CN102904944A - Remote cloud processing system and method for remote sensing data - Google Patents
Remote cloud processing system and method for remote sensing data Download PDFInfo
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Abstract
The invention relates to the technique field related to remote sensing data processing and specifically relates to a remote cloud processing system and method for remote sensing data. The system comprises a remote sensing resource showing module, a remote sensing cloud storage module and a remote sensing cloud operation module, wherein the remote sensing resource showing module is used for displaying a plurality of remote sensing data snapshots and an application software snapshot; the remote sensing data snapshots are used for marking the remote sensing data stored in the remote sensing cloud storage module; the application software snapshot is used for marking the application software stored in the remote sensing cloud operation module; the remote sensing cloud storage module is used for storing the remote sensing data; and the remote sensing cloud operation module is used for building a virtual machine. According to the technology of the invention, the remote sensing data can be used as required without a downloading manner, a virtual system required for remote sensing application software can be rapidly provided, and the remote sensing application software can be rapidly deployed, so that a user can use various terminals (like computers, laptops, tablet personal computers, or mobile phones) to professionally process the remote sensing data needing a large amount of computing resources through the network at any time and any place.
Description
Technical field
The present invention relates to the Remote Sensing Data Processing correlative technology field, particularly the long-range cloud treatment system of a kind of remotely-sensed data and method.
Background technology
China has launched many remote sensing satellites, comprise that meteorology, land, ocean, environment etc. become satellite system series, professional and combination constellation, make up simultaneously various air photo techniques, form multiresolution, polymorphic type, the magnanimity multi-source Remote Sensing Data data of high coverage is for remote sensing popularization and application and industrialization service provide the data basis.Remote sensing has the characteristics such as the renewal of collection is fast, multiresolution, abundant information, data type is many, monitoring capability is strong, has widely commercial application prospect.
But because remotely-sensed data has characteristics such as gather upgrading fast, wide coverage, data source variation, data type are various, image resolution multiscalization, cause the present situations such as single remote sensing image data file is large, mass remote sensing data file.The remotely-sensed data of magnanimity is used for storage, management, retrieval and transmission and is posed a big pressure, and makes the utilance of remotely-sensed data low.Simultaneously, remotely-sensed data is obtained difficulty, technical difficulty is large, and is with high costs, causes the purchase data cost high, greatly restricted scientific research, the application and universal of remote sensing technology.In addition on the one hand, because the remotely-sensed data amount is huge, amount of calculation is large, and the work station performance requirement that is used for Remote Sensing Data Processing is high, causes the having high input of scientific research and application, construction period long.Remote sensing application software development difficulty is high, strongly professional, causes remote sensing application software purchase cost high thereby cost is expensive, installs and disposes difficulty.Above various reasons has restricted the popularization and application of remote sensing information and the development of industry.
Summary of the invention
The invention provides the long-range cloud treatment system of a kind of remotely-sensed data and method, high for the work station performance requirement of Remote Sensing Data Processing to solve prior art, remote sensing application software development difficulty is high, strongly professional, cost is expensive, the technical problem of disposing difficulty is installed.
The technical scheme that adopts is as follows:
The long-range cloud treatment system of a kind of remotely-sensed data, described system comprises:
The remote sensing resources display module, be used for showing a plurality of remotely-sensed data snapshots and application software snapshot, described remotely-sensed data snapshot is used for the remotely-sensed data that sign leaves remote sensing cloud memory module in, and described application software snapshot is used for the application software that sign leaves remote sensing cloud operational module in;
Remote sensing cloud memory module is used for depositing remotely-sensed data;
Remote sensing cloud operational module is used for setting up virtual machine.
Further:
Described remote sensing resources display module comprises:
Remotely-sensed data snapshot display unit after being used for receiving user's logon information, shows a plurality of remotely-sensed data snapshots;
Remotely-sensed data snapshot transmitting element is used for receiving user-selected remotely-sensed data snapshot, and sends to remote sensing cloud memory module;
Application software snapshot display unit is used for showing a plurality of application software snapshots;
Application software snapshot transmitting element is used for receiving user-selected application software snapshot, and sends to remote sensing cloud operational module;
Described remote sensing cloud operational module provides safety, efficient distributed memory system store and management mass remote sensing data, comprising:
The application software extraction unit is used for extracting application software that user-selected application software snapshot identifies as user application software;
Virtual machine is set up the unit, is used for setting up the virtual machine that comprises user's remotely-sensed data and user application software;
The virtual machine operations unit is used for receiving the user to the remote operation of virtual machine.
Further, described virtual machine is set up the unit and is comprised:
Virtual machine image is obtained subelement, is used for obtaining virtual machine image file;
Application software is injected subelement, is used for injecting application software to the virtual machine image file of obtaining;
The virtual machine activation subelement is used for starting the virtual machine image file of injecting application software;
Virtual machine carry subelement is for user's remotely-sensed data of carry remote sensing cloud memory module.
Further, described remote sensing resources display module adopts visual mode to show the remotely-sensed data snapshot.
Further, the visual mode of described employing shows that the remotely-sensed data snapshot is:
Employing meets Map Service of Network, web feature service and the web coverage service of open geographic information system association criterion, makes remotely-sensed data snapshot real-time exhibition.
Further, described remote sensing cloud memory module adopts distributed file system storage remotely-sensed data.
Further, described remote sensing cloud memory module comprises:
The pivot data server is used for managing file system;
Data storage server is used for the storage remotely-sensed data, during the storage remotely-sensed data, at first remotely-sensed data is divided into piece, and then these pieces are stored as copy at data storage server;
The metadata log server is for the change journal file of backup pivot data server;
Client computer is used for articulating the file system read-write file.
The long-range cloud processing method of a kind of remotely-sensed data adopts the long-range cloud treatment system of above-mentioned remotely-sensed data to carry out Remote Sensing Data Processing, comprising:
The remote sensing resources display module receives user's logon information, and the remote sensing resources display module shows a plurality of remotely-sensed data snapshots, and described remotely-sensed data snapshot is used for the remotely-sensed data that sign leaves remote sensing cloud memory module in;
The remote sensing resources display module receives user-selected remotely-sensed data snapshot, and sends to remote sensing cloud memory module, and the remotely-sensed data that the user-selected remotely-sensed data snapshot of remote sensing cloud memory module extraction identifies is as user's remotely-sensed data;
Remote sensing resources display module display application software snapshot, described application software snapshot is used for the application software that sign leaves remote sensing cloud operational module in;
The remote sensing resources display module receives user-selected application software snapshot, and sends to remote sensing cloud operational module, and the application software that the user-selected application software snapshot of remote sensing cloud operational module extraction identifies is as user application software;
Remote sensing cloud operational module is set up the virtual machine that comprises user's remotely-sensed data and user application software, and receives the user to the remote operation of virtual machine.
Further, described remote sensing cloud operational module is set up the virtual machine that comprises user's remotely-sensed data and user application software, specifically comprises:
Obtain virtual machine image file;
Inject application software to the virtual machine image file of obtaining;
Start the virtual machine image file of injecting application software;
User's remotely-sensed data of carry remote sensing cloud memory module.
The invention provides remotely-sensed data and application software integrated virtual machine is disposed and service technology as required, utilize cloud computing technology based on the computation model in resource-sharing pond, the resource consolidations such as storage, calculating, network and software to hardware consist of resource pool, by Intel Virtualization Technology resource is carried out United Dispatching, by distributed memory system remotely-sensed data is carried out unified management and carrying out safety backup simultaneously.Remotely-sensed data, application software and computational resource are packaged into the gageable service of similar communal facility (such as running water, electric power etc.), (On-Demand) offers user's use as required.This invention technology can realize that the mode that need not to download uses remotely-sensed data, Quick for the needed virtual system of remote sensing application software, rapid deployment remote sensing application software as required, can allow the user use various terminals (computer, notebook, flat board or mobile phone etc.) to need the remotely-sensed data professional treatment of a large amount of computational resources by network whenever and wherever possible.
