CN109783591A - Space data acquisition method and device based on Internet map - Google Patents
Space data acquisition method and device based on Internet map Download PDFInfo
- Publication number
- CN109783591A CN109783591A CN201811642843.6A CN201811642843A CN109783591A CN 109783591 A CN109783591 A CN 109783591A CN 201811642843 A CN201811642843 A CN 201811642843A CN 109783591 A CN109783591 A CN 109783591A
- Authority
- CN
- China
- Prior art keywords
- map
- poi
- data
- data acquisition
- internet map
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Processing Or Creating Images (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Instructional Devices (AREA)
Abstract
The invention discloses a kind of space data acquisition method and device based on Internet map, wherein method is the following steps are included: reception space place name;Internet map is called to service Api, to obtain the POI data of space place name according to Internet map;POI data is parsed, and coordinate conversion is carried out to parsing result, to obtain POI coordinate;Union operation is carried out to POI coordinate, to obtain convex polygon;The remote sensing map for meeting default resolution ratio is read, and the building intersected with convex polygon is carried out to seek maximum external contact zone, and show the spatial dimension of space place name in conjunction with map.This method generates " number institute " spatial data by internet POI data and the automation of high-resolution remote sensing image map datum, to realize space data collection, so that the practicability and applicability of data acquisition are effectively improved, and it is high-efficient, it is simple easily to realize.
Description
Technical field
The present invention relates to data acquisition technology field, in particular to a kind of space data collection side based on Internet map
Method and device.
Background technique
Currently, most of " number institute " space geometry type is indicated with point data in " institute of the Road Feng Xiu 3 " place name, actually
" number institute " includes range in people realize, and space geometry type has clearly a need for being described with planar here, but in reality
But acquisition and storage is not gone fully according to face.
In the related technology, (1) method 1: it is based on 000 or more map vector sum high-resolution satellite image number of half size scale
Artificial processing system is carried out according to achievement and GIS (Geographic Information System, GIS-Geographic Information System) platform software
Make.
(2) place name " number institute ", the attribute and spatial information returned method 2: are gone out based on Internet map service-seeking.
(3) method 3: using suitable space topological computing, it is related to spatial outliers calculating, space convex polygon
(ConvexHull), space intersection operation (Intersection), space union operation (Union).
(4) method 4: processing and processing multi-source data have more data of Internet map: Baidu, Gao De, the world
Figure, (OSM) open street figure, these data can refer to mutually after conversion, improve the quality of data.
Although the GIS platform software of needs profession is put into however, available " number institute " range data of method 1,1:
2000 vector data detailed informations manually check that data volume is big, need hand-made workload too big, are difficult to carry out in reality
It is a wide range of to realize.Similarly, although method 2 can be with the geographical name data of quick obtaining " number institute ", the spatial data that obtains
Space geometry type is substantially point data, the spatial dimension of specific " number institute " is not provided, additionally, due to Internet map
Service coordinate is different, obtains spatial data result and does not convert, generally cannot be directly used in other programs.Method 3: although can
To provide common space topological operation, but how combinatorial operation is no process reference for specific data.Method 4:
Although available more Internet map service datas, since each map datum characteristic is different, data class and data are total
Amount is different, secondary development interface function is different, to cannot directly be used in mixed way.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, an object of the present invention is to provide a kind of space data acquisition method based on Internet map, it should
Method can effectively improve the practicability and applicability of data acquisition, high-efficient, simple easily to realize.
It is another object of the present invention to propose a kind of spatial data acquisition device based on Internet map.
In order to achieve the above objectives, one aspect of the present invention embodiment proposes a kind of spatial data based on Internet map and adopts
Set method, comprising the following steps: reception space place name;Internet map is called to service Api, to obtain institute according to Internet map
State POI (Point of Interes, point of interest) data of space place name;The POI data is parsed, and parsing result is carried out
Coordinate conversion, to obtain POI coordinate;Union operation is carried out to the POI coordinate, to obtain convex polygon;It reads to meet and preset
The remote sensing map of resolution ratio, and the building intersected with the convex polygon is carried out to seek maximum external contact zone, and in combination
Figure shows the spatial dimension of the space place name.
The space data acquisition method based on Internet map of the embodiment of the present invention, passes through internet POI data and height
The automation of resolution remote sense image map datum generates " number institute " spatial data, to realize space data collection, to effectively mention
The practicability and applicability of high data acquisition, it is high-efficient, it is simple easily to realize.
