KR102578162B1 - Method for providing recommended drone photographing spot information, server and system using the same - Google Patents

Abstract

A method of providing recommended drone filming location information according to an embodiment of the present invention includes the steps of generating filming area data for an area where drone filming is legally possible based on drone no-fly zone data, and the generated filming area Based on the data, collecting satellite image data corresponding to an area where drone shooting is legally possible, extracting candidate shooting areas based on the collected satellite image data, paper characteristics of the extracted shooting candidate area, and It includes clustering candidate shooting areas based on environmental characteristics and providing recommended drone shooting location information to the user based on the clustered groups.

Description

Method of providing recommended drone filming locations, server and system using the same {METHOD FOR PROVIDING RECOMMENDED DRONE PHOTOGRAPHING SPOT INFORMATION, SERVER AND SYSTEM USING THE SAME}

The present invention relates to a method of providing recommended drone filming location information, and a server and system using the same. More specifically, the present invention relates to extracting a filming area based on drone no-fly zone data, and extracting a filming area based on satellite image data of the filming area. It relates to a method for extracting candidate shooting areas and providing recommended drone shooting location information to users using the shooting candidate areas clustered based on paper characteristics and environmental characteristics, as well as a server and system using the same.

A drone refers to an unmanned flying device or unmanned aerial vehicle that can navigate without an operator on board.

Drones appeared when training biplanes carrying people were converted into unmanned aerial vehicles for anti-aircraft fire training. As technology gradually advances, it has been mainly developed and operated for military purposes such as reconnaissance, transportation, and attack.

Recently, drone products of various sizes and performances have been appearing for military purposes, and ultra-small drones are also being commercialized for personal hobby activities. Some drones have a filming function, so filming using drones is also gradually becoming more active.
(Patent Document 1) Korean Patent Publication No. 10-2018-0117967 (2018.10.30)
(Patent Document 2) Korean Patent Publication No. 10-2166451 (2020.10.08)

The technical task to be achieved by the present invention is to extract a shooting area based on drone no-fly zone data, extract shooting candidate areas based on satellite image data of the shooting area, and clustering areas based on site characteristics and environmental characteristics. The goal is to provide a method that can provide recommended drone shooting locations to users using shooting candidate areas, as well as a server and system that uses this method.

A method of providing drone filming location recommendation information according to an embodiment of the present invention involves a drone filming location recommendation information providing server generating filming area data for areas where drone filming is legally permitted based on drone no-fly zone data. A step of collecting, by the drone shooting location recommendation information providing server, satellite image data corresponding to an area where drone shooting is legally possible based on the generated shooting possible area data, the drone shooting location recommendation information providing server, A step of extracting shooting candidate areas based on the collected satellite image data, the drone shooting location recommendation information providing server, grouping the shooting candidate areas based on paper characteristics and environmental characteristics of the extracted shooting candidate areas, and The drone filming location recommendation information providing server may include a step of providing drone filming location recommendation information to the user based on the clustered groups.

Depending on the embodiment, the drone no-fly zone data is collected by the drone filming location recommendation information providing server, and may include information about the no-fly zone and restricted flight zone, and information about the no-fly time zone.

Depending on the embodiment, the photographable area data may include information about the location, altitude, and range of the area where drone photography is possible, and information about the time zone during which drone photography is possible.

Depending on the embodiment, the satellite image data may include hyperspectral image data.

Depending on the embodiment, the step of extracting the shooting candidate areas may extract the shooting candidate areas based on the collected satellite image data and weather information corresponding to the area where drone shooting is legally possible.

Depending on the embodiment, the weather information may include at least one of temperature, humidity, wind direction, wind speed, precipitation probability, precipitation type, air quality, fine dust concentration, ultrafine dust concentration, and earth magnetic field strength.

According to the embodiment, the step of extracting the shooting candidate areas may include extracting areas with weather conditions suitable for flying a drone according to the weather information within the area where drone shooting is legally possible as the shooting candidate areas. there is.

