CN106021499A - Construction land classification method and device based on geographic information of volunteer - Google Patents

Construction land classification method and device based on geographic information of volunteer Download PDF

Info

Publication number
CN106021499A
CN106021499A CN201610342022.5A CN201610342022A CN106021499A CN 106021499 A CN106021499 A CN 106021499A CN 201610342022 A CN201610342022 A CN 201610342022A CN 106021499 A CN106021499 A CN 106021499A
Authority
CN
China
Prior art keywords
interest
point
level
rank
plot
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
CN201610342022.5A
Other languages
Chinese (zh)
Other versions
CN106021499B (en
Inventor
朱德海
陈晨如
杜利强
郭浩
杨建宇
杜振博
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.)
China Agricultural University
Original Assignee
China Agricultural University
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 China Agricultural University filed Critical China Agricultural University
Priority to CN201610342022.5A priority Critical patent/CN106021499B/en
Publication of CN106021499A publication Critical patent/CN106021499A/en
Application granted granted Critical
Publication of CN106021499B publication Critical patent/CN106021499B/en
Expired - Fee Related 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)

Abstract

The invention relates to a construction land classification method and device based on the geographic information of a volunteer. The method comprises the following steps: determining an area where a construction land to be classified is positioned; obtaining the geographic information of the volunteer of the area; determining all roads of the area and a main road in all roads; according to the main road, dividing the area to obtain a plurality of first-level plots; according to all roads, dividing the area to obtain a plurality of second-level plots; determining the level of each point of interest in the area; according to the level of each point of interest, determining the level of the plot to which the point of interest belongs, and endowing the plot to which the point of interest belongs with the attribute of the point of interest; and according to a land classification standard, determining the construction land type of the plot which is endowed with the attribute by each point of interest to obtain a classification result. The construction land classification method and device can lower cost, improve automation, shorten period and improve instantaneity and simultaneously can improve construction land classification accuracy.