In addition, the space data acquisition method according to the above embodiment of the present invention based on Internet map can also have
Additional technical characteristic below:
Further, in one embodiment of the invention, the parsing POI data, further comprises: obtaining institute
State POI data;Judge whether the POI data meets analysis condition;If meeting the analysis condition, to the POI number
According to being parsed.
Further, in one embodiment of the invention, further includes: obtained according to spatial outliers algorithm and reject to
A few outlier.
Further, in one embodiment of the invention, the building intersected with the convex polygon is asked
Maximum external contact zone further comprises: extracting the multiple buildings intersected with the boundary of the convex polygon;It obtains described more
The shape of a building, and obtain the boundary rectangle of the shape.
Further, in one embodiment of the invention, further includes: whether the boundary rectangle for detecting the shape meets
Preset condition;If being unsatisfactory for the preset condition, weight adjusts the convex-edge shape vertex of the boundary rectangle.
In order to achieve the above objectives, another aspect of the present invention embodiment proposes a kind of spatial data based on Internet map
Acquisition device, comprising: receiving module is used for reception space place name;Calling module, for calling Internet map to service Api
(Application Programming Interface, application programming interface), it is described to be obtained according to Internet map
The POI data of space place name;Parsing module carries out coordinate conversion for parsing the POI data, and to parsing result, with
To POI coordinate;Computing module, for carrying out Union operation to the POI coordinate, to obtain convex polygon;Read module is used
Meet the remote sensing map for presetting resolution ratio in reading, and the building intersected with the convex polygon is carried out to ask maximum external more
Side shape, and show in conjunction with map the spatial dimension of the space place name.
The spatial data acquisition device based on Internet map of the embodiment of the present invention, passes through internet POI data and height
The automation of resolution remote sense image map datum generates " number institute " spatial data, to realize space data collection, to effectively mention
The practicability and applicability of high data acquisition, it is high-efficient, it is simple easily to realize.
In addition, the spatial data acquisition device according to the above embodiment of the present invention based on Internet map can also have
Additional technical characteristic below:
Further, in one embodiment of the invention, the parsing module is further used for obtaining the POI number
According to, and judge whether the POI data meets analysis condition, and when meeting the analysis condition, the POI data is carried out
Parsing.
Further, in one embodiment of the invention, further includes: module is rejected, for counting according to Spatial Outlier
Method obtains and rejects at least one outlier.
Further, in one embodiment of the invention, the read module be further used for extract with it is described convex
Multiple buildings of the boundary intersection of polygon, and the shape of the multiple building is obtained, and obtain the external of the shape
Rectangle.
Further, in one embodiment of the invention, further includes: detection module, for detecting the outer of the shape
Connect whether rectangle meets preset condition, and when being unsatisfactory for the preset condition, weight adjusts the convex-edge shape of the boundary rectangle
Vertex.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is the flow chart according to the space data acquisition method based on Internet map of one embodiment of the invention;
Fig. 2 is the process according to the space data acquisition method based on Internet map of a specific embodiment of the invention
Figure;
Fig. 3 is the structural representation according to the spatial data acquisition device based on Internet map of one embodiment of the invention
Figure.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
The space data collection side based on Internet map proposed according to embodiments of the present invention is described with reference to the accompanying drawings
Method and device describe the space data collection based on Internet map proposed according to embodiments of the present invention with reference to the accompanying drawings first
Method.
Fig. 1 is the flow chart of the space data acquisition method based on Internet map of one embodiment of the invention.
As shown in Figure 1, should space data acquisition method based on Internet map the following steps are included:
In step s101, reception space place name.
It is understood that space place name can be the place name of " number institute ", as shown in Fig. 2, firstly, the embodiment of the present invention is defeated
Entering includes the place name of " number institute ".Wherein, corresponding relationship is as follows in the classification of " number institute " address and place name:
In step s 102, Internet map is called to service Api, to obtain the POI of space place name according to Internet map
Data.
It is understood that the specific Internet map of routine call services Api, for example, as shown in Fig. 2, the present invention is real
It applies example and is based on Internet map service SDK Api acquisition map POI data.
In step s 103, POI data is parsed, and coordinate conversion is carried out to parsing result, to obtain POI coordinate.
Wherein, in one embodiment of the invention, POI data is parsed, further comprises: obtaining POI data;Judgement
Whether POI data meets analysis condition;If meeting analysis condition, POI data is parsed.
