CN111949915A - Visual customization method and system for production process of remote sensing product - Google Patents
Visual customization method and system for production process of remote sensing product Download PDFInfo
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Abstract
The application relates to a visual customization method and a visual customization system for a production process of a remote sensing product, which comprises the steps of carrying out visual display on XML (extensive makeup language) information of an atomic algorithm component by initializing the atomic algorithm component; analyzing the XML file of the user-defined flow as a visual image to obtain a directed graph, and realizing the visualization of the dependency relationship of the atomic algorithm components; realizing flow information reconstruction according to the connection relation between the atomic algorithm components generated by user operation; and extracting the topological relation of the directed graph, converting the topological relation into the dependency relation among the atomic algorithm components, and generating a logical flow XML file. The method and the system can solve the problems that a remote sensing product visual production system in the prior art is high in use threshold, poor in use flexibility, inconvenient to maintain and large in application limitation, and a user can flexibly customize a remote sensing data processing flow under a multi-platform environment.
Description
Technical Field
The application belongs to the technical field of remote sensing products, and particularly relates to a visual customization method and system for a production process of a remote sensing product.
Background
With the wider application of the field of remote sensing image processing, the number of remote sensing processing algorithms is increased, and the complexity of the algorithms is increased. The common module of the extractable algorithm is analyzed based on the common technology of the remote sensing algorithm, the basic information of the remote sensing algorithm and the input and output structure content of the product are set, and the remote sensing algorithm is modularized. In the production process of remote sensing products, the dependency relationship among the algorithms needs to be known, data transmission parameters among the corresponding algorithms are set, and then the product algorithms are called in sequence to finish the production of the products.
The current remote sensing product production service is gradually changed into high-level customization, but in the production process from remote sensing original data to remote sensing products, the processing algorithm of a plurality of remote sensing images has reusability, and according to the application requirement of remote sensing information, the data processing of remote sensing can be combined by a plurality of atomic algorithms, so that the production flow of the remote sensing products can realize quick custom customization.
In order to realize the visual customization of the production process of the remote sensing product, a visual data flow model meeting the production of the remote sensing product needs to be established. The trainees of the university of Henan combine algorithm modularization and workflow thought to provide a visual data flow model for the production of remote sensing products, the data flow model is the summarization and abstraction of the production flow of the remote sensing products, and the calling relation of the algorithm in the flow is visually represented by using the connection relation between visual algorithms, so that the production flow of the remote sensing products is formed.
The scholars use the thought to respectively use the technologies such as JGraph, Flex and the like to provide a visual customization scheme for the production flow of the remote sensing product, and Fearns Peter of Australian Perth university remote sensing and satellite research group also provides a remote sensing product production system realized based on workflow technology, so that non-professional ordinary users can conveniently process and analyze the remote sensing data. The functions of the systems are comprehensive, and an information system covering the production flow of main remote sensing products is established, but partial defects still exist:
1) these solutions are based on the C/S model, have high use thresholds, are not flexible to use and are not easy to maintain.
2) The defects of the schemes in the technical selection aspect cause the application range to have great limitation.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the problems that in the prior art, a remote sensing processing algorithm is high in complexity, a remote sensing product visual production system is high in use threshold, poor in use flexibility, inconvenient to maintain and large in application limitation are solved.
