CN108375806A - The acquisition methods and device of weather-map - Google Patents
The acquisition methods and device of weather-map Download PDFInfo
- Publication number
- CN108375806A CN108375806A CN201711250200.2A CN201711250200A CN108375806A CN 108375806 A CN108375806 A CN 108375806A CN 201711250200 A CN201711250200 A CN 201711250200A CN 108375806 A CN108375806 A CN 108375806A
- Authority
- CN
- China
- Prior art keywords
- map
- weather
- meteorological
- data
- dynamic
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
Landscapes
- Environmental & Geological Engineering (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Ecology (AREA)
- Environmental Sciences (AREA)
- Instructional Devices (AREA)
- Processing Or Creating Images (AREA)
Abstract
This application discloses a kind of acquisition methods of weather-map and devices.This method includes：Acquire weather information set, wherein weather information set includes a plurality of types of data, wherein a plurality of types of data include at least：Satellite data, radar network composite data and meteorological prediction data；Each type of data in weather information set are converted into corresponding meteorological image according to color scale, obtain meteorological image set, wherein meteorological image set includes a variety of meteorological images；Meteorological image set is shown using preset algorithm, obtains dynamic weather-map.By the application, solve the problems, such as to be difficult to convert collected a variety of meteorological datas to high-resolution dynamic weather-map in the related technology.
Description
Technical field
This application involves process meteorological data fields, in particular to the acquisition methods and device of a kind of weather-map.
Background technology
In order to realize being accurately positioned of weather information and detailed grid equipment information, coordinate and convergence analysis, need
There is spatially very fine weather information, the general spatial resolution of the numerical forecast of meteorological department is all in 3km or so at present,
The resolution ratio of radar observation data is generally 1km, but radar observation data are only observed in real time, and can not furnish a forecast ability,
Therefore it needs to combine radar observation and numerical forecast, and the forecast information of large scale, low resolution is converted into small scale, height
The information of resolution ratio, and this type of information is used in combination with grid equipment information, it is that can power grid weather information platform in reality
The core technology to play a significant role in business.
Above-mentioned small scale, high-resolution meteorological data are often provided in a manner of gridding, and webgis is to use at present
A kind of very extensive geographic information displaying technology shows that a large amount of gridding information of dynamic change is power grid on webgis
The key of platform construction.Currently, there are many ripe webgis technologies for showing a large amount of Grid data, but these technologies
It is general to be all mainly directed towards static data, such as high-precision terrain elevation data, complicated three-dimensional building model etc., these data
It is the problems such as existing as static models, do not need real-time update and repaint after being illustrated on webgis.But it is right
In the lattice point meteorological data of high frequency variation, data will render for every 10 minutes again, it is often more important that, in practical application scene
In, user needs upper fast browsing in different times and plays the grid point meteorological data of fining, it is also necessary to some electricity
The meteorological data on net equipment periphery is analyzed in real time, and webgis is to a large amount of lattice point numbers in this requirement well beyond traditional sense
According to Functional Design.
For being difficult to convert collected meteorological data to asking for high-resolution dynamic weather-map in the related technology
Topic, currently no effective solution has been proposed.
Invention content
The main purpose of the application is to provide a kind of acquisition methods and device of weather-map, to solve in the related technology
The problem of being difficult to convert collected a variety of meteorological datas to high-resolution dynamic weather-map.
To achieve the goals above, according to the one side of the application, a kind of acquisition methods of weather-map are provided.It should
Method includes：
Acquire weather information set, wherein weather information set includes a plurality of types of data, wherein a plurality of types of
Data include at least：Satellite data, radar network composite data and meteorological prediction data；
Each type of data in weather information set are converted into corresponding meteorological image according to color scale, obtain gas
As image collection, wherein meteorological image set includes a variety of meteorological images；
Meteorological image set is shown using preset algorithm, obtains dynamic weather-map.
Further, meteorological image set is shown using preset algorithm, obtaining dynamic weather-map includes：To meteorological image
Meteorological image in set carries out full figure and shows, obtains dynamic weather-map.
Further, full figure is carried out to the meteorological image in meteorological image set to show, after obtaining dynamic weather-map,
This method further includes：Reverse sawtooth processing is carried out to dynamic weather-map.
Further, the meteorological image set, after obtaining dynamic weather-map, the party are being shown using preset algorithm
Method further includes：
Target location is determined on dynamic weather-map；
Target zone is determined according to target location；
The corresponding color in target location is obtained on dynamic weather-map；
The meteorological data in target zone is obtained according to the corresponding color in target location.
To achieve the goals above, according to the another aspect of the application, a kind of acquisition device of weather-map is provided.It should
Device includes：
Collecting unit, for acquiring weather information set, wherein weather information set includes a plurality of types of data,
In, a plurality of types of data include at least：Satellite data, radar network composite data and meteorological prediction data；
Each type of data in weather information set are converted to corresponding meteorological chart by converting unit according to color scale
Picture obtains meteorological image set, wherein meteorological image set includes a variety of meteorological images；
Display unit obtains dynamic weather-map for showing meteorological image set using preset algorithm.
Further, display unit includes full figure display module, for being carried out to the meteorological image in meteorological image set
Full figure is shown, obtains dynamic weather-map.
Further, display unit further includes reverse sawtooth module, for carrying out reverse sawtooth processing to dynamic weather-map.
Further, which further includes：
Goal setting module：For showing the meteorological image set using preset algorithm, dynamic weather-map is obtained
Later, target location is determined on the dynamic weather-map；
Range setting module：For determining target zone according to the target location；
Matching module：For obtaining the corresponding color in the target location on the dynamic weather-map；
Acquisition module：The meteorological data in the target zone is obtained according to the corresponding color in the target location.
To achieve the goals above, according to the another aspect of the application, a kind of storage medium is provided, storage medium includes
The program of storage, wherein program executes the acquisition methods of any one of the above weather-map.
To achieve the goals above, according to the another aspect of the application, a kind of processor is provided, processor is for running
Program, wherein program executes the acquisition methods of any one of the above weather-map when running.
By the application, using following steps：Acquire weather information set, wherein the weather information set includes more
The data of type, wherein a plurality of types of data include at least：Satellite data, radar network composite data and weather prognosis
Data；Each type of data in the weather information set are converted into corresponding meteorological image according to color scale, are obtained
Meteorological image set, wherein the meteorological image set includes a variety of meteorological images；The meteorology is shown using preset algorithm
Image collection obtains dynamic weather-map, solves and is difficult to convert collected a variety of meteorological datas to height in the related technology
The problem of dynamic weather-map of resolution ratio.And then reaches and converted collected a variety of meteorological datas to high-resolution move
The effect of state weather-map.
Description of the drawings
The attached drawing constituted part of this application is used for providing further understanding of the present application, the schematic reality of the application
Example and its explanation are applied for explaining the application, does not constitute the improper restriction to the application.In the accompanying drawings：
Fig. 1 is the flow chart according to the acquisition methods of weather-map provided by the embodiments of the present application；And
Fig. 2 is the schematic diagram according to the acquisition device of weather-map provided by the embodiments of the present application.
Specific implementation mode
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
The embodiment of the application part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
The every other embodiment that member is obtained without making creative work should all belong to the model of the application protection
It encloses.
It should be noted that term " first " in the description and claims of this application and above-mentioned attached drawing, "
Two " etc. be for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that using in this way
Data can be interchanged in the appropriate case, so as to embodiments herein described herein.In addition, term " comprising " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or unit
Process, method, system, product or equipment those of are not necessarily limited to clearly to list step or unit, but may include without clear
It is listing to Chu or for these processes, method, product or equipment intrinsic other steps or unit.
For ease of description, below to the invention relates to part noun or term illustrate：
Reverse sawtooth processing：I.e. antialiasing handle, be in digital signal processing, for eliminate by high-resolution signal with
It is square to be normally used for digital photography, computer graphics and digital audio etc. for the technology of caused aliasing when low resolution indicates
Face.
With reference to preferred implementation steps, the present invention will be described, and Fig. 1 is meteorological ground according to the ... of the embodiment of the present invention
The flow chart of the acquisition methods of figure, as shown in Figure 1, this method comprises the following steps：
Step S101 acquires weather information set, wherein and the weather information set includes a plurality of types of data,
In, a plurality of types of data include at least：Satellite data, radar network composite data and meteorological prediction data；
For example, satellite data is the collected cloud top live data of satellite, radar data is the collected vapor of radar
Live data, weather prognosis data are numerical model data, as calculate temperature, precipitation, humidity and wind-force etc. that synthesis obtains
Meteorological data, table 1 be satellite data, radar data and meteorological prediction data attribute, need quickly to show this on webgis
The meteorological data of a little high-precision griddings.
Table 1
| Serial number | Data name | Spatial resolution | Update the frequency | Data dimension size |
| 1 | Satellite data | 2.5km x 2.5km | 15 minutes | (2100,2100) |
| 2 | Radar network composite data | 1km x 1km | 6 minutes | (800,800,20) |
| 3 | Weather prognosis data | 1km x 1km | 10 minutes | (12,500,500,34) |
Therefore, how the gridded data of so dense (room and time) is shown on webgis, and requires
Having can be switched fast and the functions such as electrodeless scaling
Each type of data in the weather information set are converted to corresponding gas by step S102 according to color scale
As image, meteorological image set is obtained, wherein the meteorological image set includes a variety of meteorological images；
Step S103 shows the meteorological image set using preset algorithm, obtains dynamic weather-map.
Optionally, it in the acquisition methods of weather-map provided by the embodiments of the present application, is shown using preset algorithm meteorological
Image collection, obtaining dynamic weather-map includes：Full figure is carried out to the meteorological image in meteorological image set to show, obtains dynamic
Weather-map.
For example, meteorological image is integrated into shadow casting technique of the server end front end according to webgis by the application, high definition is shown
Full figure cuts diagram technology different from tile figure used by general webgis, produces data in batches one according to zoom level from the background
The small picture of the 256*256 pixels of series, is shown using full figure and cuts diagram technology compared to tile, efficiency is greatly improved, Er Qietu
Piece can be switched fast broadcasting when front end is shown, there is no the asynchronous problems brought when tile figure switches, and make user's body
It tests more good.
Although showing that a full figure has the above clear superiority on webgis, common picture is in scaling process
In there are pixel loss, especially during picture amplification, it may appear that apparent " sawtooth " phenomenon.
Optionally, in the acquisition methods of weather-map provided by the embodiments of the present application, to the gas in meteorological image set
Show that after obtaining dynamic weather-map, this method further includes as image carries out full figure：Reverse sawtooth is carried out to dynamic weather-map
Processing.
For example, in order to solve " sawtooth " phenomenon, on leaflet this webgis frame, Function Extension is carried out, is increased
One canvas layers, canvas is the figure display technique based on html5, itself has the function of image " reverse sawtooth ", this Shen
Please in canvas and leaflet are combined, realize the electrodeless zoom function of meteorological full figure.
In order to preferably realize the convergence analysis between location information and weather information, it is also necessary to abundanter interaction and
Analysis ability, the interaction analysis between data be it is one long take, the work of high cpu, generally all give server background execution, so
After return again to user front end.It is that this hind computation is generated to calculate money for the large capacity meteorological data in the application
Source consumes and time loss is very big, necessarily will produce the delay of operation, therefore can bring bad user's operation experience.
Optionally, in the acquisition methods of weather-map provided by the embodiments of the present application, institute is being shown using preset algorithm
Meteorological image set is stated, after obtaining dynamic weather-map, this method further includes：Target position is determined on dynamic weather-map
It sets；Target zone is determined according to target location；The corresponding color in target location is obtained on dynamic weather-map；According to target position
Set the meteorological data in corresponding color acquisition target zone.
For example, fine grid equipment information can be superimposed with dynamic weather-map, user carry out meteorological data and
Specific requirements when grid equipment interaction analysis need to know the meteorological letter in some grid equipment and its surrounding particular range
Breath locks the position coordinates of grid equipment, a point on corresponding dynamic weather-map, which corresponds to specific color value,
Since color value and meteorological data raw information have formed the relationship mapped one by one by color scale, we quickly obtain spy
Positioning is set, you can the point and surrounding weather information are obtained, it can interaction and analytic function of the meteorological data with other data.
The acquisition methods of weather-map provided by the embodiments of the present application, by acquiring weather information set, wherein the gas
Image information set includes a plurality of types of data, wherein a plurality of types of data include at least：Satellite data, radar group
Network data and meteorological prediction data；Each type of data in the weather information set are converted into correspondence according to color scale
Meteorological image, obtain meteorological image set, wherein the meteorological image set includes a variety of meteorological images；Using default
Algorithm shows the meteorological image set, obtains dynamic weather-map, solves that be difficult in the related technology will be collected a variety of
Meteorological data is converted into the problem of high-resolution dynamic weather-map.And then reaches and turned collected a variety of meteorological datas
Turn to the effect of high-resolution dynamic weather-map.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
The embodiment of the present application also provides a kind of acquisition device of weather-map, it should be noted that the embodiment of the present application
The acquisition device of weather-map can be used for executing the acquisition methods for weather-map that are provided of the embodiment of the present application.With
Under the acquisition device of weather-map provided by the embodiments of the present application is introduced.
Fig. 2 is the schematic diagram according to the acquisition device of the weather-map of the embodiment of the present application.As shown in Fig. 2, the device packet
It includes：
Collecting unit 10, for acquiring weather information set, wherein weather information set includes a plurality of types of data,
Wherein, a plurality of types of data include at least：Satellite data, radar network composite data and meteorological prediction data；
Each type of data in weather information set are converted to corresponding meteorology by converting unit 20 according to color scale
Image obtains meteorological image set, wherein meteorological image set includes a variety of meteorological images；
Display unit 30 obtains dynamic weather-map for showing meteorological image set using preset algorithm.
The acquisition device of weather-map provided by the embodiments of the present application acquires weather information set by collecting unit 10,
Each type of data in weather information set are converted to corresponding meteorological image by converting unit 20 according to color scale, are obtained
Meteorological image set, display unit 30 show meteorological image set using preset algorithm, obtain dynamic weather-map, solve phase
The problem of being difficult to convert collected meteorological data to high-resolution dynamic weather-map in the technology of pass, and then having reached will
Collected a variety of meteorological datas are converted into the effect of high-resolution dynamic weather-map.
Optionally, in the acquisition device of weather-map provided by the embodiments of the present application, display unit includes that full figure is shown
Module shows for carrying out full figure to the meteorological image in meteorological image set, obtains dynamic weather-map.
Optionally, in the acquisition device of weather-map provided by the embodiments of the present application, display unit further includes reverse sawtooth
Module, for carrying out reverse sawtooth processing to dynamic weather-map.
Optionally, in the acquisition device of weather-map provided by the embodiments of the present application, which further includes：Goal-setting
Module, for showing the meteorological image set using preset algorithm, after obtaining dynamic weather-map, in the dynamic gas
As determining target location on map；Range setting module, for determining target zone according to the target location；Matching module,
For obtaining the corresponding color in the target location on the dynamic weather-map；Acquisition module, according to the target location
Corresponding color obtains the meteorological data in the target zone.
An embodiment of the present invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The acquisition methods of the existing weather-map.