It is understood that analysis condition can be greater than preset value for the quantity of the POI data returned, for example, being greater than 3
It is parsed when the above POI data, certainly, preset value can be arranged in those skilled in the art according to the actual situation, for example, greatly
It is parsed when 5 or more POI datas, is not specifically limited herein.The embodiment of the present invention is with the POI greater than 3 or more
For being parsed when data, for example, as shown in Fig. 2, the embodiment of the present invention can parse the POI for being greater than 3 or more of return
Data carry out necessary coordinate conversion.
In step S104, Union operation is carried out to POI coordinate, to obtain convex polygon.
Wherein, in one embodiment of the invention, further includes: obtained according to spatial outliers algorithm and reject at least one
A outlier.
It is understood that the embodiment of the present invention is handled for obtaining POI coordinate, improper data is proposed, to protect
Normal data is stayed, specifically, as shown in Fig. 2, the embodiment of the present invention can be found out according to spatial outliers lookup algorithm, is rejected
Outlier carries out Union operation for the coordinate of POI, obtains a convex polygon, wherein convex polygon can be indicated with Z1.
In addition, the embodiment of the present invention stores the convex polygon after acquiring convex polygon, it is at this time initial address sky
Between library.
In step s105, the remote sensing map for meeting default resolution ratio is read, and to the building intersected with convex polygon
It carries out seeking maximum external contact zone, and shows the spatial dimension of space place name in conjunction with map.
It is understood that default resolution ratio can be the resolution ratio higher than 1 meter, it is of course also possible to be other resolution ratio,
For example, being higher than 2 meters of resolution ratio, those skilled in the art can be configured according to the actual situation, be not specifically limited herein.
By taking the remote sensing map of the resolution ratio higher than 1 meter as an example, the remote sensing map of the resolution ratio higher than 1 meter is properly termed as the embodiment of the present invention
For high-definition remote sensing map, that is to say, that the embodiment of the present invention reads high resolution remote sensing map, the building of convex polygon intersection
Object carries out seeking maximum external contact zone, at this point, being final address space library.
Further, in one embodiment of the invention, the building intersected with convex polygon carries out asking maximum external
Polygon further comprises: extracting the multiple buildings intersected with the boundary of convex polygon;The shape of multiple buildings is obtained,
And obtain the boundary rectangle of shape.
For example, high-definition remote sensing map is read, n, building intersected with the boundary Z1 is extracted, seeks n building
Shape m (n), ask the boundary rectangle Z2 of m (n), map Overlapping display POI, remote sensing map and the Z2 of calculating shape changeable result.
Further, in one embodiment of the invention, further includes: detect shape boundary rectangle whether meet it is default
Condition;If being unsatisfactory for preset condition, weight adjusts the convex-edge shape vertex of boundary rectangle.
It is understood that as shown in Fig. 2, manually according to operation result, after being assessed, if not meeting true feelings
Condition can be adjusted the convex-edge shape vertex of Z2.
Specifically, reading the high-definition remote sensing map on external contact zone periphery;Interpret high-definition remote sensing map model
Enclose the convex polygon set that interior owned building is constituted;The intersection for obtaining convex polygon set and boundary rectangle, according to intersection
Whether the boundary rectangle of detection meets preset condition, and manual intervention is carried out when being unsatisfactory for preset condition, to realize external
Connect the adjustment on the convex-edge shape vertex of rectangle.To sum up, the embodiment of the present invention is according to " classification of GBT 18521-2001 place name and classification generation
Code establishment rules " formulate place name coding, using day map, Baidu map, the service of Amap Internet map and geographical name data,
POI data, high-definition remote sensing shadow all band picture, by a series of planar spatial data number for being processed into place name " number institute "
According to.In addition, the embodiment of the present invention can also carry out data mart modeling into the spatial data of address based on GIS platform.The present invention is implemented
Example supports offline and on-line mode using address achievement mode, and using programming automation processing input " number institute " type place name
Spatial dimension.
The space data acquisition method based on Internet map proposed according to embodiments of the present invention, passes through internet POI
Data and the automation of high-resolution remote sensing image map datum generate " number institute " spatial data, to realize space data collection, from
And the practicability and applicability of data acquisition are effectively improved, and it is high-efficient, it is simple easily to realize.
The space data collection dress based on Internet map proposed according to embodiments of the present invention referring next to attached drawing description
It sets.