Description of drawings
Fig. 1 is system construction drawing;
Fig. 2 is operational flowchart.
Embodiment
The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.
Be illustrated in figure 1 as a kind of remotely-sensed data cloud of embodiment of the invention treatment system, comprise:
Remote sensing resources display module 110, be used for showing a plurality of remotely-sensed data snapshots and application software snapshot, described remotely-sensed data snapshot is used for the remotely-sensed data that sign leaves remote sensing cloud memory module in, and described application software snapshot is used for the application software that sign leaves remote sensing cloud operational module in;
Remote sensing cloud memory module 120 is used for depositing remotely-sensed data;
Remote sensing cloud operational module 130 is used for setting up virtual machine.
Remote sensing resources display module 110 provides that remotely-sensed data magnanimity fast, multiresolution, multi-source, multidate is browsed, retrieval service, and a visual data retrieval service platform is provided.The remotely-sensed data display module is based on open GIS server GeoServer, provide and meet OGC(Open GIS Consortium, association of open geographic information system) WMS of standard service (Web Map Services), WFS service (Web Feature Service) and WCS service (Web covers service), call different Web Map Services and figure layer by presentation layer, make the remote sensing image data real-time exhibition in user's form.Use GeoWebCache that remote sensing image data is carried out tile pyramid data buffer storage, improve the browse efficiency of GeoServer issue remote sensing image data, the reduction user asks the stand-by period, improves the user and experiences.Presentation layer realizes showing remote sensing image data by the OpenLayers framework in browser, realize dragging, amplifying the remote sensing image data texts of browsing.
Wherein, remote sensing resources display module 110 comprises:
Remotely-sensed data snapshot display unit 111 after being used for receiving user's logon information, shows a plurality of remotely-sensed data snapshots;
Remotely-sensed data snapshot transmitting element 112 is used for receiving user-selected remotely-sensed data snapshot, and sends to remote sensing cloud memory module;
Application software snapshot display unit 113 is used for showing a plurality of application software snapshots;
Application software snapshot transmitting element 114 is used for receiving user-selected application software snapshot, and sends to remote sensing cloud operational module.
Remote sensing cloud memory module 120 provides safety, efficient distributed memory system store and management mass remote sensing data.Remote sensing cloud memory module 120 adopts the distributed storage architecture technology, MooseFS distributed storage architecture technology specifically, support 4 to 500 station server storage clusters, by pivot data server 121(master), metadata log server 122(metalogger), data storage server 123(chunkserver), client computer 124 forms.Pivot data server 121 is in charge of managing file system in whole system; Data storage server 123 storage data during storage file, at first are divided into piece to file, and then these pieces are stored as copy at data storage server 123; Metadata log server 122 is responsible for the change journal file of backup pivot data server 121, carries out work so that take over it when pivot data server 121 goes wrong; Client computer 124 articulates MFS file system read-write file.Remote sensing image data and tile pyramid data are stored in the MoosFS system, the large file of the remote sensing image of magnanimity is divided into the file fritter, be stored in respectively among the different chunkserver, carry out the concurrent reading and concurrent writing operation, take full advantage of R/W speed of hard disc and the network bandwidth of node, greatly improved the storage efficiency of remote sensing image data, simultaneously by backing up a plurality of copies at different nodes, the fail safe of the data of solution.Be combined with remote sensing cloud operational module, the virtual machine of remote sensing cloud operational module directly operates the remote sensing image data in the MFS system by carry MFS system, thereby realizes data and the integrated service of software application.
Remote sensing cloud operational module 130 adopts OpenStack cloud operating system management platform, its composition comprises the storage management system OpenStackImageService (Glance) of cloud organizational controls device OpenStackCompute (Nova), extendible object storage system OpenStackObjectStorage (Swift) and virtual machine image, use Intel Virtualization Technology to redistribute and manage by physical resource is virtual to CPU, internal memory, hard disk and network etc., support the virtual machines such as KVM, XEN.Remote sensing cloud operational module be responsible for virtual machine generation, start, close, suspend, for the user provides as required virtual machine service.Remote sensing cloud operational module provides the remote access mode accesses virtual machines such as VNC, RDP, SPICE, also comprises by remote desktop client mode or browser mode accesses virtual machine.By mirror image being injected the mode of file, can realize the effect of automatic software installation in virtual machine image, after virtual machine and application software are selected in user's configuration as required, remote sensing cloud operational module injects software document in mirror image, start virtual machine, the user can use this software by the remote access mode accesses virtual machine that provides.By the data of virtual machine carry remote sensing cloud storage system, can realize the integrated service of remotely-sensed data and application software.
Remote sensing cloud operational module 130 comprises:
Application software extraction unit 131 is used for extracting application software that user-selected application software snapshot identifies as user application software;
Virtual machine is set up unit 132, is used for setting up the virtual machine that comprises user's remotely-sensed data and user application software;
Virtual machine operations unit 133 is used for receiving the user to the remote operation of virtual machine.
Wherein, virtual machine is set up unit 132 and is comprised:
Virtual machine image is obtained subelement, is used for obtaining virtual machine image file;
Application software is injected subelement, is used for injecting application software to the virtual machine image file of obtaining;
The virtual machine activation subelement is used for starting the virtual machine image file of injecting application software;
Virtual machine carry subelement is for user's remotely-sensed data of carry remote sensing cloud memory module.
Be illustrated in figure 2 as the example of the embodiment of the invention.
Logging in system by user;
The remotely-sensed data display module receives user's logon information, and the user browses the remotely-sensed data snapshot by the map view mode, selects corresponding product and search condition, the retrieval remotely-sensed data; The remotely-sensed data display module is illustrated in corresponding remotely-sensed data snapshot on user's form fast by visual mode (WMS service), the correlation attribute information of the remotely-sensed data snapshot that retrieves is provided simultaneously, and described remotely-sensed data snapshot is used for the remotely-sensed data that sign leaves remote sensing cloud memory module in;
User selection needs remotely-sensed data snapshot to be processed; The remotely-sensed data display module receives user-selected remotely-sensed data snapshot, and sends to remote sensing cloud memory module, and the remotely-sensed data that the user-selected remotely-sensed data snapshot of remote sensing cloud memory module extraction identifies is as user's remotely-sensed data;
Remotely-sensed data display module display application software snapshot, described application software snapshot is used for the application software that sign leaves remote sensing cloud operational module in;
User selection needs the software of deal with data;
The remotely-sensed data display module receives user-selected application software snapshot, and sends to remote sensing cloud operational module, and the application software that the user-selected application software snapshot of remote sensing cloud operational module extraction identifies is as user application software;
Remote sensing cloud operational module is set up the virtual machine that comprises user's remotely-sensed data and user application software, and receives the user to the remote operation of virtual machine;
The user carries out data by terminal (computer or handheld device) Telnet virtual machine and processes.
Claims (9)
1. the long-range cloud treatment system of remotely-sensed data is characterized in that, described system comprises:
The remote sensing resources display module, be used for showing a plurality of remotely-sensed data snapshots and application software snapshot, described remotely-sensed data snapshot is used for the remotely-sensed data that sign leaves remote sensing cloud memory module in, and described application software snapshot is used for the application software that sign leaves remote sensing cloud operational module in;
Remote sensing cloud memory module is used for depositing remotely-sensed data;
Remote sensing cloud operational module is used for setting up virtual machine.
2. the long-range cloud treatment system of a kind of remotely-sensed data according to claim 1 is characterized in that:
Described remote sensing resources display module comprises:
Remotely-sensed data snapshot display unit after being used for receiving user's logon information, shows a plurality of remotely-sensed data snapshots;
Remotely-sensed data snapshot transmitting element is used for receiving user-selected remotely-sensed data snapshot, and sends to remote sensing cloud memory module;
Application software snapshot display unit is used for showing a plurality of application software snapshots;
Application software snapshot transmitting element is used for receiving user-selected application software snapshot, and sends to remote sensing cloud operational module;
Described remote sensing cloud memory module comprises:
The pivot data server is used for managing file system;
Data storage server is used for the storage remotely-sensed data, during the storage remotely-sensed data, at first remotely-sensed data is divided into piece, and then these pieces are stored as copy at data storage server;
The metadata log server is for the change journal file of backup pivot data server;
Client computer is used for articulating the file system read-write file;
Described remote sensing cloud operational module comprises:
The application software extraction unit is used for extracting application software that user-selected application software snapshot identifies as user application software;
Virtual machine is set up the unit, is used for setting up the virtual machine that comprises user's remotely-sensed data and user application software;
The virtual machine operations unit is used for receiving the user to the remote operation of virtual machine.
3. the long-range cloud treatment system of a kind of remotely-sensed data according to claim 2 is characterized in that, described virtual machine is set up the unit and comprised:
Virtual machine image is obtained subelement, is used for obtaining virtual machine image file;
Application software is injected subelement, is used for injecting application software to the virtual machine image file of obtaining;
The virtual machine activation subelement is used for starting the virtual machine image file of injecting application software;
Virtual machine carry subelement is for user's remotely-sensed data of carry remote sensing cloud memory module.
4. the long-range cloud treatment system of a kind of remotely-sensed data according to claim 1 is characterized in that, described remote sensing resources display module adopts visual mode to show the remotely-sensed data snapshot.
5. the long-range cloud treatment system of a kind of remotely-sensed data according to claim 4 is characterized in that, the visual mode of described employing shows that the remotely-sensed data snapshot is:
Employing meets Map Service of Network, web feature service and the web coverage service of open geographic information system association criterion, makes remotely-sensed data snapshot real-time exhibition.
6. the long-range cloud treatment system of a kind of remotely-sensed data according to claim 1 is characterized in that, described remote sensing cloud memory module adopts distributed file system storage remotely-sensed data.
7. the long-range cloud treatment system of a kind of remotely-sensed data according to claim 1 is characterized in that, described remote sensing cloud memory module comprises:
The pivot data server is used for managing file system;
Data storage server is used for the storage remotely-sensed data, during the storage remotely-sensed data, at first remotely-sensed data is divided into piece, and then these pieces are stored as copy at data storage server;
The metadata log server is for the change journal file of backup pivot data server;
Client computer is used for articulating the file system read-write file.
8. the long-range cloud processing method of remotely-sensed data adopts the long-range cloud treatment system of remotely-sensed data claimed in claim 1 to carry out Remote Sensing Data Processing, it is characterized in that, comprising:
The remote sensing resources display module receives user's logon information, and remote sensing is counted the resource display module and shown a plurality of remotely-sensed data snapshots, and described remotely-sensed data snapshot is used for the remotely-sensed data that sign leaves remote sensing cloud memory module in;
The remote sensing resources display module receives user-selected remotely-sensed data snapshot, and sends to remote sensing cloud memory module, and the remotely-sensed data that the user-selected remotely-sensed data snapshot of remote sensing cloud memory module extraction identifies is as user's remotely-sensed data;
Remote sensing resources display module display application software snapshot, described application software snapshot is used for the application software that sign leaves remote sensing cloud operational module in;
The remote sensing resources display module receives user-selected application software snapshot, and sends to remote sensing cloud operational module, and the application software that the user-selected application software snapshot of remote sensing cloud operational module extraction identifies is as user application software;
Remote sensing cloud operational module is set up the virtual machine that comprises user's remotely-sensed data and user application software, and receives the user to the remote operation of virtual machine.
9. the long-range cloud processing method of a kind of remotely-sensed data according to claim 8 is characterized in that, described remote sensing cloud operational module is set up the virtual machine that comprises user's remotely-sensed data and user application software, specifically comprises:
Obtain virtual machine image file;
Inject application software to the virtual machine image file of obtaining;
Start the virtual machine image file of injecting application software;
User's remotely-sensed data of carry remote sensing cloud memory module.
Priority Applications (2)
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| CN201210372945.7A CN102904944B (en) | 2012-09-29 | 2012-09-29 | A kind of remotely-sensed data long-distance cloud processing system and method |
| PCT/CN2012/087948 WO2014048044A1 (en) | 2012-09-29 | 2012-12-29 | Remote cloud processing system and method for remote sensing data |
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| CN201210372945.7A CN102904944B (en) | 2012-09-29 | 2012-09-29 | A kind of remotely-sensed data long-distance cloud processing system and method |
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| CN102904944B CN102904944B (en) | 2016-09-07 |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103108045A (en) * | 2013-02-06 | 2013-05-15 | 浙江大学 | Web map service implementation method based on cloud framework |
| CN103281351A (en) * | 2013-04-19 | 2013-09-04 | 武汉方寸科技有限公司 | Cloud service platform for high-efficiency remote sensing data processing and analysis |
| CN103281376A (en) * | 2013-05-31 | 2013-09-04 | 武汉大学 | Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment |
| CN103491185A (en) * | 2013-09-25 | 2014-01-01 | 浙江大学 | Remote sensing data cloud storage method based on image block organization |
| CN103729223A (en) * | 2013-12-31 | 2014-04-16 | 曙光云计算技术有限公司 | PAAS platform quick deployment and application method and system |
| CN104702624A (en) * | 2015-03-27 | 2015-06-10 | 深圳市研唐科技有限公司 | Method and system for logging virtual machine based on Cloud Stack platform |
| CN105160022A (en) * | 2015-09-29 | 2015-12-16 | 北京全景天地科技有限公司 | Cloud image mining and interpretation system |
| CN105608191A (en) * | 2015-12-23 | 2016-05-25 | 云南电网有限责任公司 | EnersunWebCache based method for dynamically generating cached power grid map tiles |
| CN106453618A (en) * | 2016-11-15 | 2017-02-22 | 西安中科空间信息技术有限公司 | Remote sensing image processing service cloud platform system based on G-Cloud cloud computing |
| CN103747064B (en) * | 2013-12-26 | 2017-06-20 | 广东中科遥感技术有限公司 | Hanging method, client and system based on MooseFS Distribute file systems |
| CN107453803A (en) * | 2017-09-20 | 2017-12-08 | 中城泰信（苏州）科技发展股份有限公司 | A kind of abnormal check method of remote sensing cloud core |
| CN111737653A (en) * | 2020-08-05 | 2020-10-02 | 航天宏图信息技术股份有限公司 | Authorization control method and device based on remote sensing data processing capacity |
| CN112217556A (en) * | 2020-09-30 | 2021-01-12 | 广州中海电信有限公司 | System and method for processing various satellite data based on cloud computing platform |
| CN113596074A (en) * | 2021-06-08 | 2021-11-02 | 中绘云图信息科技有限公司 | Data processing method based on remote sensing cloud |
| CN115982777A (en) * | 2023-02-13 | 2023-04-18 | 西安大地测绘股份有限公司 | System and method for safely using geographic information data facing mobile terminal under private cloud |
| CN113596074B (en) * | 2021-06-08 | 2024-07-02 | 中绘云图信息科技有限公司 | Remote sensing cloud data processing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080126404A1 (en) * | 2006-08-28 | 2008-05-29 | David Slik | Scalable distributed object management in a distributed fixed content storage system |
| CN102404395A (en) * | 2011-11-10 | 2012-04-04 | 浪潮电子信息产业股份有限公司 | Method for switching multiple operation systems for mobile terminal based on cloud compute |
| CN202261557U (en) * | 2011-06-27 | 2012-05-30 | 谈天霆 | System of utilizing cloud storage via wireless WIFI technology by digital camera |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253939A (en) * | 2010-05-17 | 2011-11-23 | 无锡艾斯科软件有限公司 | Searching method and system based on cloud computing technology |
-
2012
- 2012-09-29 CN CN201210372945.7A patent/CN102904944B/en not_active Expired - Fee Related