Description

Construction land sorting technique based on volunteer's geography information and device
Technical field
The present invention relates to land classification technical field, especially relate to a kind of geographical based on volunteer The construction land sorting technique of information and device.
Background technology
In the last few years, during China is in high speed urbanization.Although construction land Increase Tong Bu with economic growth, but whole nation Urban Land, rural residential area and industrial and mineral land used are fast Speed increases, land used for urban and rural construction projects " two-way expansion ", illustrates the construction land of China not Go on the road saved the area.The utilization ratio of construction land is low, under equal demand, Other land-use style more can be caused to be changed into construction land, and then arable land can be affected possess Amount, and reduce ecological land.The space layout of existing all types of construction land, is to improve profit One of the monitoring by efficiency, strengthening planning implementation and the basis of management and control, and all types of for realizing The space layout of construction land, needs to classify construction land.
According to present status of land utilization criteria for classification (GB/T 21010-2007), construction land can Be divided into business to take ground, industrial and mineral warehouse land, residential land, public administration are used with public service Ground, transportation land used and these types of other construction lands.Can use traditional distant at present The mode that sense technology combines with GIS-Geographic Information System, this mode is difficult to enter construction land The above segmentation of row, so typically using the mode of on-site inspection, this method has following lacking Point: (1) automaticity is low, expend a large amount of human resources, fund and time, cost mistake High;(2) cycle is long, and after an end cycle, the purposes of part construction land changes, I.e. real-time is poor.
Goodchild teaches and proposed volunteer's geography information first in 2007 (Volunteered Geographic Information is called for short VGI), he thinks at Web 2.0 In the epoch, spatial data has been not only that expert produces, the common people consume, and everyone is to obtain The sensor fetched data, is not only data consumer, is also Producer and the biography of data simultaneously The person of broadcasting.2010, Li Deren etc. volunteer's geography information of broad sense is defined as narrow sense from Send out concept, pattern, method and technology that geography information is relevant.Thus, mass-rent data, crowd Bag platform more and more steps into the visual field of scientific researcher for the motive force of development in science and technology. 2012, Sarah Elwood etc. explored the application in each field of volunteer's geography information and dives Power, in the same year, Rodrigues F. etc. uses point of interest to consider from the angle of urban planning and analyze The situation of Land_use change.2013, J.J.Arsanjani et al. only used open route map (Open Street Map is called for short OSM) draws the present landuse map in Vienna, and Using official's data to test, accuracy is up to more than 65%.In the same year, dragon sea et al. makes Type and quantity by Sina's microblogging sign-in desk data carry out function division to its study area.Though Traditional construction land sorting technique is compared in right this research a lot of improvement, but still suffers from one A little problems: volunteer's geographic information data amount that (1) is used is less, multiple in construction land The city that miscellaneous degree is higher, can cause precision the highest;(2) different types of counting is not accounted for Different according to representative actual atural object floor space, it is important journey during type determines Spend the most different, precision can be caused the highest.
Summary of the invention
For disadvantages described above, the present invention provides a kind of construction land based on volunteer's geography information Sorting technique and device, can reduce cost, improve automatization, shortening cycle and improve in real time Property, the accuracy of construction land classification can also be improved simultaneously.
First aspect, the construction land classification side based on volunteer's geography information that the present invention provides Method includes:
According to remote sensing image data, determine the region of construction land to be sorted;
Obtaining volunteer's geography information of described region, described volunteer's geography information includes All road datas in described region and all interest point datas;
According to described road data, determine all roads of described region and described all roads Turnpike road in road;
According to described turnpike road, described region is divided, obtain multiple first level Plot;
According to described all roads, described region is divided, obtain multiple second level Plot;
According to described interest point data, determine the level of each point of interest in described region Not;
According to the rank of each point of interest, determine the affiliated plot rank of this point of interest, and should The attribute of point of interest gives the plot of described affiliated plot rank;
According to land classification standard, determine that the construction in the plot of the given attribute of each point of interest is used Ground type, obtains classification results.
Optionally, the rank of described point of interest includes first level, second level and third level;
The point of interest of described first level is for including that many buildings and internal passageway quantity are more than pre- If the point of interest of quantity;
The point of interest of described second level is for including that many buildings and internal passageway quantity are less than institute State the point of interest of predetermined number;
The point of interest of described third level is the point of interest occupying a bed rearrangement building.
Optionally, the described rank according to each point of interest, determine the affiliated plot of this point of interest Rank, including:
The rank of this point of interest is first level, determines the described affiliated plot rank of this point of interest For first level;Or
The rank of this point of interest is second level or third level, determines the described institute of this point of interest Possession block rank is second level.
Optionally, the rank of described point of interest also includes fourth level, described fourth level emerging Interest point is for sharing a building or the floor space monolayer less than preset area with other points of interest Building;Described method also includes:
If knowing that the point of interest of described fourth level is present in Atlas market indoor map through judgement In data, then the point of interest of described fourth level is rejected.
Optionally, described according to described interest point data, determine in described region each Before the rank of individual point of interest, described method also includes:
According to all interest point datas, to other in addition to construction land in described region Type land used is removed.
Optionally, described according to described interest point data, determine in described region each Before the rank of individual point of interest, described method also includes:
According to the character feature of each attribute in described interest point data, build corresponding canonical Expression formula, and be the attribute letter that each point of interest arranges coupling according to described regular expression Breath.
Optionally, described volunteer's geography information also include social platform register data and/or Atural object picture with geographical position;Described method also includes:
Register data and/or the line map in described band geographical position according to described social platform Sheet, verifies described classification results, determines the nicety of grading of construction land.
Optionally, described according to described turnpike road, described region is divided, obtain Before the plot of multiple first levels, described method also includes: is extended by each bar road and presets length Degree.
Second aspect, construction land based on the volunteer's geography information classification dress that the present invention provides Put and include:
The construction land sorting technique based on volunteer's geography information of present invention offer and device In, owing to having carried out two kinds of piecemeals when region carries out piecemeal, utilize turnpike road piecemeal to obtain The plot of the first level that multiple floor spaces are bigger, utilizes all road piecemeals to obtain multiple accounting for The plot of the second level that ground area is less.Then according to the rank of point of interest, determine suitably The rank in assignment plot, to avoid multiple points of interest separately or are not split a point of interest Open, thus improve the accuracy of construction land classification.The sorting technique that the present invention provides need not Artificial on-site inspection, therefore has low cost, automaticity is high, the cycle is short, real-time is high Advantage.Meanwhile, ground block-grading, point of interest classification, the then point of interest of different stage are used Classifying the plot of different stage, i.e. for different points of interest, its determined is affiliated The rank in plot is different, it is contemplated that face shared by the actual atural object representated by the point of interest of different stage Long-pending difference, improves the accuracy of construction land classification.
Accompanying drawing explanation
By inventive feature information and advantage, accompanying drawing can be more clearly understood from reference to accompanying drawing It is schematic and should not be construed as the present invention is carried out any restriction, in the accompanying drawings:
Fig. 1 shows and uses according to construction based on volunteer's geography information in one embodiment of the invention The schematic flow sheet of ground sorting technique;
Fig. 2 shows and uses according to construction based on volunteer's geography information in one embodiment of the invention The structured flowchart of ground sorter.
Detailed description of the invention
In order to be more clearly understood that the above-mentioned purpose of the present invention, feature and advantage, knot below Close the drawings and specific embodiments the present invention is further described in detail.Need explanation It is that, in the case of not conflicting, the feature in embodiments herein and embodiment can be mutual Combination.
Elaborate a lot of detail in the following description so that fully understanding the present invention, but It is that the present invention can implement to use other to be different from other modes described here, therefore, Protection scope of the present invention is not limited by following public specific embodiment.
As it is shown in figure 1, the present invention provides a kind of construction land based on volunteer's geography information to divide Class method, the method includes:
S101, according to remote sensing image data, determine the region of construction land to be sorted;
It will be appreciated that remote sensing image data is resolved, just can determine that and to carry out classifying Region.
S102, obtaining volunteer's geography information of described region, described volunteer's geography is believed Breath includes all road datas in described region and all interest point datas;
Wherein, volunteer's geography information can obtain on the internet, these information be disclosed, Free.The data that so-called interest point data i.e. POI (Point of Interest) is relevant.Road Circuit-switched data can obtain in the OSM (Open Street Map), the road data amount of acquisition is big, Accuracy rate is high, renewal speed is fast.
S103, according to described road data, determine all roads of described region and described Turnpike road in all roads;
S104, according to described turnpike road, described region is divided, obtain multiple The other plot of one-level;
It will be appreciated that utilize turnpike road that region is divided, the first level obtained Block area is generally large.
S105, according to described all roads, described region is divided, obtain multiple The plot of two ranks;
It will be appreciated that utilize all roads that region is divided, the second level obtained Block area is typically small.
S106, according to described interest point data, determine each interest in described region The rank of point;
S107, rank according to each point of interest, determine the affiliated plot rank of this point of interest, And the attribute of this point of interest is given the plot of described affiliated plot rank;
Here the most above-mentioned first level of plot rank, second level.Due to point of interest rank Difference, the rank in the plot of its assignment is different.
S108, according to land classification standard, determine the plot of the given attribute of each point of interest Construction land type, obtains classification results.
Wherein, land classification standard can be currently used present status of land utilization criteria for classification, According to its criteria for classification, construction land can be divided into business to take ground, industrial and mineral warehouse land, house Land used, public administration and public service land used, transportation land used or other construction land types.
For example, certain point of interest includes that many buildings and internal passageway quantity are more than present count The point of interest of amount, such point of interest typically constitutes from ground area and more greatly, even occupies whole block, Such as institution of higher learning, airport etc., be defined as the point of interest of first level, due to such emerging Include more road in interest point, therefore the attribute of this point of interest should be given when carrying out assignment The plot of the first level belonging to this point of interest, to avoid this point of interest divided, causes building Land use class mistake.
The most such as, certain point of interest is for including many buildings but internal passageway quantity is less than described pre- If the point of interest of quantity, although but such point of interest includes many buildings because road is less respectively Individual building compares concentration, such as residential quarters, industrial park etc., is defined as the emerging of second level Interest point.Such point of interest is less due to road, and a turnpike road can have multiple such Point of interest, therefore should give the attribute of this point of interest belonging to this point of interest when carrying out assignment The plot of second level, to avoid not separated by multiple points of interest, causes construction land to be classified Mistake.
The most such as, certain point of interest occupy one bed rearrangement building point of interest, such as big companies, Star hotel, library etc., same such point of interest, owing to not having road, is therefore being carried out The attribute of this point of interest should be given during assignment the plot of second level belonging to this point of interest.