In order to solve the technical problems, the invention provides a visual customization method and a visual customization system for a production process of a remote sensing product, so as to simplify the production processing process of the remote sensing product. The invention realizes the functions of componentization of the atomic algorithm, visualization of the customization process, generation of the customized flow file and the like based on the mxGraph technology according to the corresponding data structure designed according to the characteristics of the existing atomic algorithm. The invention combines the traditional processing mode of remote sensing product production with the workflow technology, and realizes that a user can flexibly customize the process of remote sensing data processing in a multi-platform environment. The production line executes a remote sensing data processing algorithm by calling a user-defined remote sensing product processing flow, and the remote sensing product meeting the specific requirements of the user is produced.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides a visual customization method of a production process of a remote sensing product, which comprises the following steps:
by initializing the atomic algorithm component, mapping the atomic algorithm information into an atomic algorithm component image, and visually displaying the XML file information of the atomic algorithm component;
analyzing the XML file of the user-defined flow as a visual image, wherein the visual image comprises various component graphs, expressing the precedence relationship of atomic algorithm calling by connecting lines, finally displaying by a directed graph with unidirectional arrow connecting lines, extracting component topological relation information, converting the component topological relation information into the dependency relationship among the atomic algorithm components, realizing the visualization of the atomic algorithm component dependency relationship, and displaying the analyzed attribute information;
according to the analyzed self-defined flow XML information, according to the atomic algorithm structure and the self-defined flow structure, and according to the connection relation between the atomic algorithm components generated by user operation, flow information reconstruction is realized;
and generating an algorithm component connected graph through the editing operation of a user on the algorithm component image, extracting a directed graph topological relation among the components, generating a logical flow XML file according to the algorithm structure and the flow structure, and realizing the visual construction of the user-defined flow information.
The second aspect of the present invention provides a visual customization system for a production process of a remote sensing product, comprising:
the algorithm component initialization module is used for mapping the atomic algorithm information into an atomic algorithm component image and visually displaying the XML file information of the atomic algorithm component by initializing the atomic algorithm component;
the flow information analysis module is used for analyzing the user-defined flow XML file into a visual image, the visual image comprises various component graphs, the precedence relationship of the atomic algorithm calling is expressed by connecting lines, finally, the visual image is displayed by a directed graph with one-way arrow connecting lines, the topological relationship information of the components is extracted and converted into the dependency relationship among the atomic algorithm components, the visualization of the dependency relationship of the atomic algorithm components is realized, and the analyzed attribute information is displayed;
the flow information reconstruction module is used for realizing flow information reconstruction according to the analyzed user-defined flow XML information, the atomic algorithm structure and the user-defined flow structure and the connection relation among the atomic algorithm components generated by user operation;
and the XML file generation module is used for generating an algorithm component connected with a directed graph through the editing operation of a user on the algorithm component image, extracting the directed graph topological relation among the components, generating a logical flow XML file according with the algorithm structure and the flow structure, and realizing the visual construction of the user-defined flow information.
The invention has the beneficial effects that: the invention combines atomic algorithm componentization and workflow technology, provides an XML driving remote sensing product driving model, and enables a production line to execute a remote sensing data processing algorithm by calling a user-defined remote sensing product processing flow, thereby producing the remote sensing product meeting the specific requirements of users.
By means of the advantages of strong universality, good cross-platform performance, convenience in maintenance and the like of Web application, the processing mode of traditional remote sensing product production is combined with the workflow technology, and a user can flexibly customize the remote sensing data processing flow under the multi-platform environment.
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The technical solution of the present application is further explained below with reference to the drawings and the embodiments.
FIG. 1 is a flow chart of a method of an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example 1
The embodiment provides a visual customization method for a production process of a remote sensing product, as shown in fig. 1, including:
s1, the atom algorithm information is mapped into an atom algorithm component image by initializing the atom algorithm component, and the XML file information of the atom algorithm component is visually displayed;
s2, analyzing the XML file of the user-defined flow as a visual image, wherein the visual image comprises various component graphs, expressing the precedence relationship called by the atomic algorithm through connecting lines, finally displaying the precedence relationship through a directed graph with unidirectional arrow connecting lines, extracting component topological relationship information, converting the topological relationship information into the dependency relationship among the atomic algorithm components, realizing the visualization of the atomic algorithm component dependency relationship, and displaying the analyzed attribute information;
s3, according to the analyzed self-defined flow XML information, according to the atom algorithm structure and the self-defined flow structure, and according to the connection relation between the atom algorithm components generated by the user operation, the flow information reconstruction is realized;
and S4, generating an algorithm component connected graph through the editing operation of the user on the algorithm component image, extracting the topological relation of the directed graphs among the components, generating a logical flow XML file according to the algorithm structure and the flow structure, and realizing the visual construction of the user-defined flow information.