- 2012-12-29 WO PCT/CN2012/087948 patent/WO2014048044A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080126404A1 (en) * | 2006-08-28 | 2008-05-29 | David Slik | Scalable distributed object management in a distributed fixed content storage system |
| CN202261557U (en) * | 2011-06-27 | 2012-05-30 | 谈天霆 | System of utilizing cloud storage via wireless WIFI technology by digital camera |
| CN102404395A (en) * | 2011-11-10 | 2012-04-04 | 浪潮电子信息产业股份有限公司 | Method for switching multiple operation systems for mobile terminal based on cloud compute |
Non-Patent Citations (1)
| Title |
|---|
| 刘异等: ""一种基于云计算模型的遥感处理服务模式研究与实现"", 《计算机应用研究》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103108045B (en) * | 2013-02-06 | 2015-10-21 | 浙江大学 | Based on the web map service implementation method of cloud framework |
| CN103108045A (en) * | 2013-02-06 | 2013-05-15 | 浙江大学 | Web map service implementation method based on cloud framework |
| CN103281351A (en) * | 2013-04-19 | 2013-09-04 | 武汉方寸科技有限公司 | Cloud service platform for high-efficiency remote sensing data processing and analysis |
| CN103281351B (en) * | 2013-04-19 | 2016-12-28 | 武汉方寸科技有限公司 | Cloud service platform for high-efficiency remote sensing data processing and analysis |
| CN103281376A (en) * | 2013-05-31 | 2013-09-04 | 武汉大学 | Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment |
| CN103281376B (en) * | 2013-05-31 | 2015-11-11 | 武汉大学 | The automatic buffer memory construction method of magnanimity sequential remote sensing image under a kind of cloud environment |
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| CN103491185B (en) * | 2013-09-25 | 2016-05-18 | 浙江大学 | A kind of remotely-sensed data cloud storage means based on image blocks tissue |
| CN103747064B (en) * | 2013-12-26 | 2017-06-20 | 广东中科遥感技术有限公司 | Hanging method, client and system based on MooseFS Distribute file systems |
| CN103729223A (en) * | 2013-12-31 | 2014-04-16 | 曙光云计算技术有限公司 | PAAS platform quick deployment and application method and system |
| CN104702624A (en) * | 2015-03-27 | 2015-06-10 | 深圳市研唐科技有限公司 | Method and system for logging virtual machine based on Cloud Stack platform |
| CN105160022A (en) * | 2015-09-29 | 2015-12-16 | 北京全景天地科技有限公司 | Cloud image mining and interpretation system |
| CN105608191A (en) * | 2015-12-23 | 2016-05-25 | 云南电网有限责任公司 | EnersunWebCache based method for dynamically generating cached power grid map tiles |
| CN106453618A (en) * | 2016-11-15 | 2017-02-22 | 西安中科空间信息技术有限公司 | Remote sensing image processing service cloud platform system based on G-Cloud cloud computing |
| CN107453803A (en) * | 2017-09-20 | 2017-12-08 | 中城泰信（苏州）科技发展股份有限公司 | A kind of abnormal check method of remote sensing cloud core |
| CN111737653A (en) * | 2020-08-05 | 2020-10-02 | 航天宏图信息技术股份有限公司 | Authorization control method and device based on remote sensing data processing capacity |
| CN112217556A (en) * | 2020-09-30 | 2021-01-12 | 广州中海电信有限公司 | System and method for processing various satellite data based on cloud computing platform |
| CN113596074A (en) * | 2021-06-08 | 2021-11-02 | 中绘云图信息科技有限公司 | Data processing method based on remote sensing cloud |
| CN113596074B (en) * | 2021-06-08 | 2024-07-02 | 中绘云图信息科技有限公司 | Remote sensing cloud data processing method |
| CN115982777A (en) * | 2023-02-13 | 2023-04-18 | 西安大地测绘股份有限公司 | System and method for safely using geographic information data facing mobile terminal under private cloud |
| CN115982777B (en) * | 2023-02-13 | 2023-10-03 | 西安大地测绘股份有限公司 | System and method for safely using geographic information data oriented to mobile terminal under private cloud |
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| Publication number | Publication date |
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| WO2014048044A1 (en) | 2014-04-03 |
| CN102904944B (en) | 2016-09-07 |
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