Fig. 3 is the structural schematic diagram of the spatial data acquisition device based on Internet map of one embodiment of the invention.
Include: receiving module 100, call mould as shown in figure 3, being somebody's turn to do the spatial data acquisition device 10 based on Internet map
Block 200, parsing module 300, computing module 400 and read module 500.
Wherein, receiving module 100 is used for reception space place name.Calling module 200 is for calling Internet map service
Api, to obtain the POI data of space place name according to Internet map.Parsing module 300 is used to parse POI data, and to parsing
As a result coordinate conversion is carried out, to obtain POI coordinate.Computing module 400 is used to carry out Union operation to POI coordinate, convex to obtain
Polygon.Read module 500 is used to read the remote sensing map for meeting default resolution ratio, and to the building intersected with convex polygon
It carries out seeking maximum external contact zone, and shows the spatial dimension of space place name in conjunction with map.The device 10 of the embodiment of the present invention has
Effect improves the practicability and applicability of data acquisition, high-efficient, simple easily to realize.
Further, in one embodiment of the invention, parsing module 300 is further used for obtaining POI data, and sentences
Whether disconnected POI data meets analysis condition, and when meeting analysis condition, parses to POI data.
Further, in one embodiment of the invention, the device 10 of the embodiment of the present invention further include: reject module.
Wherein, module is rejected for obtaining according to spatial outliers algorithm and rejecting at least one outlier.
Further, in one embodiment of the invention, read module 500 is further for extraction and convex polygon
Boundary intersection multiple buildings, and obtain the shape of multiple buildings, and obtain the boundary rectangle of shape.
Further, in one embodiment of the invention, the device 10 of the embodiment of the present invention further include: detection module.
Wherein, whether the boundary rectangle that detection module is used to detect shape meets preset condition, and when being unsatisfactory for preset condition, weight
Adjust the convex-edge shape vertex of boundary rectangle.
It should be noted that the aforementioned explanation to the space data acquisition method embodiment based on Internet map
Suitable for the spatial data acquisition device based on Internet map of the embodiment, details are not described herein again.
The spatial data acquisition device based on Internet map proposed according to embodiments of the present invention, passes through internet POI
Data and the automation of high-resolution remote sensing image map datum generate " number institute " spatial data, to realize space data collection, from
And the practicability and applicability of data acquisition are effectively improved, and it is high-efficient, it is simple easily to realize.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present invention, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of space data acquisition method based on Internet map, which comprises the following steps:
Reception space place name;
Internet map is called to service Api, to obtain the POI data of the space place name according to Internet map;
The POI data is parsed, and coordinate conversion is carried out to parsing result, to obtain POI coordinate;
Union operation is carried out to the POI coordinate, to obtain convex polygon;And
The remote sensing map for meeting default resolution ratio is read, and the building intersected with the convex polygon is carried out to ask maximum external
Polygon, and show in conjunction with map the spatial dimension of the space place name.
2. the space data acquisition method according to claim 1 based on Internet map, which is characterized in that the parsing
The POI data further comprises:
Obtain the POI data;
Judge whether the POI data meets analysis condition;
If meeting the analysis condition, the POI data is parsed.
3. the space data acquisition method according to claim 1 based on Internet map, which is characterized in that further include:
It is obtained according to spatial outliers algorithm and rejects at least one outlier.
4. the space data acquisition method according to claim 1 based on Internet map, which is characterized in that described and institute
The building for stating convex polygon intersection carries out seeking maximum external contact zone, further comprises:
Extract the multiple buildings intersected with the boundary of the convex polygon;
The shape of the multiple building is obtained, and obtains the boundary rectangle of the shape.
5. the space data acquisition method according to claim 4 based on Internet map, which is characterized in that further include:
Whether the boundary rectangle for detecting the shape meets preset condition;
If being unsatisfactory for the preset condition, weight adjusts the convex-edge shape vertex of the boundary rectangle.
6. a kind of spatial data acquisition device based on Internet map characterized by comprising
Receiving module is used for reception space place name;
Calling module, for calling Internet map to service Api, to obtain the POI of the space place name according to Internet map
Data;
Parsing module carries out coordinate conversion for parsing the POI data, and to parsing result, to obtain POI coordinate;
Computing module, for carrying out Union operation to the POI coordinate, to obtain convex polygon;And
Read module, for reading the remote sensing map for meeting default resolution ratio, and to the building intersected with the convex polygon
It carries out seeking maximum external contact zone, and shows the spatial dimension of the space place name in conjunction with map.
