CN106326544B - A kind of remote sensing image topographic map cartography based on common data - Google Patents
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Abstract
The remote sensing image topographic map cartography based on common data that the invention discloses a kind of, technical step include: the acquisition of public remote sensing image tile data;The acquisition of public DEM Law of DEM Data obtains SRTM, GDEM Law of DEM Data from public network platform;The acquisition of common base geographic information data;Public remote sensing image tile data pretreatment, the conversion of file format, coordinate system is carried out to the remote sensing image tile data of acquisition;Public DEM Law of DEM Data pretreatment;The pretreatment and symbolism of common base geographic information data;The generation and symbolism of elevational point and contour;The cartographic generaliztion of remote sensing image topographic map.Remote sensing image topographic map cartography of the present invention based on common data, remote sensing image data, DEM altitude data, the Fundamental Geographic Information Data of use are common data, and data acquisition cycle is short, and optional data source is more, the post-processing approach of use is technologically advanced, high-efficient at scheming.
Description
Technical field
The present invention relates to Map-making technologies, chart more particularly to a kind of remote sensing image topographic map based on common data
Method.
Background technique
Most of threadiness Graphing of Engineering such as railway, highway, pipeline uses strip-chart, and previous this strip map mainly uses
The electronic drawing that the Standard division range map that national Mapping departments provide was scanned, and spliced or directlyed adopt Standard division range carries out
Splicing.And the new regulation of country's secrecy since 2012, forbid that the big medium scale maps of national standard are scanned and are printed,
Therefore engineering is greatly affected with figure.Further, since, buying cumbersome from national relevant portion application, purchase topographic map formality
Period, this was difficult to rapidly adapt to generally in terms of the moon, the railway infrastructure construction tide that domestic, international competition is growing more intense.
Graduallyd mature in network technology, global satellite positioning is no longer monopolized by a few countries, especially big data when
The arrival in generation, (drawing initial data three is wanted for remote sensing image data, DEM Law of DEM Data, Fundamental Geographic Information Data
Element) acquisition no longer excessively rely on classical pathway.If the common data of enormous amount is not utilized rationally, that will be more
Waste in big degree.Therefore, a kind of remote sensing image topographic map cartography based on common data is studied, is to crack new secrecy shape
Data quagmire best bet under gesture.
Summary of the invention
For new secrecy situation, and the problem of traditional drafting method, the present invention proposes a kind of based on public
The remote sensing image topographic map cartography of data, it is intended that the public remote sensing image data of reasonable employment, public DEM number are high
Journey model data, common base geographic information data carry out the seamless fitting between data by data prediction appropriate.It is distant
Feeling image strip map has international coordinate system, and while not violating security stipulation, providing for reconnaissance projecting trade can
The data leaned on are supported.
A kind of remote sensing image topographic map cartography based on common data of the present invention, technical step includes: public
Acquisition (the S of remote sensing image tile data1), the acquisition (S of public DEM Law of DEM Data2), common base geography information
Acquisition (the S of data3), public remote sensing image tile data pre-processes (S4), public DEM Law of DEM Data pretreatment
(S5), the pretreatment of common base geographic information data and symbolism (S6), the generation and symbolism of elevational point and contour
(S7), the cartographic generaliztion (S of remote sensing image topographic map8)。
S1, public remote sensing image tile data acquisition
Within obtaining phase 2 years, cloud and mist covering is less than 10% remote sensing image tile data.The high-resolution watt of use
Sheet data is DigitalGlobe series data: WorldView-2 sub-meter grade satellite data.Common high-resolution tile data
Be by business software above and below the common platforms such as GoogleEarth, GoogleMap, BingMap, day map, Baidu map
It carries.
S2, public DEM Law of DEM Data acquisition
SRTM (Shuttle Radar Topography Mission) data are obtained from public network platform, elevational point is former
The sampling interval begin as 3 lonely seconds;GDEM (advanced spaceborne heat emission and reflected radiation instrument global digital elevation model) data, elevational point
30 meters are divided between crude sampling.
S3, common base geographic information data acquisition
Common base geographic information data refers mainly to highway, railway and its affiliated facility data, mountains and rivers, river, settlement place
Data.Acquisition modes are that the acquisition of point, line, surface data is carried out on public network platform.Wherein to different information using different
Color: railway using black, highway using brown, annotation using white, and by different type carry out figure layer grouping deposit
Storage.The common base geographic information data format collected is KML, KMZ, DWG format.
