CN109189723A - A kind of distributed satellites data center multi- source Remote Sensing Data data processing method - Google Patents
A kind of distributed satellites data center multi- source Remote Sensing Data data processing method Download PDFInfo
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Abstract
The invention discloses a kind of distributed satellites data center multi- source Remote Sensing Data data processing methods, including step 1: the data processing of distributed satellites data center；Step 2: distributed satellites data center converges to primary data center data；Step 3: the data intake of primary data center；It further include the conversion of multi-source remote sensing metadata format；Beneficial effects of the present invention: a kind of distributed satellites data center multi- source Remote Sensing Data data processing method of the present invention passes through distributed satellites data center multi- source Remote Sensing Data data integrated technology, it can be effectively for the multi-source data in distributed satellites data center heterogeneous system, under the background of remote sensing big data, effectively integrate and manage.
Description
Technical field
The present invention relates to Remote Sensing Data Processing technical fields, it particularly relates to which a kind of distributed satellites data center is more
Source Remote Sensing Data Processing method.
Background technique
It is a series of that there is high spectral resolution, high spatial resolution, high time resolution with the development of earth observation technology
The sensor emission lift-off of rate, multipolarization, multi-angle causes remotely-sensed data and obtains and shortens with the update cycle, and timeliness is more next
It is stronger, so as to cause the explosive growth of the data scale of construction.Currently, China has possessed towards meteorology, land, ocean, resource, environment
Etc. multiple fields satellite data center, the remotely-sensed data quantity in stock at each satellite data center has reached PB grades: by the end of
On June 1st, 2017, Chinese wind and cloud satellite data center filing remotely-sensed data total amount have reached 4.277 PBs (wind and cloud satellite remote sensing
Data service net, 2017)；And China Resource Satellite Applied Center (China Center for Resources Satellite
Data and Application, CCRSDA) also file more than 16,000,000 scape remote sensing image data (Chinese Resources satellite applications
Center, 2017).
The remotely-sensed data of sustainable growth is voluntarily catalogued by different data centers, is stored due to the restriction of the factors such as system
With management；These data centers mainly include large-scale synthesis data center, university and the scientific research institution of satellite data production mechanism
Special data department, international data integrated organization and commercial undertaking etc..Each data center using respective data due to being stored
System can not be linked up so as to cause information each other, and data association degree is low, and application form is single, so that these are independent distant
Which kind of feel data system to be formed one by one " information island ", therefore using mode to these isolated or poor connectivity numbers
It is efficiently integrated according to system, and carry out more stellar associations to seem especially urgent with processing and integrated application.
Remotely-sensed data integrated technology can substantially be divided into data integration mode based on federative database, based on data warehouse
Data integration mode, the data integration mode three types based on middleware:
1, the data integration mode based on federative database
Federated database systems (Federated Database System, FDBS) are coordination with one another but mutually independent different
The set of structure member database, it by integrating in various degree, integrally provides isomery member database system the system
The software of control and cooperating is called federal data base management system (FDBMS).Data after integrated can be considered as a list
One data source is accessed and is managed, and data federation can provide the integrated of structuring and non-structured data simultaneously.
2, the data integration mode based on data warehouse
Data warehouse method is a kind of typical data copy method.This method copies to the data of each data source same
Place, i.e. data warehouse.User then directly accesses data warehouse as access general data library.Data warehouse technology is to have
Effect ground provides manipulation type data integration into unified environment the various technologies of decision type data access and the general name of module.
All done are provided to that user is allowed faster, more easily to inquire required information, provide decision support.Traditional data
Bottom storage in warehouse mostly uses row storage mode, and column memory technology is physically split the tuple in relationship by attribute, comes
From the data Coutinuous store of same attribute, this storage mode greatly improves the efficiency of analytic type inquiry.
3, the data integration mode based on middleware
Middleware integrated approach is data integrating method popular at present, and middleware mode passes through unified global data mould
Type is come the database, Legacy System, web resource etc. that access isomery.Middleware is located at heterogeneous data source system (data Layer) and answers
With between program (application layer), coordinate each data source systems downwards, provides uniform data upwards for the application of Access Integration data
The general-purpose interface of mode and data access；Their task is still completed in the application of each data source, and middleware system then mainly collects
In for heterogeneous data source provide a high-level retrieval service.
The multi- source Remote Sensing Data data that the present invention is directed under distributed satellites data center architecture integrates and problem of management, passes through
Further investigation to wherein key technology realizes multi- source Remote Sensing Data data integrated technology under distributed satellites data center architecture,
It cooperates with processing and production to provide data for multiple data centers multi- source Remote Sensing Data data to support.
Summary of the invention
For above-mentioned technical problem in the related technology, the present invention provides a kind of for distributed satellites data center architecture
Under multi- source Remote Sensing Data data integrated technology, by the way that the multi- source Remote Sensing Data data of distributed satellites data center is integrated, and base
In unified satellite metadata standard, by actively or passively mode, it is continuous or by certain time interval from data sub-central to
Main center junction metadata, the process of thumbnail.Wherein, unified satellite metadata standard refers to ISO 19115-2:2009
Geographic information metadata standard, the remote sensing metadata of each distributed satellites data center is to will carry out before main center junction
Reference format conversion, in order to unified metadata retrieval and management.
The technical scheme of the present invention is realized as follows:
A kind of distributed satellites data center multi- source Remote Sensing Data data processing method, comprising the following steps:
Step 1: distributed satellites data center data processing: among each satellite data center construction data integration processing
Part, in which: the middleware includes crawler component, data processing support system and network service；The data distribution of data center
Newly-increased satellite data is distributed to data working area by device；By main or passive starter at the crawler component sending of middleware
Reason request；Crawler component is in pretreatment checking process, first by the text in correlation data working area and open data server
Part catalogue simultaneously increases data file progress type checking and filtering newly to data working area by preset target file type collection, increases
Amount handles newly-increased data；In data processing, crawler component can call has determined in data processing support system
The customized process flow for different satellite data centre data formats of justice, calling Apache Tika or other are customized
Tool set extracts or production remote sensing image thumbnail, remote sensing metadata, and the thumbnail file extracted, metadata are stored in
In satellite data open center server；
Step 2: distributed satellites data center converges to primary data center data: " push-and-pull " component of primary data center is by the period
Property start background process, and according to the external network interface of each distributed satellites data center open server, call not
Same Data Transport Protocol (FTP, SFTP, HTTP, HTTPS etc.), which initiates long-range crawler task to each satellite data center, asks
It asks, while the long-range crawler task management and scheduling of multiple data centers is carried out by main center background management of process component；Wherein: long-range
Crawler task start rule is " prerequisite variable " queue sequence, and only one long-range crawler task is permitted within the same time
Perhaps it executes；
During primary data center is by pulling divided data centre data, " push-and-pull " component can be communicated with file manager,
The remote sensing image metadata and thumbnail data whether are filed by the more main center of MD5 file verification；Wherein: when in master
The remote sensing image thumbnail information is had existed in heart data filing container, then enters the comparison procedure of next image file；When
It is not present, then enters real data downloading and transmission process, meta data file and remote sensing image thumbnail are passed by " push-and-pull " component
It is defeated to be absorbed in working area to primary data center, wait main centre data to absorb；
Step 3: the data intake of primary data center: data capture process is carried out absorbing in advance first and be checked, passes through preset first number
According to file type collection newly data file is increased to data intake working area and carry out type checking and filtering, and according to customized first number
Multi-source heterogeneous meta data file type, which is adapted to, according to mapping ruler carries out data intake；In addition, to prevent the repetition for having filed data
Intake, crawler manager still by with file manager assembly communication, whether filed by MD5 file verification, if not
Filing then files remote sensing image thumbnail file into image archiving container, and establishes full-text index by SolrCloud cluster
And fragment stores, and realizes the distributed fragment index of metadata；
It further, further include the conversion of multi-source remote sensing metadata format: based on ISO 19115-2:2009 geography information-metadata
Standard establishes unified remote sensing metadata format, and the remote sensing metadata of each distributed satellites data center is before data integration
It requires to be converted to the remote sensing metadata format.
Further, that newly-increased satellite data is distributed to data is temporary for the data distributor of data center in the step 1
Deposit area；Processing request is issued to the crawler component of middleware by main or passive starter:
Wherein, the activly request refers to that the data strip mesh number transmitted when data distributor to data working area has reached at triggering
The request for handling newly-increased data is actively issued when the critical value of reason to crawler component；The passive request refers to be existed by timer
Regular time point passively trigger data treatment process.
Further, primary data center crawler module data intake mode includes periodically automatic carries out in the step 3
Data intake two ways is absorbed and carried out manually by data administrator to data.
Beneficial effects of the present invention:, can be effective by distributed satellites data center multi- source Remote Sensing Data data integrated technology
For the multi-source data in distributed satellites data center heterogeneous system, under the background of remote sensing big data, carry out effective
Integrated and management.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is distributed satellites data center multi- source Remote Sensing Data data integrated technology architecture diagram according to an embodiment of the present invention；
Fig. 2 is distributed satellites data center according to embodiments of the present invention flow chart of data processing figure；
Fig. 3, which is distributed satellites data center according to embodiments of the present invention, converges flow chart to primary data center data；
Fig. 4 is the data intake flow chart of primary data center according to embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
According to an embodiment of the invention, providing a kind of distributed satellites data center multi- source Remote Sensing Data data processing method.
As shown in Figs 1-4, a kind of distributed satellites data center multi- source Remote Sensing Data data processing according to an embodiment of the present invention
Method, comprising the following steps:
Step 1: distributed satellites data center data processing: among each satellite data center construction data integration processing
Part, middleware include crawler component, data processing support system and network service.The data distributor of data center can will increase newly
Satellite data be distributed to data working area.Processing request is issued to the crawler component of middleware by main or passive starter,
Activly request herein refers to that the data strip mesh number transmitted when data distributor to data working area has reached facing for triggering processing
The request for handling newly-increased data is actively issued when dividing value to crawler component；Passive request refers to through timer at a fixed time
Put passively trigger data treatment process.Crawler component correlation data working area and can be held first in pretreatment checking process
Put the file directory in data server and by preset target file type collection to data working area increase newly data file into
Row type checking and filtering, increment handle newly-increased data.In data processing, crawler component can call data
The defined customized process flow for different satellite data centre data formats in support system is handled, Apache is called
Tika or other customization tool collection extract or production remote sensing image thumbnail, remote sensing metadata, and the thumbnail that will be extracted
File, metadata are stored in satellite data open center server.
Step 2: distributed satellites data center converges to primary data center data: " push-and-pull " component of primary data center
(Push-Pull) it can be periodically turned on background process (Deamon Thread), and according to each distributed satellites data center
The external network interface of open server calls different Data Transport Protocol (FTP, SFTP, HTTP, HTTPS etc.) to each
Long-range crawler task requests are initiated at satellite data center, while remote by main center background management of process component progress multiple data centers
Journey crawler task management and scheduling.Long-range crawler task start rule is " prerequisite variable " queue sequence, and in the same time
Only one interior long-range crawler task is allowed to execute.During primary data center is by pulling divided data centre data,
" push-and-pull " component can be communicated with file manager, whether file the remote sensing image by the more main center of MD5 file verification
Metadata and thumbnail data.If having existed the remote sensing image thumbnail information in main centre data filing container, enter
The comparison procedure of next image file；If it does not exist, then enter real data downloading and transmission process, meta data file and remote sensing
Image thumbnail is transferred in primary data center intake working area by " push-and-pull " component, and main centre data is waited to absorb.
Step 3: the intake of the data of primary data center: primary data center crawler component both can be periodically automatic, can also be with
Data intake is carried out by data administrator manually, data capture process will do it pre- intake first and check, pass through preset first number
According to file type collection newly data file is increased to data intake working area and carry out type checking and filtering, and according to customized first number
Multi-source heterogeneous meta data file type, which is adapted to, according to mapping ruler carries out data intake.In addition, to prevent the repetition for having filed data
Intake, crawler manager still by with file manager assembly communication, whether filed by MD5 file verification, if not
Filing then files remote sensing image thumbnail file into image archiving container, and establishes full-text index by SolrCloud cluster
And fragment stores, and realizes the distributed fragment index of metadata.
In addition, multi-source remote sensing metadata format is converted: it is based on ISO 19115-2:2009 geography information-metadata standard,
The characteristics of for remotely-sensed data, establishes a unified remote sensing metadata format, the remote sensing of each distributed satellites data center
Metadata requires to be converted to the reference format before data integration, the remote sensing metadata schema (portion based on ISO 19115
Point) as shown in table 1:
Remote sensing metadata schema (part) of the table 1 based on ISO 19115
ISO 19115 is International Organization for standardization (International Standardization Organization, ISO)
Geography information-metadata standard of publication, ISO 19115-2 are increased in the extension of image and raster data ISO 19115
Description to acquisition, band class information etc. on Data Star, extends data quality element and spatial description；Domestic series of satellites member
Data and 19115 remote sensing metadata schema conversion table (part) of ISO are as shown in table 2: in table 2: "-" indicates that the field is not present；
The domestic series of satellites metadata of table 2 and 19115 remote sensing metadata schema conversion table (part) of ISO
By the multi-source heterogeneous remotely-sensed data of definition and 19115 standard metadata transformation rule of ISO, the information of wherein redundancy is deleted,
The information of some no records can be set to it is default, to realize the standardization of remote sensing metadata.
Beneficial effects of the present invention:, can be effective by distributed satellites data center multi- source Remote Sensing Data data integrated technology
For the multi-source data in distributed satellites data center heterogeneous system, under the background of remote sensing big data, carry out effective
Integrated and management.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (4)
1. a kind of distributed satellites data center multi- source Remote Sensing Data data processing method, which comprises the following steps:
Step 1: distributed satellites data center data processing: among each satellite data center construction data integration processing
Part, in which: the middleware includes crawler component, data processing support system and network service；The data distribution of data center
Newly-increased satellite data is distributed to data working area by device；By main or passive starter at the crawler component sending of middleware
Reason request；Crawler component is in pretreatment checking process, first by the text in correlation data working area and open data server
Part catalogue simultaneously increases data file progress type checking and filtering newly to data working area by preset target file type collection, increases
Amount handles newly-increased data；In data processing, crawler component can call has determined in data processing support system
The customized process flow for different satellite data centre data formats of justice, calling Apache Tika or other are customized
Tool set extracts or production remote sensing image thumbnail, remote sensing metadata, and the thumbnail file extracted, metadata are stored in
In satellite data open center server；
Step 2: distributed satellites data center converges to primary data center data: " push-and-pull " component of primary data center is by the period
Property start background process, and according to the external network interface of each distributed satellites data center open server, call not
Same Data Transport Protocol initiates long-range crawler task requests to each satellite data center, while by main center background process pipe
It manages component and carries out the long-range crawler task management and scheduling of multiple data centers；Wherein: long-range crawler task start rule is " first first
Service " queue sequence, and only one long-range crawler task is allowed to execute within the same time；
During primary data center is by pulling divided data centre data, " push-and-pull " component can be communicated with file manager,
The remote sensing image metadata and thumbnail data whether are filed by the more main center of MD5 file verification；Wherein: when in master
The remote sensing image thumbnail information is had existed in heart data filing container, then enters the comparison procedure of next image file；When
It is not present, then enters real data downloading and transmission process, meta data file and remote sensing image thumbnail are passed by " push-and-pull " component
It is defeated to be absorbed in working area to primary data center, wait main centre data to absorb；
Step 3: the data intake of primary data center: data capture process is carried out absorbing in advance first and be checked, passes through preset first number
According to file type collection newly data file is increased to data intake working area and carry out type checking and filtering, and according to customized first number
Multi-source heterogeneous meta data file type, which is adapted to, according to mapping ruler carries out data intake；In addition, to prevent the repetition for having filed data
Intake, crawler manager still by with file manager assembly communication, whether filed by MD5 file verification, if not
Filing then files remote sensing image thumbnail file into image archiving container, and establishes full-text index by SolrCloud cluster
And fragment stores, and realizes the distributed fragment index of metadata.
2. a kind of distributed satellites data center multi- source Remote Sensing Data data processing method according to claim 1, feature exist
In further including the conversion of multi-source remote sensing metadata format: based on ISO 19115-2:2009 geography information-metadata standard, establishing
Unified remote sensing metadata format, the remote sensing metadata of each distributed satellites data center require to convert before data integration
For the remote sensing metadata format.
3. a kind of distributed satellites data center multi- source Remote Sensing Data data processing method according to claim 1, feature exist
In newly-increased satellite data is distributed to data working area by the data distributor of data center in the step 1；By it is main or by
Dynamic starter issues processing request to the crawler component of middleware:
Wherein, the activly request refers to that the data strip mesh number transmitted when data distributor to data working area has reached at triggering
The request for handling newly-increased data is actively issued when the critical value of reason to crawler component；The passive request refers to be existed by timer
Regular time point passively trigger data treatment process.
4. a kind of distributed satellites data center multi- source Remote Sensing Data data processing method according to claim 1, feature exist
In primary data center crawler module data intake mode includes periodically carrying out data intake automatically and by counting in the step 3
Carry out data intake two ways manually according to administrator.
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| CN113641765A (en) * | 2021-10-13 | 2021-11-12 | 浙江大学 | Unified logic model organization method and device for massive multi-source remote sensing data |
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| CN115858835A (en) * | 2022-09-28 | 2023-03-28 | 中国水利水电科学研究院 | System and method for processing remote sensing image full chain |
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Application publication date: 20190111 |