An embodiment of the present invention provides a kind of processor, the processor is for running program, wherein program executes when running
The acquisition methods of the weather-map.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, the application can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Including so that process, method, commodity or equipment including a series of elements include not only those elements, but also wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It these are only embodiments herein, be not intended to limit this application.To those skilled in the art,
The application can have various modifications and variations.It is all within spirit herein and principle made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of claims hereof.
Claims (10)
1. a kind of acquisition methods of weather-map, which is characterized in that include the following steps：
Acquire weather information set, wherein the weather information set includes a plurality of types of data, wherein the multiple types
The data of type include at least：Satellite data, radar network composite data and meteorological prediction data；
Each type of data in the weather information set are converted into corresponding meteorological image according to color scale, obtain gas
As image collection, wherein the meteorological image set includes a variety of meteorological images；
The meteorological image set is shown using preset algorithm, obtains dynamic weather-map.
2. according to the method described in claim 1, it is characterized in that, show the meteorological image set using preset algorithm, obtain
Include to dynamic weather-map：Full figure is carried out to the meteorological image in the meteorological image set to show, obtains the dynamic gas
As map.
3. according to the method described in claim 2, it is characterized in that, being carried out to the meteorological image in the meteorological image set complete
Figure shows that after obtaining the dynamic weather-map, the method further includes：The dynamic weather-map is carried out at reverse sawtooth
Reason.
4. according to the method described in claim 1, it is characterized in that, showing the meteorological image set using preset algorithm,
After obtaining dynamic weather-map, the method further includes：
Target location is determined on the dynamic weather-map；
Target zone is determined according to the target location；
The corresponding color in the target location is obtained on the dynamic weather-map；
The meteorological data in the target zone is obtained according to the corresponding color in the target location.
5. a kind of acquisition device of weather-map, which is characterized in that including：
Collecting unit, for acquiring weather information set, wherein the weather information set includes a plurality of types of data,
In, a plurality of types of data include at least：Satellite data, radar network composite data and meteorological prediction data；
Each type of data in the weather information set are converted to corresponding meteorological chart by converting unit according to color scale
Picture obtains meteorological image set, wherein the meteorological image set includes a variety of meteorological images；
Display unit obtains dynamic weather-map for showing the meteorological image set using preset algorithm.
6. device according to claim 5, which is characterized in that the display unit includes full figure display module, for pair
Meteorological image in the meteorological image set carries out full figure and shows, obtains the dynamic weather-map.
7. device according to claim 6, which is characterized in that the display unit further includes reverse sawtooth module, for pair
The dynamic weather-map carries out reverse sawtooth processing.
8. device according to claim 5, which is characterized in that described device further includes：
Goal setting module, for showing the meteorological image set using preset algorithm, after obtaining dynamic weather-map,
Target location is determined on the dynamic weather-map；
Range setting module, for determining target zone according to the target location；
Matching module, for obtaining the corresponding color in the target location on the dynamic weather-map；
Acquisition module, for obtaining the meteorological data in the target zone according to the corresponding color in the target location.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution
Profit requires the acquisition methods of the weather-map described in any one of 1 to 4.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Profit requires the acquisition methods of the weather-map described in any one of 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711250200.2A CN108375806A (en) | 2017-12-01 | 2017-12-01 | The acquisition methods and device of weather-map |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711250200.2A CN108375806A (en) | 2017-12-01 | 2017-12-01 | The acquisition methods and device of weather-map |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108375806A true CN108375806A (en) | 2018-08-07 |
