CN109783591A - Space data acquisition method and device based on Internet map - Google Patents

Space data acquisition method and device based on Internet map Download PDF

Info

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
Application number
CN201811642843.6A
Other languages
Chinese (zh)
Other versions
CN109783591B (en
Inventor
陈涛
袁宏永
薛元宏
黄全义
苏国锋
***
孙占辉
杨秀中
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tsinghua University
Beijing Global Safety Technology Co Ltd
Original Assignee
Tsinghua University
Beijing Global Safety Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tsinghua University, Beijing Global Safety Technology Co Ltd filed Critical Tsinghua University
Priority to CN201811642843.6A priority Critical patent/CN109783591B/en
Publication of CN109783591A publication Critical patent/CN109783591A/en
Priority to PCT/CN2019/128707 priority patent/WO2020135585A1/en
Application granted granted Critical
Publication of CN109783591B publication Critical patent/CN109783591B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical 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

Space data acquisition method and device based on Internet map
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.
CN201811642843.6A 2018-12-29 2018-12-29 Spatial data acquisition method and device based on Internet map Active CN109783591B (en)

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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (6)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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