The basic idea of remote sensing product production flow customization is to utilize existing atomic algorithms produced by some remote sensing products and form a new remote sensing product production algorithm flow by the existing atomic algorithms according to a combined form of 'building blocks'. In other words, the processing procedure of the production of the remote sensing product is converted into a customized production flow formed by organically combining a plurality of basic atomic algorithm components.
The essence of visualization is to convert various data information into proper graphic images to be displayed on a display by using the image processing technology of a computer.
The atomic algorithm component, cmp file and custom flow wfl file are stored in XML format, so in order to implement the customized visualization of the flow, a visualization framework of flow information stored in XML format is required (in this embodiment, mxGraph is used as the visualization framework), the atomic algorithm component, cmp file and custom flow wfl file are used as input, a DOM4j parser (used for reading and writing XML file) is used to extract information, a graph constructor constructs a graph model, and then visualization rendering is performed.
The invention combines the traditional processing mode of remote sensing product production with the workflow technology, and realizes that a user can flexibly customize the process of remote sensing data processing in a multi-platform environment.
Optionally, in this embodiment S1, the initializing step of the atomic algorithm includes:
and S11, acquiring the XML file of the atomic algorithm through the RPC service request.
S12, using DOM4j to parse the CMP file of each atomic algorithm, and extracting the attribute and parameter information of the atomic algorithm.
S13, the Algorithm Name attribute value of the atomic Algorithm is used as the id and the Name of the corresponding Algorithm component, the Algorithm component is drawn in the Algorithm component column, the mapping from the atomic Algorithm to the Algorithm component graph is completed, and finally the atomic Algorithm with XML information is displayed in an image mode.
Firstly, when a page of a visual customization platform of a production process of a remote sensing product is loaded, an xml file of an atomic algorithm is obtained through an RPC service request. Secondly, the CMP file of each atomic algorithm is parsed by using DOM4j, and the attribute and parameter information of the atomic algorithm are extracted. And finally, taking the Algorithm Name attribute value of the atomic Algorithm as the id and the Name of the corresponding Algorithm component, drawing the atomic Algorithm component in an atomic Algorithm component column, completing the mapping from the atomic Algorithm to the atomic Algorithm component, and finally displaying the Algorithm with the XML information in an image mode for a user to drag so as to prepare for the editing operation of the process.
Optionally, in this embodiment S2, the step of parsing the custom flow XML file into a visual image includes:
firstly, drawing corresponding process nodes in a process editor according to id of an atomic algorithm, then rendering a topological connection relation between two process nodes according to a dependency relation between the atomic algorithms, restoring a flow chart corresponding to a custom process file, and performing visual modification.
Optionally, in this embodiment S3, the process information reconstruction includes atomic algorithm component dragging, atomic algorithm component relationship visualization, and process editing information binding operations.
1, atomic Algorithm component drag operation
Because the mxGraph technology supports cross-browser dom events, the dragging operation can be processed corresponding to mxGraph internal events, and mxeventsources and graph events in mxGraph can be used for scheduling loops. A drag source element is created with the dom element so that the element can be dragged onto an editor and dropped into the editor as a new graphical drop. The implementation of the drag on node (makedragable) event is designed as the following steps,
(1) a given graph node constructs a new drag source (mxdagsource).
Firstly, creating a dom node as a dragging source, wherein the method is to refer to the draggable dom node as an element, reserve the dom node used for representing the dragging preview as a dragElement, copy the element and use the element for dragging the preview if the dom node used for representing the dragging preview is empty, and the process is equivalent to configuring a given dom node element as mxdRagSource serving as a specified graph.
(2) An action listener (addGestutureListeners) is used to listen for drag operations.
Monitoring the action (mouseDown) of pressing the mouse to obtain a drop target (getDropTarget) of the clicked graph and the coordinate, then monitoring the movement (mouseEvove) of the mouse, immediately starting a startDrag function and displaying a previewed dragElement, if monitoring the left button bounce (mouseUp) of the mouse, placing the current dragged target node (currentDropTarget) at the position below the mouse, and finally starting a stopTracg function to finish dragging. In this process, two important objects are mxdraggsource and makedragable, in short, mxdraggsource is the drag source object that causes the drag event, and makedragable is the listening object to the drag event.
2, visualization of relationships between Components
In the process of visualizing the relationship among the components, an action listener (addGestutureListeners) is used for monitoring the moving position of the mouse, and if the cursor moves to a cell element, whether the type of the cell is vertex is judged.
If the position captured by the cursor is above a vertex node, acquiring the connection state (connectable) of the vertex node, and judging whether the vertex node can be connected.
② if the connection status of this vertex node is not connectable (false), setconnectible attribute is set connectable and the port of the node is reset, highlighting the port as connectable.
At this time, in an Editor object mxEditor in an Editor panel (drawpanel canvas), the existing vertex node element is used as a starting point source of the connecting line, when a mouseDown is monitored, dragging is indicated, and meanwhile, a mouseMove event is triggered to start drawing the Edge along with the movement of the Editor object.
When the action listener (addGestutureListeners) monitors the position of the mouse movement and next cell element, the first three steps are repeated, at this time, the second vertex node element is taken as the target point target of the connecting line in the editor object mxEditor in the editor panel (drawPanelcanvas), and one end point of the target is captured,
when the mouseUp is monitored, an mxConnectionHandler event of the mxGraph is triggered, so that the drawing of the connecting line of the flow node is completed, and the dependency relationship between the algorithm components can be easily obtained through the two attributes of source and target.
3, information binding
Because the algorithm components in the visual online process customization platform can be visualized as graphs and represent related algorithm information, the problem of binding corresponding parameter information during graph connection needs to be solved. Namely, dragging the atomic algorithm components in the component bar to a drawing panel of a flow editor, and binding algorithm parameter information of the graph. Specific solutions to this problem are described below.
Inputting the whole image object graph and the changed graphic object ArrayCells.
And outputting the image object graph with the changed image object.
Optionally, the visualization implementation method of the dependency relationship of the atomic algorithm component includes:
analyzing a custom XML flow file, extracting dependency relationship attributes among atomic algorithm components, and establishing mapping between algorithm dependency relationship and flow node topological relationship, wherein the dependency relationship attributes comprise a precursor atomic algorithm and a successor atomic algorithm, the precursor atomic algorithm corresponds to a precursor flow node in a flow chart, and the successor atomic algorithm corresponds to a successor flow node in the flow chart;
adding a connecting line Edge class to the predecessor process node and the successor process node Cells, setting a source attribute value of the Edge class as dependedlg, and setting a target attribute value as AlgName, thereby realizing the directed connection of the predecessor process node and the successor process node.
The process XML file generation in this embodiment is to convert the edited visual image into XML information, that is, visual inverse operation, specifically to extract the topological relation of the directed graph and convert the topological relation into the dependency relation between atomic algorithms, and then to describe the information in an XML format.
The flow nodes inherit to the vertex class of the mxGraph, and the connecting lines between the flow nodes inherit to the Edge class of the mxGraph. The method mainly comprises the steps of analyzing a custom flow file to extract dependency relationships among algorithm components, wherein the dependency relationships have two values: DependAlg, and AlgName. The dependelg represents a precursor atom algorithm, and a precursor flow node corresponds to the precursor flow node in the flow chart. The AlgName represents a subsequent atom algorithm, and the nodes of the subsequent flow correspond to the nodes of the subsequent flow in the flow chart. Thus, the mapping of the algorithm dependency relationship and the process node topological relationship is established. The visualization process is to add a connecting line Edge class to a pair of process node Edge classes, set the source attribute value of the Edge class as dependedlg, and set the target attribute value as AlgName, so that the directed connection of the process nodes is realized.
After the two process nodes are connected by using the directed connecting line, the arrow of each connecting line in the user-defined flow chart records the process nodes connected with the two ends of the connecting line through the source attribute and the target attribute of the arrow, and the storage process of the process xml file is the reverse engineering of the visualization process by extracting the information.
Example 2:
the embodiment provides a visual customization system of remote sensing product production flow, including:
the algorithm component initialization module is used for mapping the atomic algorithm information into an atomic algorithm component image and visually displaying the XML file information of the atomic algorithm component by initializing the atomic algorithm component;
the flow information analysis module is used for analyzing the user-defined flow XML file into a visual image, the visual image comprises various component graphs, the precedence relationship of the atomic algorithm calling is expressed by connecting lines, finally, the visual image is displayed by a directed graph with one-way arrow connecting lines, the topological relationship information of the components is extracted and converted into the dependency relationship among the atomic algorithm components, the visualization of the dependency relationship of the atomic algorithm components is realized, and the analyzed attribute information is displayed;
the flow information reconstruction module is used for realizing flow information reconstruction according to the analyzed user-defined flow XML information, the atomic algorithm structure and the user-defined flow structure and the connection relation among the atomic algorithm components generated by user operation;
and the XML file generation module is used for generating an algorithm component connected with a directed graph through the editing operation of a user on the algorithm component image, extracting the directed graph topological relation among the components, generating a logical flow XML file according with the algorithm structure and the flow structure, and realizing the visual construction of the user-defined flow information.
Optionally, the algorithm initialization module is further configured to:
obtaining an XML file of an atomic algorithm through an RPC service request;
analyzing the CMP file of each atomic algorithm, and extracting the attribute and parameter information of the atomic algorithm;
and taking the Algorithm Name attribute value of the atomic Algorithm as the id and the Name of the corresponding Algorithm component, drawing the Algorithm component in an Algorithm component column, completing the mapping from the atomic Algorithm to the Algorithm component graph, and finally realizing that the atomic Algorithm with the XML information is displayed in an image mode.
Optionally, the flow information analysis module includes a visualization unit, configured to:
drawing corresponding process nodes in a process editor according to the id of the atomic algorithm, and then rendering the topological connection relation between the two process nodes according to the dependency relation between the atomic algorithms, recovering the flow chart corresponding to the user-defined process file, and performing visual modification.
Optionally, the process information reconstruction includes atomic algorithm component dragging, atomic algorithm component relationship visualization, and process editing information binding operations.
Optionally, the XML file generating module is further configured to:
analyzing a custom XML flow file, extracting dependency relationship attributes among atomic algorithm components, and establishing mapping between algorithm dependency relationship and flow node topological relationship, wherein the dependency relationship attributes comprise a precursor atomic algorithm and a successor atomic algorithm, the precursor atomic algorithm corresponds to a precursor flow node in a flow chart, and the successor atomic algorithm corresponds to a successor flow node in the flow chart;
adding a connecting line Edge class to the predecessor process node and the successor process node Cells, setting a source attribute value of the Edge class as dependedlg, and setting a target attribute value as AlgName, thereby realizing the directed connection of the predecessor process node and the successor process node.
Please refer to embodiment 1 for a specific implementation manner of this embodiment.
The following describes a specific application example of the present invention:
the visual flow customization system adopts a uniform user interface, and the operation interface mainly comprises: a component panel, a my flow panel, a canvas, a flow editing toolbar, and a property panel.
The component panel divides the component into a general component, a third-level component, a fourth-level component and a fifth-level component; the three-level/four-level/five-level components are respectively divided into platform/shared/personal components; the component provides for the user to drag to the canvas.
The operation corresponding to each flow record in the my flow panel is editing and deleting, the my flow panel has a retrieval function, and a user retrieves the required flow record according to the keywords.
The canvas is a part for dragging, editing and connecting the atomic algorithm by a user.
The attribute panel records the process attribute, and the process attribute information can be configured when the process is customized.
When a user clicks a new task and inputs data to be downloaded, the proxy scheduling server inquires whether the request exists in the server according to the request input by the user; if yes, the user downloads the data from the proxy server directly; if not, the proxy server queries other proxy servers and the central server, and downloads data from the nodes according to the query result.
The process of creating a production flow of a remote sensing product is as follows:
first, select a component, drag the algorithm component in the component bar to the canvas.
And secondly, editing the flow chart.
Editing rules of the flow chart: the flow chart starts with an input component, ends with an output component, and is connected with one or more algorithm components.
Connecting a line: and placing the mouse at the center of the component, and dragging the mouse to the center of the component to be connected by long pressing a right button when the mouse is changed into a hand shape.
And if the components need to be deleted, selecting the components needing to be deleted on the canvas, and pressing a [ delete ] key.
The third step: and configuring the flow attribute.
And configuring a process name, a process type, a process Chinese name, a process description product name, a product Chinese name, a product description and a product classification by a user according to needs.
Input parameters of the process: and the algorithm component is generated in a linkage manner when being connected with the input components.
Output parameters of the process: and when the algorithm component is connected with the Outputs component, linkage generation is carried out.
The fourth step: and (4) storing (detecting).
Clicking a 'save (detect)' button, after the process information is detected to be in compliance by the system, customizing a data table of the custom process stored in a database, and then displaying the customized data table in the my process list in the picture.
The fifth step: the canvas information is emptied, as is the attribute information.
In light of the foregoing description of the preferred embodiments according to the present application, it is to be understood that various changes and modifications may be made without departing from the spirit and scope of the invention. The technical scope of the present application is not limited to the contents of the specification, and must be determined according to the scope of the claims.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (10)
1. A visual customization method for a production process of a remote sensing product is characterized by comprising the following steps:
by initializing the atomic algorithm component, mapping the atomic algorithm information into an atomic algorithm component image, and visually displaying the XML file information of the atomic algorithm component;
analyzing the XML file of the user-defined flow as a visual image, wherein the visual image comprises various component graphs, expressing the precedence relationship of atomic algorithm calling by connecting lines, finally displaying by a directed graph with unidirectional arrow connecting lines, extracting component topological relation information, converting the component topological relation information into the dependency relationship among the atomic algorithm components, realizing the visualization of the atomic algorithm component dependency relationship, and displaying the analyzed attribute information;
according to the analyzed self-defined flow XML information, according to the atomic algorithm structure and the self-defined flow structure, and according to the connection relation between the atomic algorithm components generated by user operation, flow information reconstruction is realized;
and generating an algorithm component connected graph through the editing operation of a user on the algorithm component image, extracting a directed graph topological relation among the components, generating a logical flow XML file according to the algorithm structure and the flow structure, and realizing the visual construction of the user-defined flow information.
2. The visual customization method of the production process of remote sensing products according to claim 1, wherein the initialization step of the atomic algorithm comprises:
and acquiring an XML file of the atomic algorithm through the RPC service request.
The CMP file for each atomic algorithm is parsed using DOM4j, extracting the attribute and parameter information for the atomic algorithm.
And taking the Algorithm Name attribute value of the atomic Algorithm as the id and the Name of the corresponding Algorithm component, drawing the Algorithm component in an Algorithm component column, completing the mapping from the atomic Algorithm to the Algorithm component graph, and finally realizing that the atomic Algorithm with the XML information is displayed in an image mode.
3. The visual customization method of remote sensing product production flow according to claim 1, wherein the step of parsing the custom flow XML file into a visual image comprises:
firstly, drawing corresponding process nodes in a process editor according to id of an atomic algorithm, then rendering a topological connection relation between two process nodes according to a dependency relation between the atomic algorithms, restoring a flow chart corresponding to a custom process file, and performing visual modification.
4. The visual customization method of the remote sensing product production process according to claim 1, wherein the process information reconstruction includes atomic algorithm component dragging, atomic algorithm component relationship visualization, and process editing information binding operations.
5. The visual customization method of the remote sensing product production process according to claim 4, characterized in that the visual implementation method of the atomic algorithm component dependency relationship is as follows:
analyzing a custom XML flow file, extracting dependency relationship attributes among atomic algorithm components, and establishing mapping between algorithm dependency relationship and flow node topological relationship, wherein the dependency relationship attributes comprise a precursor atomic algorithm and a successor atomic algorithm, the precursor atomic algorithm corresponds to a precursor flow node in a flow chart, and the successor atomic algorithm corresponds to a successor flow node in the flow chart;
adding a connecting line Edge class to the predecessor process node and the successor process node Cells, setting a source attribute value of the Edge class as dependedlg, and setting a target attribute value as AlgName, thereby realizing the directed connection of the predecessor process node and the successor process node.
6. A visual customization system of a production process of a remote sensing product, comprising:
the algorithm component initialization module is used for mapping the atomic algorithm information into an atomic algorithm component image and visually displaying the XML file information of the atomic algorithm component by initializing the atomic algorithm component;
the flow information analysis module is used for analyzing the user-defined flow XML file into a visual image, the visual image comprises various component graphs, the precedence relationship of the atomic algorithm calling is expressed by connecting lines, finally, the visual image is displayed by a directed graph with one-way arrow connecting lines, the topological relationship information of the components is extracted and converted into the dependency relationship among the atomic algorithm components, the visualization of the dependency relationship of the atomic algorithm components is realized, and the analyzed attribute information is displayed;
the flow information reconstruction module is used for realizing flow information reconstruction according to the analyzed user-defined flow XML information, the atomic algorithm structure and the user-defined flow structure and the connection relation among the atomic algorithm components generated by user operation;
and the XML file generation module is used for generating an algorithm component connected with a directed graph through the editing operation of a user on the algorithm component image, extracting the directed graph topological relation among the components, generating a logical flow XML file according with the algorithm structure and the flow structure, and realizing the visual construction of the user-defined flow information.
7. The visual customization method of the remote sensing product production process according to claim 6, wherein the algorithm initialization module is further configured to:
and acquiring an XML file of the atomic algorithm through the RPC service request.
The CMP file for each atomic algorithm is parsed using DOM4j, extracting the attribute and parameter information for the atomic algorithm.
And taking the Algorithm Name attribute value of the atomic Algorithm as the id and the Name of the corresponding Algorithm component, drawing the Algorithm component in an Algorithm component column, completing the mapping from the atomic Algorithm to the Algorithm component graph, and finally realizing that the atomic Algorithm with the XML information is displayed in an image mode.
8. The visual customization method of the remote sensing product production process according to claim 6, wherein the process information parsing module comprises a visualization unit configured to:
drawing corresponding process nodes in a process editor according to the id of the atomic algorithm, and then rendering the topological connection relation between the two process nodes according to the dependency relation between the atomic algorithms, recovering the flow chart corresponding to the user-defined process file, and performing visual modification.
9. The visual customization method of the remote sensing product production process according to claim 6, wherein the process information reconstruction includes atomic algorithm component dragging, atomic algorithm component relationship visualization, and process editing information binding operations.
10. The visual customization method of the remote sensing product production process according to claim 6, wherein the XML file generation module is further configured to:
analyzing a custom XML flow file, extracting dependency relationship attributes among atomic algorithm components, and establishing mapping between algorithm dependency relationship and flow node topological relationship, wherein the dependency relationship attributes comprise a precursor atomic algorithm and a successor atomic algorithm, the precursor atomic algorithm corresponds to a precursor flow node in a flow chart, and the successor atomic algorithm corresponds to a successor flow node in the flow chart;
adding a connecting line Edge class to the predecessor process node and the successor process node Cells, setting a source attribute value of the Edge class as dependedlg, and setting a target attribute value as AlgName, thereby realizing the directed connection of the predecessor process node and the successor process node.
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