7. the spatial data acquisition device according to claim 6 based on Internet map, which is characterized in that the parsing
Module is further used for obtaining the POI data, and judges whether the POI data meets analysis condition, and described in the satisfaction
When analysis condition, the POI data is parsed.
8. the spatial data acquisition device according to claim 6 based on Internet map, which is characterized in that further include:
Module is rejected, for obtaining according to spatial outliers algorithm and rejecting at least one outlier.
9. the spatial data acquisition device according to claim 6 based on Internet map, which is characterized in that the reading
Module is further used to extract the multiple buildings intersected with the boundary of the convex polygon, and obtains the multiple building
Shape, and obtain the boundary rectangle of the shape.
10. the spatial data acquisition device according to claim 9 based on Internet map, which is characterized in that further include:
Detection module, whether the boundary rectangle for detecting the shape meets preset condition, and is being unsatisfactory for the default item
When part, weight adjusts the convex-edge shape vertex of the boundary rectangle.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811642843.6A CN109783591B (en) | 2018-12-29 | 2018-12-29 | Spatial data acquisition method and device based on Internet map |
PCT/CN2019/128707 WO2020135585A1 (en) | 2018-12-29 | 2019-12-26 | Internet map-based spatial data acquisition method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811642843.6A CN109783591B (en) | 2018-12-29 | 2018-12-29 | Spatial data acquisition method and device based on Internet map |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109783591A true CN109783591A (en) | 2019-05-21 |
CN109783591B CN109783591B (en) | 2021-09-03 |
Family
ID=66499581
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811642843.6A Active CN109783591B (en) | 2018-12-29 | 2018-12-29 | Spatial data acquisition method and device based on Internet map |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN109783591B (en) |
WO (1) | WO2020135585A1 (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110427450A (en) * | 2019-08-09 | 2019-11-08 | 深圳四维集思技术服务有限公司 | Oil-gas pipeline data processing method and system based on Internet map |
WO2020135585A1 (en) * | 2018-12-29 | 2020-07-02 | 北京辰安科技股份有限公司 | Internet map-based spatial data acquisition method and device |
CN112163062A (en) * | 2020-10-21 | 2021-01-01 | 腾讯科技(深圳)有限公司 | Data processing method and device, computer equipment and storage medium |
CN112925764A (en) * | 2019-12-10 | 2021-06-08 | 中国再保险(集团)股份有限公司 | Industrial risk exposure database of disaster giant model and construction method thereof |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102902837A (en) * | 2012-07-25 | 2013-01-30 | 南京大学 | Graphic space superposition analysis drafting method of complex vector polygon |
CN103617295A (en) * | 2013-12-16 | 2014-03-05 | 北京锐安科技有限公司 | Method and device for processing geographic information vector data |
CN105512169A (en) * | 2016-03-10 | 2016-04-20 | 珠海市规划设计研究院 | Shortest route searching method based on route and weight |
CN106529794A (en) * | 2016-10-28 | 2017-03-22 | 上海金智晟东电力科技有限公司 | Power distribution network fault impact scope visualization method and system |
US20180255428A1 (en) * | 2015-08-14 | 2018-09-06 | Aeris Communications, Inc. | System and method for monitoring devices relative to a learned geographic area |
CN103258007B (en) * | 2013-04-16 | 2019-02-01 | 中国科学院地理科学与资源研究所 | A kind of map label method and device using collision detection mechanism |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060041375A1 (en) * | 2004-08-19 | 2006-02-23 | Geographic Data Technology, Inc. | Automated georeferencing of digitized map images |
CN103150309B (en) * | 2011-12-07 | 2016-03-30 | 清华大学 | A kind of direction in space perception map interest point search method and system |
CN104282221B (en) * | 2013-07-01 | 2017-07-28 | 北京四维图新科技股份有限公司 | A kind of method for the road network for building indoor map |
CN104484790A (en) * | 2014-12-26 | 2015-04-01 | 清华大学深圳研究生院 | Address match method and device of logistics business |
CN105404685B (en) * | 2015-12-09 | 2020-07-28 | 中国农业银行股份有限公司 | Electronic map space query method and system |
CN109783591B (en) * | 2018-12-29 | 2021-09-03 | 北京辰安科技股份有限公司 | Spatial data acquisition method and device based on Internet map |
-
2018
- 2018-12-29 CN CN201811642843.6A patent/CN109783591B/en active Active
-
2019
