CN110136219A - A kind of two three-dimensional map methods of exhibiting based on multisource data fusion - Google Patents
A kind of two three-dimensional map methods of exhibiting based on multisource data fusion Download PDFInfo
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Abstract
The invention discloses a kind of two three-dimensional map methods of exhibiting based on multisource data fusion, after remote sensing images and unmanned plane image data source are passed through geometric correction, spatial registration, image mosaic, using the fused image that multi-source Adaptive image fusion method formation spatial resolution and spectral characteristic are optimal.The consistency treatment of other map derived datas progress coordinate system, optical projection system, coding rule is ultimately generated into the geographic information data shown for two three-dimensional maps with fused image by a variety of superposition processing modes.By means of the invention it is possible to which synthesis merges multi-source geographic information data, data deployment is not necessarily to artificial treatment, and data deployment time of fusion is short, and supports the long-range geographic information services of networking.
Description
Technical field
The present invention relates to Map Design technical fields, more particularly to a kind of two three-dimensional maps based on multisource data fusion
Methods of exhibiting.
Background technique
With the development of information technology, GIS-Geographic Information System is sent out towards the direction of intelligence, networking, serviceization
Exhibition, use for reference the intelligent identification technology of graph image, the data sharing technology in a variety of geography information sources, techniques of spatial data analysis,
The technologies such as virtual reality and augmented reality, GIS-Geographic Information System is in the geography information value-added service for being supplied to user's efficient quick
While, also in the service experience that user is continuously improved, move towards open, industrialization road for development.
However, current geographic information data source channel is single, present satellites remote sensing images, unmanned plane cannot be efficiently used
The advanced multi-source geographic information data such as image, need to study GIS-Geographic Information System support technology.Domestic hardware platform
Fast development emerge the domestic high-definition image graphic processing apparatus of a batch, reliable memory control equipment, high speed real-time bus and set
Standby equal peripheral hardwares, the geographical information platform released in 2008 using unified interface mode provide basic situation show, landform point
The geographic information services such as amount calculation in analysis, figure.This edition GIS-Geographic Information System mainly use the geographic information data of vector format with
And part has elevation, landform, the DEM formatted data in path, does not support the multi-sources such as satellite remote sensing images and unmanned plane image
Geographic information data, main to provide two-dimentional geographic information services, three-dimensional geographic information service is not up to real requirement.The system
Information deployment is completed using artificial operation data loading tool, and the time is longer, and the ability of data deployment per hour is less than 10G.
By the development course and research conditions of comprehensive analysis country military geographical information system, its state of the art is summarized
It is as follows:
Geographic information data source is single, does not support the multi-source geographic informations data such as satellite remote sensing images, unmanned plane image, different
Data source be difficult to merge.
Geographic information data deployment means rely on manually substantially, and the deployment time of magnanimity geographic information data is long, does not support
The long-range geographic information services of networking.
Summary of the invention
The purpose of the present invention is provide a kind of based on multisource data fusion to solve above-mentioned the deficiencies in the prior art place
Two three-dimensional map methods of exhibiting.
In order to solve the above technical problems, one technical scheme adopted by the invention is that: one kind is provided and is melted based on multi-source data
The two three-dimensional map methods of exhibiting closed, comprising:
Obtain multi-source geographic information data, wherein multi-source geographic information data include remote sensing images, unmanned plane image and other ground
Figure derived data；
Identify the remote sensing images and unmanned plane image in multi-source geographic information data, and to corresponding remote sensing images and unmanned plane figure
As carrying out geometric correction；
Using after the geometric correction of imagery remote sensing images and unmanned plane image one of them as refer to image, another one with refer to shadow
It is corrected as on the basis of, realizes spatial registration；
After spatial registration, corresponding remote sensing images and unmanned plane image are spliced and merged；
Fused image is corresponded to and is merged with other map derived datas, shape after multi-source geographic information data fusion is obtained
At map；
Vector data analysis and raster data analysis are carried out to the map that multi-source geographic information data fusion obtains, realized two-dimensionally
The geographic information displaying of figure；
Environment viewing operation setting and three dimensional analysis are carried out to the map that multi-source geographic information data fusion obtains, realized dimensionally
The geographic information displaying of figure.
Wherein, include: to the step of remote sensing images and unmanned plane image progress spatial registration
Feature selecting: on the two corresponding remote sensing images and unmanned plane image to be registrated, obvious characteristic point is selected；
Characteristic matching: using registration Algorithm, finds out on two width images corresponding outstanding point as control point；
Spatial alternation: according to control point, the mapping relations between image are established；
Interpolation: according to mapping relations, resampling is carried out to non-reference point image, is obtained with the image for referring to Image registration.
Wherein, before the step of carrying out multi-source image splicing, include the steps that even light before judging whether to splice, if
Even light before judgement is spliced, then carry out splicing preceding dodging；Wherein, the method for dodging includes at least: linear
Converter technique, variance-averaging method, histogram specification method and the even color algorithm based on Wallis filter.
Wherein, multi-source image splice the step of include:
For the correspondence image of remote sensing images to be spliced and unmanned plane image, image overlap area and base map image are determined；
Splicing line is generated, according to the geocoding range that image to be spliced carries, is generated based on Voronoi polygon and entirely surveys area
The initial splicing line of all images；
Based on ant group algorithm, the position of initial splicing line is handled, it is avoided to pass through the ground above ground level such as house, trees
Object or the big region of gray scale contrast；
Region for that can not handle provides the editting function of human-computer interaction, achievable customization splicing line；
Carry out remote sensing images and unmanned plane image image joint, support multiband, high dynamic range, Different Ground resolution ratio,
The image joint of different intrinsic parameters obtains universe splicing image.
Wherein, in the step of carrying out remote sensing images and unmanned plane image co-registration, the method for image co-registration includes stressing sky
Between the fusion that improves of resolution ratio and stress the fusion of spectral preservation characteristic.
Wherein, in the step of carrying out remote sensing images and unmanned plane image co-registration, according to the class of multi-source geographic information data
Type determines the fusion method of multi-source image；Wherein, remote sensing images include multispectral image and full-color image, fusion method packet
It includes:
HIS+ laplacian pyramid fusion method: suitable for the fusion between full-color image, HSI change is carried out to image to be fused
It changes, then component carries out Laplace multi-level decomposition, obtains fused image by HSI inverse transformation；
HIS+A trous Wavelet Fusion method: suitable for the fusion between multispectral image and full-color image, to mostly light to be fused
Spectrogram picture carries out HSI transformation, then carries out 2 rank wavelet transformations to obtained luminance component I and full-color image, by full-colour image
Low-frequency information be fused in multispectral image, while the high fdrequency component of full-colour image is replaced into brightness in multispectral image
High fdrequency component of the component after wavelet transformation, then carries out inverse wavelet transform, carries out image using the equalization method of image and melts
It closes；
High frequency modulated fusion method: suitable for merging between high-resolution image and the image of low resolution, by high-resolution shadow
Picture
P(i, j) it is multiplied with low resolution kth wave band the multispectral image M(i, j of spatial registration), and divided by high-resolution
Image P(i, j) image LPH(i, j that are obtained after low-pass filtering) obtain enhanced kth Band fusion image, formula
Are as follows:
Wavelet Fusion method: suitable for the fusion between multispectral image and full-color image, image to be fused is carried out respectively more
Then resolution decomposition carries out fusion treatment to the low-frequency information of picture breakdown and high-frequency information, finally obtains by composition algorithm
To blending image.
Wherein, other map derived datas include at least map vector, Beidou location data and dem data.
Wherein, vector data analysis and raster data analysis are carried out in the map obtained to multi-source geographic information data fusion
The step of in,
Vector data analysis is the analysis provided for the common vector data in geographical information platform application, including space is looked into
Inquiry, buffer zone analysis, space overlapping；
Raster data analysis counts and including grid algebraic operation, apart from grid analysis, hydrological analysis, grid towards digital elevation
The terrain analysis of model.
Wherein, environment viewing operation setting and three dimensional analysis are carried out in the map obtained to multi-source geographic information data fusion
The step of in,
Realize map scene walkthrough, customized flight path and creation and edit object by environment viewing operation setting, with
Displaying live view, inquiry, the usage scenario for editing two three-dimensional datas in scene；
Three dimensional analysis is analyzed on the basis of three-dimensional data Visualization, realizes the three-dimensional space accelerated based on GPU
Analytic function, the three dimensional analysis ability that three-dimensional network analysis, three-dimensional amount point counting are analysed.
It is different from the prior art, the two three-dimensional map methods of exhibiting of the invention based on multisource data fusion are by by remote sensing
After image and unmanned plane image data source pass through geometric correction, spatial registration, image mosaic, using multi-source Adaptive image fusion
Method forms spatial resolution and the optimal fused image of spectral characteristic.By other map derived datas carry out coordinate system,
The consistency treatment of optical projection system, coding rule passes through a variety of superposition processing modes with fused image, ultimately generates for two
The geographic information data that three-dimensional map is shown.By means of the invention it is possible to synthesis merges multi-source geographic information data, data
Deployment is not necessarily to artificial treatment, and data deployment time of fusion is short, and supports the long-range geographic information services of networking.
Detailed description of the invention
Fig. 1 is a kind of process signal of two three-dimensional map methods of exhibiting based on multisource data fusion provided by the invention
Figure.
Fig. 2 is a kind of logic signal of two three-dimensional map methods of exhibiting based on multisource data fusion provided by the invention
Figure.
Specific embodiment
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention.But the present invention can be with
Much it is different from other way described herein to implement, those skilled in the art can be without prejudice to intension of the present invention the case where
Under do similar popularization, therefore the present invention is not limited to the specific embodiments disclosed below.
Secondly, the present invention is described in detail using schematic diagram, when describing the embodiments of the present invention, for purposes of illustration only, showing
It is intended to be example, the scope of protection of the invention should not be limited herein.
As depicted in figs. 1 and 2, Fig. 1 is that a kind of two three-dimensional maps based on multisource data fusion provided by the invention are shown
The flow diagram of method, Fig. 2 are a kind of two three-dimensional map methods of exhibiting based on multisource data fusion provided by the invention
Logical schematic, comprising:
S110: obtain multi-source geographic information data, wherein multi-source geographic information data include remote sensing images, unmanned plane image and
Other map derived datas.
Multi-source geographic information data mainly include remote sensing images, unmanned plane image and other map derived datas.It is wherein distant
Feeling image includes multispectral image and full-color image；Other map derived datas include map vector, Beidou location data,
Dem data.
S120: remote sensing images and unmanned plane image in identification multi-source geographic information data, and to corresponding remote sensing images
Geometric correction is carried out with unmanned plane image.
Although the Data fusion technique that different data sources use is multifarious, all having to pass through geometric correction could be into one
Step carries out fusion treatment.The main task of geometric correction is unified coordinate system and unified projection.The geometric correction of imagery is remote sensing
Image, unmanned plane image are transformed on certain map or project to another image coordinate up, comply with system, map projection
The process of system.The purpose is to be registrated various remote sensing images, unmanned plane image and map mutually, convenient for remote sensing images, nobody
Machine image carries out Classification and Identification and comprehensive analysis.
S130: using after the geometric correction of imagery remote sensing images and unmanned plane image one of them as refer to image, it is another
Person is corrected on the basis of with reference to image, realizes spatial registration.
The spatial registration of image is the premise of geographic information data fusion, for the spatial registration of two width images, generally handle
Wherein a width is known as referring to image, is corrected on the basis of it to another width image.Its operating procedure is as follows.
Feature selecting: on the two corresponding remote sensing images and unmanned plane image to be registrated, obvious characteristic point is selected；
Characteristic matching: using registration Algorithm, finds out on two width images corresponding outstanding point as control point；
Spatial alternation: according to control point, the mapping relations between image are established；
Interpolation: according to mapping relations, resampling is carried out to non-reference point image, is obtained with the image for referring to Image registration.
S140: after spatial registration, corresponding remote sensing images and unmanned plane image are spliced and is merged.
Sequence geometric exact correction for input and correction data are just penetrated, it is first determined whether even light before splicing, if needed
Carry out dodging before sequential images splice.The dodging algorithm of proposed adoption include linear transformation method, variance-averaging method,
Histogram specification method, even color algorithm based on Wallis filter etc..
Multi-source image splice the step of include:
For the correspondence image of remote sensing images to be spliced and unmanned plane image, image overlap area and base map image are determined；
Splicing line is generated, according to the geocoding range that image to be spliced carries, is generated based on Voronoi polygon and entirely surveys area
The initial splicing line of all images；
Based on ant group algorithm, the position of initial splicing line is handled, it is avoided to pass through the ground above ground level such as house, trees
Object or the big region of gray scale contrast；
Region for that can not handle provides the editting function of human-computer interaction, achievable customization splicing line；
Carry out remote sensing images and unmanned plane image image joint, support multiband, high dynamic range, Different Ground resolution ratio,
The image joint of different intrinsic parameters obtains universe splicing image.
Multi-source image fusion is to integrate the multiple images data of Same Scene, which will not introduce distortion, void
Vacation causes information excessively to lose the mutual supplement with each other's advantages, it can be achieved that multi-source image data.Method of the invention is from image to be fused
The selection of fusion method is carried out in terms of the purposes two of type and fused image.
Multi-source Adaptive image fusion method is divided into two major classes: stressing the fusion of spatial resolution raising and stresses to keep
The fusion of spectral characteristic.The fusion method for stressing spatial resolution raising can make the atural object in fused image more clear
It is clear.The fusion method for stressing spectral preservation characteristic can make fused image preferably be used for target analysis and identification.
In the step of carrying out remote sensing images and unmanned plane image co-registration, determined according to the type of multi-source geographic information data
The fusion method of multi-source image；Wherein, remote sensing images include multispectral image and full-color image, and fusion method includes:
HIS+ laplacian pyramid fusion method: suitable for the fusion between full-color image, HSI change is carried out to image to be fused
It changes, then component carries out Laplace multi-level decomposition, obtains fused image by HSI inverse transformation；
HIS+A trous Wavelet Fusion method: suitable for the fusion between multispectral image and full-color image, to mostly light to be fused
Spectrogram picture carries out HSI transformation, then carries out 2 rank wavelet transformations to obtained luminance component I and full-color image, by full-colour image
Low-frequency information be fused in multispectral image, while the high fdrequency component of full-colour image is replaced into brightness in multispectral image
High fdrequency component of the component after wavelet transformation, then carries out inverse wavelet transform, carries out image using the equalization method of image and melts
It closes；
High frequency modulated fusion method: suitable for merging between high-resolution image and the image of low resolution, by high-resolution shadow
Picture
P(i, j) it is multiplied with low resolution kth wave band the multispectral image M(i, j of spatial registration), and divided by high-resolution
Image P(i, j) image LPH(i, j that are obtained after low-pass filtering) obtain enhanced kth Band fusion image, formula
Are as follows:
Wavelet Fusion method: suitable for the fusion between multispectral image and full-color image, image to be fused is carried out respectively more
Then resolution decomposition carries out fusion treatment to the low-frequency information of picture breakdown and high-frequency information, finally obtains by composition algorithm
To blending image.
S150: fused image is corresponded to and is merged with other map derived datas, multi-source geographic information number is obtained
According to the map formed after fusion.
The fusion method of fused image and other map derived datas is mainly the following approach:
1. fused image with effective strong, accuracy is high, monitoring range is big, with comprehensive positioning, quantitative information
Feature.Other map derived data position precision height, attribute information, elevation information, auxiliary information are abundant.It is melted using a variety of
Display mode is closed, the comprehensive geographic information data of mutual supplement with each other's advantages is capable of forming.
2. can use vector data, the high-precision control point information auxiliary remote sensing images of Beidou location data carry out image
It corrects, forms high-precision orthography, high-precision orthography is overlapped with vector data, and display overlap-add region is more detailed
Thin ground species special topic attribute information.
3. being overlapped display using fused image and DEM data, vector data, landforms, terrain information, road are formed
The hierarchical classification of the information such as road, river, administrative region is shown, shows the more topography and landform character information of overlap-add region.
S160: carrying out vector data analysis to the map that multi-source geographic information data fusion obtains and raster data analyzed,
Realize the geographic information displaying of two-dimensional map.
GIS-Geographic Information System mainly provides vector data analysis and raster data analysis two major classes are based on two-dimentional geography information
The service of system.
1. vector data analysis refers to the Analysis Service provided for the common vector data in geographical information platform application.
Vector data analysis includes a series of services such as space querying, buffer zone analysis, space overlapping.Space querying service can be supported
By the spatial relation between geometric object, a variety of geometric objects for meeting querying condition are inquired.Buffer zone analysis service
The region of one fixed width can be established automatically around point, line, surface geometric object according to specified distance.Spatial overlay analysis
Service can extract the area information needed by set operation between data for user.
2. raster data analysis is the important content of GIS-Geographic Information System spatial analysis.It includes grid algebraic operation clothes
Business, apart from grid service, hydrological analysis service, grid statistical fractals and terrain analysis service towards digital elevation model.Grid
Lattice algebraic operation service can carry out operation to geographical feature and phenomenon and obtain spatial analysis result.It is provided in grid service
Include linear distance analysis, surface distance analysis and expends distance analysis three types.Linear distance analysis is for process
Not the case where route does not have obstacle or equally expends.Obstacle and consuming are fully considered in surface distance analysis and consuming distance analysis
It influences.The various features of the earth's surface hydrology are obtained by water system model in hydrological analysis service, including calculates flow direction, calculate to accumulate and converge
Water, extraction vector water system etc..Grid statistical fractals, which refer to, counts raster data, including basic statistics, Neighborhood Statistics, point
Band statistics.Terrain analysis service towards digital elevation model provides terrain analysis abundant, including calculates the gradient, slope aspect,
The implementation method of the functions such as curvature, and three-dimensional shading map, visualization analysis, profile analysis.The gradient and slope aspect calculate service and refer to
Slope map is calculated by dem data, by slope map, the steep and slope for understanding the landform of each regional location are faced
Direction.Curvature estimation service is realized by certain curvature estimation model on digital elevation model.Three-dimensional rendering service is logical
Cross the grid map for simulating the umbra of practical earth's surface and reflecting with the mode for falling shadow hypsography situation.Visualization analysis service includes point
Between visual analysis and set point recallable amounts.Visual analysis function between point can analyze between the arbitrary point of earth's surface whether phase
Intercommunication video.The recallable amounts function of set point is referred to through given point, find set point institute can intervisibility cover it is complete
Portion region.Profile analysis service, which refers to, obtains hatching and sampled point combination by analysis, can be appreciated that given line by hatching
The elevation of road landform changes and relief.
S170: carrying out environment viewing operation setting and three dimensional analysis to the map that multi-source geographic information data fusion obtains,
Realize the geographic information displaying of three-dimensional map.
GIS-Geographic Information System mainly provides environment viewing and operation and three dimensional analysis two major classes are based on three-dimensional geographic information system
The service of system.
1. environment viewing and operation service provide a series of interactive operation functions, such as scene walkthrough, customized flight road
The functions such as line, creation and edit object meet user displaying live view, inquiry, the use field for editing two three-dimensional datas in the scene
Scape.
2. three dimensional analysis is the serial analysis carried out on the basis of three-dimensional data Visualization, it can be realized and be based on
The three-dimensional spatial analysis function that GPU accelerates, the practical three dimensional analysis abilities such as three-dimensional network analysis, three-dimensional amount point counting analysis, simultaneously
Support shows the result of two-dimension analysis in three-dimensional scenic, makes full use of the information and element in three-dimensional space, so that exploitation
Person can carry out depth customized application according to the business demand of itself.Three-dimensional spatial analysis service includes flux-vector splitting, visible range
Analysis, shadow factor analysis, horizon line analysis, section line analysis, contour plots analysis, gradient aspect analysis etc. are a series of great practical
The operating experience of property.Three-dimensional amount point counting analysis service includes the calculation of space length amount, patch ground distance measurements etc..
It is different from the prior art, the two three-dimensional map methods of exhibiting of the invention based on multisource data fusion are by by remote sensing
After image and unmanned plane image data source pass through geometric correction, spatial registration, image mosaic, using multi-source Adaptive image fusion
Method forms spatial resolution and the optimal fused image of spectral characteristic.By other map derived datas carry out coordinate system,
The consistency treatment of optical projection system, coding rule passes through a variety of superposition processing modes with fused image, ultimately generates for two
The geographic information data that three-dimensional map is shown.By means of the invention it is possible to synthesis merges multi-source geographic information data, data
Deployment is not necessarily to artificial treatment, and data deployment time of fusion is short, and supports the long-range geographic information services of networking.
Although the invention has been described by way of example and in terms of the preferred embodiments, but it is not for limiting the present invention, any this field
Technical staff without departing from the spirit and scope of the present invention, may be by the methods and technical content of the disclosure above to this hair
Bright technical solution makes possible variation and modification, therefore, anything that does not depart from the technical scheme of the invention, and according to the present invention
Technical spirit any simple modifications, equivalents, and modifications to the above embodiments, belong to technical solution of the present invention
Protection scope.
Claims (9)
1. a kind of two three-dimensional map methods of exhibiting based on multisource data fusion characterized by comprising
Obtain multi-source geographic information data, wherein multi-source geographic information data include remote sensing images, unmanned plane image and other ground
Figure derived data；
Identify the remote sensing images and unmanned plane image in multi-source geographic information data, and to corresponding remote sensing images and unmanned plane figure
As carrying out geometric correction；
Using after the geometric correction of imagery remote sensing images and unmanned plane image one of them as refer to image, another one with refer to shadow
It is corrected as on the basis of, realizes spatial registration；
After spatial registration, corresponding remote sensing images and unmanned plane image are spliced and merged；
Fused image is corresponded to and is merged with other map derived datas, shape after multi-source geographic information data fusion is obtained
At map；
Vector data analysis and raster data analysis are carried out to the map that multi-source geographic information data fusion obtains, realized two-dimensionally
The geographic information displaying of figure；
Environment viewing operation setting and three dimensional analysis are carried out to the map that multi-source geographic information data fusion obtains, realized dimensionally
The geographic information displaying of figure.
2. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that distant
Sense image and unmanned plane image carry out spatial registration the step of include:
Feature selecting: on the two corresponding remote sensing images and unmanned plane image to be registrated, obvious characteristic point is selected；
Characteristic matching: using registration Algorithm, finds out on two width images corresponding outstanding point as control point；
Spatial alternation: according to control point, the mapping relations between image are established；
Interpolation: according to mapping relations, resampling is carried out to non-reference point image, is obtained with the image for referring to Image registration.
3. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that into
Before the step of row multi-source image splices, include the steps that even light before judging whether to splice, if it is determined that being spliced
Preceding even light then carries out splicing preceding dodging；Wherein, the method for dodging includes at least: linear transformation method, variance-mean value
Method, histogram specification method and the even color algorithm based on Wallis filter.
4. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that multi-source
The step of image mosaic includes:
For the correspondence image of remote sensing images to be spliced and unmanned plane image, image overlap area and base map image are determined；
Splicing line is generated, according to the geocoding range that image to be spliced carries, is generated based on Voronoi polygon and entirely surveys area
The initial splicing line of all images；
Based on ant group algorithm, the position of initial splicing line is handled, it is avoided to pass through the ground above ground level such as house, trees
Object or the big region of gray scale contrast；
Region for that can not handle provides the editting function of human-computer interaction, achievable customization splicing line；
Carry out remote sensing images and unmanned plane image image joint, support multiband, high dynamic range, Different Ground resolution ratio,
The image joint of different intrinsic parameters obtains universe splicing image.
5. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that into
In the step of row remote sensing images and unmanned plane image co-registration, the method for image co-registration includes stressing the fusion of spatial resolution raising
With the fusion for stressing spectral preservation characteristic.
6. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that into
In the step of row remote sensing images and unmanned plane image co-registration, melting for multi-source image is determined according to the type of multi-source geographic information data
Conjunction method；Wherein, remote sensing images include multispectral image and full-color image, and fusion method includes:
HIS+ laplacian pyramid fusion method: suitable for the fusion between full-color image, HSI change is carried out to image to be fused
It changes, then component carries out Laplace multi-level decomposition, obtains fused image by HSI inverse transformation；
HIS+A trous Wavelet Fusion method: suitable for the fusion between multispectral image and full-color image, to mostly light to be fused
Spectrogram picture carries out HSI transformation, then carries out 2 rank wavelet transformations to obtained luminance component I and full-color image, by full-colour image
Low-frequency information be fused in multispectral image, while the high fdrequency component of full-colour image is replaced into brightness in multispectral image
High fdrequency component of the component after wavelet transformation, then carries out inverse wavelet transform, carries out image using the equalization method of image and melts
It closes；
High frequency modulated fusion method: suitable for merging between high-resolution image and the image of low resolution, by high-resolution shadow
Picture
P(i, j) it is multiplied with low resolution kth wave band the multispectral image M(i, j of spatial registration), and divided by high-resolution
Image P(i, j) image LPH(i, j that are obtained after low-pass filtering) obtain enhanced kth Band fusion image, formula
Are as follows:
Wavelet Fusion method: suitable for the fusion between multispectral image and full-color image, image to be fused is carried out respectively more
Then resolution decomposition carries out fusion treatment to the low-frequency information of picture breakdown and high-frequency information, finally obtains by composition algorithm
To blending image.
7. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that other
Map derived data includes at least map vector, Beidou location data and dem data.
8. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that right
The map that multi-source geographic information data fusion obtains carried out in the step of vector data analysis and raster data analysis,
Vector data analysis is the analysis provided for the common vector data in geographical information platform application, including space is looked into
Inquiry, buffer zone analysis, space overlapping；
Raster data analysis counts and including grid algebraic operation, apart from grid analysis, hydrological analysis, grid towards digital elevation
The terrain analysis of model.
9. the two three-dimensional map methods of exhibiting according to claim 1 based on multisource data fusion, which is characterized in that right
The map that multi-source geographic information data fusion obtains carried out in the step of environment viewing operation setting and three dimensional analysis,
Realize map scene walkthrough, customized flight path and creation and edit object by environment viewing operation setting, with
Displaying live view, inquiry, the usage scenario for editing two three-dimensional datas in scene；
Three dimensional analysis is analyzed on the basis of three-dimensional data Visualization, realizes the three-dimensional space accelerated based on GPU
Analytic function, the three dimensional analysis ability that three-dimensional network analysis, three-dimensional amount point counting are analysed.
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| WO2023123583A1 (en) * | 2021-12-30 | 2023-07-06 | 山东省地质测绘院 | Fusion method, apparatus and system suitable for geological data and geographic information data |
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| CN115205718B (en) * | 2022-09-19 | 2022-12-13 | 西安恒歌数码科技有限责任公司 | Geographic information measuring system and measuring method thereof |
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