Depending on the embodiment, the step of clustering the imaging candidate regions may be performed using a convolutional neural network (CNN).

According to an embodiment, the step of clustering the shooting candidate areas includes determining, by the drone shooting location recommendation information providing server, the paper characteristics according to the purpose of the shooting candidate area based on the extracted location of the shooting candidate area. It may further include.

According to an embodiment, the step of clustering the shooting candidate areas includes the drone shooting location recommendation information providing server analyzing the vegetation index from the satellite image data corresponding to the extracted shooting candidate area, and the distribution of the analyzed vegetation index. It may include determining the environmental characteristics based on the characteristics.

According to an embodiment, the step of providing recommended drone shooting locations to the user includes searching for a first recommended drone shooting location based on the user's location and the user's drone shooting history, and the searched first recommended drone shooting location and It may include providing recommended drone filming location information, including second recommended drone filming locations clustered in the same group.

According to an embodiment, the step of searching for the first recommended drone shooting location may include, based on the user's drone shooting history, among drone shooting locations that the user has previously taken photos of and drone shooting locations that have similar land characteristics and environmental characteristics. , a drone shooting location within a first reference distance from the user's location can be selected as a first recommended drone shooting location.

Depending on the embodiment, the first reference distance may be set based on the density of the area where drone photography is legally possible within a range within the second reference distance from the user's location.

The drone filming location recommendation information providing server according to an embodiment of the present invention includes a filming area extraction module that generates filming area data for areas where drone filming is legally possible based on drone no-fly zone data, and the generated Based on the available shooting area data, a shooting candidate area extraction module that collects satellite image data corresponding to an area where drone shooting is legally possible and extracts shooting candidate areas based on the collected satellite image data, the extracted shooting It may include a clustering module that clusters shooting candidate areas based on the site characteristics and environmental characteristics of the candidate area, and a recommendation information providing module that provides drone shooting location recommendation information to the user based on the clustered groups.

The drone filming location recommendation information providing system according to an embodiment of the present invention includes a user terminal and a drone filming location recommendation information providing server that provides drone filming location recommendation information to the user terminal in response to the user's request input through the user terminal. It includes a drone filming location recommendation information providing server, based on drone no-fly zone data, a filming area extraction module that generates filming available area data for areas where drone filming is legally possible, and the generated filming available area. Based on the data, a shooting candidate area extraction module that collects satellite image data corresponding to an area where drone shooting is legally possible and extracts shooting candidate areas based on the collected satellite image data, the extracted shooting candidate area It may include a clustering module that clusters shooting candidate areas based on site characteristics and environmental characteristics, and a recommendation information providing module that provides drone shooting location recommendation information to the user based on the clustered groups.

The method and device according to an embodiment of the present invention have the effect of being able to recommend the optimal drone shooting location that suits the user's taste by reflecting the characteristics and current status of each region even within areas where drone shooting is legally allowed.

In order to more fully understand the drawings cited in the detailed description of the present invention, a brief description of each drawing is provided.
Figure 1 is a conceptual diagram of a system for providing recommendation information on drone filming locations according to an embodiment of the present invention.
FIG. 2 is a block diagram according to an embodiment of a drone filming location recommendation information providing server shown in FIG. 1.
FIG. 3 is a diagram illustrating an example of a process for clustering shooting candidate areas in the drone shooting location recommendation information providing server shown in FIG. 2.
Figure 4 is a flowchart of a method for providing recommended drone filming location information according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail through detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention.

In describing the present invention, if it is determined that a detailed description of related known technologies may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, numbers (eg, first, second, etc.) used in the description of this specification are merely identifiers to distinguish one component from another component.

In addition, in this specification, when a component is referred to as "connected" or "connected" to another component, the component may be directly connected or directly connected to the other component, but specifically Unless there is a contrary description, it should be understood that it may be connected or connected through another component in the middle.

In addition, terms such as “unit”, “unit”, “unit”, and “module” used in this specification refer to a unit that processes at least one function or operation, which refers to a processor, micro Processor (Micro Processer), Micro Controller, CPU (Central Processing Unit), GPU (Graphics Processing Unit), APU (Accelerate Processor Unit), DSP (Drive Signal Processor), ASIC (Application Specific Integrated Circuit), FPGA It may be implemented as hardware or software, such as a Field Programmable Gate Array, or a combination of hardware and software, and may also be implemented in a form combined with a memory that stores data necessary for processing at least one function or operation. .

In addition, it is intended to be clear that the division of components in this specification is merely a division according to the main function each component is responsible for. That is, two or more components, which will be described below, may be combined into one component, or one component may be divided into two or more components for more detailed functions. In addition to the main functions it is responsible for, each of the components described below may additionally perform some or all of the functions handled by other components, and some of the main functions handled by each component may be performed by other components. Of course, it can also be carried out exclusively by .

Figure 1 is a conceptual diagram of a system for providing recommendation information on drone filming locations according to an embodiment of the present invention.

Referring to FIG. 1, the drone shooting location recommendation information providing system 10 according to an embodiment of the present invention extracts shooting candidate areas from satellite image data, clusters the extracted shooting candidate areas, and recommends drone shooting locations to the user. It is a system that can provide information.

The drone filming location recommendation information providing system 10 may include a satellite 200, a ground station 250, a drone filming location recommendation information providing server 300, and a user terminal 400.

The satellite 200 may acquire a satellite image using a satellite camera mounted on the satellite 200, and transmit satellite image data related to the acquired satellite image to the ground station 250.

Depending on the embodiment, the satellite 200 may transmit satellite image data including a hyperspectral image to the ground station 250 using a hyperspectral camera mounted on the satellite 200.

The ground station 250 is located on the ground and may be equipped with a satellite antenna to receive various data transmitted from the artificial satellite 200. The ground station 250 may receive satellite image data transmitted from the satellite 200 and transmit the received satellite image data to the drone filming location recommendation information providing server 300.

Depending on the embodiment, the drone filming location recommendation information providing system 10 may be implemented in a form that does not include the ground station 250.

According to another embodiment, the drone filming location recommendation information providing system 10 may be provided with a separate server (not shown) for managing satellite image data. In this case, the drone filming location recommendation information providing server 300 may be provided as the separate server 300. Satellite image data can be received from a server (not shown).

The drone filming location recommendation information providing server 300 may receive satellite image data transmitted from the ground station 250, generate drone filming location recommendation information based on the received satellite image data, and provide it to the user terminal 400.

Depending on the embodiment, the drone filming location recommendation information may include recommended information about a location, time, or route suitable for when a user wants to take pictures with a drone.

The user can receive recommended drone filming location information through the user terminal 400.

Depending on the embodiment, recommended drone shooting location information may be provided within the first area RG1 selected based on at least one of the user's location provided through the user terminal 400 and the user's drone shooting history.

Depending on the embodiment, the user terminal 400 may be implemented as a terminal capable of communication. Although a smartphone is shown as an example of the user terminal 400 in FIG. 1, the user terminal 400 may be implemented as various types of devices (eg, PCs, etc.) capable of wired/wireless communication.

FIG. 2 is a block diagram according to an embodiment of a drone filming location recommendation information providing server shown in FIG. 1. FIG. 3 is a diagram illustrating an example of a process for clustering shooting candidate areas in the drone shooting location recommendation information providing server shown in FIG. 2.

Referring to Figures 1 and 2, the drone filming location recommendation information providing server 300 includes a satellite image data reception module 310, a super-resolution processing module 320, a drone no-fly zone data collection module 330, and weather information collection. It may include a module 340, a data extraction and analysis module 350, and a recommendation information provision module 360.

The satellite image data reception module 310 may receive satellite image data transmitted from the satellite 200 and transmit the received satellite image data to the super-resolution processing module 320.

Depending on the embodiment, the satellite image data receiving module 310 may process the received satellite image data into a form suitable for use in the drone filming location recommendation information providing server 300 (e.g., resizing data size, changing format, etc.). there is.

The super-resolution processing module 320 may process the satellite image data transmitted from the satellite image data reception module 310 to super-resolution and generate super-resolution processed satellite image data.

Depending on the embodiment, the super-resolution processing module 320 may improve the resolution of satellite image data using various processing techniques (eg, high-frequency component restoration, pre-processing filtering, super-resolution filtering, post-processing filtering, etc.).

Depending on the embodiment, the configuration of the super-resolution processing module 320 may be omitted in the drone filming location recommendation information providing server 300.

The drone no-fly zone data collection module 330 can collect drone no-fly zone data.

Depending on the embodiment, despite the terminology, drone no-fly zone data is information about a no-fly zone where drone photography itself is legally prohibited without a separate flight permit, and is separately provided when the drone weight standard or flight altitude requirement is met. It may include information on restricted flight areas where drone photography is permitted on a limited basis without a flight permit, and information on no-fly times.

The weather information collection module 340 can collect weather information that may affect drone photography.

Depending on the embodiment, the weather information may include at least one of temperature, humidity, wind direction, wind speed, precipitation probability, precipitation type, air quality, fine dust concentration, ultrafine dust concentration, and earth magnetic field strength.

The data extraction and analysis module 350 may include a shooting area extraction module 352, a shooting candidate area extraction module 354, and a clustering module 356.

The filming area extraction module 352 can generate filming area data for areas where drone filming is legally possible based on the drone no-flying area data collected by the drone no-flying area data collection module 330. .

Depending on the embodiment, the photographable area data may include information about the location (e.g., latitude and longitude, or address, etc.), altitude, and range of the area where drone photography is possible, and information about the time zone during which drone photography is possible. there is.

Referring to FIG. 3, the shooting area extraction module 352 selects the first area (RG1), which is a no-fly zone, among several areas (e.g., RG1, RG2, RG3) that are subject to drone shooting. Area 2 (RG2) and Area 3 (RG3) are determined as areas where drone filming is legally possible (RG-PA), and data on the area available for drone filming can be generated for the area where drone filming is possible (RG-PA). .

Returning to FIG. 2, the shooting candidate area extraction module 354 collects satellite image data corresponding to the area where drone shooting is legally possible based on the shooting possible area data generated by the shooting possible area extraction module 352. You can.

Depending on the embodiment, the shooting candidate area extraction module 354 may selectively collect satellite image data corresponding to areas where drone shooting is legally possible among the satellite image data received through the satellite image data receiving module 310. You can.

The shooting candidate area extraction module 354 may extract shooting candidate areas based on the collected satellite image data.

Depending on the embodiment, the shooting candidate area extraction module 354 may analyze the distribution characteristics of land cover from the collected satellite image data and extract shooting candidate areas based on the distribution characteristics of the analyzed land cover. there is.

Depending on the embodiment, the shooting candidate area extraction module 354 may extract shooting candidate areas for different purposes according to the distribution characteristics of the analyzed land cover. For example, areas where the distribution of land cover is forest areas (e.g., broad-leaved forests, coniferous forests, mixed forests, etc.), bare areas (e.g., natural bare areas (beach, riverbank, rock walls/rocks), artificial bare areas (mined areas, Kitanaji, etc.), etc. can be extracted as a candidate shooting area for hobby purposes. For example, an area with a land cover distribution such as grassland can be extracted as a candidate area for filming for business purposes such as surveying and measurement.

