CN101814029A - Building method capable of expanding processing function quickly in remote sensing image processing system - Google Patents
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Abstract
The invention relates to a building method capable of expanding processing function quickly in a remote sensing image processing system, comprising the following steps: 1) developing an algorithmic routine according to the parameter file appointing interface standard; 2) carrying out visible algorithmic routine registering through the remote sensing image processing system; 3) registering combined with business function; 4) dynamically submitting tasks and carrying out task scheduling. The method has the following advantages that: new business function can be expanded just by developing the algorithmic routine according to the appointed standard and carrying out algorithmic registering and combination without amending the remote sensing image processing system; and the processing operation of the business function can be carried out with a task submitting interface dynamically generated by the system just by appointing the obtaining manner of parameter when an algorithmic module is registered without developing the frequently-used human interactive obtaining parameter interface in the remote sensing image processing system.
Description
Technical field
The present invention relates to the remote sensing image processing technology field, relate in particular to the construction method that processing capacity can be expanded fast in a kind of remote sensing image processing system.
Background technology
Remote sensing technology is comprehensive Detection Techniques, because of it has objectivity, ageing, broad perspectives and characteristics comprehensive, economy, so between more than 40 years, remote sensing technology has been increasingly extensive to be applied to a plurality of fields such as resource and environment investigation and monitoring, Military Application, city planning.Along with increasingly extensive with remote sensing application of increasing of satellite kind, the remote sensing processing capacity is also more and more multiple various.In the remote sensing processing procedure, entire process process complexity, consuming time.Receive remotely-sensed data from sensor,, often need to carry out the processing of a plurality of steps, also will relate to the fusion of out of Memory sometimes to finally extracting the information that satisfies the application demand.Classic method is manually to finish or be connected each step, has had a strong impact on sensor information in real time or nearly real-time application.Simultaneously, also there are direct and indirect wasting phenomenon in human resources and software resource.For example, when the researchist carries out the remote sensing algorithm development of higher level, often need data are at hand carried out other processing of relatively low level, cause the researchist waste the precious time and energy in rudimentary work.Though some step of whole application can be finished by the remote sensing professional software, but because the remote sensing professional software is relatively costly, and function is also quite fixing, take time except needs understand software function, the special operation technique of study is finished these steps and also must be developed the amateurish function treatment software of oneself, has brought a lot of inconvenience.And in a plurality of complete business processing flows, the processing of some step is identical, and the amateurish function treatment software of developing oneself certainly will cause the waste of remote sensing algorithm and software.And in remote sensing image processing software, a lot of parameters need man-machine interactively just can obtain, and develop these man-machine interactively functions, also are very big workloads.
Along with available remote sensing satellite quantity and corresponding remote sensor kind thereof constantly increase, it is increasingly extensive that remote sensing is used in the industry-by-industry field, and the degree of depth and range that people use remotely-sensed data constantly propose new requirement, remote sensing image processing system is faced with new challenges and demand aspect reconstruction property and multiple business processing power flexibly, that people wish is many as far as possible in image processing system, finish oneself processing demands as far as possible simply, and remote sensing image processing system is being restricted aspect the function expansion.Be the urgent problems that solve of needs how, be necessary to provide the construction method that processing capacity can be expanded fast in a kind of remote sensing image processing system in the requirement of satisfying image processing aspect the expansions such as function.
Summary of the invention
The purpose of this invention is to provide the construction method that processing capacity can be expanded fast in a kind of remote sensing image processing system, solve the problem that loads multiple remote sensing algorithm, service processing function how fast.
The objective of the invention is to be achieved through the following technical solutions:
The construction method that processing capacity can be expanded fast in a kind of remote sensing image processing system may further comprise the steps:
1) develops algorithm routine according to the Parameter File of specified interface standard: according to the demand of various forms remote sensing image processing, design the interface specification that is fit to multiple remote sensing image processing demands, the interface parameters of regulation algorithm routine is necessary for the expandable mark language XML file, and the label in the XML file stipulated, comprise that Data Source, data description information, outgoing route, journal file deposit the privately owned parameter of path and algorithm routine; The interface parameters of regulation algorithm routine is necessary for the XML file of following form:
<？xml?version＝″1.0″encoding＝″UTF-8″？>
<MODELNAME>
<DATAS>
<DATAID＝″1″>
<SATELLITE></SATELLITE>
<SENSOR></SENSOR>
<SOURCEFILEPATH></SOURCEFILEPATH>
<DATANAME></DATANAME>
<BANDLIST></BANDLIST>
<STARTLINE></STARTLINE>
<ENDLINE></ENDLINE>
<STARTPIXEL></STARTPIXEL>
<ENDPIXEL></ENDPIXEL>
<LINES></LINES>
<COLUMNS></COLUMNS>
</DATA>
</DATAS>
<OUTPUT_DIR></OUTPUT_DIR>
<LOGFILE></LOGFILE>
<ERRORFILE></ERRORFILE>
<PARA1></PARA1>
<PARAN></PARAN>
</MODELNAME>
Wherein the root node of XML must be of the same name with algorithm routine; DATAS item and subitem thereof have been stipulated data message to be processed, must not expand; SATELLITE and SENSOR item are filled in the satellite and the sensor name of data to be processed; SOURCEFILEPATH and DATANAME show deposit data path and title; BANDLIST shows wave band tabulation to be processed; LINES and COLUMNS show the ranks number of data; STARTLINE, ENDLINE, STARTPIXEL, ENDPIXEL show initial, the termination row columns that needs are handled; OUTPUT_DIR, LOGFILE, ERRORFILE represent outgoing route, journal file and error message file; PARA1, PARAN represent privately owned parameter, are decided in its sole discretion by each algoritic module;
2) carry out the registration of visual algorithm routine by the remote sensing image processing system: during the visual registration of algorithm routine, the obtain manner of need assignment algorithm Program path, title, privately owned parameter and privately owned parameter comprises hand filling, from modes such as the interface obtain; Do not need to fill in common parameters such as Data Source during the algorithm registration; For the algorithm routine of having registered, it is the XML character string that the remote sensing image processing system stores its descriptor;
3) business function combination registration:, be combined as business function by remote sensing image processing system selection algorithm program; For the business function of having registered, it is the XML file that the remote sensing image processing system stores its descriptor; The descriptor of business function also comprises the descriptor of the algorithm routine of forming this business function except comprising the information of self; The process of business function registration may further comprise the steps:
(1) the remote sensing image processing system obtains the descriptor of all algorithm routines from database, offers the tabulation of user's algorithm routine;
(2) user selects required algorithm routine from tabulation, and the execution sequence of assignment algorithm module;
(3) classification of user's specified services function and all the other descriptors;
(4) user submits to and registers, and the remote sensing image processing system then preserves business function in XML character string mode and describes; And new user interface more, in menu item, load this function menu.
4) dynamically submit to task and task scheduling to carry out: the user selects Processing tasks, and the remote sensing image processing system dynamics generates the parameter interface, resolves job order after the user has added parameter, calls corresponding algorithm routine and finishes treatment scheme; In this process, the remote sensing image processing system needs integrated working flow software, realization flow processing power; The remote sensing image processing system resolves all business functions and describes the XML file after starting or the user registers operation flow and finish, and loads all business functions automatically on menu; When the user selectes service processing function, resolve its corresponding XML description document, generate the dynamic parameter interface; After the input of obtaining the user, generate the sequence information character string; When handling the sequence information character string, the remote sensing image processing system resolves to workflow to processing capacity, and when loading the operation flow of user's submission, same flow process can be loaded twice and finish jointly task handling; Be used to for the first time each phase process task to generate the corresponding interface Parameter File, be used to carry out each phase process task for the second time and finish specific processing capacity.
Beneficial effect of the present invention is: under the situation of not revising remote sensing image processing system itself, the user is as long as according to the go forward side by side line algorithm registration and making up of the own algorithm routine of the standard of appointment exploitation, just can expand new business function; And the user need not to develop in the remote sensing image processing man-machine interactively commonly used interface that gets parms, only need be when the registration algorithm module obtain manner of designated parameter, task of just can utilize system dynamics to generate is submitted the interface to, carries out the processing of business function and operates.
Description of drawings
With reference to the accompanying drawings the present invention is described in further detail below.
Fig. 1 is the process flow diagram of the construction method that processing capacity can be expanded fast in the remote sensing image processing system of the present invention;
Fig. 2 is that the construction method that processing capacity can be expanded fast in the remote sensing image processing system of the present invention carries out the process flow diagram that visual algorithm routine is registered by the remote sensing image processing system;
Fig. 3 is the process flow diagram of the business function combination registration of the construction method that processing capacity can be expanded fast in the remote sensing image processing system of the present invention;
Fig. 4 is the dynamic submission task and the task scheduling flowchart of the construction method that processing capacity can be expanded fast in the described remote sensing image processing system of invention.
Embodiment
As shown in Figure 1, the construction method that processing capacity can be expanded fast in a kind of remote sensing image processing system of the present invention may further comprise the steps:
1) develops algorithm routine according to the Parameter File of specified interface standard: according to the demand of various forms remote sensing image processing, design the interface specification that is fit to multiple remote sensing image processing demands, the interface parameters of regulation algorithm routine is necessary for the expandable mark language XML file, and the label in the XML file stipulated, comprise that Data Source, data description information, outgoing route, journal file deposit the privately owned parameter of public informations such as path and algorithm routine; The interface parameters of regulation algorithm routine is necessary for the XML file of following form:
<？xml?version＝″1.0″encoding＝″UTF-8″？>
<MODELNAME>
<DATAS>
<DATA?ID＝″1″>
<SATELLITE></SATELLITE>
<SENSOR></SENSOR>
<SOURCEFILEPATH></SOURCEFILEPATH>
<DATANAME></DATANAME>
<BANDLIST></BANDLIST>
<STARTLINE></STARTLINE>
<ENDLINE></ENDLINE>
<STARTPIXEL></STARTPIXEL>
<ENDPIXEL></ENDPIXEL>
<LINES></LINES>
<COLUMNS></COLUMNS>
</DATA>
</DATAS>
<OUTPUT_DIR></OUTPUT_DIR>
<LOGFILE></LOGFILE>
<ERRORFILE></ERRORFILE>
<PARA1></PARA1>
<PARAN></PARAN>
</MODELNAME>
Wherein the root node of XML must be of the same name with algorithm routine; DATAS item and subitem thereof have been stipulated data message to be processed, must not expand; SATELLITE and SENSOR item are filled in the satellite and the sensor name of data to be processed; SOURCEFILEPATH and DATANAME show deposit data path and title; BANDLIST shows wave band tabulation to be processed; LINES and COLUMNS show the ranks number of data; STARTLINE, ENDLINE, STARTPIXEL, ENDPIXEL show initial, the termination row columns that needs are handled; OUTPUT_DIR, LOGFILE, ERRORFILE represent outgoing route, journal file and error message file; PARA1, PARAN represent privately owned parameter, are decided in its sole discretion by each algoritic module;
2) carry out visual algorithm routine registration by the remote sensing image processing system: during the visual registration of algorithm routine, need the obtain manner of assignment algorithm Program path, title, privately owned parameter and privately owned parameter, comprise hand filling, from multiple modes such as the interface obtain; Do not need to fill in common parameters such as Data Source during the algorithm registration; For the algorithm routine of having registered, it is the XML character string that the remote sensing image processing system stores its descriptor;
3) business function combination registration:, be combined as business function by remote sensing image processing system selection algorithm program; For the business function of having registered, it is the XML file that the remote sensing image processing system stores its descriptor; The descriptor of business function also comprises the descriptor of the algorithm routine of forming this business function except comprising the information of self;
4) dynamically submit to task and task scheduling to carry out: the user selects Processing tasks, and the remote sensing image processing system dynamics generates the parameter interface, resolves job order after the user has added parameter, calls corresponding algorithm routine and finishes treatment scheme; In this process, the remote sensing image processing system needs integrated working flow software, realization flow processing power; The remote sensing image processing system resolves all business functions and describes the XML file after starting or the user registers operation flow and finish, and loads all business functions automatically on menu; When the user selectes service processing function, resolve its corresponding XML description document, generate the dynamic parameter interface; After the input of obtaining the user, generate the sequence information character string; When handling the sequence information character string, the remote sensing image processing system resolves to workflow to processing capacity, and when loading the operation flow of user's submission, same flow process can be loaded twice and finish jointly task handling; Be used to for the first time each phase process task to generate the corresponding interface Parameter File, be used to carry out each phase process task for the second time and finish specific processing capacity.
According to the described Parameter File exploitation algorithm routine of step 1) according to the specified interface standard, with image rotation algorithm is example, its executable program name ROTATETRANSFORM, then the suction parameter of its executable program is appointed as ROTATETRANSFORM.XML, and its content is:
<？xml?version＝″1.0″encoding＝″UTF-8″？>
<ROTATETRANSFORM>
<DATAS>
<DATA?ID＝″1″>
<SATELLITE></SATELLITE>
<SENSOR></SENSOR>
<SOURCEFILEPATH></SOURCEFILEPATH>
<DATANAME></DATANAME>
<BANDLIST></BANDLIST>
<STARTLINE></STARTLINE>
<ENDLINE></ENDLINE>
<STARTPIXEL></STARTPIXEL>
<ENDPIXEL></ENDPIXEL>
<LINES></LINES>
<COLUMNS></COLUMNS>
</DATA>
</DATAS>
<ANGLE></ANGLE>
<INTERMODE></INTERMODE>
<OUTPUT_DIR></OUTPUT_DIR>
<LOGFILE></LOGFILE>
<ERRORFILE></ERRORFILE>
</ROTATETRANSFORM>
Wherein ANGLE and INTERMODE are the privately owned parameter of algorithm itself, represent the anglec of rotation and resampling type respectively.
As shown in Figure 2, according to step 2) describedly carry out the registration of visual algorithm routine by the remote sensing image processing system: after the algorithm routine exploitation finished, the user specified algoritic module path, arthmetic statement information, required privately owned parameter etc. to carry out algorithm routine in the remote sensing image processing system and registers; The remote sensing image processing system then deposits in the descriptor of this algoritic module in the database with the form of XML character string, and returns the module information that succeeds in registration; When filling in module information, for the obtain manner of the required privately owned parameter of module, the remote sensing image processing system need encapsulate polytype, comprises that manual input, interface reconnaissance, interface route selection, interface select face, interface to select reference mark, select File etc.; The user does not need additionally to write the interface for man-machine interactively commonly used, only needs to get final product according to these parameter types of rule parsing when writing algoritic module; Simultaneously, do not need to fill in input/output information during Registering modules, these are finished during by the remote sensing image processing system analysis automatically, and the user only need fill in required data number; Most of algoritic module only needs input data; And some particular algorithm module, such as merge needing two data, then the specific data number is 2 when algoritic module is registered, and specific data 1 wave band number is 3, data 2 wave band numbers are 1 to get final product.
As shown in Figure 3, according to the described business function combination of step 3) registration process, the submenu of classification under business function shows as on the interface element of remote sensing image processing system, in concrete implementation process, correspond to workflow, algorithm routine then corresponds to a step in the workflow, and the flow process of registration business function is:
(1) the remote sensing image processing system obtains the descriptor of all algorithm routines from database, offers the tabulation of user's algorithm routine;
(2) user selects required algorithm routine from tabulation, and the execution sequence of assignment algorithm module;
(3) classification of user's specified services function and all the other descriptors;
(4) user submits to and registers, and the remote sensing image processing system then preserves business function in XML character string mode and describes; And new user interface more, in menu item, load this function menu.
As shown in Figure 4, according to described dynamic submission task of step 4) and task scheduling implementation, wherein, the implementation of expanded function comprises: user's specified services function, parameter inputting interface according to dynamic generation is selected pending remote sensing image, submit the scheduler module of Remote Sensing Data Processing task to after filling in parameter to the remote sensing images system, this module interpretation process task is a workflow, task is resolved into interim task, call and use the execution of algorithm extension layer corresponding arithmetic module, up to the fixed task of the single gauge of finishing the work.
Above-mentioned processing capacity is selected with the generative process of dynamic parameter inputting interface: for the new business function of user's registration, be stored in the system database with the form of XML character string; The remote sensing image processing system obtains all business function information when software startup or after business function registration finishes, and according to the difference of classification, resolves to business function and handles menu; Wherein business function is categorized as the one-level menu, and business function then is a second-level menu; The user is when selecting the business function menu, the algorithm routine information that can obtain this business function descriptor and form this business function, dynamically generate the parameter inputting interface, comprise the privately owned parameter information of task priority information, Data Source and subarea information thereof, algoritic module etc.; The remote sensing image processing system resolves accordingly according to the privately owned parameter type of algorithm routine; For needing the mutual operation of user and image,, after operating accordingly on the remote sensing image browser interface that the user selects, handle corresponding value by the parameter inputting interface as selecting point, line, surface, reference mark etc.; For need not the mutual operation of interactive image, the user fills in or selects corresponding value to get final product.
Above-mentioned processing capacity is resolved with the implementation of carrying out: the remote sensing image Processing tasks is the treatment scheme that is formed by a series of stage subtasks (function algorithm module) organic assembling; For realizing that the remote sensing image processing capacity can expand the requirement of structure, the remote sensing image processing software that meets this construction method need be introduced dirigibility and the extensibility that workflow mechanism maximizes the system data treatment scheme; This treatment scheme is described with the XML character string, deposits in the system database, and therefore dynamic load when operation task can realize " hot plug " of function algorithm module in flow chart of data processing; And utilize self engine that description document is resolved, and each phased mission in the flow process is handled according to the rule that pre-defines; In the Remote Sensing Data Processing flow process, same flow process can be loaded twice and finish jointly task handling; Be used to for the first time each phase process task to generate the relevant parameters file, deposit in the rule of appointment under the catalogue of handling order, be used to carry out each phase process task for the second time and finish specific processing capacity; Simultaneously, set up the checkpoint on stream, handle with detection-phase whether correct execution is finished, by the flow process of detection, the follow-up task function of check point will no longer not be performed.
In sum, the present invention has stipulated interface specification, registration standard and the business function logon mode of algorithm routine, taked the mode of workflow that operation flow is resolved and dispatched in the remote sensing image processing system, integrated man-machine interactively commonly used obtains the function of remote sensing image processing parameter in the remote sensing image processing system.The user only need carry out the exploitation of algorithm routine according to the appointment standard, and need not develop the required man-machine interactively of algorithm routine interface getparms, has saved development time and difficulty greatly.And the remote sensing image processing system need not to carry out any modification and calling of registered business function carried out in compiling, has improved the stability and the extensibility of system.
Claims (2)
1. the construction method that processing capacity can be expanded fast in the remote sensing image processing system is characterized in that, may further comprise the steps:
1) develops algorithm routine according to the Parameter File of specified interface standard: according to the demand of various forms remote sensing image processing, design the interface specification that is fit to multiple remote sensing image processing demands, the interface parameters of regulation algorithm routine is necessary for the expandable mark language XML file, and the label in the XML file stipulated, comprise that Data Source, data description information, outgoing route, journal file deposit the privately owned parameter of path and algorithm routine;
2) carry out the registration of visual algorithm routine by the remote sensing image processing system: during the visual registration of algorithm routine, the obtain manner of need assignment algorithm Program path, title, privately owned parameter and privately owned parameter comprises hand filling, from the interface obtain manner; Do not need to fill in common parameter during the algorithm registration; For the algorithm routine of having registered, it is the XML character string that the remote sensing image processing system stores its descriptor;
3) business function combination registration:, be combined as business function by remote sensing image processing system selection algorithm program; For the business function of having registered, it is the XML file that the remote sensing image processing system stores its descriptor; The descriptor of business function also comprises the descriptor of the algorithm routine of forming this business function except comprising the information of self;
4) dynamically submit to task and task scheduling to carry out: the user selects Processing tasks, and the remote sensing image processing system dynamics generates the parameter interface, resolves job order after the user has added parameter, calls corresponding algorithm routine and finishes treatment scheme; In this process, the remote sensing image processing system needs integrated working flow software, realization flow processing power; The remote sensing image processing system resolves all business functions and describes the XML file after starting or the user registers operation flow and finish, and loads all business functions automatically on menu; When the user selectes service processing function, resolve its corresponding XML description document, generate the dynamic parameter interface; After the input of obtaining the user, generate the sequence information character string; When handling the sequence information character string, the remote sensing image processing system resolves to workflow to processing capacity, and when loading the operation flow of user's submission, same flow process can be loaded twice and finish jointly task handling; Be used to for the first time each phase process task to generate the corresponding interface Parameter File, be used to carry out each phase process task for the second time and finish specific processing capacity.
2. the construction method that processing capacity can be expanded fast in the remote sensing image processing system according to claim 1 is characterized in that, the process of business function registration may further comprise the steps in step 3):
(1) the remote sensing image processing system obtains the descriptor of all algorithm routines from database, offers the tabulation of user's algorithm routine;
(2) user selects required algorithm routine from tabulation, and the execution sequence of assignment algorithm module;
(3) classification of user's specified services function and all the other descriptors;
(4) user submits to and registers, and the remote sensing image processing system then preserves business function in XML character string mode and describes; And new user interface more, in menu item, load this function menu.
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| CN106022245A (en) * | 2016-05-16 | 2016-10-12 | 中国资源卫星应用中心 | Multi-source remote sensing satellite data parallel processing system and method based on algorithm classification |
| CN107423053A (en) * | 2017-06-15 | 2017-12-01 | 东莞理工学院 | A web-based model encapsulation and distributed processing method for remote sensing image processing |
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| CN106022245A (en) * | 2016-05-16 | 2016-10-12 | 中国资源卫星应用中心 | Multi-source remote sensing satellite data parallel processing system and method based on algorithm classification |
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| CN110941463B (en) * | 2019-11-13 | 2021-12-03 | 中国科学院遥感与数字地球研究所 | Remote sensing satellite data preprocessing multistage product self-driven system |
| CN110941463A (en) * | 2019-11-13 | 2020-03-31 | 中国科学院遥感与数字地球研究所 | Remote sensing satellite data preprocessing multistage product self-driven system |
| CN113076155A (en) * | 2020-01-03 | 2021-07-06 | 阿里巴巴集团控股有限公司 | Data processing method and device, electronic equipment and computer storage medium |
| CN113076155B (en) * | 2020-01-03 | 2024-05-03 | 阿里巴巴集团控股有限公司 | Data processing method, device, electronic equipment and computer storage medium |
| CN112099848A (en) * | 2020-09-11 | 2020-12-18 | 杭州海康威视数字技术股份有限公司 | Service processing method, device and equipment |
| CN112099848B (en) * | 2020-09-11 | 2024-03-05 | 杭州海康威视数字技术股份有限公司 | Service processing method, device and equipment |
| CN112445497A (en) * | 2020-11-25 | 2021-03-05 | 中国电子科技集团公司第五十四研究所 | Remote sensing image processing system based on plug-in extensible architecture |
| CN112445497B (en) * | 2020-11-25 | 2022-12-27 | 中国电子科技集团公司第五十四研究所 | Remote sensing image processing system based on plug-in extensible architecture |
| CN112559074A (en) * | 2020-12-18 | 2021-03-26 | 昂纳工业技术(深圳)有限公司 | Dynamic configuration method of machine vision software and computer |
| CN114329078A (en) * | 2021-12-27 | 2022-04-12 | 中科星通(廊坊)信息技术有限公司 | Remote sensing product production flow customization development platform based on XML |
| CN114329078B (en) * | 2021-12-27 | 2023-04-07 | 中科星通(廊坊)信息技术有限公司 | Remote sensing product production flow customization development system based on XML |
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