In the construction land sorting technique that the present invention provides, owing to carrying out when region is carried out piecemeal Two kinds of piecemeals, utilize the turnpike road piecemeal to obtain the bigger first level of multiple floor space Plot, utilizes all road piecemeals to obtain the plot of the less second level of multiple floor space. Then according to the rank of point of interest, the rank in suitable assignment plot is determined, to avoid one Multiple points of interest separately or are not separated by point of interest, thus improve the accurate of construction land classification Property.The present invention provide sorting technique need not artificial on-site inspection, therefore have low cost, The advantage that automaticity is high, the cycle is short, real-time is high.Meanwhile, ground block-grading, emerging is used Interest point classification, then classified in the plot of different stage by the point of interest of different stage, i.e. pin To different points of interest, the rank in its affiliated plot determined is different, it is contemplated that different stage The actual atural object occupied area representated by point of interest different, improve the accurate of construction land classification Property.
Certainly, also with the point of interest of a kind of rank, this point of interest and other points of interest share one Seat building or floor space less than the single story building of preset area, such as eating and drinking establishment, shopping shop etc., It is defined as the point of interest of fourth level.Wherein, floor space is built less than the monolayer of preset area Build, the such as area one-storey house less than 30.Processing method for this kind of point of interest may include that
If knowing that the point of interest of described fourth level is present in Atlas market indoor map through judgement In data, then the point of interest of described fourth level is rejected.
Wherein, Atlas market indoor map provides the market map of developer's real-time update, including Shanghai, Beijing, Guangzhou, Chengdu (etc. ground more than 400 markets, retail shop's data, simultaneously The purchasing by group of Pei Ge retail shop, film ticket, comment data.
Here, to the point of interest being present in the indoor map data of Atlas market, if again to its institute If the plot belonged to carries out assignment classification, classification can be caused to overflow, be deleted the most here, Improve classification accuracy further.Certainly, if being not present in the indoor map data of Atlas market, Then this point of interest is considered as single atural object, now can take up an area size according to it and determine plot rank, Then carry out assignment, thus complete the classification in plot belonging to this point of interest.
In the specific implementation, owing to point of interest comes from electronic chart, there is careful, the class of classification Type advantage widely, in order to be further ensured that classification accuracy, all right before classifying: According to all interest point datas, to other types in addition to construction land in described region Land used is removed, thus avoids the other types land used in addition to construction land to cause classification dry Disturb.
In the specific implementation, find there is the attribute information of small part point of interest through data check The most corresponding situation, at this moment can use following methods is the attribute that each point of interest arranges coupling Information: according to the character feature of each attribute in described interest point data, is just building correspondence Then expression formula, and be the attribute letter that each point of interest arranges coupling according to described regular expression Breath.
Here, by building regular expression, it is then each interest according to regular expression Point arranges the attribute information of coupling, i.e. corresponding text and digital information, improves followed by tax The accuracy of value, and then improve the accuracy of classification.
In the specific implementation, owing to there is the road not phase that the operating error of OSM volunteer causes The problem connect, therefore can before dividing described region according to described turnpike road So that each bar road is extended preset length.It is, of course, also possible to still do not have and it after extending The part that his road connects is pruned.
In the specific implementation, step S103 can also including, the different stage according to road sets The relief area of different in width, i.e. carries out different in width to different types of road and widens, and improves The accuracy that point of interest rank determines.
In the specific implementation, volunteer's geography information also include social platform register data and/ Or the atural object picture in band geographical position;Described method may also include that
Register data and/or the line map in described band geographical position according to described social platform Sheet, verifies described classification results, determines the nicety of grading of construction land.
Wherein, the atural object picture in band geographical position can obtain from Panoramio platform.Social flat The data of registering of the data of registering of platform, such as Sina's microblogging.
Here, utilize the mode of checking to determine the precision of classification, thus learn above-mentioned sorting technique The most reliable.By checking, the accuracy of classification is more than 90%.
Based on identical inventive concept, the present invention also provides for a kind of based on volunteer's geography information Construction land sorter, as in figure 2 it is shown, this device 200 includes:
First determines module 201, for according to remote sensing image data, determines that to be sorted construction is used The region on ground;
Acquisition module 202, for obtaining volunteer's geography information of described region, described Volunteer's geography information includes all road datas in described region and all points of interest Data;
Second determines module 203, for according to described road data, determines described region All roads and described all roads in turnpike road;
First divides module 204, for carrying out described region according to described turnpike road Divide, obtain the plot of multiple first level;
Second divides module 205, for carrying out described region according to described all roads Divide, obtain the plot of multiple second level;
3rd determines module 206, for according to described interest point data, determines described location The rank of each point of interest in territory;
Assignment module 207, for the rank according to each point of interest, determines the institute of this point of interest Possession block rank, and the attribute of this point of interest is given the plot of described affiliated plot rank;
4th determines module 208, for according to land classification standard, determines each point of interest institute Give the construction land type in the plot of attribute, obtain classification results.
Optionally, the rank of described point of interest includes first level, second level and third level;
The point of interest of described first level is for including that many buildings and internal passageway quantity are more than pre- If the point of interest of quantity;
The point of interest of described second level is for including that many buildings and internal passageway quantity are less than institute State the point of interest of predetermined number;
The point of interest of described third level is the point of interest occupying a bed rearrangement building.
In the present invention, term " first ", " second ", " the 3rd ", " the 4th " are only used for retouching State purpose, and it is not intended that indicate or hint relative importance.Term " multiple " refers to two Or two or more, unless otherwise clear and definite restriction.
Although being described in conjunction with the accompanying embodiments of the present invention, but those skilled in the art can To make various modifications and variations without departing from the spirit and scope of the present invention, so Amendment and within the scope of modification each falls within and is defined by the appended claims.

Claims (10)

1. a construction land sorting technique based on volunteer's geography information, it is characterised in that Including:
According to remote sensing image data, determine the region of construction land to be sorted;
Obtaining volunteer's geography information of described region, described volunteer's geography information includes All road datas in described region and all interest point datas;
According to described road data, determine all roads of described region and described all roads Turnpike road in road;
According to described turnpike road, described region is divided, obtain multiple first level Plot;
According to described all roads, described region is divided, obtain multiple second level Plot;
According to described interest point data, determine the level of each point of interest in described region Not;
According to the rank of each point of interest, determine the affiliated plot rank of this point of interest, and should The attribute of point of interest gives the plot of described affiliated plot rank;
According to land classification standard, determine that the construction in the plot of the given attribute of each point of interest is used Ground type, obtains classification results.
Method the most according to claim 1, it is characterised in that the rank of described point of interest Including first level, second level and third level;
The point of interest of described first level is for including that many buildings and internal passageway quantity are more than pre- If the point of interest of quantity;
The point of interest of described second level is for including that many buildings and internal passageway quantity are less than institute State the point of interest of predetermined number;
The point of interest of described third level is the point of interest occupying a bed rearrangement building.
Method the most according to claim 2, it is characterised in that described according to each interest The rank of point, determines the affiliated plot rank of this point of interest, including:
The rank of this point of interest is first level, determines the described affiliated plot rank of this point of interest For first level;Or
The rank of this point of interest is second level or third level, determines the described institute of this point of interest Possession block rank is second level.
Method the most according to claim 2, it is characterised in that the rank of described point of interest Also include that fourth level, the point of interest of described fourth level are built for sharing one with other points of interest Build or floor space is less than the single story building of preset area;Described method also includes:
If knowing that the point of interest of described fourth level is present in Atlas market indoor map through judgement In data, then the point of interest of described fourth level is rejected.
Method the most according to claim 1, it is characterised in that described according to described interest Point data, determines in described region before the rank of each point of interest, described method Also include:
According to all interest point datas, to other in addition to construction land in described region Type land used is removed.
Method the most according to claim 1, it is characterised in that described according to described interest Point data, determines in described region before the rank of each point of interest, described method Also include:
According to the character feature of each attribute in described interest point data, build corresponding canonical Expression formula, and be the attribute letter that each point of interest arranges coupling according to described regular expression Breath.
Method the most according to claim 1, it is characterised in that described volunteer's geography is believed Breath also includes the atural object picture in register data and/or the band geographical position of social platform;Described side Method also includes:
Register data and/or the line map in described band geographical position according to described social platform Sheet, verifies described classification results, determines the nicety of grading of construction land.
Method the most according to claim 1, it is characterised in that described according to described trunk Described region is divided by road, before obtaining the plot of multiple first level, described Method also includes: each bar road is extended preset length.
9. a construction land sorter based on volunteer's geography information, it is characterised in that Including:
First determines module, for according to remote sensing image data, determines construction land to be sorted Region;
Acquisition module, for obtaining volunteer's geography information of described region, described aspiration Person's geography information includes all road datas in described region and all interest point datas;
Second determines module, for according to described road data, determines the institute of described region There is the turnpike road in road and described all roads;
First divides module, for carrying out drawing to described region according to described turnpike road Point, obtain the plot of multiple first level;
Second divides module, for carrying out drawing to described region according to described all roads Point, obtain the plot of multiple second level;
3rd determines module, is used for according to described interest point data, in determining described region In the rank of each point of interest;
Assignment module, for the rank according to each point of interest, determines the institute possession of this point of interest Block rank, and the attribute of this point of interest is given the plot of described affiliated plot rank;
4th determines module, for according to land classification standard, determines that each point of interest is given The construction land type in the plot of attribute, obtains classification results.
Device the most according to claim 9, it is characterised in that the level of described point of interest Do not include first level, second level and third level;
The point of interest of described first level is for including that many buildings and internal passageway quantity are more than pre- If the point of interest of quantity;
The point of interest of described second level is for including that many buildings and internal passageway quantity are less than institute State the point of interest of predetermined number;
The point of interest of described third level is the point of interest occupying a bed rearrangement building.
CN201610342022.5A 2016-05-20 2016-05-20 Construction land classification method and device based on volunteer geographic information Expired - Fee Related CN106021499B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610342022.5A CN106021499B (en) 2016-05-20 2016-05-20 Construction land classification method and device based on volunteer geographic information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610342022.5A CN106021499B (en) 2016-05-20 2016-05-20 Construction land classification method and device based on volunteer geographic information

Publications (2)

Publication Number Publication Date
CN106021499A true CN106021499A (en) 2016-10-12
CN106021499B CN106021499B (en) 2020-12-15

Family

ID=57095476

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610342022.5A Expired - Fee Related CN106021499B (en) 2016-05-20 2016-05-20 Construction land classification method and device based on volunteer geographic information

Country Status (1)

Country Link
CN (1) CN106021499B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106778547A (en) * 2016-11-29 2017-05-31 中南大学 The construction method and device of remote sensing image terrain classification pattern library
CN107133900A (en) * 2017-04-05 2017-09-05 中国农业大学 Urban land mixing utilizes feature grid computational methods and device
CN107247938A (en) * 2017-06-08 2017-10-13 中国科学院遥感与数字地球研究所 A kind of method of high-resolution remote sensing image City Building function classification
CN112069273A (en) * 2020-08-13 2020-12-11 丰图科技(深圳)有限公司 Address text classification method and device, electronic equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521598A (en) * 2011-12-16 2012-06-27 北京市城市规划设计研究院 Identification method based on remote-sensing image
US20150071528A1 (en) * 2013-09-11 2015-03-12 Digitalglobe, Inc. Classification of land based on analysis of remotely-sensed earth images
CN104834666A (en) * 2015-03-06 2015-08-12 中山大学 Acoustic environment functional area partitioning method based on road network and interest points

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521598A (en) * 2011-12-16 2012-06-27 北京市城市规划设计研究院 Identification method based on remote-sensing image
US20150071528A1 (en) * 2013-09-11 2015-03-12 Digitalglobe, Inc. Classification of land based on analysis of remotely-sensed earth images
CN104834666A (en) * 2015-03-06 2015-08-12 中山大学 Acoustic environment functional area partitioning method based on road network and interest points

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
于翔: "基于城市公交刷卡数据和兴趣点的城市功能区识别研究——以北京市为例", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106778547A (en) * 2016-11-29 2017-05-31 中南大学 The construction method and device of remote sensing image terrain classification pattern library
CN106778547B (en) * 2016-11-29 2020-06-30 中南大学 Method and device for constructing remote sensing image ground feature classification reference library
CN107133900A (en) * 2017-04-05 2017-09-05 中国农业大学 Urban land mixing utilizes feature grid computational methods and device
CN107247938A (en) * 2017-06-08 2017-10-13 中国科学院遥感与数字地球研究所 A kind of method of high-resolution remote sensing image City Building function classification
CN112069273A (en) * 2020-08-13 2020-12-11 丰图科技(深圳)有限公司 Address text classification method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN106021499B (en) 2020-12-15

Similar Documents

Publication Publication Date Title
Qi et al. Spatial spillover effects of logistics infrastructure on regional development: Evidence from China
Mardacany Smart cities characteristics: Importance of built environment components
Yagoub Monitoring of urban growth of a desert city through remote sensing: Al-Ain, UAE, between 1976 and 2000
Kim et al. Straw effects of new highway construction on local population and employment growth
CN106021499A (en) Construction land classification method and device based on geographic information of volunteer
CN103337035A (en) Method for determining site selection of urban center system based on quantitative evaluation
CN114969007A (en) Urban functional area identification method based on function mixing degree and integrated learning
CN107506433A (en) Urban development space general layout Scene Simulation system
CN110633895A (en) Characteristic town evaluation method based on geographic information
Xie et al. A least cumulative ventilation cost method for urban ventilation environment analysis
Domingo et al. Long-term changes in 3D urban form in four Spanish cities
Baig et al. Rural tourism, income and rapid urbanization: exploring the nexus using a multidisciplinary approach for Hunza, Pakistan
Yuan et al. From design to digital model: A quantitative analysis approach to Garden Cities theory
Chaudhuri et al. Application of web-based Geographical Information System (GIS) in tourism development
Tian et al. Suburban sprawl measurement and landscape analysis of cropland and ecological land: A case study of Jiangsu Province, China
Liu et al. A multilevel stratified spatial sampling approach based on terrain knowledge for the quality assessment of OpenStreetMap dataset in Hong Kong
CN111914052A (en) Method and device for determining regional spatial incidence relation
Kickert et al. Surveying density, urban characteristics, and development capacity of station areas in the Delta Metropolis
Berg Categorising a historic building stock-an interdisciplinary approach
CN114170441B (en) Roadside tree automatic extraction method based on geographic national condition data and image classification
Wan et al. Contribution degree of different surface factors in urban interior to urban thermal environment
Abdullahi et al. Urban compactness assessment
Wang Design of public building space in smart city based on big data
CN106202495A (en) Scene Information Integration Method Based on Internet GIS
Yu [Retracted] Simulation and Application of Urban Road Landscape Based on Geographic Information Data

Legal Events

Date Code Title Description
C06 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
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20201215

CF01 Termination of patent right due to non-payment of annual fee