According to another embodiment, the shooting candidate area extraction module 354 may extract shooting candidate areas based on collected satellite image data and weather information corresponding to areas where drone shooting is legally possible. For example, the weather information may include at least one of temperature, humidity, wind direction, wind speed, precipitation probability, precipitation type, air quality, fine dust concentration, ultrafine dust concentration, and earth magnetic field strength. In this case, the shooting candidate area extraction module 354 can extract areas with weather conditions suitable for drone flight according to weather information within an area where drone shooting is legally possible as shooting candidate areas.

Referring to Figure 3 together, the shooting candidate area extraction module 354 is based on weather information corresponding to the area where drone shooting is possible (e.g., RG-PA), even within the area where drone shooting is possible (e.g., RG-PA). Candidate filming areas (eg, RG-CA1, RG-CA2) with weather conditions suitable for drone flight can be extracted.

Returning to FIG. 2, the clustering module 356 may cluster the shooting candidate areas extracted by the shooting candidate area extraction module 354 based on the paper characteristics and environmental characteristics of each of the shooting candidate areas.

Depending on the embodiment, the clustering module 356 may perform the clustering using a convolutional neural network (CNN).

Depending on the embodiment, the site characteristics may be the land use area of the corresponding area. For example, site characteristics are urban areas (residential areas (Type 1 exclusive residential area, Type 2 exclusive residential area, Type 1 general residential area, Type 2 general residential area, Type 3 general residential area, semi-residential area). , commercial areas (central commercial area, general commercial area, neighborhood commercial area, distribution commercial area), industrial area (exclusive industrial area, general industrial area, semi-industrial area), green area (conservation green area, production green area, natural green area) ), management areas (conservation management areas, production management areas, planning management areas), agricultural and forestry areas, natural environment conservation areas, etc.

Depending on the embodiment, the clustering module 356 may determine paper characteristics according to the purpose of the shooting candidate area based on the location of the shooting candidate area extracted by the shooting candidate area extraction module 354.

Depending on the embodiment, environmental characteristics may mean the distribution and growth characteristics of vegetation existing in the corresponding area.

According to the embodiment, the clustering module 356 analyzes the vegetation index from the satellite image data corresponding to the shooting candidate area extracted by the shooting candidate area extraction module 354, and determines the environment based on the distribution characteristics of the analyzed vegetation index. characteristics can be judged. For example, the vegetation index may be a Normalized Difference Vegetation Index (NDVI) analyzed by hyperspectral image data included in satellite image data.

Referring to FIG. 3 together, the clustering module 356 divides areas with similar paper characteristics and similar environmental characteristics for the shooting candidate areas (e.g., RG-CA1, RG-CA2) into several groups (e.g., GR1 to GR4). ) can be clustered.

Returning to FIG. 2, the recommendation information providing module 360 may provide recommended drone filming location information to the user based on the groups clustered by the clustering module 356.

According to an embodiment, the recommendation information providing module 360 searches for a first recommended drone shooting location based on the user's location and the user's drone shooting history, and second recommended drones are clustered into the same group as the searched first recommended drone shooting location. Recommended information on drone filming locations, including filming locations, can be provided.

Depending on the embodiment, the recommendation information providing module 360 provides a first reference distance from the user's location among drone shooting locations that have similar site characteristics and environmental characteristics to the drone shooting locations that the user has previously taken based on the user's drone shooting history. You can select a drone filming location within the range as the first recommended drone filming location.

Depending on the embodiment, the first standard distance may be set based on the density of an area where drone photography is legally possible within a range from the user's location to the second standard distance. In this case, the second reference distance may be a preset distance. For example, if the density of the area where drone photography is legally possible within the range within the second reference distance from the user's location is relatively low, the first reference distance is set to a relatively large value, and the second reference distance is from the user's location. If the density of the area where drone photography is legally possible within the range is relatively high, the first reference distance may be set to a relatively small value.

Figure 4 is a flowchart of a method for providing recommended drone filming location information according to an embodiment of the present invention.

Referring to FIGS. 1 to 4 , the drone filming location recommendation information providing server 300 may generate filming area data for an area where drone photography is possible based on drone no-fly zone data (S401).