S4, the pretreatment of public remote sensing image tile data
Figure requirement is pressed out to the remote sensing image tile data of acquisition and carries out the conversion of file format, coordinate system, and is pressed
Figure resolution ratio is exported out, and coordinate system uses utm projection, WGS84 ellipsoid world world coordinate system;When same tile
When data are not able to satisfy imaging quality requirement, comprehensive multiple data sources are needed, to there is cloud and mist overlay area to be modified processing;It is right
The public remote sensing image data of output carries out spectrum enhancing processing, using " RGB single channel, RGB multichannel curve-CMYK single-pass
Road gets colors-RGB single channel, RGB multichannel curve " tupe alternately.
S5, the pretreatment of public DEM Law of DEM Data
By same coordinate system, identical sampling interval output tiff format SRTM data and GDEM data utilize SRTM number
Elimination of rough difference is carried out according to GDEM data, elimination method is the method using matrix operation, priori threshold values is given, to matrix operation
The elevational point that difference is greater than threshold values is rejected, while retaining the elevational point that those differences are less than threshold values, completes DEM digital elevation
The optimization of model data;The conversion of format, coordinate system is carried out to the public DEM digital elevation model after optimization, and presses 30 meters
Grid points spacing, exports GRID formatted data, and coordinate system uses utm projection, WGS84 ellipsoid world world coordinate system.
S6, common base geographic information data pretreatment and symbolism
To S3The data that the obtaining step of common base geographic information data obtains carry out multi-section-line spreading, point off density is taken out
Dilute, attributes edit, wherein multi-section-line spreading and point off density are vacuated is carried out by the way of automation;Data Format Transform is carried out,
Coordinate system uses utm projection, and WGS84 coordinate system uses DWG format when output;Symbolism and category are carried out to outputting result
Property assignment, the imparting including figure layer coding, line style, line width, color attribute.
S7, elevational point contour generation and symbolism
Utilize S5The GRID data that public DEM Law of DEM Data pretreatment generates, it is automatic raw according to national standards
At elevational point and contour line data, 1:50000 figure contour interval uses 10 meters~20 meters, and 1:10000 figure contour interval uses 5 meters~10
Rice;According to national standards to achievement carry out symbolism, define according to national standards figure layer coding, assign corresponding line style, line width,
Color attribute.
S8The cartographic generaliztion of remote sensing image topographic map
By step S4Public remote sensing image tile data pretreatment, S6The pretreatment of common base geographic information data and symbol
Number change, S7The raster data and vector data achievement that the generation and symbolism of elevational point contour obtain carry out fitting;Referring to distant
Feel image map, the Fundamental Geographic Information System of omission is carried out repairing survey;The topological relation between atural object is adjusted, annotation and lines are handled
Between the problems such as laminating;Encryption to Fundamental Geographic Information Data attribute tags vacuates.
A kind of remote sensing image topographic map cartography based on common data of the present invention, the remote sensing image number of use
According to, DEM altitude data, Fundamental Geographic Information Data be common data, data acquisition cycle is short, and optional data source is more, use
Post-processing approach it is technologically advanced, at scheme it is high-efficient, obtained photo-topographmap performance data have international coordinate, do not disobey
Anti-state security stipulation provides reliable data for each profession of prospective design and supports.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the remote sensing image topographic map cartography based on common data of the present invention.
Figure acceptance of the bid description of symbols:
S1, public remote sensing image tile data acquisition
S2, public DEM Law of DEM Data acquisition
S3, common base geographic information data acquisition
S4, the pretreatment of public remote sensing image tile data
S5, the pretreatment of public DEM Law of DEM Data
S6, common base geographic information data pretreatment and symbolism
S7, elevational point and contour generation and symbolism
S8, remote sensing image topographic map cartographic generaliztion
Specific embodiment
A kind of remote sensing image topographic map cartography based on common data of the present invention, technical step includes: public
Acquisition (the S of remote sensing image tile data1), the acquisition (S of public DEM Law of DEM Data2), common base geography information
Acquisition (the S of data3), public remote sensing image tile data pre-processes (S4), public DEM Law of DEM Data pretreatment
(S5), the pretreatment of common base geographic information data and symbolism (S6), the generation and symbolism of elevational point and contour
(S7), the cartographic generaliztion (S of remote sensing image topographic map8)。
S1, public remote sensing image tile data acquisition
Within obtaining phase 2 years, cloud and mist covering is less than 10% GoogleEarth15 grade remote sensing image tile data, number
It is 3.8 meters according to original resolution, data have WGS84 ellipsoid geodetic coordinates, data format GEOTIFF.Data total quality
Well, there are a certain number of color lumps, colour cast degree is different between color block areas, and there are color difference, there is the covering of facet cumulus.From
BingMap, day map platform downloading DigitalGlobe series: WorldView-2 sub-meter grade satellite data and domestic satellite
Data, for there is cloud and mist overlay area data modification.