- 2019-12-26 WO PCT/CN2019/128707 patent/WO2020135585A1/en active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102902837A (en) * | 2012-07-25 | 2013-01-30 | 南京大学 | Graphic space superposition analysis drafting method of complex vector polygon |
CN103258007B (en) * | 2013-04-16 | 2019-02-01 | 中国科学院地理科学与资源研究所 | A kind of map label method and device using collision detection mechanism |
CN103617295A (en) * | 2013-12-16 | 2014-03-05 | 北京锐安科技有限公司 | Method and device for processing geographic information vector data |
US20180255428A1 (en) * | 2015-08-14 | 2018-09-06 | Aeris Communications, Inc. | System and method for monitoring devices relative to a learned geographic area |
CN105512169A (en) * | 2016-03-10 | 2016-04-20 | 珠海市规划设计研究院 | Shortest route searching method based on route and weight |
CN106529794A (en) * | 2016-10-28 | 2017-03-22 | 上海金智晟东电力科技有限公司 | Power distribution network fault impact scope visualization method and system |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020135585A1 (en) * | 2018-12-29 | 2020-07-02 | 北京辰安科技股份有限公司 | Internet map-based spatial data acquisition method and device |
CN110427450A (en) * | 2019-08-09 | 2019-11-08 | 深圳四维集思技术服务有限公司 | Oil-gas pipeline data processing method and system based on Internet map |
CN112925764A (en) * | 2019-12-10 | 2021-06-08 | 中国再保险(集团)股份有限公司 | Industrial risk exposure database of disaster giant model and construction method thereof |
CN112925764B (en) * | 2019-12-10 | 2023-09-12 | 中国再保险(集团)股份有限公司 | Industry risk exposure database of disaster model and construction method thereof |
CN112163062A (en) * | 2020-10-21 | 2021-01-01 | 腾讯科技(深圳)有限公司 | Data processing method and device, computer equipment and storage medium |
CN112163062B (en) * | 2020-10-21 | 2022-10-21 | 腾讯科技(深圳)有限公司 | Data processing method and device, computer equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN109783591B (en) | 2021-09-03 |
WO2020135585A1 (en) | 2020-07-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109783591A (en) | Space data acquisition method and device based on Internet map | |
US7031495B2 (en) | Data authoring device | |
US9600607B2 (en) | Methods, apparatuses and computer program products for automatic, non-parametric, non-iterative three dimensional geographic modeling | |
WO2016010784A1 (en) | Blending between street view and earth view | |
CN102236910A (en) | Automatic generation of 3D models from packaged goods product images | |
CN111737790B (en) | Method and equipment for constructing simulated city model | |
TW201131484A (en) | Geospatial modeling system for classifying building and vegetation in a DSM and related methods | |
KR20210075140A (en) | Image processing method and apparatus, processor, electronic device, storage medium | |
CN107506499A (en) | The method, apparatus and server of logical relation are established between point of interest and building | |
CN115100643B (en) | Monocular vision positioning enhancement method and equipment fusing three-dimensional scene semantics | |
CN110910334B (en) | Instance segmentation method, image processing device and computer readable storage medium | |
CN115393240A (en) | GIS and BIM fusion method and device, electronic equipment and readable storage medium | |
CN104657968A (en) | Automatic vehicle-mounted three-dimensional laser point cloud facade classification and outline extraction method | |
CN108090952A (en) | 3 d modeling of building method and apparatus | |
CN110096540A (en) | Surveying and mapping data conversion method, equipment, storage medium and device | |
CN110910504A (en) | Method and device for determining three-dimensional model of region | |
CN112053440A (en) | Method for determining individualized model and communication device | |
CN110660125A (en) | Three-dimensional modeling device for power distribution network system | |
US20080131029A1 (en) | Systems and methods for visualizing and measuring real world 3-d spatial data | |
CN116524143A (en) | GIS map construction method | |
WO2023231793A9 (en) | Method for virtualizing physical scene, and electronic device, computer-readable storage medium and computer program product | |
Qi et al. | JAED-Net: joint attention encoder–decoder network for road extraction from remote sensing images | |
CN109934903B (en) | Highlight information extraction method, system, computer equipment and storage medium | |
CN115731560A (en) | Slot line identification method and device based on deep learning, storage medium and terminal | |
CN111968145B (en) | Box type structure identification method and device, electronic equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |