CN109741446A - A kind of method of the fine coastal landform of dynamic generation in three-dimensional digital earth - Google Patents
A kind of method of the fine coastal landform of dynamic generation in three-dimensional digital earth Download PDFInfo
- Publication number
- CN109741446A CN109741446A CN201811514604.2A CN201811514604A CN109741446A CN 109741446 A CN109741446 A CN 109741446A CN 201811514604 A CN201811514604 A CN 201811514604A CN 109741446 A CN109741446 A CN 109741446A
- Authority
- CN
- China
- Prior art keywords
- data
- coastline
- coastal
- landform
- satellite photo
- 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
Links
Landscapes
- Processing Or Creating Images (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of methods of the fine coastal landform of dynamic generation in three-dimensional digital earth, are related to the fine coastal landform field of earth dynamic generation.It the described method comprises the following steps: S1: data acquisition and pretreatment；S2: coastline data extraction process；S3: the generation of coastal landform grid data；S4: the generation of seashore detail textures data.The present invention is based on existing terrain generating technology, utilize satellite photo data, ground elevation data and coastline vector data, the coastline high-precision landform grid generating alogrithm and detail textures generating algorithm of combined innovation obtain high-precision coastline, coastal landform grid and seashore detail textures, precision and effect are generated closer to the three-dimensional digital earth coastal landform of true environment, can be widely applied in fields such as GIS-Geographic Information System, emulation.
Description
Technical field
The present invention relates to the fine coastal landform field of earth dynamic generation, dynamically given birth in especially a kind of three-dimensional digital earth
At the method for fine coastal landform.
Background technique
In recent years, due to a variety of artificial origins and natural cause, lead to occur greenhouse effects on the earth, i.e., global climate by
Gradual change is warm.Global warming leads to glacier recession, and sea level rise, then can be achieved the monitoring that sea level rise from certain
To the monitoring of global warming in degree.Therefore, as global warming leads to that sea level rise, people are increasingly closed
The variation in coastline is infused, so producing the demand for carrying out seashore line analysis and displaying in three-dimensional scenic.But at present more
For popular Google Earth and osgearth, high-precision coastline can not be all shown, it can only be using satellite photo as coastline
Texture display effect is poor.
The grid calculating method of three-dimensional digital earth landform fining has some relevant technologies, a kind of anti-distance power at present
Weight method (IDW--Inverse Distance Weighted), in the case where seashore wire shaped is more complicated, effect is poor.Separately
One is the splines methods (Spline with Barriers) containing obstacle, and the method calculating process is complex, it is time-consuming compared with
It is long, it is unable to satisfy the requirement for generating high-precision coastal landform in real time in three-dimensional digital earth.
In this case, in order to prevent global warming, prevention global warming generate adverse effect,
A kind of method that can accurately generate fine coastal landform is needed, is realized to the more accurate real-time monitoring in coastline, thus
Realize the more accurate real-time monitoring to sea level rise situation and global warming situation.
Summary of the invention
Goal of the invention of the invention is: being directed to above-mentioned problems of the prior art, with providing a kind of 3-dimensional digital
The method of the fine coastal landform of dynamic generation on ball, based on existing terrain generating technology, the coastline high-precision of combined innovation
Terrain mesh generating algorithm and detail textures generating algorithm, generate precision and effect closer to true environment 3-dimensional digital
Ball coastal landform can be widely applied in fields such as GIS-Geographic Information System, emulation.
The technical solution adopted by the invention is as follows:
A kind of method of the fine coastal landform of dynamic generation in three-dimensional digital earth, which is characterized in that the method includes
Following steps: S1: data acquisition and pretreatment, including satellite photo data, ground elevation data and seashore line vector
The acquisition of data further includes carrying out data prediction to satellite photo data, ground elevation data and coastline vector data；
S2: coastline data extraction process is handled using satellite photo data, ground elevation data and coastline vector data and is extracted
Coastline data out；S3: the generation of coastal landform grid data is handled using the ground elevation data obtained are interpolated
To the altitude data of each point of coastal landform, to generate coastal landform grid data；S4: the life of seashore detail textures data
At including to the progress object information identification of satellite photo data, the i.e. land to coastline two sides in satellite photo data
The region on ground, seawater and blending portion carries out area identification, generates coast type mask figure using the area information, described to cover
Code diagram data reflects the detail textures of the regional scope of different type seashore, and mask diagram data is corresponding to obtain different type sea
The data texturing of bank regional scope；S5: utilizing coastline data, coastal landform grid data and seashore detail textures data,
Earth coastal landform is obtained using terrain generating technology.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Step S2 specific steps are as follows: S2.1: utilizing edge detection algorithm following limb line drawing coastline to satellite photo data, and
Result is attached by the processing of morphology (expansion, corrosion) algorithm, continuous water front is obtained, obtains coastline at this time
Result data A；S2.2: special using transition of the coastline of coast types different in satellite photo data in picture shading value
Sign, demarcates coastline, obtains coastline result data B；S2.3: contour line data is generated using altitude data, is passed through
Coastline result data C is obtained compared with the elevation numerical value of coastline；S2.4: seashore line number in existing coastline vector data
According to as coastline result data D；S2.5: to coastline result data A, B, C, D by obtaining final seashore after processing
Line result data E.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Step S2.5 specifically: obtain final coastline result after being handled by weighting summation coastline result data A, B, C, D
Data E, wherein calculation formula are as follows: E=wAA+wBB+wcC+wdD。
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Object information identification is carried out to satellite photo data in step S4, is referred specifically to based on image recognition technology, to satellite photo data
Carry out the identification of seashore mulching material details and coastline.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Coast type mask figure is generated using the area information in step S4, wherein different type coastal region range is true in mask figure
It is fixed also to need to combine altitude data, altitudinal gradient is calculated using the calculated contour of altitude data, utilizes different type sea
The mask figure that different type coastal region range determines can be obtained in combination with area information in difference of the bank on altitudinal gradient.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Mask diagram data correspondence obtains seashore detail textures data in step S4, wherein mask figure and different type coastal region range
Data texturing between corresponding relationship be that a mask figure corresponds to the data texturing of a type of coastal region range.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the object
Information identifies specific steps are as follows: S4.1: by satellite photo data gray；S4.2: using Gammma correction method to input satellite
The standardization of image data progress color space；S4.3: the gradient of each pixel of satellite photo data is calculated；S4.4: by satellite
Image data is divided into multiple images unit, counts the gradient orientation histogram of each elementary area, can form each image
The histograms of oriented gradients feature of unit describes data；S4.5: multiple elementary areas that close on are formed into an image block, image block
The histograms of oriented gradients feature of interior all elementary areas describes the direction gradient histogram that data concatenating gets up to obtain the image block
Figure feature describes data；S4.6: serial data is described into the histograms of oriented gradients feature of all image blocks in satellite photo data
The histograms of oriented gradients feature that connection obtains satellite photo data describes data；S4.7: utilizing CNN pattern classification model, according to
The histograms of oriented gradients feature of satellite photo data describes data and carries out content recognition to satellite photo data.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
To include: satellite photo data obtain color imaging data by registration, fusion to data prediction in step S1, using known
Dominating pair of vertices data carry out Geometry rectification and projection correction；Altitude data passes through interpolation processing, and solution may be led because of objective factor
The data loophole problem of cause, and kept and satellite photo data coordinates systems compliant by coordinate conversion.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1, the method for the fine coastal landform of three-dimensional digital earth dynamic generation provided by the invention, using to satellite mapping the piece number
It extracts to obtain coastline data according to the processing of, three kinds of data of ground elevation data and coastline vector data, can be obtained more quasi-
True coastline data.
2, the method for the fine coastal landform of three-dimensional digital earth dynamic generation provided by the invention, using to ground elevation number
Original known point height value in ground elevation data and its are obtained in coastal landform grid to be generated according to interpolation processing is carried out
The height value of its unknown point, to obtain seashore high-precision terrain mesh.
3, the method for the fine coastal landform of three-dimensional digital earth dynamic generation provided by the invention, using to satellite mapping the piece number
According to image recognition is carried out, zone marker and identification are carried out to the region of the land of coastline two sides, seawater and blending portion, obtained
To seashore high-precision detail textures.
4, the method for the fine coastal landform of three-dimensional digital earth dynamic generation provided by the invention, utilizes existing terrain generation
Technology, the coastline high-precision landform grid generating alogrithm and detail textures generating algorithm of combined innovation generate precision and effect
Closer to the earth coastal landform of true environment.
Specific embodiment
In order to make those skilled in the art more fully understand technical solution of the present invention, technical solution of the present invention is carried out clear
Chu, complete description, based on the embodiment in the application, those of ordinary skill in the art are not making creative work
Under the premise of other similar embodiments obtained, shall fall within the protection scope of the present application.
Embodiment 1
A kind of method of the fine coastal landform of dynamic generation in three-dimensional digital earth, which is characterized in that the method includes
Following steps: S1: data acquisition and pretreatment, including satellite photo data, ground elevation data and seashore line vector
The acquisition of data further includes carrying out data prediction to satellite photo data, ground elevation data and coastline vector data；
S2: coastline data extraction process is handled using satellite photo data, ground elevation data and coastline vector data and is extracted
Coastline data out；S3: the generation of coastal landform grid data is handled using the ground elevation data obtained are interpolated
To the altitude data of each point of coastal landform, to generate coastal landform grid data；S4: the life of seashore detail textures data
At including to the progress object information identification of satellite photo data, the i.e. land to coastline two sides in satellite photo data
The region on ground, seawater and blending portion carries out area identification, generates coast type mask figure using the area information, described to cover
Code diagram data reflects the detail textures of the regional scope of different type seashore, and mask diagram data is corresponding to obtain different type sea
The data texturing of bank regional scope；S5: utilizing coastline data, coastal landform grid data and seashore detail textures data,
Earth coastal landform is obtained using terrain generating technology.
Coastal landform grid to be generated is obtained using to ground altitude data progress interpolation processing in step 3 of the present invention
In original known point height value in ground elevation data and other unknown points height value, thus obtain seashore high-precision
Terrain mesh.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Step S2 specific steps are as follows: S2.1: utilizing edge detection algorithm following limb line drawing coastline to satellite photo data, and
Result is attached by the processing of morphology (expansion, corrosion) algorithm, continuous water front is obtained, obtains coastline at this time
Result data A；S2.2: special using transition of the coastline of coast types different in satellite photo data in picture shading value
Sign, demarcates coastline, obtains coastline result data B；S2.3: contour line data is generated using altitude data, is passed through
Coastline result data C is obtained compared with the elevation numerical value of coastline；S2.4: seashore line number in existing coastline vector data
According to as coastline result data D；S2.5: to coastline result data A, B, C, D by obtaining final seashore after processing
Line result data E.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Step S2.5 specifically: obtain final coastline result after being handled by weighting summation coastline result data A, B, C, D
Data E, wherein calculation formula are as follows: E=wAA+wBB+wcC+wdD。
It is utilized in the present invention to satellite photo data, ground elevation data and coastline vector data three kinds of data
Processing extracts and obtains coastline data, and more accurate coastline data can be obtained.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Object information identification is carried out to satellite photo data in step S4, is referred specifically to based on image recognition technology, to satellite photo data
Carry out the identification of seashore mulching material details and coastline.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Coast type mask figure is generated using the area information in step S4, wherein different type coastal region range is true in mask figure
It is fixed also to need to combine altitude data, altitudinal gradient is calculated using the calculated contour of altitude data, utilizes different type sea
The mask figure that different type coastal region range determines can be obtained in combination with area information in difference of the bank on altitudinal gradient.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
Mask diagram data correspondence obtains seashore detail textures data in step S4, wherein mask figure and different type coastal region range
Data texturing between corresponding relationship be that a mask figure corresponds to the data texturing of a type of coastal region range.
Image recognition is carried out using to satellite photo data in the present invention, to the land of coastline two sides, seawater and friendship
The region of remittance part carries out zone marker and identification, obtains high-precision seashore detail textures data in conjunction with altitude data.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the object
Information identifies specific steps are as follows: S4.1: by satellite photo data gray；S4.2: using Gammma correction method to input satellite
The standardization of image data progress color space；S4.3: the gradient of each pixel of satellite photo data is calculated；S4.4: by satellite
Image data is divided into multiple images unit, counts the gradient orientation histogram of each elementary area, can form each image
The histograms of oriented gradients feature of unit describes data；S4.5: multiple elementary areas that close on are formed into an image block, image block
The histograms of oriented gradients feature of interior all elementary areas describes the direction gradient histogram that data concatenating gets up to obtain the image block
Figure feature describes data；S4.6: serial data is described into the histograms of oriented gradients feature of all image blocks in satellite photo data
The histograms of oriented gradients feature that connection obtains satellite photo data describes data；S4.7: utilizing CNN pattern classification model, according to
The histograms of oriented gradients feature of satellite photo data describes data and carries out content recognition to satellite photo data.
The method of the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth, which is characterized in that the method
To include: satellite photo data obtain color imaging data by registration, fusion to data prediction in step S1, using known
Dominating pair of vertices data carry out Geometry rectification and projection correction；Altitude data passes through interpolation processing, and solution may be led because of objective factor
The data loophole problem of cause, and kept and satellite photo data coordinates systems compliant by coordinate conversion.
The present invention is using existing terrain generating technology, the coastline high-precision landform grid generating alogrithm of combined innovation and thin
The three-dimensional digital earth coastal landform of section texture generating algorithm, generation precision and effect closer to true environment.Wherein, step
Data prediction, which carries out altitude data interpolation processing, in S1 keeps data smoothened, and main purpose is the complete of guarantee seashore grid
Whole property guarantees that data void holes are not present in altitude data grid when later process.Altitude data interpolation processing emphasis in step S3
It is that process of refinement is carried out to seashore elevation grid, it is different from the interpolation processing of data prediction in step S1, it is high in step S3
Number of passes uses specific interpolation processing process according to interpolation processing, obtains more more quasi- interpolation points, and guarantee obtains high-precision sea
Bank terrain mesh.
Embodiment 2
The present invention provides a kind of method established and presented on 3-dimensional digital celestial body including seawater, fine seashore effect,
It is generated including data acquisition, tidal saltmarsh processing, coast type (basement rock, chiltern, gravel, artificial four seed type) mask, sea
Ocean and land grid fining three-dimensional modeling and rendering.
Step 1. data acquisition
High-resolution, high-precision satellite photo are shot by high-resolution remote sensing satellite, is obtained by satellite borne equipment
Ground elevation information, existing coastline vector database, all data are used as the input of subsequent step after treatment.
Tell processing specifically:
Satellite photo data obtain high-precision color imaging data by registration, fusion, utilize known dominating pair of vertices
Data carry out Geometry rectification and projection correction.
High number data solve the problems, such as after interpolation processing may be because of data loophole caused by objective factor, and passes through coordinate
Conversion keeps consistent with satellite photo coordinate system.
Existing coastline vector database data be in continuous tidal saltmarsh enrich and it is perfect, by continuous
Update form the seashore vector database of high quality.
Three kinds of data are coordinately transformed, unified coordinate system, using consistent space coordinates.
The processing of step 2. tidal saltmarsh
Apparent main feature is compared using coastline two sides in satellite photo, utilizes edge detection algorithm following limb line
Coastline is extracted, and result is attached by the processing of morphology (expansion, corrosion) algorithm, obtains continuous water front, this
When obtain coastline result A.It is special using transition of the coastline of coast types different in satellite photo in picture shading value
Sign, demarcates coastline, obtains coastline result B.Using fine altitude data generate contour line data, by with sea
Water front elevation numerical value relatively obtains coastline result C.Existing coastline vector database data D as a result.To above-mentioned four
Kind coastline result data obtains final coastline result E after handling by weighting summation.Calculation formula are as follows:
E=wAA+wBB+wcC+wdD
Wherein: wAIndicate the weight of result A, wBIndicate the weight of result B, wCIndicate the weight of result C, wDIndicate result
The weight of D, and wA+wB+wC+wD=1.
The generation of step 3. seashore high-precision terrain mesh
Since the grid precision of 3-dimensional digital is unable to reach precision required for coastline, so needing within the scope of viewpoint
Coastline into fining interpolation processing.Specific step is as follows:
1. according within the scope of viewpoint elevational point and range data construction variogram c (h), variogram only depend on point
Every their elevation h, and specific geographic latitude and longitude position (x, y) is not depended on, can obtained:
2. utilizing the semivariance r of the calculated coastal landform elevational point i and j of formulai,jAnd then construct semivariance matrix.
3. by taking elevational point v as an example, coastal region landform altitude value variable quantity meets according to the weight coefficient for seeking estimator
Estimate variance formula are as follows:
In formula: Ci,jIndicate the covariance of known coastline gridded elevation point i and j.
4. the elevation variable of the landform of coastal landform meet it is intrinsic it is assumed that using covariance function and variogram relationship
R (h)=C (0)-C (h), can be obtained the variogram equation group of new coastal landform elevational point:
In formula: ri,jIndicate the semivariance of elevational point i and j.
5. the value of weight coefficient and coastal landform elevational point to be generated that solving equations obtain, while obtaining interpolation mistake
Difference is indicated with matrix form are as follows:
K γ=D
In formula:
K is the matrix of the semivariance composition between elevation sample point, and D is the distance value between point v to be valuated and known elevational point
The vector formed with constant 1.
Valuation to elevation elevational point v unknown in fine seashore grid are as follows:
It can be seen that there is the vector D of known elevational point Yu other unknown elevational points in seashore wire grid Central Plains, obtained further according to formula
All position elevational points in seashore fine grid blocks can be obtained in the weight coefficient and valuation variance of the elevational point arrived, iterative cycles
Valuation elevation and valuation variance.
The generation of step 4. seashore high-precision detail textures
After carrying out to coastal landform grid process of refinement, object information identification is carried out to satellite photo, i.e. judgement figure
It seem no comprising certain class object, detection then requires to mark position and the size of these objects.I.e. to four classes (basement rock, chiltern, gravel
It is stone, artificial) the type object range of the land parts of shoreline types is identified, generate corresponding Type Mask figure.According to
The position of coastline mark carries out region mark to the region on the land of coastline two sides, seawater and blending portion in satellite photo
Know, using the area information generate coast type mask figure, rendering when can real-time rendering go out different grain effects.
For basement rock type seashore, seawater field color is deeper, and land is of light color, and blending portion is narrow, the mask of generation
Region is the narrow banded region along coastline.For gravel type seashore, seawater region and land area color contrast are bright
Aobvious, blending portion is slightly wide, and gravel region, respectively landwards with the extension that has certain amplitude in ocean, is shown as along coastline
Along the slightly wide belt-like zone in coastline.For sandy type seashore, it is more that land extends to extra large water part, shows as
Light areas is larger on satellite photo, chiltern region along coastline respectively landwards with have extension by a relatively large margin in ocean,
Show as the wider region along coastline.The seashore of artificial type is similar with gravel type seashore.
Different type seashore mask regional scope, which determines, also needs to combine altitude data, calculated etc. using altitude data
High line computation goes out altitudinal gradient, utilizes the different meters of basement rock, chiltern, gravel and artificial four seed types seashore on altitudinal gradient
Calculate last regional scope.Gradient calculation formula is as follows:
Wherein, p, q respectively indicate the gradient value in the direction x and the direction y.
Its specific implementation step is as follows:
1. satellite photo content recognition
Based on image recognition technology, the identification of the coverings and coastline such as vegetation, sandstone is carried out to high-precision satellite photo,
Final result is saved in the form of mask figure.Detailed process is as follows:
1.1 by image gray processing.
1.2 carry out the standardization of color space using Gammma correction method to input picture, it is therefore an objective to adjust pair of image
Than degree, reduce image local shade and illumination variation caused by influence, while the interference of noise can be inhibited.
Gamma compresses formula:
I (x, y)=I (x, y)gamma
1.3 calculate the gradient of each pixel of image, and main purpose is to capture profile information, while further weakened light
According to interference.
The gradient of pixel (x, y) in image are as follows:
Gx(x, y)=H (x+1, y)-H (x-1, y)
Gy(x, y)=H (x, y+1)-H (x, y-1)
G in formulax(x,y),Gy(x, y), H (x, y) respectively indicate the ladder of the horizontal direction in input picture at pixel (x, y)
Degree, vertical gradient and pixel value, gradient magnitude and gradient direction at pixel (x, y) are respectively as follows:
Convolution algorithm is done to original image with [- 1,0,1] gradient operator first, obtains the gradient component gradscalx in the direction x,
Then [1,0, -1] is usedTGradient operator does convolution algorithm to original image, obtains the gradient component gradscaly in the direction y, then again
Gradient magnitude and the direction of the pixel are calculated with above formula.
1.4 divide an image into small cells, count the histogram of gradients of each cell, can form each cell's
descriptor。
Multiple cell are formed a block by 1.5, and the feature descriptor of all cell connects in a block
Just to obtain the HOG feature descriptor of the block.
1.6, which are together in series the HOG feature descriptor of block all in image image, can be obtained by image
HOG feature descrptor, this is exactly final for the feature vector that uses of classifying.
1.7 are identified and are classified to final result using CNN technology.
2. mask generates
It obtains different type coastal region range as a result, in conjunction with altitude data with classification using Object identifying and determines
Mask figure.
3. being superimposed texture
Different mask figures respectively correspond different detail textures types, and the superposition of every kind of detail textures can be controlled by component
Ratio finally obtains superimposed coastal landform detail textures.
Step 5. generates earth coastal landform
Using coastline data, coastal landform grid data and seashore detail textures data, terrain generating technology is used
Obtain earth coastal landform.
All features disclosed in this specification or disclosed all methods or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.This specification (including any accessory claim, abstract)
Disclosed in any feature, unless specifically stated, can alternative features equivalent by other or with similar purpose replaced
It changes.That is, unless specifically stated, each feature is an example in a series of equivalent or similar characteristics.
The invention is not limited to specific embodiments above-mentioned.The present invention, which expands to, any in the present specification to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (8)
1. a kind of method of the fine coastal landform of dynamic generation in three-dimensional digital earth, which is characterized in that the method includes with
Lower step:
S1: data acquisition and pretreatment, including satellite photo data, ground elevation data and coastline vector data
It obtains, further includes that data prediction is carried out to satellite photo data, ground elevation data and coastline vector data；
S2: coastline data extraction process is handled using satellite photo data, ground elevation data and coastline vector data and is mentioned
Take out coastline data；
S3: the generation of coastal landform grid data obtains coastal landform using the interpolated processing of the ground elevation data obtained
Each point altitude data, to generate coastal landform grid data；
S4: the generation of seashore detail textures data carries out object information identification including to satellite photo data, i.e., to satellite
The region on the land of coastline two sides, seawater and blending portion carries out area identification in image data, is produced using the area information
Raw coast type mask figure, the detail textures of the regional scope of the mask diagram data reflection different type seashore, mask figure number
The data texturing of different type coastal region range is obtained according to correspondence；
S5: coastline data, coastal landform grid data and seashore detail textures data are utilized, are obtained using terrain generating technology
Obtain earth coastal landform.
2. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as described in claim 1, which is characterized in that
The method step S2 specific steps are as follows:
S2.1: edge detection algorithm following limb line drawing coastline is utilized to satellite photo data, and (swollen by morphology
Swollen, corrosion) processing of algorithm is attached result, obtains continuous water front, obtain coastline result data A at this time；
S2.2: using Interim of the coastline of coast types different in satellite photo data in picture shading value, to sea
Water front is demarcated, and coastline result data B is obtained；
S2.3: contour line data is generated using altitude data, by obtaining coastline number of results compared with the elevation numerical value of coastline
According to C；
S2.4: coastline data are as coastline result data D in existing coastline vector data；
S2.5: to coastline result data A, B, C, D by obtaining final coastline result data E after processing.
3. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as claimed in claim 2, which is characterized in that
The method step S2.5 specifically: obtain final sea after being handled by weighting summation coastline result data A, B, C, D
Water front result data E, wherein calculation formula are as follows: E=wAA+wBB+wcC+wdD。
4. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as described in claim 1, which is characterized in that
Object information identification is carried out to satellite photo data in the method step S4, is referred specifically to based on image recognition technology, to satellite
The identification of image data progress seashore mulching material details and coastline.
5. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as described in claim 1, which is characterized in that
Coast type mask figure is generated using the area information in the method step S4, wherein different type coastal region in mask figure
Range, which determines, also to be needed to combine altitude data, is calculated altitudinal gradient using the calculated contour of altitude data, is utilized difference
Covering for different type coastal region range determination can be obtained in combination with area information in difference of the type seashore on altitudinal gradient
Code figure.
6. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as described in claim 1, which is characterized in that
Mask diagram data correspondence obtains seashore detail textures data in the method step S4, wherein mask figure and different type coastal
Corresponding relationship between the data texturing of domain range is that a mask figure corresponds to the texture number of a type of coastal region range
According to.
7. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as claimed in claim 4, which is characterized in that
The object information identifies specific steps are as follows:
S4.1: by satellite photo data gray；S4.2: color is carried out to input satellite photo data using Gammma correction method
The standardization in space；S4.3: the gradient of each pixel of satellite photo data is calculated；S4.4: satellite photo data are divided into more
A elementary area counts the gradient orientation histogram of each elementary area, and the direction gradient that can form each elementary area is straight
Square figure feature describes data；S4.5: multiple elementary areas that close on are formed into an image block, the side of all elementary areas in image block
It describes data concatenating to histogram of gradients feature and gets up to obtain the histograms of oriented gradients feature of the image block to describe data；
S4.6: the histograms of oriented gradients feature of all image blocks in satellite photo data is described into data concatenating and obtains satellite mapping the piece number
According to histograms of oriented gradients feature data are described；S4.7: CNN pattern classification model is utilized, according to the side of satellite photo data
Data are described to histogram of gradients feature, and content recognition is carried out to satellite photo data.
8. the method for the fine coastal landform of dynamic generation in a kind of three-dimensional digital earth as described in claim 1, which is characterized in that
Data prediction includes: that satellite photo data pass through registration, fusion obtains color imaging data in the method step S1, is utilized
Known dominating pair of vertices data carry out Geometry rectification and projection correction；Altitude data passes through interpolation processing, and solution may be because objective
Data loophole problem caused by factor, and kept and satellite photo data coordinates systems compliant by coordinate conversion.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811514604.2A CN109741446B (en) | 2018-12-12 | 2018-12-12 | Method for dynamically generating fine coast terrain by three-dimensional digital earth |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811514604.2A CN109741446B (en) | 2018-12-12 | 2018-12-12 | Method for dynamically generating fine coast terrain by three-dimensional digital earth |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109741446A true CN109741446A (en) | 2019-05-10 |
| CN109741446B CN109741446B (en) | 2022-12-16 |
Family
ID=66359336
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811514604.2A Active CN109741446B (en) | 2018-12-12 | 2018-12-12 | Method for dynamically generating fine coast terrain by three-dimensional digital earth |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109741446B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785910A (en) * | 2019-11-07 | 2021-05-11 | 中国石油天然气集团有限公司 | Large-dynamic-range nonlinear geophysical contour map drawing method and device |
| CN113298927A (en) * | 2020-12-14 | 2021-08-24 | 阿里巴巴（中国）有限公司 | Data processing method, application interface display device and auxiliary operation method and device |
| CN113739788A (en) * | 2021-08-03 | 2021-12-03 | 中山大学 | Geographical position correction method and device for brightness temperature data |
| CN115511390A (en) * | 2022-11-14 | 2022-12-23 | 南方科技大学 | Method, system, terminal and storage medium for evaluating vulnerability of coastal river |
| CN116047546A (en) * | 2022-07-07 | 2023-05-02 | 北京玖天气象科技有限公司 | Mountain fire monitoring method based on multi-source satellite data |
| CN118396900A (en) * | 2024-07-01 | 2024-07-26 | 武汉国遥新天地信息技术有限公司 | Global digital twin system coast restoration method based on TIN |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5053778A (en) * | 1989-08-10 | 1991-10-01 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Generation of topographic terrain models utilizing synthetic aperture radar and surface level data |
| CN107909002A (en) * | 2017-08-07 | 2018-04-13 | 北京航空航天大学 | Based on the matched infrared remote sensing image sea land dividing method in coastline |
-
2018
- 2018-12-12 CN CN201811514604.2A patent/CN109741446B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5053778A (en) * | 1989-08-10 | 1991-10-01 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Generation of topographic terrain models utilizing synthetic aperture radar and surface level data |
| CN107909002A (en) * | 2017-08-07 | 2018-04-13 | 北京航空航天大学 | Based on the matched infrared remote sensing image sea land dividing method in coastline |
Non-Patent Citations (1)
| Title |
|---|
| 刘善伟等: "遥感与DEM相结合的海岸线高精度提取方法", 《遥感技术与应用》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785910A (en) * | 2019-11-07 | 2021-05-11 | 中国石油天然气集团有限公司 | Large-dynamic-range nonlinear geophysical contour map drawing method and device |
| CN112785910B (en) * | 2019-11-07 | 2023-07-25 | 中国石油天然气集团有限公司 | Large dynamic range nonlinear geophysical contour drawing method and device |
| CN113298927A (en) * | 2020-12-14 | 2021-08-24 | 阿里巴巴（中国）有限公司 | Data processing method, application interface display device and auxiliary operation method and device |
| CN113739788A (en) * | 2021-08-03 | 2021-12-03 | 中山大学 | Geographical position correction method and device for brightness temperature data |
| CN113739788B (en) * | 2021-08-03 | 2023-05-23 | 中山大学 | Geographic position correction method and device for bright temperature data |
| CN116047546A (en) * | 2022-07-07 | 2023-05-02 | 北京玖天气象科技有限公司 | Mountain fire monitoring method based on multi-source satellite data |
| CN116047546B (en) * | 2022-07-07 | 2024-02-27 | 北京玖天气象科技有限公司 | Mountain fire monitoring method based on multi-source satellite data |
| CN115511390A (en) * | 2022-11-14 | 2022-12-23 | 南方科技大学 | Method, system, terminal and storage medium for evaluating vulnerability of coastal river |
| CN118396900A (en) * | 2024-07-01 | 2024-07-26 | 武汉国遥新天地信息技术有限公司 | Global digital twin system coast restoration method based on TIN |
| CN118396900B (en) * | 2024-07-01 | 2024-09-24 | 武汉国遥新天地信息技术有限公司 | Global digital twin system coast restoration method based on TIN |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109741446B (en) | 2022-12-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109741446A (en) | A kind of method of the fine coastal landform of dynamic generation in three-dimensional digital earth | |
| Nakamae et al. | A montage method: The overlaying of the computer generated images onto a background photograph | |
| JP5025803B2 (en) | How to visualize point cloud data | |
| CN104820991B (en) | A kind of multiple soft-constraint solid matching method based on cost matrix | |
| CN108765488B (en) | Shadow-based high-resolution remote sensing image building height estimation method | |
| CN107077740A (en) | For the method and system for the speed for determining to move flow surface | |
| CN110335355B (en) | Automatic calculation method for water level height of large shallow lake | |
| CN107247927A (en) | A kind of remote sensing images coastline information extracting method and system based on K-T Transformation | |
| CN106017367A (en) | Canopy density determining method and apparatus | |
| CN108364279A (en) | Determine the method that stationary orbit remote sensing satellite is directed toward deviation | |
| Meehan et al. | Detecting trends in seagrass abundance using aerial photograph interpretation: problems arising with the evolution of mapping methods | |
| Prodanov et al. | Applying Unmanned Aerial Vehicles for high-resolution geomorphological mapping of the Ahtopol coastal sector (Bulgarian Black Sea coast) | |
| Xue et al. | Flood monitoring by integrating normalized difference flood index and probability distribution of water bodies | |
| Hu et al. | Building modeling from LiDAR and aerial imagery | |
| Beiranvand et al. | Evaluation of changes in per capita green space through remote sensing data | |
| Yoo et al. | Coastal mapping of Jinu-do with UAV for Busan smart city, Korea | |
| Sewiko et al. | The use of drone and visible atmospherically resistant index (vari) algorithm implementation in mangrove ecosystem health’s monitoring | |
| CN115760885A (en) | High-canopy-density wetland forest parameter extraction method based on consumption-level unmanned aerial vehicle image | |
| Ali et al. | Use of satellite data and GIS for soil mapping and capability assessment | |
| Nguyen-Van-Anh et al. | The influence of satellite image spatial resolution on mapping land use/land cover: A case study of Ho Chi Minh City, Vietnam | |
| Grün et al. | Automatic reconstruction and visualization of a complex Buddha Tower of Bayon, Angkor, Cambodia | |
| Bozheva et al. | The effect of spatial resolution of remotely sensed data in dasymetric mapping of residential areas | |
| Walker et al. | Southeast Florida shallow-water habitat mapping & coral reef community characterization | |
| CN109919995A (en) | A kind of afforestation project amount visualization auditing method | |
| Lee et al. | Assessing the effects of external factors on sediment erosion and accumulation in an estuarine environment based on images from unmanned aerial vehicles: Namdaecheon, South Korea |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Method for Generating Fine Coastal Terrain from 3D Digital Earth Dynamics Effective date of registration: 20230821 Granted publication date: 20221216 Pledgee: Bank of China Limited Chengdu Development Zone West sub branch Pledgor: SICHUAN HUAKONG GRAPH TECHNOLOGY Co.,Ltd. Registration number: Y2023980053228 |