S2, public DEM Law of DEM Data acquisition
SRTM data and GDEM data from public network platform downloading relevant range, initial data is with all using EGM96
Gravity field model, plane coordinate system are WGS84 geodetic coordinates.SRTM data it is with higher can confidence level, but between grid points
Away from being 90 meters, it is not able to satisfy the drawing of 1:50000 photo-topographmap and requires, GDEM grid points spacing is 30 meters.
S3, common base geographic information data acquisition
It includes: highway, railway and its affiliated facility data, mountain that Fundamental Geographic Information Data is acquired on public network platform
River, river, settlement place data.Acquisition modes are to carry out the acquisition of point, line, surface data, wherein to different information using different
Color, railway uses white using brown, annotation using black, highway, and the grouping storage of figure layer is carried out by different type,
It is divided into railway, highway, resident's map layer group.The common base geographic information data collected has WGS84 geodetic coordinates, adopts
Integrate obtained common base geographic information data format as KML, KMZ, DWG format.
S4, the pretreatment of public remote sensing image tile data
It is the 50th band of WGS84 by the output of jpeg file format, projection coordinate system to the remote sensing image tile data of acquisition
(by taking the area of North China as an example), is exported by 5 meters of ground resolutions;Spectrum enhancing is carried out to the public remote sensing image data of output
Processing, since data are there are cloud covered areas domain, BingMap, world Figure 15 grade data in the comprehensive region, to there is cloud and mist
Overlay area is replaced processing;Corresponding constituency is made according to color lump in scheming, apply in constituency: RGB single channel, multichannel are bent
Get colors two kinds of processing means of line and CMYK single channel carry out spectrum enhancings, meanwhile, using " RGB single channel, RGB multichannel
Curve-CMYK single channel gets colors-RGB single channel, RGB multichannel curve " tupe alternately.It finally obtains
Uniform in color, the remote sensing image basemap data of no color differnece.
S5, the pretreatment of public DEM Law of DEM Data
By utm projection, WGS84-50 coordinate system, 30 meters of sampling interval output GEOTIFF format SRTM data and GDEM
Data carry out elimination of rough difference to GDEM data using SRTM data.
Mainly carry out as follows:
1. the coordinate of SRTM data and GDEM data is converted, using WGS84-50 projected coordinate system.
2. exporting GEOTIFF format SRTM data and GDEM data respectively according to 30 meters of grid sampling intervals.
3. it is 20 meters that priori threshold values F, which is arranged, if certain position GDEM elevation point height is H (g), the SRTM elevational point of the position
Elevation is H (s), and elevation is that H (m) carries out matrix operation as follows after the position correction, to the elevational point in two kinds of data
Judge one by one.
H (m)=if (abs (H (g)-H (s))≤F, H (g), H (s))
4. the dem data achievement for the excluding gross error that operation obtains is added in SRTM data, after forming final optimization
DEM achievement.
S6, common base geographic information data pretreatment and symbolism
To S3The common base geographic information data that the obtaining step of common base geographic information data obtains carries out multistage
Line spreading, point off density vacuate, attributes edit, and wherein multi-section-line spreading and point off density are vacuated is carried out by the way of automation;Into
Row Data Format Transform, using WGS84 ellipsoid, the 50th band projection coordinate of utm projection, output uses DWG format;To outputting result
Carry out symbolism and attribute assignment, the imparting including figure layer coding, line style, line width, color attribute.The figure layer that railway uses is compiled
Code is 410100, and the figure layer that highway uses is encoded to 420100, and circle, city figure layer is encoded to 640000.
