CN106409128A - Automatic processing method for essential factors of remote-sensing image railway thematic map - Google Patents

Automatic processing method for essential factors of remote-sensing image railway thematic map Download PDF

Info

Publication number
CN106409128A
CN106409128A CN201610705562.5A CN201610705562A CN106409128A CN 106409128 A CN106409128 A CN 106409128A CN 201610705562 A CN201610705562 A CN 201610705562A CN 106409128 A CN106409128 A CN 106409128A
Authority
CN
China
Prior art keywords
automatically
sensing image
symbol
remote sensing
data
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
CN201610705562.5A
Other languages
Chinese (zh)
Other versions
CN106409128B (en
Inventor
杜辉
黄守鑫
王长进
张朋明
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.)
Third Railway Survey and Design Institute Group Corp
Original Assignee
Third Railway Survey and Design Institute Group Corp
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 Third Railway Survey and Design Institute Group Corp filed Critical Third Railway Survey and Design Institute Group Corp
Priority to CN201610705562.5A priority Critical patent/CN106409128B/en
Publication of CN106409128A publication Critical patent/CN106409128A/en
Application granted granted Critical
Publication of CN106409128B publication Critical patent/CN106409128B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00Maps; Plans; Charts; Diagrams, e.g. route diagram
    • G09B29/003Maps
    • G09B29/006Representation of non-cartographic information on maps, e.g. population distribution, wind direction, radiation levels, air and sea routes
    • G09B29/008Touring maps or guides to public transport networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Mathematical Physics (AREA)
  • Ecology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Processing Or Creating Images (AREA)
  • Image Analysis (AREA)

Abstract

The invention discloses an automatic processing method for essential factors of a remote-sensing image railway thematic map. The method comprises technical steps that a base map of a remote sensing image is processed automatically, and aberration and color cast of batch of remote sensing image data are processed automatically; a route mileage is drafted automatically, and mileage marks and characters are drafted automatically by being perpendicular to a path; bridge and tunnel symbols are drafted automatically according to a foreground color; entrances and exits of the tunnels are drafted automatically; a station symbol is drafted automatically, and the length of a station mark and orientations of platforms are determined according to positions specified by a user; an inclined line filling mode is customized according to specific modes and angles; and the essential factors of the thematic map are integrated by adjusting the data topological relation of the essential factors of the thematic maps according to a map integration principle and integrating the data according to a file management mode.

Description

A kind of remote sensing image railway thematic maps key element automatic processing method
Technical field
The present invention relates to thematic charting technology, more particularly to remote sensing image data automatically process and scheme interior key element automatically painting Method processed.
Background technology
The continuous intensification built with Chinese Railway, thematic maps is increasingly widely used in the complete of Environment in Railway Engineering Construction Life cycle.In remote sensing image railway thematic maps, the railway thematic factor of broad sense includes:Remote sensing image base map, rail track are walked To line position, mileage, station, bridge, tunnel and the control selector affecting line alignment.
Concrete manifestation form in map for these thematic factor is base map, point, line, surface, word etc..Due to most of Figure drawing platform is not provided that the automatic drafting of above thematic factor, and thematic information does not go out according to certain certain rule in figure Existing, therefore can not draw in batches.Therefore current technology means are mainly manual drawing, are often to improve efficiency in drawing course By the way of transferring legend storehouse, but the graphical sysmbol shape of this method call, angle, color are fixed value, and the later stage compiles Collect work huge, be unfavorable for the raising of drawing efficiency.
Content of the invention
For problem present in existing thematic charting method, the present invention proposes a kind of remote sensing image railway thematic maps will Plain automatic processing method, it is intended that pressing Image Processing parameter or the template that designer proposes, carries out color to remote sensing image Difference, the automatic batch of colour cast aspect are processed;And carry out figure according to the good point position requirement of designed in advance, pattern, size, color Automatic drafting, the figure achievement of drafting has editability and the reusability of height, thus effectively improving thematic charting Operating efficiency.
A kind of remote sensing image railway thematic maps key element automatic processing method according to the present invention, technical step includes:Distant Sense image map automatically processes, and automatically draws circuit mileage, automatically draws bridge, tunnelled symbol, automatically draws tunnel gateway, Automatically draw station symbol, customization oblique line fill pattern, thematic maps key element integrated.
S1, remote sensing image base map automatically process
For the feature of remote sensing image, remote sensing image terrain surface specifications data bank is chosen the batch processing template specified, right The aberration that batch remote sensing image exists and colour cast are automatically processed.Template data set covers LandSat_TM data, SPOT number Defend according to, the multispectral data such as ALOS data, QuickBird data, DigitalGlobe data, DMC data and network share Star tile data.
S2, automatically drafting circuit mileage
Automatically process on the remote sensing image base map performance basis that step obtains in S1 remote sensing image base map, select rail track Path, according to 5 kilometers, 10 kilometers, 20 kilometers, 50 kilometers of four kinds of normal spaces, on the basis of the broken line that path node is constituted, presses Perpendicular to the pattern in path, automatically draw mileage mark and mileage word, mark and mileage are full vector pattern.
S3, automatically drafting bridge, tunnelled symbol
It is the center of circle by first point specifying, draw bridge Warning Mark circle, 25 millimeters of diameter, be three by the second point specified The summit of angular Warning Mark, by the angle automatic decision symbol plotting type of line segments and the horizontal direction of 2 points of formation, automatically Draw instruction triangle, retouch side by four pixels after merging above shape and obtain full vector bridge symbol, retouching side color is foreground; Centered on first point specifying, draw tunnel Warning Mark rectangle 12*30 millimeter, indicate for triangle by the second point specified The summit of mark, similar to bridge drawing rule, automatically draw instruction triangle, retouch by four pixels after merging rectangle and triangle While obtaining full vector tunnelled symbol, retouching side color is foreground.
S4, automatically drafting tunnel gateway
According to foreground color, according to the input distance of point-to-point transmission and its angle automatic decision specification with circuit, and automatically Draw tunnel gateway, by 5 millimeters, 8 millimeters of two kinds of standards automatically draw tunnel gateway symbol.Sentenced according to the order of input point Disconnected drafting direction, draws for tunnel left-hand from top to bottom, draws for dextrad from bottom to top.
S5, automatically drafting station symbol
According to inputting first point determines the center of circle of station symbol circle symbol;Station center is determined according to the second point of input Position, first point of length with the distance between second point determination station symbol;The thirdly instruction station platform direction of input. The color of drafting symbol is consistent with foreground.
S6, customization oblique line fill pattern
Draw two parallel lines, live width and distance between centers of tracks are filling line style and filling distance between centers of tracks, are rotated on request, Angle is the anglec of rotation of filling line;Search for image repetitive by the eight neighborhood of image:Principle is to ensure that in figure inside with side Image-element congruence;Cutting and define filling pattern, completes to customize oblique line fill pattern.
S7, thematic maps key element integrated
Thematic maps key element is carried out with data topology relation adjustment and according to file management mould by cartographic generaliztion principle Formula, is named by standard and classifies to figure layer collecting.
A kind of remote sensing image railway thematic maps key element automatic processing method of the present invention, can automatically process high-volume distant The aberration of sense image data and colour cast, draw railway thematic maps key element automatically.Make editor's work of thematic information in drawing course It is greatly reduced as amount, effectively improve drawing efficiency and imaging quality.
Brief description
Fig. 1, a kind of flow chart of remote sensing image railway thematic maps key element automatic processing method.
In figure description of symbols:
S1, remote sensing image base map automatically process
S2, automatically drafting circuit mileage
S3, automatically drafting bridge, tunnelled symbol
S4, automatically drafting tunnel gateway
S5, automatically drafting station symbol
S6, customization oblique line fill pattern
S7, map elements integrated
Specific embodiment
A kind of remote sensing image railway thematic maps key element automatic processing method according to the present invention, technical step includes:Distant Sense image map automatically processes (S1), automatically draws circuit mileage (S2), automatically draws bridge, tunnelled symbol (S3), automatically paint Tunnel processed gateway (S4), automatically draws station symbol (S5), customization oblique line fill pattern (S6), thematic maps key element integrated (S7).
S1, remote sensing image base map automatically process
For the feature of remote sensing image, remote sensing image terrain surface specifications data bank is chosen the batch processing template specified, right The aberration that batch remote sensing image exists and colour cast are automatically processed.The QuickBird of such as certain 0.61 meter of resolution ratio is multispectral Data, during shooting, meteorological condition is not good, and color is partially blue and brightness of image is not enough.Remote sensing image terrain surface specifications data set selects Take QuickBird data template, for the particular problem fine-tuning template of the quality of image, using single channel, hybrid channel curve, choosing Take the means such as Color Channel that the aberration of batch QuickBird image data and colour cast are automatically processed.
S2, automatically drafting circuit mileage
Draw designed lines path on the remote sensing image base map that S1 handles well, select this path, be spaced according to 5 kilometers (with mapping scale for 1:As a example 5000), on the basis of the broken line that path node is constituted, by the pattern perpendicular to path, automatically Mark mileage mark and mileage word, mileage mark character "-" represents.
S3, automatically drafting bridge, tunnelled symbol
Draw bridge and tunnelled symbol by following principle:Symbol does not cover settlement place annotation, important control in figure as far as possible Information, is not covered mutually with adjacent thematic symbol.
First point specifying is the center of circle, draws bridge Warning Mark circle, 25 millimeters of diameter;It is triangle by the second point specified The summit of shape Warning Mark, calculates the angle of line segments and the horizontal direction of 2 points of formation, when angle 90 degree and 180 degree between when Using first via paint type, adopt second paint type when between angle is in 180 degree to 270 degree, when angle is at 270 degree The third paint type is adopted during between 360 degree;Merge circle and retouch side with triangle Warning Mark by four pixels and foreground Obtain full vector bridge symbol.
Centered on first point specifying, draw tunnel Warning Mark rectangle 12*30 millimeter, be three by the second point specified The summit of angular Warning Mark, the line segment of 2 points of formation and the angle of horizontal direction, adopt when angle is between 15 degree to 165 degree With first type draw, when angle is between 165 degree to 195 degree adopt second type drafting, when angle at 195 degree extremely The third type is adopted to draw when between 345 degree, when angle adopts the 4th type to draw when other are interval;Merge rectangle with Retouch side by four pixels and foreground after triangle Warning Mark and obtain full vector tunnelled symbol.
S4, automatically drafting tunnel gateway
According to foreground, automatically draw tunnel gateway symbol by 5 millimeters of standards:Order according to input point judges drafting side To, that is, from top to bottom, it is in draw for tunnel left-hand when 90 degree with horizontal direction angle, formation tunnel portal;From bottom to top, with water When flat angular separation is in 270 degree, tunnel is drawn for dextrad, forms tunnel exit.Three sections of line ratios of symbol are 1:2:1, angle two-by-two It is 135 degree.
S5, automatically drafting station symbol
According to inputting first point determines the center of circle of station symbol circle symbol;Station center is determined according to the second point of input Position, first point of length with the distance between second point determination station symbol;The thirdly instruction station platform direction of input. The color of drafting symbol is consistent with foreground.Automatically draw station symbol to carry out as follows:
1. read present figure foreground.
2. input first point, determine station circle marker present position, cylindrical according to 10 millimeters of drafting stations of diameter, paint Color processed is depending on foreground, then presses 9.5 millimeters of drafting white station inner circles of diameter, forms the outline of circle marker.
3. according to 10 millimeters of overall diameter, 6 millimeters of interior diameter, that is, thickness is 4 millimeters of drafting station semi-circulars, color and prospect Color is identical.
4. input second point, determine the length of station symbol cathetus section by first point of distance and between second point, directly 0.5 millimeter of line segment live width, color adopts foreground.
5. merge above symbol, complete the drafting of station symbol.
S6, customization oblique line fill pattern
Read present figure foreground.Draw straight line, then parallel lines are obtained using copy command duplication, live width is 5 Pixel, distance between centers of tracks is 35 pixels, and above parameter is filling line style and filling distance between centers of tracks, by 40 degree of angles, parallel lines is revolved Turn;By the eight neighborhood search pixel fills unit of image it is ensured that with other inner side image-element congruence in figure, cutting and defining is filled out Fill pattern, complete to customize oblique line fill pattern.
S7 thematic maps key element integrated
Thematic maps key element is carried out with data topology relation adjustment and according to file management mould by cartographic generaliztion principle Formula, is named by standard and classifies to figure layer collecting.Thematic information figure layer collection includes:Line position, mileage, station, bridge, tunnel Road, Di Kuang circle, protection zone, planning region.

Claims (7)

1. a kind of remote sensing image railway thematic maps key element automatic processing method is it is characterised in that technical step includes:Remote sensing shadow As base map automatically processes (S1), automatically draw circuit mileage (S2), automatically draw bridge, tunnelled symbol (S3), automatically draw tunnel Road gateway (S4), automatically draws station symbol (S5), customization oblique line fill pattern (S6), thematic maps key element integrated (S7);
Described remote sensing image base map automatically processes (S1)
For the feature of remote sensing image, remote sensing image terrain surface specifications data bank is chosen the batch processing template specified, to batch The aberration that remote sensing image exists and colour cast are automatically processed;
Described automatic drafting circuit mileage (S2)
Automatically process on the remote sensing image base map performance basis that step obtains in S1 remote sensing image base map, select rail track road Footpath, on the basis of the broken line that path node is constituted;
Described automatic drafting bridge, tunnelled symbol (S3)
It is the center of circle by first point specifying, draw bridge Warning Mark circle, 25 millimeters of diameter, be triangle by the second point specified The summit of Warning Mark, by line segment and the angle automatic decision symbol plotting type of horizontal direction of 2 points of formation, draws automatically Instruction triangle, retouches side by four pixels after merging above shape and obtains full vector bridge symbol, and retouching side color is foreground;By finger Centered on fixed first point, draw tunnel Warning Mark rectangle 12*30 millimeter, be triangle Warning Mark by the second point specified Summit, similar to bridge drawing rule, automatically draw instruction triangle, retouch side by four pixels after merging rectangle and triangle and obtain To full vector tunnelled symbol, retouching side color is foreground;
Described automatic drafting tunnel gateway (S4)
According to foreground color, according to the input distance of point-to-point transmission and its angle automatic decision specification with circuit, and automatically draw Tunnel gateway;By 5 millimeters, 8 millimeters of two kinds of specifications draftings;
Described automatic drafting station symbol (S5)
According to inputting first point determines the center of circle of station symbol circle symbol;Second point according to input determines station centre bit Put, first point of length with the distance between second point determination station symbol;The thirdly instruction station platform direction of input;Paint The color of symbol processed is consistent with foreground;
Described customization oblique line fill pattern (S6)
Draw two parallel lines, live width and distance between centers of tracks are filling line style and filling distance between centers of tracks, are rotated on request, angle The anglec of rotation for filling line;Find image repetitive, cutting and define filling pattern, complete to customize oblique line fill mould Formula;
Integrated (S7) of described thematic maps key element
By cartographic generaliztion principle, thematic maps key element is carried out with data topology relation adjustment and carry out according to document management mode Data integration.
2. as claimed in claim 1 a kind of remote sensing image railway thematic maps key element automatic processing method it is characterised in that:Institute The remote sensing image base map stated automatically process (S1) step employing template data set cover LandSat_TM data, spot data, The multispectral datas such as ALOS data, QuickBird data, DigitalGlobe data, DMC data and network share satellite watt Sheet data.
3. as claimed in claim 1 a kind of remote sensing image railway thematic maps key element automatic processing method it is characterised in that:Institute The automatic drafting circuit mileage of automatic drafting circuit mileage (S2) step stated is according to 5 kilometers, 10 kilometers, 20 kilometers, 50 public affairs In the interval automatic marking mileage of four kinds of standards and attached mark, mark and mileage are full vector pattern.
4. as claimed in claim 1 a kind of remote sensing image railway thematic maps key element automatic processing method it is characterised in that:Institute The automatic drafting bridge that the automatic drafting bridge stated, tunnelled symbol (S3) step are mentioned, tunnelled symbol refer to the offline road of Dingyuan Put and occupy the point on circuit, by this 2 points of angles coming between slope calculations and automatic decision and horizontal line, determine that symbol is painted Direction processed and Warning Mark length, the bridge finally completed and tunnelled symbol are full vector form, have complete editable Characteristic.
5. as claimed in claim 1 a kind of remote sensing image railway thematic maps key element automatic processing method it is characterised in that:Institute The tunnel gateway symbol that automatic drafting tunnel gateway (S4) step stated is drawn is that the order according to input point judges to draw Direction, draws for tunnel left-hand from top to bottom, draws for dextrad from bottom to top.
6. as claimed in claim 1 a kind of remote sensing image railway thematic maps key element automatic processing method it is characterised in that:Institute What customization oblique line fill pattern (S6) step stated was mentioned finds image repetitive is to repeat picture by the eight neighborhood search of image Plain fills unit is it is ensured that other inner side image-element is congruent together in figure.
7. as claimed in claim 1 a kind of remote sensing image railway thematic maps key element automatic processing method it is characterised in that:Institute What integrated (S7) step of the thematic maps key element stated was mentioned carries out data integration according to document management mode, is with reference to file pipe Reason pattern, is named by standard and classifies to figure layer collecting.
CN201610705562.5A 2016-08-23 2016-08-23 A kind of remote sensing image railway thematic maps element automatic processing method Active CN106409128B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610705562.5A CN106409128B (en) 2016-08-23 2016-08-23 A kind of remote sensing image railway thematic maps element automatic processing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610705562.5A CN106409128B (en) 2016-08-23 2016-08-23 A kind of remote sensing image railway thematic maps element automatic processing method

Publications (2)

Publication Number Publication Date
CN106409128A true CN106409128A (en) 2017-02-15
CN106409128B CN106409128B (en) 2018-11-27

Family

ID=58004261

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610705562.5A Active CN106409128B (en) 2016-08-23 2016-08-23 A kind of remote sensing image railway thematic maps element automatic processing method

Country Status (1)

Country Link
CN (1) CN106409128B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112348873A (en) * 2020-11-06 2021-02-09 江南造船(集团)有限责任公司 Method, system, medium and device for marking three-dimensional size of ship pipe section model

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3788466B2 (en) * 2004-04-12 2006-06-21 セイコーエプソン株式会社 Diagram creation apparatus and diagram creation method
CN101887592A (en) * 2010-07-30 2010-11-17 中国测绘科学研究院 Drawing method for vector graphic map symbols
CN103093484A (en) * 2013-01-05 2013-05-08 武汉中地数码科技有限公司 Integrated batch drawing method of remote-sensing image and vector data
CN103345769A (en) * 2013-07-17 2013-10-09 铁道第三勘察设计院集团有限公司 Full-path remote-sensing image thematic charting method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3788466B2 (en) * 2004-04-12 2006-06-21 セイコーエプソン株式会社 Diagram creation apparatus and diagram creation method
CN101887592A (en) * 2010-07-30 2010-11-17 中国测绘科学研究院 Drawing method for vector graphic map symbols
CN103093484A (en) * 2013-01-05 2013-05-08 武汉中地数码科技有限公司 Integrated batch drawing method of remote-sensing image and vector data
CN103345769A (en) * 2013-07-17 2013-10-09 铁道第三勘察设计院集团有限公司 Full-path remote-sensing image thematic charting method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112348873A (en) * 2020-11-06 2021-02-09 江南造船(集团)有限责任公司 Method, system, medium and device for marking three-dimensional size of ship pipe section model

Also Published As

Publication number Publication date
CN106409128B (en) 2018-11-27

Similar Documents

Publication Publication Date Title
CN100349185C (en) Map generation device, map delivery method, and map generation program
CN110689563A (en) Data processing method for extracting illegal building information in remote sensing image
CN106989747B (en) Autonomous navigation system based on indoor plane graph
CN100526807C (en) Navigation apparatus and method for displaying map using the same
CN104007760B (en) Method for self-locating in a kind of autonomous robot vision guided navigation
CN110136159B (en) Line segment extraction method for high-resolution remote sensing image
CN109863547B (en) Apparatus for constructing map using machine learning and image processing
WO2020083103A1 (en) Vehicle positioning method based on deep neural network image recognition
CN108388620B (en) Land approval surveying and mapping data processing information system
JP2010175756A (en) Method and device for generating road surface marking map
US20210285782A1 (en) Method, Device and System for Processing Positioning Information
CN112100301A (en) Method for realizing dynamic monitoring of water area shoreline by using high-resolution remote sensing technology
CN110688687B (en) Method for batch generation of reclaimed resource survey maps for urban and rural construction land
CN106767854A (en) mobile device, garage map forming method and system
CN106017492A (en) Intelligent navigation method adopted in scenic region
CN115424263A (en) Traffic light labeling method, vehicle-mounted device and storage medium
CN106409128A (en) Automatic processing method for essential factors of remote-sensing image railway thematic map
CN109035365B (en) Mosaic processing method of high-resolution image
CN112067014B (en) AR multi-path navigation system
CN113362439A (en) Method for fusing digital surface model data based on real projective image
CN110570521B (en) Urban ground roughness calculation method
CN114741770B (en) Dredging section structure based on Civil3D and template establishing method
CN114996798B (en) Automatic dredging construction drawing creating method and system based on Civil3D
Poznanska et al. Derivation of urban objects and their attributes for large-scale urban areas based on very high resolution UltraCam true orthophotos and nDSM: a case study Berlin, Germany
CN110728723A (en) Tile map-oriented automatic road extraction method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 300142 No. 10, Hebei District, Tianjin, Zhongshan Road

Applicant after: China Railway Design Group Limited

Address before: 300142 No. 10, Hebei District, Tianjin, Zhongshan Road

Applicant before: China Railway Third Survey and Design Institute Group Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant