated by subtracting the height of the ground surface from the height of the highest point.

7 is a diagram illustrating a process of estimating the height of a vertex using a regression equation according to an embodiment of the present invention.

Referring to FIG. 7, the vertex height calculation unit 113 may select the highest point P _h among a plurality of points at which location and height information is collected by the information collecting unit 111. Then, the vertex height calculation unit 113 may calculate the height of the ground surface z _g by substituting the position information (x _h , y _h ) of the highest point P _h into a regression equation. Then, the vertex height calculation unit 113 may calculate the vertex height H by subtracting the height z _g of the ground surface from the height z _h of the highest point.

The information collecting unit 111, the regression equation calculating unit 112, and the vertex height calculation unit 113 execute a algorithm for calculating the vertex height to calculate and output the vertex height for a predetermined target area. For example, it may be configured as a CPU.

8 is a view for explaining a peak height calculation method according to an embodiment of the present invention.

The vertex height estimation method 300 may calculate the vertex height by regression analysis of position and height information of a plurality of points in the target area. According to an embodiment of the present invention, the method for calculating the height of the peak 300 collects position and height information of a plurality of points in a target area (S31), and uses regression analysis based on the position and height information. Calculating a regression equation (S32), and calculating a vertex height using the position and height information and the regression equation (S33).

According to an embodiment of the present disclosure, the collecting of the position and height information (S31) may include retrieving geographic information about the target area stored in the storage unit 12.

According to another embodiment of the present invention, the step of collecting the position and height information (S31), the step of connecting to the server 200 for providing geographic information for the target area, and the geographic from the server 200 Receiving information.

The geographic information about the target area may include at least one of a digital map of the target area, a digital elevation model (DEM) of the target area, and survey data obtained by surveying the target area. The survey data may be data obtained by surveying the target area using at least one of a ground survey, a GPS survey, an aerial survey, a radar survey, and a LiDAR survey, but the survey method is not limited thereto. Do not.

The calculating of the regression equation (S32) may include selecting some points from a plurality of points, and calculating a regression equation based on the position and height information of the some points.

According to an embodiment of the present disclosure, the step of selecting some points from the plurality of points may include selecting a point corresponding to a predetermined number or ratio among the plurality of points. The number or ratio may be preset in the vertex height calculating device 100 or may be input by the user through the input unit 13.

According to another embodiment of the present invention, the step of selecting a portion of the plurality of points, the step of calculating the frequency distribution for the height of the plurality of points, and the frequency distribution in the frequency distribution belongs to the largest rank Selecting a point having a may include.

According to another embodiment of the present invention, the step of selecting some points from the plurality of points, calculating the frequency distribution for the height of the plurality of points, and the height belonging to the lowest rank in the frequency distribution And selecting a point to have.

The calculating of the regression equation based on the position and height information of the some points may include setting the position information (x, y) of the some points as an independent variable and setting the height information z as a dependent variable. Calculating an equation.

Apparatus and method for estimating the height of a peak according to an embodiment of the present invention assume that the regression equation is an equation representing the ground surface of the target area, and vertex of the target area based on the regression equation and the position and height information of the plurality of points. The height can be calculated.

According to one embodiment, the step of calculating the height of the vertex (S33), the step of selecting the highest point among the plurality of points, by substituting the position information of the highest point into the regression equation to calculate the ground surface height And subtracting the ground surface height from the height of the highest point.

The vertex height estimation method 300 according to an embodiment of the present invention described above may be manufactured as a program for execution in a computer and stored in a computer-readable recording medium. The computer-readable recording medium includes all kinds of storage devices in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like.

The above has been described an apparatus and method for collecting vertex height by collecting position and height information of a plurality of points in a target area for calculating a topographic coefficient and regressing the collected position and height information.

According to the vertex height estimating apparatus and method, it is possible to prevent the vertex height from being calculated differently for each designer for the same region, so that the vertex height can be objectively and quantitatively calculated.

100: peak height estimator
10:
111: Information collecting section
112: regression equation calculation unit
113: peak height mountain government
12:
13:

Claims (19)

An information collecting unit for collecting position and height information of a plurality of points in a target area;
Based on the position and height information, a regression equation for calculating the surface height is calculated using regression analysis. After selecting some points from the plurality of points, the position information of the some points is obtained by z _i = a ₀ + a ₁ x _i + a ₂ y _i + e _i the independent variable in the x _i and y is set to _i, and sets the height information of the some point as the dependent variable z _i du, that the sum of squares of the errors e _i to minimize a A regression equation calculating unit calculating the regression equation by calculating ₀ , a _1, and a ₂ ; And
Calculate the height of the vertex using the position and height information and the regression equation, select the highest point among the plurality of points, and then, from the height of the highest point, position information of the highest point into the regression equation. A vertex height calculation unit for calculating the vertex height by subtracting the height obtained by substitution;
Of the vertex height. The method of claim 1,
Wherein the information collecting unit comprises:
A vertex height estimation apparatus for allocating a plurality of points to the target area at regular intervals and collecting position and height information of the allocated points. delete The method of claim 1,
The regression equation calculating unit:
An apparatus for estimating the height of a vertex based on the position and height information of a point corresponding to a predetermined number or ratio among the plurality of points. The method of claim 1,
The regression equation calculating unit:
Calculating a frequency distribution of the height of the plurality of points,
Select a point having a height in the frequency distribution that belongs to the largest rank,
An apparatus for estimating the height of a vertex based on the position and height information of the selected point. The method of claim 1,
The regression equation calculating unit:
Calculating a frequency distribution of the height of the plurality of points,
Select a point with a height belonging to the lowest rank in the frequency distribution,
An apparatus for estimating the height of a vertex based on the position and height information of the selected point. delete delete delete Collecting position and height information of a plurality of points in the object area;
Calculating a regression equation for obtaining a surface height by using regression analysis based on the position and height information; And
Computing the height of the vertex using the position and height information and the regression equation,
The step of calculating the regression equation is:
Selecting some points from the plurality of points;
Set the positional information of the some points to the independent variables x _i and y _i in z _i = a ₀ + a ₁ x _i + a ₂ y _i + e _i , and set the height information of the some points to the dependent variable z _i . Making; And
Calculating a regression equation by calculating a ₀ , a ₁ and a ₂ which minimize the sum of squares of the errors e _i ,
The step of estimating the vertex height comprises:
Selecting the highest point among the plurality of points;
Calculating the surface height by substituting the position information of the highest point into the regression equation; And
Subtracting the surface height from the height of the highest point. 11. The method of claim 10,
The step of collecting the position and height information comprises:
And invoking geographic information on the target area stored in a storage unit. 11. The method of claim 10,
The step of collecting the position and height information comprises:
Accessing a server that provides geographic information about the target area; And
Receiving the geographic information from the server;
Vertex height calculation method comprising a. delete 11. The method of claim 10,
Selecting some points from the plurality of points includes:
And selecting a point corresponding to a predetermined number or ratio among the plurality of points. 11. The method of claim 10,
Selecting some points from the plurality of points includes:
Calculating a frequency distribution for the heights of the plurality of points; And
Selecting a point having a height in the frequency distribution that belongs to the largest rank;
Vertex height calculation method comprising a. 11. The method of claim 10,
Selecting some points from the plurality of points includes:
Calculating a frequency distribution for the heights of the plurality of points; And
Selecting a point having a height belonging to the lowest rank in the frequency distribution;
Vertex height calculation method comprising a. delete delete A computer-readable recording medium,
A recording medium having recorded thereon a program for executing the method for estimating the height of a peak according to any one of claims 10 to 12 and 14 to 16.

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