Depending on the embodiment, the drone filming location recommendation information providing server 300 generates filming area data for areas where drone filming is possible, excluding the range where drone filming is temporally or spatially limited, based on drone no-fly zone data. can do.

The drone shooting location recommendation information providing server 300 may collect satellite image data corresponding to an area where drone shooting is legally possible based on the shooting area data generated in step S401 (S402).

Depending on the embodiment, the collected satellite image data may also include hyperspectral image data.

The drone filming location recommendation information providing server 300 may extract candidate filming areas based on the satellite image data collected in step S402 (S403).

Depending on the embodiment, the drone filming location recommendation information providing server 300 may extract candidate filming areas based on collected satellite image data and weather information corresponding to areas where drone filming is legally possible.

The drone shooting location recommendation information providing server 300 may cluster the shooting candidate areas based on the paper characteristics and environmental characteristics of the shooting candidate areas extracted in step S403 (S404).

Depending on the embodiment, the drone filming location recommendation information providing server 300 may perform the clustering using a convolutional neural network.

The drone filming location recommendation information providing server 300 may provide drone filming location recommendation information to the user terminal based on the groups clustered in step S404 (S405).

According to an embodiment, the drone shooting location recommendation information providing server 300 selects the user's location from among drone shooting locations that have similar site characteristics and environmental characteristics to drone shooting locations that the user has previously taken photos of, based on the user's drone shooting history. A drone shooting location within a first standard distance may be selected as a first recommended drone shooting location, and recommended drone shooting location information may be provided, including a second recommended drone shooting location clustered into the same group as the searched first recommended drone shooting location.

Depending on the embodiment, the method of providing recommended drone filming location information according to an embodiment of the present invention may be implemented as a program code and stored in a medium, and the medium is combined with a processor to perform a method of providing recommended drone filming location information. You can do it.

Above, the present invention has been described in detail with preferred embodiments, but the present invention is not limited to the above embodiments, and various modifications and changes can be made by those skilled in the art within the scope of the present invention. .

10: Drone filming location recommendation information system
200: satellite
250: ground station
300: Server providing drone filming location recommendation information
400: user terminal

Claims (15)

