CN113360594B - Catchment area extraction method, device, equipment and medium based on digital elevation model - Google Patents
Catchment area extraction method, device, equipment and medium based on digital elevation model Download PDFInfo
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Abstract
The application provides a catchment area extraction method, device, equipment and medium based on a digital elevation model, and relates to the technical field of hydrologic analysis. The method comprises the following steps: according to the target range and the target data precision set by the user, requesting a digital elevation model of the target data precision in the target range from a server; according to the accuracy of the target data, performing terrain grid division on the target range to obtain a terrain grid of the target range; mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain a target terrain grid; carrying out depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm to obtain depression boundary information; and drawing the graphic vector according to the depression boundary information. The method can utilize the digital elevation model of the target data precision in the target range to realize the extraction of the catchment area of the target range and the drawing of the graphic vector, and fills the blank of the field research of hydrologic analysis by utilizing the digital elevation model data.
Description
Technical Field
The invention relates to the technical field of hydrologic analysis, in particular to a catchment area extraction method, device, equipment and medium based on a digital elevation model.
Background
With the continuous change of global climate conditions, the economic and social development is gradually changed, the hydrologic environment presents new characteristics under the new age background, and taking China as an example, the water-related disasters integrally present the characteristics of multiplying the floods and droughts, frequent disasters, increased strength and deepening degree, and the hydrogeology problem is often ignored, so that a lot of difficulties and inconvenience are brought to construction, and even serious engineering disasters are caused. In this case, it is particularly important to extract and analyze the catchment area by using modern geographic information processing technology.
The digital elevation model (Digital Elevation Model), abbreviated as DEM, is a physical ground model which uses a group of ordered value array to represent the ground elevation, is a branch of a digital terrain model (Digital Terrain Model, abbreviated as DTM) and can derive other various terrain characteristic values. At present, aiming at the DEM data analysis and visualization method, the method mainly focuses on contour lines, gradient, earthwork calculation and the like, but the catchment area analysis and visualization of hydrologic analysis by utilizing the DEM data are not yet available, and the catchment area analysis and visualization is to be supplemented.
Disclosure of Invention
The application aims to overcome the defects in the prior art and provide a method, a device, equipment and a medium for extracting a catchment area based on a digital elevation model so as to analyze the catchment area of hydrologic analysis by using DEM data and fill the research blank in the field.
In order to achieve the above purpose, the technical scheme adopted by the embodiment of the application is as follows:
in a first aspect, an embodiment of the present application provides a method for extracting a catchment area based on a digital elevation model, where the method includes:
according to a target range and target data precision set by a user, requesting a digital elevation model of the target data precision in the target range from a server;
according to the target data precision, performing terrain grid division on the target range to obtain a terrain grid of the target range;
mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain a target terrain grid;
carrying out depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm to obtain depression boundary information;
and drawing a graphic vector according to the depression boundary information.
Optionally, before the digital elevation model of the target data precision in the target range is requested according to the target range and the target data precision set by the user, the method further includes:
Acquiring the target data precision set by the user through an interface;
and determining the target range according to the range drawing operation of the user through acting on the topographic map displayed on the interface.
Optionally, before the digital elevation model of the data precision in the target range is requested according to the target range and the data precision set by the user, the method further includes:
obtaining the visual configuration parameters set by the user through an interface;
and carrying out graphic vector drawing according to the depression boundary information, wherein the graphic vector drawing comprises the following steps:
and drawing a graphic vector according to the depression boundary information and the visual configuration parameters.
Optionally, the visual configuration parameters include: minimum node number and drawing mode;
and performing graphic vector drawing according to the depression boundary information and the visual configuration parameters, wherein the graphic vector drawing comprises the following steps:
according to the depression boundary information, determining the depression areas with the number of geographic positions larger than or equal to the minimum node number as target depression areas;
and drawing the graphic vector indicated by the drawing mode in the target depression area.
Optionally, the drawing, in the target depression area, the graphics vector indicated by the drawing mode includes:
An entity that draws a graphics vector indicated by the drawing pattern in the target depression area;
and rendering the material of the entity of the graphic vector according to the preset dynamic liquid material.
Optionally, the entity for drawing the graphic vector indicated by the drawing mode in the target depression area includes:
and creating an entity of the graphic vector according to the geographic position information of the target depression area, the elevation data corresponding to the geographic position information and the type of the graphic vector indicated by the drawing mode.
Optionally, in any one of the above methods for extracting a catchment area based on a digital elevation model, the digital elevation model of the target data accuracy within the target range is: and resampling the matched digital elevation model of the target range by the server to obtain a digital elevation model with the accuracy of the target data accuracy.
In a second aspect, an embodiment of the present application further provides a catchment area extraction device based on a digital elevation model, where the device includes:
the request module is used for requesting a digital elevation model of the target data precision in the target range from a server according to the target range and the target data precision set by a user;
The dividing module is used for dividing the terrain grids of the target range according to the data precision to obtain the terrain grids of the target range;
the mapping module is used for mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain a target terrain grid;
the depression extraction module is used for extracting the depressions of the target terrain grid by adopting a preset depression extraction algorithm to obtain depression boundary information;
and the drawing module is used for drawing the graphic vector according to the depression boundary information.
In a third aspect, an embodiment of the present application further provides a computer apparatus, including: the system comprises a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, when the computer equipment runs, the processor and the storage medium are communicated through the bus, and the processor executes the program instructions to execute the steps of the catchment area extraction method based on the digital elevation model in any one of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor performs the steps of the method for extracting a catchment area based on a digital elevation model according to any one of the previous aspects.
The beneficial effects of the application are as follows: in the method, the user sets the target range and the target data precision according to the own needs, thereby not only meeting the requirements of the user on the flexibility and the degree of freedom of the setting of the area for extracting and analyzing the catchment area, but also avoiding the operation resource waste caused by the fact that the operation data quantity possibly brought by configuring the same data precision by the system is lower than the actual analysis requirement or the operation quantity is overlarge. In addition, the method can utilize the digital elevation model of the target data precision in the target range to realize the extraction of the catchment area of the target range and the graphic vector drawing, and fills the blank of the field research of hydrologic analysis by utilizing the digital elevation model data.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for extracting a catchment area based on a digital elevation model according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a setup target area according to an embodiment of the application;
FIG. 3 is a schematic view of a terrain mesh division according to an embodiment of the present application;
FIG. 4 is a flow chart of a method for extracting a catchment area based on a digital elevation model according to another embodiment of the present application;
FIG. 5 is a flow chart of a method for extracting a catchment area based on a digital elevation model according to still another embodiment of the present application;
FIG. 6 is a flow chart of a method for extracting a catchment area based on a digital elevation model according to still another embodiment of the present application;
FIG. 7 is a flow chart of a method for extracting a catchment area based on a digital elevation model according to a further embodiment of the present application;
FIG. 8 is a schematic diagram of a rendering result of a catchment area according to a catchment area extraction method based on a digital elevation model according to a third embodiment of the present application;
FIG. 9 is a schematic diagram of boundary point patterns of a catchment area extraction method based on a digital elevation model according to a fourth embodiment of the present application;
FIG. 10 is a schematic diagram of a catchment area model of a catchment area extraction method based on a digital elevation model according to a fourth embodiment of the present application;
FIG. 11 is a schematic diagram of radial flow patterns of a catchment area extraction method based on a digital elevation model according to a fourth embodiment of the present application;
FIG. 12 is a schematic diagram of a catchment area extraction device based on a digital elevation model according to an embodiment of the present application;
fig. 13 is a schematic diagram of a computer device according to an embodiment of the application.
Legend: 121-request module; 122-dividing module; 123-a mapping module; 124-a depression extraction module; 125-a drawing module; 131-a processor; 132-storage medium.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The following detailed description of the application, provided in the accompanying drawings, is not intended to limit the scope of the application as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, unless specifically defined otherwise.
The digital elevation model-based catchment area extraction method, device, equipment and medium provided by the application are exemplified by a plurality of examples as follows. Fig. 1 is a flowchart of a catchment area extraction method based on a digital elevation model according to an embodiment of the present application. The method can be implemented by a computer device, such as a personal digital assistant (personal digital assistant, PDA), a vehicle-mounted computer, a desktop computer, a notebook computer, a smart television, and the like, which can run the program of the present application, by running a preset catchment area extraction program. As shown in fig. 1, the method for extracting a catchment area based on a digital elevation model may include:
step 101: and according to the target range and the target data precision set by the user, requesting a digital elevation model of the target data precision in the target range from the server.
The target range may be a geographical range formed by geographical position coordinates input by the user through the interface, or may be a geographical range selected by the user through the interface. The position coordinates of the target range can be expressed by longitude and latitude coordinates, and then the target range actually comprises: a geographic range consisting of a longitude range and a latitude range. The longitude range may be 120 degrees, 52 minutes, or 12 minutes, or 122 degrees, and the latitude range may be 30 degrees, 40 minutes, or 53 minutes. A user can select a target range with a proper size according to actual analysis requirements, for example, the user can set a geographic range with a length of 10 meters and a width of 7 meters as the target range when the user needs to extract a water catchment area in a small range; when a user analyzes a catchment area of a large basin, a geographical range of 10 km long and 7 km wide can be set as a target range. The specific size of the target range is not limited in the present application, and the size of the target range may be other area sizes in the practical application scenario.
The target data accuracy may also be set by the user to characterize the degree of refinement of the data statistics within the target range, which may also be referred to as granularity or other similar descriptions. It should be noted that, the target data precision indicates the data precision within the target range set by the user, that is, the precision of the geographic position within the target range, which can be understood as the minimum value of the distance between two position points in the target range, so that the larger the value of the target data precision, the fewer the position points on the unit area, and the lower the refinement degree; the larger the value of the target data accuracy, the more position points on the unit area, and the higher the degree of refinement. For example, the target range set by the user is G1, where G1 is a rectangular area with a length of a kilometer and a width of b kilometers, and the target data precision is set to 0.01 kilometer, a/0.01 position points are selected in the length direction, b/0.01 position points are selected in the width direction, and (a/0.01) and (b/0.01) position points are selected in total; if the target data precision is set to be 1 km, a/1 position points are selected in the length direction, b/1 position points are selected in the width direction, and (a/1) position points are selected together. It can be seen that the smaller the value of the target data precision is, the more the position points on the unit area are, and the larger the data amount to be calculated is, so that the user needs to balance the relation between the calculation amount and the calculation precision in use, and select the appropriate target data precision. In addition, it should be noted that there may be various ways for the user to set the target data precision, for example, the user may input a corresponding numerical value in the input box of the related target data precision; for another example, the user may choose among a range of system-presented target data accuracies; the application does not limit the setting mode of the target data precision.
After the user sets the target range and the target data accuracy, a request message containing the target range and the target data accuracy may be sent to the server, and the server determines a digital elevation model of the target data accuracy within the target range after receiving the request message. It should be noted that at least one set of digital elevation models may be stored in the server in advance. If the precision of the target data set by the user is not consistent with the model precision of the digital elevation model stored in the server, the server is required to perform correlation operation and then output the digital elevation model consistent with the precision of the target data. That is, in one example, the server may look up a digital elevation model that meets the target range and target data accuracy directly from the pre-stored digital elevation model; if the digital elevation model meeting the target range and the target data precision can be found, the digital elevation model can be returned to the computer equipment; if the digital elevation model meeting the target range and the target data precision is not found, the digital elevation model closest to the found target is processed, so that the digital elevation model meeting the target range and the target data precision is obtained, and then the digital elevation model is returned to the computer equipment.
Step 102: and according to the target data precision, performing terrain grid division on the target range to obtain the terrain grid of the target range.
The terrain mesh of the target range can be obtained through the division of the terrain mesh, and the terrain mesh comprises a plurality of meshes with the same size.
The above-mentioned dividing method of the terrain mesh division corresponds to the rectangle setting method of the target range: for example, the user sets a geographical rectangular range of longitude and latitude ranges, and each grid in the divided terrain grids is a geographical rectangular grid divided according to longitude and latitude.
Step 103: and mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain the target terrain grid.
After the terrain mesh with the target range is obtained in step 102, in the terrain mesh, the four vertices of each mesh have their corresponding geographic position coordinates, and each geographic position in the digital elevation model has corresponding elevation data, so that the geographic positions of the vertices in the mesh and the geographic positions of the digital elevation model can be in one-to-one correspondence to obtain elevation data of the geographic positions of the vertices in the digital elevation model, and then the terrain mesh and the digital elevation model are superimposed to map the elevation data of the geographic positions of the vertices in the digital elevation model to the positions of the vertices in the terrain mesh, thereby obtaining the target terrain mesh. That is, in the target terrain mesh, there are both the divided geographic positions of the mesh and elevation data of each geographic position.
Step 104: and carrying out depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm to obtain depression boundary information.
The depression can be subjected to edge detection by utilizing a depression extraction algorithm, so that depression boundary information is obtained. It should be noted that, the above-mentioned depression extraction algorithm can be implemented by using multiple programming languages, such as C language, python, etc., and the implementation language and implementation manner of the depression extraction algorithm are not limited in the present application.
Step 105: and drawing the graphic vector according to the depression boundary information.
According to the depression boundary information extracted in step 104, the user may select a drawing mode of the graphics vector on the computer device, so as to obtain a vector graphic of the corresponding drawing mode, where the drawing mode may be represented by a dot, a line (e.g., a boundary line), a plane, and the like, which is not limited in this application.
In a specific application example, as shown in fig. 2, fig. 2 is a schematic diagram of setting a target area according to an embodiment of the present application, a user displays a target area to be selected on an interface in a proper size according to actual operation and analysis requirements, in the interface shown in fig. 2, a part with a mountain range below in fig. 2 can be seen as a continental module, and a blank part above is a water area; after the display range is adjusted, the target area is selected, that is, the target area is selected by using a black frame, and in fig. 2, the selected range of the black frame is a geographical range formed by the longitude range and the latitude range. Next, the user inputs the target data precision of 0.01 km in the input box of the corresponding target data precision. The computer equipment used by the user requests a digital elevation model of the target data precision in the black frame range from the server according to the target range and the target data precision set by the user; as shown in fig. 3, fig. 3 is a schematic diagram of land grid division provided in an embodiment of the present application, where land grid division is performed on a target range according to a target data precision of 0.01 km set by a user, the land grid of the obtained target range is an image obtained by dividing a weft every 0.01 km in a precision direction and a warp every 0.01 km in a latitude direction; in the terrain grid of fig. 3, four vertices of each grid have their corresponding geographic coordinate positions, and the geographic coordinate positions of the vertices are in one-to-one correspondence with the geographic coordinate positions of each data in the digital elevation model returned by the server, so as to obtain the target terrain grid. Carrying out depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm to obtain depression boundary information; and drawing the graphic vector by using the obtained boundary information according to the depression.
According to the catchment area extraction method based on the digital elevation model, the digital elevation model of the target data precision in the target range is requested to the server according to the target range and the target data precision set by the user; according to the accuracy of the target data, performing terrain grid division on the target range to obtain a terrain grid of the target range; mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain a target terrain grid; carrying out depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm to obtain depression boundary information; and drawing the graphic vector according to the depression boundary information. In the method, the user sets the target range and the target data precision according to the own needs, thereby not only meeting the requirements of the user on the flexibility and the degree of freedom of the setting of the area for extracting and analyzing the catchment area, but also avoiding the operation resource waste caused by the fact that the operation data quantity possibly brought by configuring the same data precision by the system is lower than the actual analysis requirement or the operation quantity is overlarge. In addition, the method can utilize the digital elevation model of the target data precision in the target range to realize the extraction of the catchment area of the target range and the graphic vector drawing, and fills the blank of the field research of hydrologic analysis by utilizing the digital elevation model data.
Optionally, on the basis of the catchment area extraction method based on the digital elevation model shown in fig. 1, the embodiment of the application further provides a possible implementation example of the catchment area extraction method based on the digital elevation model. Fig. 4 is a flowchart of a catchment area extraction method based on a digital elevation model according to another embodiment of the present application. Before requesting the digital elevation model of the target data precision in the target range according to the target range and the target data precision set by the user, the method further comprises:
step 401: and acquiring the target data precision set by the user through the interface.
It should be noted that, the user may set through the interface of the computer device, or may set through touch operation on the interface of the computer device with a touch function, or may use peripheral devices such as a mouse and a keyboard to operate related setting buttons or a filling frame on the interface, which is not limited by the comparison of the present application.
Step 402: the target range is determined according to a range drawing operation by the user through a topographic map displayed on the interface.
The user performs a range drawing operation on the topographic map displayed on the interface, and in one possible implementation manner, the user selects an area to be calculated on the topographic map by utilizing touch or mouse click to drag an operation box, so as to determine a target range; in another possible implementation, the user may input latitude and longitude coordinates of at least two diagonal vertices, thereby more accurately determining the target range.
There are various display modes of the topographic map displayed on the interface, for example, the topographic map displayed on the interface may be a virtual topographic model, that is, displayed in the form of a three-dimensional map, and the user may display the target area on the interface in a suitable size through operations such as zooming in, zooming out, rotating, and the like, so as to determine the target range. For another example, the topographic map displayed on the interface may be a remote sensing image, and the user may adjust the size of the remote sensing image range by adjusting the scale of the remote sensing image to determine the target range. The above description is merely an example of a mode of displaying a topographic map and a specific manner of setting a target range on the topographic map, and the present application is not limited to the mode of displaying a topographic map and the specific manner of setting a target range on a topographic map. In one possible implementation, the topographic map is displayed in the form of a remote sensing image on the interface, so that the memory occupation of the remote sensing image is small, and the quick response of the system is facilitated; in another possible implementation manner, the topography map is displayed in the form of a virtual topography model on the interface, and the virtual topography model can be set by means of the virtual earth model, so that the influence of longitude and latitude brought by the characteristics of the ellipsoid of the earth itself is considered by the virtual topography waveform of the three-dimensional topography map mode, and a user is more visual when framing a target range.
In a specific application example, a user inputs a target data precision on an interface through a keyboard, for example, the target data precision is 0.01 km, then clicks a button for drawing a target range, clicks a drag operation through a mouse on a topographic map of a remote sensing image type of the interface after the clicking operation is completed, and frames a target range with a longitude range of 120 degrees to 122 degrees 12 minutes east longitude and a latitude range of 30 degrees 40 minutes north latitude to 31 degrees 53 minutes north latitude.
The user completes the setting of the target data precision and the selection of the target range area through the operation on the interface, the interface display is visual and vivid, the operation is simple and flexible, and the method is friendly to the user.
Optionally, on the basis of the catchment area extraction method based on the digital elevation model shown in fig. 1, the embodiment of the application further provides a possible implementation example of the catchment area extraction method based on the digital elevation model. Fig. 5 is a flowchart of a catchment area extraction method based on a digital elevation model according to still another embodiment of the present application. Before requesting the digital elevation model of the data precision in the target range according to the target range and the data precision set by the user, the method further comprises:
Step 501: and obtaining visual configuration parameters set by a user through an interface.
The user can configure relevant parameters of the visual configuration on the interface, and it is to be noted that the visual configuration has various configuration choices, which are configurations used in the final graphic vector drawing, such as point configuration, rectangular configuration, minimum node number, drawing mode, etc., and in a specific use scenario, the user can set the corresponding visual configuration parameters according to the needs of the user. In addition, in one possible implementation manner, the user selects specific configuration parameters of the corresponding configuration on the interface in a touch or mouse click manner, so as to complete preparation operation of the visual configuration; in another possible implementation, the user inputs the specific parameter values of the corresponding visual configuration parameters using a keyboard or a tablet or the like.
According to the depression boundary information, graphic vector drawing is carried out, and the method specifically comprises the following steps:
step 502: and drawing the graphic vector according to the depression boundary information and the visual configuration parameters.
And (5) completing graphic vector drawing by using the depression boundary information obtained in the step (104) and combining the visual configuration parameters set by the user in the step (501).
In a specific application example, a user can set corresponding visual configuration parameters according to the needs of the user, for example, the user can click to select a catchment area according to analysis needs of the user, set relevant parameters drawn by the catchment area, and further obtain a drawn graphic vector.
The user can configure the visual configuration parameters according to the self needs, so that the output graphic vector better meets the actual analysis requirements of the user.
Optionally, on the basis of the catchment area extraction method based on the digital elevation model shown in fig. 5, an embodiment of the present application further provides a possible implementation example of the catchment area extraction method based on the digital elevation model. Fig. 6 is a flowchart of a catchment area extraction method based on a digital elevation model according to still another embodiment of the present application. Wherein the visualized configuration parameters include: minimum node number and drawing mode;
according to the depression boundary information and the visual configuration parameters, drawing the graphic vector, including:
step 601: and determining the depression areas with the number of the geographic positions being greater than or equal to the minimum node number as target depression areas according to the depression boundary information.
And (5) extracting the boundary information by using the depression boundary information obtained in the step (104) to determine the depression area in the target range. In one possible implementation manner, a region growing algorithm may be used to perform region filling, determine a depression region, that is, determine the position of a seed point in a region surrounded by a depression boundary, determine whether the seed point position and 8 neighboring regions around the seed point position have a depression boundary, if there is a depression boundary in a certain direction, stop the growth in the direction, use other neighboring regions except the neighboring region where the boundary is located as seed points for the growth at this time, and continuously circulate the method until the region surrounded by the entire depression boundary is completely filled. The foregoing possible implementation is merely illustrative, and in an actual application scenario, the identification of the depression area may also be accomplished by using the gray level and similar properties of the image, which is not limited by the present application.
The number of nodes represents the number of geographic positions in the extracted depressed areas, a threshold value for generating the vector is determined by configuring the minimum number of nodes, namely, the depressed areas with the number of geographic positions smaller than the minimum number of nodes set by the user in the depressed areas which do not affect the analysis result of the user but increase the system operation amount are filtered through parameter adjustment of the minimum number of nodes, namely, when the graphic vector drawing is finally carried out, the depressed areas with the number of geographic positions larger than the minimum number of nodes set by the user in the depressed areas are determined as the depressed areas for drawing the graphic vector, and the depressed areas with the number of geographic positions smaller than the minimum number of nodes set by the user in the depressed areas are not the depressed areas for drawing the graphic vector, and the depressed areas are ignored. In one possible implementation manner, a depression area with a geographic position smaller than the minimum node number set by the user can be filled up so as to be moved out of the area to be drawn; in another possible implementation, a filter may be utilized to filter a depression area having a number of geographic locations less than a minimum number of nodes set by the user. The method is not limited in the manner of moving the depression areas with the number of geographic positions smaller than the minimum number of nodes set by the user out of the area to be drawn. For example, if the minimum node number set by the user is 10, when the number of geographic locations in the first depression extracted by the depression extraction algorithm is 5, because the number of geographic locations in the first depression 5 is smaller than the minimum node number set by the user by 10, the first depression is not within the analysis range of the user, i.e. the first depression is not a depression area of the graphic vector to be drawn; when the number of geographic positions in the second depression area extracted by the depression extraction algorithm is 100, because the number of geographic positions of the second depression 100 is greater than the minimum node number 10 set by the user, the second depression is in the analysis range of the user, that is, the first depression is the depression area of the graphic vector to be drawn.
Step 602: and drawing the graphic vector indicated by the drawing mode set by the user in the target depression area.
The drawing pattern indicates the type of the generated vector. In one possible implementation, if the drawing mode selected by the user is a boundary point, the drawn graphic vector is a batch of point vectors; in another possible implementation manner, if the drawing mode selected by the user is a catchment area, the drawn graphic vector is a planar vector formed by a plane in which the catchment area is located; in yet another possible implementation, if the user-selected drawing pattern is a radial line, the drawn graph is a line vector representing the radial line.
In a specific application example, a user selects a target range of a proper range on an interface according to actual analysis requirements, and determines the depression areas with the number of geographic positions greater than or equal to the minimum node number as target depression areas according to depression boundary information obtained by a depression extraction algorithm. For example, if the minimum number of nodes set by the user is 10, only for the target depression area, where the number of geographical positions 5 in each depression area is greater than 10, the graph indicated by the drawing mode set by the user is drawn.
The method has the advantages that the filtering of the depression areas with the geographic positions smaller than the minimum node number set by the user in the depression areas which do not influence the analysis result of the user but increase the system operation amount is realized by setting the minimum node number, the operation amount of the system is reduced as a whole, more operation resources are applied to the depression areas with larger influence on the analysis result, and the analysis speed and the analysis accuracy are improved. In addition, the selectable drawing mode enables a user to output a graph with a proper mode according to own needs, so that the application range of the image generated by the method is enlarged.
Optionally, on the basis of the catchment area extraction method based on the digital elevation model shown in fig. 6, an embodiment of the present application further provides a possible implementation example of the catchment area extraction method based on the digital elevation model. Fig. 7 is a flowchart of a catchment area extraction method based on a digital elevation model according to a further embodiment of the present application. Drawing a graphic vector indicated by a drawing mode set by a user in a target depression area, the method comprising:
step 701: and an entity for drawing a graphic vector indicated by the drawing mode set by the user in the target depression.
The graphic vector is composed of a plurality of graphic elements, and each graphic element is an entity which is self-integrated and has the properties of color, shape, outline, size, position and the like. In the entity of the application for drawing the graphic vector indicated by the drawing mode set by the user, the geometric type information of the vertex is also required to be set. The geometric type information of the vertex indicates a geometric figure used for indicating the vertex, for example, the geometric type information of the vertex can be a rectangle, namely, the vertex of the graphics vector is indicated for the rectangle; for another example, the geometric type information of the vertex may be a circle, that is, the vertex of the graphics vector is represented by a circle; the geometric type information of the vertex can also be other shapes, such as triangle, sphere, etc., which is not limited by the application. The entity generated by the application can also comprise the attributes of the exoskeleton, the material and the like of the graphic vector. In one possible implementation manner of the present application, vertex information is created using geographic position information of a target range set by a user, corresponding digital elevation model information, and a graphic vector indicated by a drawing mode of boundary points and geometric type information of vertices of circles. And then the entity is created by combining configuration information such as materials and the like.
Step 702: and rendering the material of the entity of the graphic vector according to the preset dynamic liquid material.
The default physical material of the entity of the graphic vector generated in step 701 is a monochromatic filling, for example, the default physical material is a blue solid filling, and the present application can change the default physical material into dynamic water with animation, for example, the preset dynamic liquid material is a dynamic, flowing or fluctuating material with light and shadow effect and transparency water. Modification may be accomplished by pointing a texture pointer for the physical texture to the dynamic liquid texture preset in the present application.
In one possible implementation, rendering the material of the entities of the graphics vectors may be animated using a WebGL (Web Graphics Library ) based animation rendering technique. In another possible embodiment, the rendering of the material for the entity of the graphics vector may use OpenGL (Open Graphics Library ), vulkan, or other renderers, which is not limited by the present application.
It should be noted that, if the rendering related parameters need to be changed after the rendering is finished, for example, the material needs to be modified, the entity of the graphics vector needs to be deleted and then rendered again; if parameters related to rendering need to be changed before rendering, only the material pointers corresponding to the physical materials need to be changed.
In a specific application example, a drawing mode is selected as a catchment area mode, an entity of a graphic vector indicated by the drawing mode set by a user is drawn in a target depression area, and material rendering is performed on the entity of the graphic vector according to a preset dynamic liquid material, as shown in fig. 8, fig. 8 is a schematic diagram of a catchment area rendering result of a catchment area extraction method based on a digital elevation model according to a third embodiment of the present application. It can be seen that after rendering, the water surface of the catchment area has dynamic liquid material.
By rendering the material of the entity of the graphic vector, the application can more vividly express the extracted catchment area, and the analysis result is more visual and understandable.
Optionally, on the basis of the catchment area extraction method based on the digital elevation model shown in fig. 7, an embodiment of the present application further provides a possible implementation example of the catchment area extraction method based on the digital elevation model. An entity that draws a graphics vector indicated by a drawing pattern set by a user in a target depression, the method comprising:
and creating an entity of the graphic vector according to the geographic position information of the target depression area, the elevation data corresponding to the geographic position information and the type of the graphic vector indicated by the drawing mode.
In a possible implementation manner, if the drawing mode is a boundary point mode, a batch of point vector entities are generated, the entities of the created graphic vectors are shown in fig. 9, and fig. 9 is a schematic diagram of boundary point mode of a catchment area extraction method based on a digital elevation model according to a fourth embodiment of the present application; in another possible implementation manner, if the drawing mode selected by the user is a catchment area, a planar vector entity is formed, and the entity of the created graphic vector is shown in fig. 10, and fig. 10 is a schematic diagram of the catchment area mode of the catchment area extraction method based on the digital elevation model according to the fourth embodiment of the present application; in yet another possible implementation manner, if the drawing mode selected by the user is radial, a linear vector entity is formed, and the entity of the created graphic vector is shown in fig. 11, and fig. 11 is a schematic diagram of radial mode of a catchment area extraction method based on a digital elevation model according to still another embodiment of the present application.
Each rendering mode, after completing the entity of rendering the graphic vector indicated by the rendering mode set by the user, the user may zoom on the interface, viewing the analysis rendering results from a more global perspective, or from a more local perspective.
And completing the creation of the entity of the graphic vector by using the geographic position information of the target depression area, the elevation data corresponding to the geographic position information and the type of the graphic vector indicated by the drawing mode, so that the created graphic vector entity contains more contents, and the analysis result is more accurate.
Optionally, on the basis of any one of the above embodiments, an embodiment of the present application further provides a possible implementation example of a catchment area extraction method based on a digital elevation model. In any one of the above methods for extracting a catchment area based on a digital elevation model, the digital elevation model of the target data accuracy in the target range is: and the server resamples the digital elevation model of the matched target range to obtain a digital elevation model with the accuracy of target data accuracy.
Stored in the server are one or more precision digital elevation model data, and the user set target data precision may or may not be the same as the data precision of a certain digital elevation model stored in the server. Therefore, the server, upon receiving the request, needs to match the digital elevation model data that is the best match within the target range in the digital elevation model database. In one possible implementation, if the user-set target data accuracy is the same as the data accuracy of a digital elevation model stored in the server, the digital elevation model may be returned directly to the computer device. In another possible implementation manner, if the accuracy of the target data set by the user is different from the accuracy of the data of one of the digital elevation models stored in the server, a digital elevation model with higher accuracy closest to the accuracy of the target data set by the user needs to be selected, and then the data in the target range in the digital elevation model is resampled to obtain the digital elevation model data with the accuracy of the target data meeting the actual analysis requirement of the user. It should be noted that resampling is a process of extracting a low resolution image from a high resolution remote sensing image. Resampling methods that can be used are nearest neighbor interpolation (nearest neighbor interpolation), bilinear interpolation (bilinear interpolation), and cubic convolution interpolation (cubic convolution interpolation), among others.
The digital elevation model with the accuracy of the target data obtained by the server is realized through a plurality of sampling methods, and the flexibility and the freedom degree of setting the target data accuracy are realized.
The following describes a catchment area extraction device, a computer readable storage medium, etc. based on a digital elevation model, and specific implementation processes and technical effects thereof are referred to above, and are not described in detail.
Fig. 12 is a schematic view of a catchment area extraction device based on a digital elevation model according to an embodiment of the application. The device comprises:
a request module 121, configured to request, from a server, a digital elevation model of a target data precision within a target range according to the target range and the target data precision set by a user;
the dividing module 122 is configured to divide the target range into a terrain mesh according to the data precision, so as to obtain the terrain mesh of the target range;
the mapping module 123 is configured to map the elevation data of the digital elevation model to a corresponding geographic position in the terrain grid, so as to obtain a target terrain grid;
the depression extraction module 124 is configured to perform depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm, so as to obtain depression boundary information;
And the drawing module 125 is configured to draw a graphics vector according to the depression boundary information.
Optionally, the request module 121 may be further configured to, before requesting the digital elevation model of the target data precision within the target range according to the target range and the target data precision set by the user: acquiring target data precision set by a user through an interface; the target range is determined according to a range drawing operation by the user through a topographic map displayed on the interface.
Optionally, the request module 121 may be further configured to, before requesting the digital elevation model of the target data precision within the target range according to the target range and the target data precision set by the user: obtaining visual configuration parameters set by a user through an interface; the rendering module 125 may also be used to: and drawing the graphic vector according to the depression boundary information and the visual configuration parameters.
Optionally, the visualized configuration parameters in the request module 121 include: minimum node number and drawing mode; the rendering module 125 may also be used to: according to the depression boundary information, determining the depression areas with the number of geographic positions being greater than or equal to the minimum node number as target depression areas; and drawing the graphic vector indicated by the drawing mode set by the user in the target depression area.
Optionally, the drawing module 125 may be further configured to: an entity for drawing a graphic vector indicated by a drawing pattern set by a user in a target depression; and rendering the material of the entity of the graphic vector according to the preset dynamic liquid material.
Optionally, the drawing module 125 may be further configured to: and creating an entity of the graphic vector according to the geographic position information of the target depression area, the elevation data corresponding to the geographic position information and the type of the graphic vector indicated by the drawing mode.
Optionally, the digital elevation model of the target data precision in the target range is: and the server resamples the digital elevation model of the matched target range to obtain a digital elevation model with the accuracy of target data accuracy.
The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASICs), or one or more microprocessors, or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGAs), etc. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 13 is a schematic diagram of a computer device according to an embodiment of the application. The computer device includes: the system comprises a processor 131, a storage medium 132 and a bus, wherein the storage medium stores program instructions executable by the processor, when the computer device runs, the processor 131 and the storage medium 132 communicate through the bus, and the processor 131 executes the program instructions to execute the steps of the catchment area extraction method based on the digital elevation model in any one of the first aspect. The foregoing computer device is configured to perform the method provided in the foregoing embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
Optionally, on the basis of any embodiment of the foregoing, an embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the catchment area extraction method based on the digital elevation model in any one of the foregoing first aspect are performed. The computer readable storage medium is used to execute the method provided in the foregoing embodiment, and its implementation principle and technical effects are similar, and will not be described in detail herein.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform part of the steps of the methods of the embodiments of the invention. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily appreciate variations or alternatives within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (6)
1. A catchment area extraction method based on a digital elevation model, the method comprising:
according to a target range and target data precision set by a user, requesting a digital elevation model of the target data precision in the target range from a server;
according to the target data precision, performing terrain grid division on the target range to obtain a terrain grid of the target range;
mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain a target terrain grid;
carrying out depression extraction on the target terrain mesh by adopting a preset depression extraction algorithm to obtain depression boundary information;
according to the depression boundary information, drawing a graphic vector;
before the digital elevation model of the data precision in the target range is requested according to the target range and the data precision set by the user, the method further comprises:
Obtaining the visual configuration parameters set by the user through an interface; the visual configuration parameters include: minimum node number and drawing mode;
and performing graphic vector drawing according to the depression boundary information, wherein the graphic vector drawing comprises:
drawing a graphic vector according to the depression boundary information and the visual configuration parameters;
and performing graphic vector drawing according to the depression boundary information and the visual configuration parameters, wherein the graphic vector drawing comprises the following steps:
according to the depression boundary information, determining the depression areas with the number of geographic positions larger than or equal to the minimum node number as target depression areas;
drawing a graphic vector indicated by the drawing mode in the target depression area;
wherein, the drawing the graphics vector indicated by the drawing mode in the target depression area includes:
an entity that draws a graphics vector indicated by the drawing pattern in the target depression area;
rendering the material of the entity of the graphic vector according to a preset dynamic liquid material;
wherein the entity for drawing the graphic vector indicated by the drawing pattern in the target depression area includes:
And creating an entity of the graphic vector according to the geographic position information of the target depression area, the elevation data corresponding to the geographic position information and the type of the graphic vector indicated by the drawing mode.
2. The method for extracting a catchment area based on a digital elevation model according to claim 1, wherein before requesting the digital elevation model of the target data accuracy within a target range according to the target range and the target data accuracy set by a user, the method further comprises:
acquiring the target data precision set by the user through an interface;
and determining the target range according to the range drawing operation of the user through acting on the topographic map displayed on the interface.
3. The method according to any one of claims 1-2, wherein the digital elevation model of the target data accuracy within the target range is: and resampling the matched digital elevation model of the target range by the server to obtain a digital elevation model with the accuracy of the target data accuracy.
4. Catchment area extraction element based on digital elevation model, characterized in that includes:
The request module is used for requesting a digital elevation model of the target data precision in the target range from a server according to the target range and the target data precision set by a user;
the dividing module is used for dividing the terrain grids of the target range according to the data precision to obtain the terrain grids of the target range;
the mapping module is used for mapping the elevation data of the digital elevation model to the corresponding geographic position in the terrain grid to obtain a target terrain grid;
the depression extraction module is used for extracting the depressions of the target terrain grid by adopting a preset depression extraction algorithm to obtain depression boundary information;
the drawing module is used for drawing the graphic vector according to the depression boundary information;
wherein, the request module is further configured to:
obtaining the visual configuration parameters set by the user through an interface; the visual configuration parameters include: minimum node number and drawing mode;
the drawing module is specifically configured to:
drawing a graphic vector according to the depression boundary information and the visual configuration parameters;
wherein, the drawing module is further used for:
According to the depression boundary information, determining the depression areas with the number of geographic positions larger than or equal to the minimum node number as target depression areas;
drawing a graphic vector indicated by the drawing mode in the target depression area;
wherein, the drawing module is further configured to:
an entity that draws a graphics vector indicated by the drawing pattern in the target depression area;
rendering the material of the entity of the graphic vector according to a preset dynamic liquid material;
wherein, the drawing module is further used for:
and creating an entity of the graphic vector according to the geographic position information of the target depression area, the elevation data corresponding to the geographic position information and the type of the graphic vector indicated by the drawing mode.
5. A computer device, comprising: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating via the bus when the computer device is running, the processor executing the program instructions to perform the steps of the digital elevation model based catchment area extraction method of any one of claims 1 to 3.
6. A computer readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the digital elevation model based catchment area extraction method according to any one of claims 1 to 3.
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