CN107315639A - Spectrum remote-sensing image data organization method and system during a kind of high based on cluster - Google Patents
Spectrum remote-sensing image data organization method and system during a kind of high based on cluster Download PDFInfo
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- CN107315639A CN107315639A CN201710347156.0A CN201710347156A CN107315639A CN 107315639 A CN107315639 A CN 107315639A CN 201710347156 A CN201710347156 A CN 201710347156A CN 107315639 A CN107315639 A CN 107315639A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
Abstract
The invention discloses spectrum remote-sensing image data organization method during a kind of high based on cluster and system.Methods described includes：Objects recognition instruction is received, instructs the satellite gathered data included to determine atural object recognizer based on Objects recognition；The running status for the multiple calculate nodes for having set up connection is obtained, the sum of available calculate node and available calculate node is determined；Based on the sum of Objects recognition algorithm, available calculate node and available calculate node, the calculating sub module to be allocated to each available calculate node is determined, calculating sub module includes Objects recognition algorithm and the calculating parameter for each calculating sub module；Calculating sub module is transferred to corresponding available calculate node；Result of calculation is received from each available calculate node, and recognition result is determined based on Objects recognition algorithm, recognition result is sent to client.The scheme that the present invention is provided, can realize the modularization of Objects recognition algorithm, realize multilingual, multi-platform model hierarchyization management.
Description
Technical field
The present invention relates to remote sensing image data tissue areas, more particularly to spectrum remote-sensing image number during a kind of high based on cluster
According to method for organizing and system.
Background technology
For GF-4 satellites high frequency time, fast reserve observation feature, research is based on high time spectrum GF-4 satellite remote sensing shadows
The ground class method for quickly identifying of picture, carries out towards the typically class such as arable land, forest land, meadow, settlement place, accumulated snow, ice slush, waters
Feature Selection Model is studied, and researches and develops the high-performance monitoring platform constructing technology for typically class, is the mitigation disaster relief, weather change
Change the work such as research, seismic environment investigation, forest and Investigation of water resources and basic background data is provided, and defended for China's high score series
Sing data Remote Sensing Products are produced and operation system builds and provides technology and method support, to the high frequency time of lifting China independent research
The Geo-synchronous fixed statellite remote sensing data application extensiveness and intensiveness of time series has important directive significance and exemplary role.
At present, high time spectrum GF-4 satellite remote-sensing images are new high score remote sensing images, with high frequency time, fast reserve
Observation feature, the ground class method for quickly identifying based on the remote sensing influence of GF-4 Microstars has new spy compared with conventional recognizer
Point.Because recognizer has diversity on platform development and programming language, cause the reusability of model too low, popularize journey
Degree is limited, and existing platform is substantially the exploitation that platform is carried out for specific recognizer, and can not regard recognizer as plug-in unit
Progress is integrated, realizes multilingual, multi-platform model hierarchyization management.
The content of the invention
Present invention seek to address that problem as described above.It is based on it is an object of the invention to provide the one kind for solving problem above
Cluster it is high when spectrum remote-sensing image data organization method and system.
According to an aspect of the present invention there is provided spectrum remote-sensing image data organization method during high based on cluster, it is applied to
Host node, including：
Step 1, Objects recognition instruction is received, the satellite gathered data included is instructed based on the Objects recognition definitely
Thing recognizer；
Step 2, the running status for the multiple calculate nodes for having set up connection is obtained, available calculate node is determined and available
Calculate node sum；
Step 3, the sum based on the Objects recognition algorithm, available calculate node and available calculate node, it is determined that
Calculating sub module to be allocated to each available calculate node, the calculating sub module include the Objects recognition algorithm and
For the calculating parameter of each calculating sub module；
Step 4, the calculating sub module is transferred to corresponding available calculate node；
Step 5, result of calculation is received from each available calculate node, and identification is determined based on the Objects recognition algorithm
As a result, the recognition result is sent to client.
The method of spectrum remote-sensing image data tissue also has the characteristics that during above-mentioned high based on cluster：
The step 2 includes：The running status includes the utilization rate of every resource and the holding for CPU of the calculate node
Line efficiency, preset value and CPU calculating section of the execution efficiency higher than preset value are below by the utilization rate of every resource
Point is used as available calculate node.
The method of spectrum remote-sensing image data tissue also has the characteristics that during above-mentioned high based on cluster：
The step 3 also includes：The mark of each available calculate node is set, is set up according to the mark and calculates submodule
The corresponding relation of block and available calculate node.
The method of spectrum remote-sensing image data tissue also has the characteristics that during above-mentioned high based on cluster：
The step of methods described is additionally included between the step 4 and the step 5：In the available calculate node
Calculating sub module calculated during, obtain in real time the available calculate node every resource utilization rate and
CPU execution efficiency, adjusts the calculating task that each calculating sub module is performed, so that each calculating sub module has performed calculating and appointed
Business the spent time reaches unanimity, and the utilization rate of the every resource of each calculate node is no more than preset value.
The method of spectrum remote-sensing image data tissue also has the characteristics that during above-mentioned high based on cluster：
The calculating task that each calculating sub module of adjustment is performed includes：By the calculating parameter for adjusting each calculating sub module
To adjust the calculating task that each calculating sub module is performed, the calculating parameter after adjustment is sent to corresponding available calculate node
In calculating sub module.
According to another aspect of the present invention there is provided spectrum remote-sensing image data organization method during a kind of high based on cluster,
Applied to calculate node, including：
Send the current running status of calculate node in real time to host node；
Receive calculating sub module and satellite gathered data corresponding with the calculating sub module that host node is sent, the meter
Operator module performs calculating task, and the calculating sub module includes Objects recognition algorithm and calculating parameter, in the calculating submodule
During block is calculated, when the calculating parameter and satellite corresponding with the calculating parameter that receive the host node transmission
During gathered data, the calculating sub module performs calculating task according to the calculating parameter received；
Result of calculation is sent to the host node.
The method of spectrum remote-sensing image data tissue also has the characteristics that during above-mentioned high based on cluster：
The calculating sub module performs task by the way of asynchronous when performing calculating task, and perform task and
Row granularity uses big granularity or middle granularity.
According to another aspect of the present invention spectrum remote-sensing image data group during above-mentioned high based on cluster is used there is provided a kind of
The host node of organization method, including：
Algorithm determining module, for receiving Objects recognition instruction, instructs the satellite included to adopt based on the Objects recognition
Collection data determine atural object recognizer；
Calculate node determining module, the running status for obtaining the multiple calculate nodes for having set up connection, it is determined that available
Calculate node and available calculate node sum；
Calculating sub module determining module, by based on the Objects recognition algorithm, available calculate node and it is available based on
The sum of operator node, determines the calculating sub module to be allocated to each available calculate node, and the calculating sub module includes
The Objects recognition algorithm and the calculating parameter for each calculating sub module；
First sending module, for the calculating sub module to be transferred into corresponding available calculate node；
Recognition result determining module, for receiving result of calculation from each available calculate node, and based on the atural object
Recognizer determines recognition result；
Second sending module, for the recognition result to be sent to client.
According to another aspect of the present invention spectrum remote-sensing image data group during above-mentioned high based on cluster is used there is provided a kind of
The calculate node of organization method, including：
First sending module, for sending the current running status of calculate node in real time to host node；
Receiving module, calculating sub module and satellite corresponding with the calculating sub module for receiving host node transmission are adopted
Collect data, and the calculating sub module is performed calculating task, the calculating sub module includes Objects recognition algorithm and calculated to join
Number；
Calculating sub module update module, during being calculated in the calculating sub module, when the reception mould
When block receives the calculating parameter and satellite gathered data corresponding with the calculating parameter that the host node is sent, make the meter
Operator module performs calculating task according to the calculating parameter received；
Second sending module, for sending result of calculation to the host node.
According to another aspect of the present invention spectrum remote-sensing image data group during above-mentioned high based on cluster is used there is provided a kind of
System is knitted, including：Foregoing host node, multiple foregoing calculate nodes and client, the host node and multiple calculate nodes
Communication connection, the host node and client communication connection.
Spectrum remote-sensing image data organization method and system during high based on cluster that the present invention is provided, by will based on it is high when
Between the identification plug-in unit such as arable land, forest land, meadow, settlement place, accumulated snow, ice slush, waters of modal data carry out integrated, can realize multi-lingual
Speech, the management of multi-platform model hierarchyization, solve model detachably, the problems such as can sharing the rapid build with system, in unified frame
The co-ordination of Telemetry Service analyzing and processing is realized under frame, while supporting the integrated of application scheme to build and visual configuration, is increased
The ability that strong system use demand is continually changing, reduces development difficulty, and base support is provided for Telemetry Serviceization application.
Brief description of the drawings
The accompanying drawing for constituting the part of the present invention is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 be embodiments in accordance with the present invention one provide high based on cluster when spectrum remote-sensing image data organization method
Flow chart；
Fig. 2 be embodiments in accordance with the present invention two provide high based on cluster when spectrum remote-sensing image data organization method
Flow chart；
Fig. 3 is the structural representation for the host node that embodiments in accordance with the present invention three are provided；
Fig. 4 is the structural representation for the calculate node that embodiments in accordance with the present invention four are provided；
Fig. 5 be embodiments in accordance with the present invention five provide high based on cluster when spectrum remote-sensing image data organization system
Structural representation.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.Need
Illustrate, in the case where not conflicting, the feature in embodiment and embodiment in the application can be mutually combined.
Spectrum remote-sensing image data when high based on cluster of exemplary embodiment of the present invention being described in detail below in conjunction with the accompanying drawings
Method for organizing and system.
Embodiment one
Fig. 1 is the stream of spectrum remote-sensing image data organization method when showing according to embodiments of the present invention one high based on cluster
Cheng Tu, applied to host node.Reference picture 1, methods described includes：
Step 101, Objects recognition instruction is received, instructs the satellite gathered data included to determine atural object based on Objects recognition
Recognizer；
Step 102, the running status for the multiple calculate nodes for having set up connection is obtained, available calculate node is determined and can
The sum of calculate node；
Step 103, the sum based on Objects recognition algorithm, available calculate node and available calculate node, it is determined that treating
The calculating sub module of each available calculate node is distributed to, calculating sub module includes Objects recognition algorithm and calculated for each
The calculating parameter of submodule；
Step 104, calculating sub module is transferred to corresponding available calculate node；
Step 105, result of calculation is received from each available calculate node, and identification knot is determined based on Objects recognition algorithm
Really, recognition result is sent to client.
In above-mentioned steps 102, running status includes the utilization rate of every resource of calculate node, by the use of every resource
Rate is below the calculate node of preset value as available calculate node.
Above-mentioned steps 103 also include：The mark of each available calculate node is set, calculating sub module is set up according to mark
With the corresponding relation of available calculate node.
The mark of each available calculate node can be the address information of calculate node, or set according to address information
Numbering.
Also include between above-mentioned steps 104 and step 105：Calculating sub module in available calculate node is calculated
During, the utilization rate and CPU execution efficiency of every resource of available calculate node are obtained in real time, adjust each calculating
The calculating task that module is performed, so that each calculating sub module has performed the time that calculating task spent and reached unanimity, and makes
The utilization rate of the every resource of each calculate node is no more than preset value.The method for adjusting the calculating task that each calculating sub module is performed
For：The calculating task that each calculating sub module is performed is adjusted by adjusting the calculating parameter of each calculating sub module, after adjustment
Calculating parameter is sent into the calculating sub module of corresponding available calculate node.
The utilization rate of every resource of calculate node includes CPU usage and memory usage etc., for example, can be CPU
The relatively low calculate node of the high or every resource utilization of execution efficiency distributes more calculating task, each calculating sub module is tried one's best
Completing calculating task simultaneously will not cause to take excessive resource when performing calculating task again, so as to reach the resource of calculate node
The purpose of equilibrium assignment.
In the present embodiment, each calculating sub module can carry out unified tissue by the interface or agreement of standard, realize not
With the multiplexing of the shared and program of resource.
Embodiment two
Fig. 2 is the stream of spectrum remote-sensing image data organization method when showing according to embodiments of the present invention two high based on cluster
Cheng Tu, applied to calculate node.Reference picture 2, methods described includes：
Step 201, the current running status of calculate node is sent in real time to host node；
Step 202, calculating sub module and satellite gathered data corresponding with calculating sub module that host node is sent, meter are received
Operator module performs calculating task, and calculating sub module includes Objects recognition algorithm and calculating parameter, counted in calculating sub module
During calculation, when receiving the calculating parameter and satellite gathered data corresponding with calculating parameter of host node transmission, calculate
Submodule performs calculating task according to the calculating parameter received；
Step 203, result of calculation is sent to host node.
Above-mentioned calculating sub module performs task by the way of asynchronous when performing calculating task, and perform task and
Row granularity uses big granularity or middle granularity, so can fully increase proportion of the calculating time relative to call duration time, drop significantly
Low communication number of times, improves the operation efficiency of whole system.
Embodiment three
Fig. 3 is the structural representation for the host node for showing according to embodiments of the present invention three, real as shown in Figure 1 available for performing
Apply the method and step of example.Reference picture 3, the host node includes：
Algorithm determining module 301, for receiving Objects recognition instruction, the satellite collection included is instructed based on Objects recognition
Data determine atural object recognizer；
Calculate node determining module 302, the running status for obtaining the multiple calculate nodes for having set up connection, it is determined that can
The sum of calculate node and available calculate node；
Calculating sub module determining module 303, for based on Objects recognition algorithm, available calculate node and available calculating
The sum of node, determines the calculating sub module to be allocated to each available calculate node, and calculating sub module includes atural object and known
Other algorithm and the calculating parameter for each calculating sub module；
First sending module 304, for calculating sub module to be transferred into corresponding available calculate node；
Recognition result determining module 305, for receiving result of calculation from each available calculate node, and is known based on atural object
Other algorithm determines recognition result；
Second sending module 306, for recognition result to be sent to client.
Example IV
Fig. 4 is the structural representation for the calculate node for showing according to embodiments of the present invention four, as shown in Figure 2 available for performing
The method and step of embodiment.Reference picture 4, the calculate node includes：
First sending module 401, for sending the current running status of calculate node in real time to host node；
Receiving module 402, calculating sub module and satellite corresponding with calculating sub module for receiving host node transmission are adopted
Collect data, and calculating sub module is performed calculating task, calculating sub module includes Objects recognition algorithm and calculating parameter；
Calculating sub module update module 403, during being calculated in calculating sub module, when receiving module is received
When the calculating parameter and satellite gathered data corresponding with calculating parameter that send to host node, make calculating sub module according to receiving
Calculating parameter perform calculating task；
Second sending module 404, for sending result of calculation to host node.
Embodiment five
Fig. 5 is the knot of spectrum remote-sensing image data organization system when showing according to embodiments of the present invention five high based on cluster
Structure schematic diagram.Reference picture 5, the system includes：Host node 501, multiple such as previous embodiments four as described in previous embodiment three
Described calculate node 502 and client 503, wherein, host node and the communication connection of multiple calculate nodes, host node and client
Communication connection.
Spectrum remote-sensing image data organization method and system during high based on cluster that the present invention is provided, by will based on it is high when
Between the identification plug-in unit such as arable land, forest land, meadow, settlement place, accumulated snow, ice slush, waters of modal data carry out integrated, can realize multi-lingual
Speech, the management of multi-platform model hierarchyization, solve model detachably, the problems such as can sharing the rapid build with system, in unified frame
The co-ordination of Telemetry Service analyzing and processing is realized under frame, while supporting the integrated of application scheme to build and visual configuration, is increased
The ability that strong system use demand is continually changing, reduces development difficulty, and base support is provided for Telemetry Serviceization application.
Descriptions above can combine implementation individually or in a variety of ways, and these variants all exist
Within protection scope of the present invention.
One of ordinary skill in the art will appreciate that all or part of step in the above method can be instructed by program
Related hardware is completed, and described program can be stored in computer-readable recording medium, such as read-only storage, disk or CD
Deng.Alternatively, all or part of step of above-described embodiment can also use one or more integrated circuits to realize, accordingly
Each device/unit in ground, above-described embodiment can be realized in the form of hardware, it would however also be possible to employ the shape of software function device
Formula is realized.The present invention is not restricted to the combination of the hardware and software of any particular form.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property is included, so that article or equipment including a series of key elements not only include those key elements, but also including not having
There are other key elements being expressly recited, or also include for this article or the intrinsic key element of equipment.In not more limits
In the case of system, the key element limited by sentence " including ... ", it is not excluded that in the article or equipment including the key element
Also there is other identical element.
The above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, reference only to preferred embodiment to this hair
It is bright to be described in detail.It will be understood by those within the art that, technical scheme can be modified
Or equivalent substitution, without departing from the spirit and scope of technical solution of the present invention, the claim model in the present invention all should be covered
Among enclosing.
Claims (10)
1. spectrum remote-sensing image data organization method during a kind of high based on cluster, applied to host node, it is characterised in that the side
Method includes：
Step 1, Objects recognition instruction is received, instructs the satellite gathered data included to determine that atural object is known based on the Objects recognition
Other algorithm；
Step 2, the running status for the multiple calculate nodes for having set up connection is obtained, available calculate node and available meter is determined
The sum of operator node；
Step 3, the sum based on the Objects recognition algorithm, available calculate node and available calculate node, it is determined that treating point
The calculating sub module of each available calculate node of dispensing, the calculating sub module includes the Objects recognition algorithm and is directed to
The calculating parameter of each calculating sub module；
Step 4, the calculating sub module is transferred to corresponding available calculate node；
Step 5, result of calculation is received from each available calculate node, and identification knot is determined based on the Objects recognition algorithm
Really, the recognition result is sent to client.
2. the method as described in claim 1, it is characterised in that the step 2 includes：
The running status includes the utilization rate and CPU execution efficiency of every resource of the calculate node, by the items
The utilization rate of resource is below preset value and CPU execution efficiency is saved higher than the calculate node of preset value as available calculate
Point.
3. the method as described in claim 1, it is characterised in that the step 3 also includes：
The mark of each available calculate node is set, calculating sub module and available calculate node are set up according to the mark
Corresponding relation.
4. method as claimed in claim 2, it is characterised in that methods described be additionally included in the step 4 and the step 5 it
Between the step of：
During calculating sub module in the available calculate node is calculated, the available calculating is obtained in real time
The utilization rate and CPU execution efficiency of every resource of node, adjust the calculating task that each calculating sub module is performed, so that described
Each calculating sub module has performed the time that calculating task spent and reached unanimity, and makes the utilization of the every resource of each calculate node
Rate is no more than preset value.
5. method as claimed in claim 4, it is characterised in that
The calculating task that each calculating sub module of adjustment is performed includes：
The calculating task that each calculating sub module is performed is adjusted by adjusting the calculating parameter of each calculating sub module, after adjustment
Calculating parameter is sent into the calculating sub module of corresponding available calculate node.
6. spectrum remote-sensing image data organization method during a kind of high based on cluster, applied to calculate node, it is characterised in that described
Method includes：
Send the current running status of calculate node in real time to host node；
Receive calculating sub module and satellite gathered data corresponding with the calculating sub module that host node is sent, calculating
Module performs calculating task, and the calculating sub module includes Objects recognition algorithm and calculating parameter, entered in the calculating sub module
During row is calculated, when the calculating parameter and satellite corresponding with calculating parameter collection that receive the host node transmission
During data, the calculating sub module performs calculating task according to the calculating parameter received；
Result of calculation is sent to the host node.
7. method as claimed in claim 6, it is characterised in that
The calculating sub module performs task, and the parallel grain of performing for task by the way of asynchronous when performing calculating task
Degree uses big granularity or middle granularity.
8. spectrum remote-sensing image data organization method during high based on cluster any one of a kind of usage right requirement 1~5
Host node, it is characterised in that the host node includes：
Algorithm determining module, for receiving Objects recognition instruction, instructs the satellite included to gather number based on the Objects recognition
According to determination atural object recognizer；
Calculate node determining module, the running status for obtaining the multiple calculate nodes for having set up connection, determines available meter
The sum of operator node and available calculate node；
Calculating sub module determining module, for based on the Objects recognition algorithm, available calculate node and available calculating section
The sum of point, determines the calculating sub module to be allocated to each available calculate node, and the calculating sub module includes described
Objects recognition algorithm and the calculating parameter for each calculating sub module；
First sending module, for the calculating sub module to be transferred into corresponding available calculate node；
Recognition result determining module, for receiving result of calculation from each available calculate node, and based on the Objects recognition
Algorithm determines recognition result；
Second sending module, for the recognition result to be sent to client.
9. the calculating section of spectrum remote-sensing image data organization method during high based on cluster described in a kind of usage right requirement 6 or 7
Point, it is characterised in that the calculate node includes：
First sending module, for sending the current running status of calculate node in real time to host node；
Receiving module, calculating sub module and satellite corresponding with calculating sub module collection number for receiving host node transmission
According to, and the calculating sub module is performed calculating task, the calculating sub module includes Objects recognition algorithm and calculating parameter；
Calculating sub module update module, during being calculated in the calculating sub module, when the receiving module connects
When receiving the calculating parameter and satellite gathered data corresponding with the calculating parameter that the host node is sent, make calculating
Module performs calculating task according to the calculating parameter received；
Second sending module, for sending result of calculation to the host node.
10. spectrum remote-sensing image data organization system during a kind of high based on cluster, it is characterised in that the system includes：As weighed
Profit requires host node described in 8, multiple calculate nodes and client as claimed in claim 9, the host node and multiple institutes
State calculate node communication connection, the host node and client communication connection.
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| CN103425707A (en) * | 2012-05-25 | 2013-12-04 | 中兴通讯股份有限公司 | Data analyzing method and data analyzing device |
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Application publication date: 20171103 |