Family
ID=63016450
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711250200.2A Pending CN108375806A (en) | 2017-12-01 | 2017-12-01 | The acquisition methods and device of weather-map |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108375806A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583467A (en) * | 2018-10-11 | 2019-04-05 | 中国电力科学研究院有限公司 | A kind of electric power meteorological data fusion method and system |
| CN110865750A (en) * | 2019-10-09 | 2020-03-06 | 成都中科合迅科技有限公司 | Stepless zooming display method of tile map |
| CN111190990A (en) * | 2020-01-02 | 2020-05-22 | 中电投电力工程有限公司 | Automatic GIS drawing method suitable for weather forecasting system |
| CN111382716A (en) * | 2020-03-17 | 2020-07-07 | 上海眼控科技股份有限公司 | Weather prediction method and device of numerical mode, computer equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521716A (en) * | 2011-12-31 | 2012-06-27 | 成都信息工程学院 | Integrative specialized weather service integrated system |
| CN107133272A (en) * | 2017-04-07 | 2017-09-05 | 南京南瑞集团公司 | A kind of Web ends magnanimity power network resources GIS data dynamic dispatching and rendering intent |
-
2017
- 2017-12-01 CN CN201711250200.2A patent/CN108375806A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521716A (en) * | 2011-12-31 | 2012-06-27 | 成都信息工程学院 | Integrative specialized weather service integrated system |
| CN107133272A (en) * | 2017-04-07 | 2017-09-05 | 南京南瑞集团公司 | A kind of Web ends magnanimity power network resources GIS data dynamic dispatching and rendering intent |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583467A (en) * | 2018-10-11 | 2019-04-05 | 中国电力科学研究院有限公司 | A kind of electric power meteorological data fusion method and system |
| CN110865750A (en) * | 2019-10-09 | 2020-03-06 | 成都中科合迅科技有限公司 | Stepless zooming display method of tile map |
| CN110865750B (en) * | 2019-10-09 | 2021-04-30 | 成都中科合迅科技有限公司 | Stepless zooming display method of tile map |
| CN111190990A (en) * | 2020-01-02 | 2020-05-22 | 中电投电力工程有限公司 | Automatic GIS drawing method suitable for weather forecasting system |
| CN111382716A (en) * | 2020-03-17 | 2020-07-07 | 上海眼控科技股份有限公司 | Weather prediction method and device of numerical mode, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yu et al. | View-based greenery: A three-dimensional assessment of city buildings’ green visibility using Floor Green View Index | |
| Lan et al. | Measuring urban compactness based on functional characterization and human activity intensity by integrating multiple geospatial data sources | |
| CN108375806A (en) | The acquisition methods and device of weather-map | |
| CN110379010A (en) | Three-dimensional geographic information method for visualizing and system based on video fusion | |
| US11703352B2 (en) | Vector tile pyramiding | |
| CN101763657B (en) | Three-dimensional terrain display method for video production | |
| CN107133900B (en) | Urban land mixed utilization feature grid computing method and device | |
| Chao et al. | Parallel algorithm for viewshed analysis on a modern GPU | |
| CN106383828B (en) | A kind of drawing practice and electronic equipment | |
| CN110826454B (en) | Remote sensing image change detection method and device | |
| CN114049462B (en) | Three-dimensional model monomer method and device | |
| CN101256677B (en) | Automatic monitoring simulation and parallelization process method thereof | |
| CN114863418A (en) | Voltage-sharing field identification method and device, storage medium and terminal | |
| CN113505185A (en) | Three-dimensional scene rendering and displaying method for urban information model | |
| KR20180093727A (en) | Automatically conversion system of GIS data | |
| Jokar Arsanjani | Characterizing and monitoring global landscapes using GlobeLand30 datasets: the first decade of the twenty-first century | |
| CN110389981B (en) | Data display method, device, electronic equipment and computer readable storage medium | |
| Lu et al. | Web‐based real‐time visualization of large‐scale weather radar data using 3D tiles | |
| KR20110128511A (en) | 3d realtime airwatch system using web | |
| She et al. | A building label placement method for 3D visualizations based on candidate label evaluation and selection | |
| CN118520065B (en) | GIS map-based data processing method and device, electronic equipment and storage medium | |
| Buschmann et al. | GPU-based, interactive exploration of large spatiotemporal climate networks | |
| Wu et al. | Research and development of geographic indication product visualization platform based on WebGIS | |
| CN106033451B (en) | A kind of instant rendering method of the density map of cellular traffic and device | |
| CN118428559B (en) | High-performance numerical weather forecast analysis method |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180807 |