A step of the drone filming location recommendation information providing server generating filming area data for an area where drone filming is legally possible based on drone no-fly zone data;
collecting, by the drone shooting location recommendation information providing server, satellite image data corresponding to an area where drone shooting is legally possible based on the generated shooting possible area data;
extracting, by the drone shooting location recommendation information providing server, candidate shooting areas based on the collected satellite image data and weather information corresponding to the area where drone shooting is legally possible;
grouping, by the drone shooting location recommendation information providing server, the shooting candidate areas based on the extracted paper characteristics and environmental characteristics of the shooting candidate areas; and
A step of the drone filming location recommendation information providing server providing drone filming location recommendation information to the user based on clustered groups,
The step of providing recommended drone filming locations to the user is:
Searching for a first recommended drone shooting location based on the user's location and the user's drone shooting history; and
It further includes providing recommended drone shooting location information, including second recommended drone shooting locations clustered into the same group as the searched first recommended drone shooting location,
The step of searching for the first recommended drone filming location is,
Based on the user's drone shooting history, among drone shooting locations that the user has previously taken photos of and drone shooting locations that have similar land characteristics and environmental characteristics, a drone shooting location within a first reference distance from the user's location is selected as a first location. A method of providing recommended drone filming location information to select recommended drone filming locations.
According to paragraph 1,
The drone no-fly zone data is,
A method of providing recommended drone filming location information, which is collected by the drone filming location recommendation information provision server and includes information on no-fly areas and restricted flight areas, and information on no-fly time zones.
According to paragraph 1,
The photographable area data is,
A method of providing recommended drone filming location information, including information on the location, altitude, and range of the area where drone filming is possible, and information on the time zone where drone filming is possible.
According to paragraph 1,
The satellite image data is,
A method of providing drone filming location recommendation information including hyperspectral image data.
delete According to paragraph 1,
The weather information is,
A method of providing recommended drone filming location information, including at least one of temperature, humidity, wind direction, wind speed, precipitation probability, precipitation type, air quality, fine dust concentration, ultrafine dust concentration, and earth magnetic field strength.
According to clause 6,
The step of extracting the shooting candidate areas is,
A method of providing recommended drone filming location information, extracting areas with weather conditions suitable for flying a drone according to the weather information within the area where drone filming is legally possible as the filming candidate areas.
According to paragraph 1,
The step of clustering the shooting candidate areas is,
A method of providing recommended drone filming locations by performing the clustering using a convolutional neural network (CNN).
According to paragraph 1,
The step of clustering the shooting candidate areas is,
A method of providing recommended drone shooting location information, further comprising the step of determining, by the drone shooting location recommendation information providing server, the paper characteristics according to the purpose of the shooting candidate area based on the extracted location of the shooting candidate area.
According to paragraph 1,
The step of clustering the shooting candidate areas is,
Comprising the step of the drone shooting location recommendation information providing server analyzing a vegetation index from satellite image data corresponding to the extracted shooting candidate area, and determining the environmental characteristics based on the distribution characteristics of the analyzed vegetation index. How to provide recommended drone filming locations.
delete delete According to paragraph 1,
The first reference distance is,
A method of providing recommended drone filming location information, which is set based on the density of the area where drone filming is legally possible within a second standard distance from the user's location.
A filming area extraction module that generates filming area data for areas where drone filming is legally possible, based on drone no-fly zone data;
Based on the generated shooting area data, satellite image data corresponding to the area where drone shooting is legally possible is collected, based on the collected satellite image data and weather information corresponding to the legally drone shooting area. a shooting candidate area extraction module that extracts shooting candidate areas;
a clustering module that clusters shooting candidate areas based on the extracted paper characteristics and environmental characteristics of the shooting candidate areas; and
It includes a recommendation information provision module that provides recommended drone filming location information to the user based on clustered groups,
The recommended information provision module is,
Search for the first recommended drone shooting location based on the user's location and the user's drone shooting history,
Provides recommended drone shooting location information, including second recommended drone shooting locations clustered into the same group as the first recommended drone shooting location found,
The first recommended drone filming location is,
Based on the user's drone shooting history, among the drone shooting locations that the user has previously taken photos of and the site characteristics and environmental characteristics similar to the drone shooting locations, the drone is a drone shooting location within a first reference distance from the user's location. A server that provides recommended filming locations.
user terminal; and
It includes a drone filming location recommendation information server that provides drone filming location recommendation information to the user terminal in response to the user's request input through the user terminal,
The server that provides recommended drone filming location information is,
A filming area extraction module that generates filming area data for areas where drone filming is legally possible, based on drone no-fly zone data;
Based on the generated shooting area data, satellite image data corresponding to the area where drone shooting is legally possible is collected, based on the collected satellite image data and weather information corresponding to the legally drone shooting area. a shooting candidate area extraction module that extracts shooting candidate areas;
a clustering module that clusters shooting candidate areas based on the extracted paper characteristics and environmental characteristics of the shooting candidate areas; and
It includes a recommendation information provision module that provides recommended drone filming location information to the user based on clustered groups,
The recommended information provision module is,
Search for the first recommended drone shooting location based on the user's location and the user's drone shooting history,
Provides recommended drone shooting location information, including second recommended drone shooting locations clustered in the same group as the searched first recommended drone shooting locations,
The first recommended drone filming location is:
Based on the user's drone shooting history, among the drone shooting locations that the user has previously taken photos of and the site characteristics and environmental characteristics similar to the drone shooting locations, the drone is a drone shooting location within a first reference distance from the user's location. A filming location recommendation information providing system.

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