S7, elevational point contour generation and symbolism
Utilize S5The GRID data that public DEM Law of DEM Data pretreatment generates, it is automatic raw according to national standards
At elevational point and contour line data, such as: contour interval uses 1000 meters using 10 meters, elevational point spacing;It is right according to national standards
Achievement carries out symbolism, defines figure layer coding according to national standards, assigns corresponding line style, line width, color attribute.Contour map
Layer is encoded to 710101,710102, and elevational point figure layer is encoded to 720100.
S8, remote sensing image topographic map cartographic generaliztion
By step S4Public remote sensing image tile data pretreatment, S6The pretreatment of common base geographic information data and symbol
Number change, S7The raster data and vector data achievement that the generation and symbolism of elevational point contour obtain carry out fitting;Referring to distant
Feel image map, the Fundamental Geographic Information System of omission is carried out repairing survey;The topological relation between atural object is adjusted, annotation and lines are handled
Between the problems such as laminating;Encryption to Fundamental Geographic Information Data attribute tags vacuates.
Claims (7)
1. a kind of remote sensing image topographic map cartography based on common data, which is characterized in that technical step includes: public remote sensing
Acquisition (the S of image tile data1), the acquisition (S of public DEM Law of DEM Data2), common base geographic information data
Acquisition (S3), public remote sensing image tile data pre-processes (S4), public DEM Law of DEM Data pre-processes (S5), it is public
The pretreatment of Fundamental Geographic Information Data and symbolism (S altogether6), the generation of elevational point and contour and symbolism (S7), remote sensing shadow
As the cartographic generaliztion (S of topographic map8);
Acquisition (the S of the public remote sensing image tile data1) it is within obtaining phase 2 years, cloud and mist covering is less than 10%
Remote sensing image tile data;Data acquiring mode is downloaded by business software;
Acquisition (the S of the public DEM Law of DEM Data2) it is that SRTM, GDEM number height are obtained from public network platform
Journey model data;
Acquisition (the S of the common base geographic information data3) it is to obtain highway, railway and its affiliated facility data, Yi Jishan
River, river, settlement place data;Acquisition modes are that the acquisition of point, line, surface data is carried out on public network platform, are collected
Common base geographic information data format be KML, KMZ, DWG format;
The public remote sensing image tile data pre-processes (S4) it is that tray is carried out to the remote sensing image tile data of acquisition
The conversion of formula, coordinate system, and press out figure resolution ratio and exported;Spectrum increasing is carried out to the public remote sensing image data of output
Strength reason needs comprehensive multiple data sources when same tile data is not able to satisfy imaging quality requirement, to there is cloud and mist covering
Region be modified processing;
The public DEM Law of DEM Data pre-processes (S5) it is to be exported by same coordinate system, identical sampling interval
Tiff format SRTM data and GDEM data carry out elimination of rough difference to GDEM data using SRTM data;To the public affairs of excluding gross error
Total DEM digital elevation model carries out the conversion of format, coordinate system, and exports GRID formatted data;
The pretreatment of the common base geographic information data and symbolism (S6) it is to be obtained to common base geographic information data
Take (S3) data that obtain of step carry out multi-section-line spreading, point off density vacuate, attributes edit, carry out Data Format Transform, output
Using DWG format;Symbolism and attribute assignment, including figure layer coding, line style, line width, color attribute are carried out to outputting result
Imparting;
The generation of the elevational point and contour and symbolism (S7) it is to be pre-processed using public DEM Law of DEM Data
(S5) step generate GRID formatted data, automatically generate elevational point and contour line data according to national standards;It is marked according to country
Standard carries out symbolism to achievement, defines figure layer coding by national standard, assigns corresponding line style, line width, color attribute;
Cartographic generaliztion (the S of the remote sensing image topographic map8) it is that public remote sensing image tile data is pre-processed into (S4), it is public
The pretreatment of Fundamental Geographic Information Data and symbolism (S6) and elevational point and contour generation and symbolism (S7) step obtains
The raster data and vector data achievement arrived carries out fitting;Referring to remote sensing image base map, the Fundamental Geographic Information System of omission is carried out
Repair survey;The topological relation between atural object is adjusted, handles and laminates problem between annotation and lines.
2. a kind of remote sensing image topographic map cartography based on common data as described in claim 1, it is characterised in that: described
Remote sensing image data, DEM elevation model data, Fundamental Geographic Information Data all derive from public network platform.
3. a kind of remote sensing image topographic map cartography based on common data as described in claim 1, it is characterised in that: described
Public remote sensing image tile data, public DEM digital elevation model, common base geographic information data is all made of WGS84 state
Border world coordinate system, when output, are all made of utm projection.
4. a kind of remote sensing image topographic map cartography based on common data as described in claim 1, it is characterised in that: described
Public remote sensing image tile data pre-process (S4) step spectrum enhancing processing method use " RGB single channel, RGB multi-pass
Road curve-CMYK single channel gets colors-RGB single channel, RGB multichannel curve " mode alternately.
5. a kind of remote sensing image topographic map cartography based on common data as described in claim 1, it is characterised in that: described
Public DEM Law of DEM Data pre-process (S5) rough error is carried out to GDEM data using SRTM data pick in step
It removing, is the method using matrix operation, gives priori threshold values, the elevational point for being greater than threshold values to matrix operation difference is rejected,
Retain the elevational point that those differences are less than threshold values simultaneously, completes the optimization of DEM Law of DEM Data.
6. a kind of remote sensing image topographic map cartography based on common data as described in claim 1, it is characterised in that: described
Public DEM Law of DEM Data pre-process (S5) when exporting GRID formatted data in step by 30 meters of grid points spacing into
Row.
7. a kind of remote sensing image topographic map cartography based on common data as described in claim 1, it is characterised in that: described
Common base geographic information data pretreatment and symbolism (S6) common base geographic information data multi-section-line in step
Spreading, point off density, which vacuates, to be all made of the mode of automation and carries out.
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CN106934072A (en) * | 2017-04-27 | 2017-07-07 | 广州全成多维信息技术有限公司 | Storage method is arranged based on agricultural geographical information shared data |
CN108776699B (en) * | 2018-06-08 | 2021-06-08 | 北京华云星地通科技有限公司 | Method and device for processing meteorological data and satellite remote sensing data |
CN112530009B (en) * | 2020-11-06 | 2024-08-27 | 四川见山科技有限责任公司 | Three-dimensional topographic map drawing method and system |
CN114018243B (en) * | 2021-11-05 | 2024-09-10 | 苍穹数码技术股份有限公司 | Map data processing method, device, equipment and storage medium |
CN117218309B (en) * | 2023-09-21 | 2024-02-20 | 中国铁路设计集团有限公司 | Quick image map service manufacturing method considering linear band-shaped characteristics of railway |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101344390A (en) * | 2008-08-19 | 2009-01-14 | 南京师范大学 | High-fidelity digital modeling method for landform altitude |
CN101763658A (en) * | 2009-12-14 | 2010-06-30 | 煤航(香港)有限公司 | Manufacturing method for full-factor real-tridimensional large scale numerical map |
CN101777189A (en) * | 2009-12-30 | 2010-07-14 | 武汉大学 | Method for measuring image and inspecting quantity under light detection and ranging (LiDAR) three-dimensional environment |
CN103065361A (en) * | 2012-12-27 | 2013-04-24 | 国家海洋信息中心 | Three-dimensional (3d) island sandbox achieving method |
CN103884321A (en) * | 2014-04-17 | 2014-06-25 | 西安煤航信息产业有限公司 | Remote-sensing image mapping process |
-
2016
- 2016-08-23 CN CN201610705455.2A patent/CN106326544B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101344390A (en) * | 2008-08-19 | 2009-01-14 | 南京师范大学 | High-fidelity digital modeling method for landform altitude |
CN101763658A (en) * | 2009-12-14 | 2010-06-30 | 煤航(香港)有限公司 | Manufacturing method for full-factor real-tridimensional large scale numerical map |
CN101777189A (en) * | 2009-12-30 | 2010-07-14 | 武汉大学 | Method for measuring image and inspecting quantity under light detection and ranging (LiDAR) three-dimensional environment |
CN103065361A (en) * | 2012-12-27 | 2013-04-24 | 国家海洋信息中心 | Three-dimensional (3d) island sandbox achieving method |
CN103884321A (en) * | 2014-04-17 | 2014-06-25 | 西安煤航信息产业有限公司 | Remote-sensing image mapping process |
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