CN117331073A - Rapid evaluation method and system for radar detection conditions of plateau desert area - Google Patents
Rapid evaluation method and system for radar detection conditions of plateau desert area Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/885—Radar or analogous systems specially adapted for specific applications for ground probing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/418—Theoretical aspects
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention discloses a rapid evaluation method and a rapid evaluation system for radar detection conditions in a plateau desert area. The method comprises the steps of viewpoint selection, topographic data acquisition, view analysis, evaluation parameter acquisition, comprehensive evaluation information acquisition and the like. By using geographic information software and digital elevation data, key parameters such as a detectable range, a detection blind area, an observation elevation angle and the like of the radar can be rapidly estimated. The evaluation result is presented in a visual mode of a drawing, so that the user can conveniently and comprehensively evaluate and make decisions.
Description
Technical Field
The invention relates to the technical field of radar detection and GIS space analysis, in particular to a rapid evaluation method and a rapid evaluation system for radar detection conditions in a plateau desert region based on a GIS three-dimensional space analysis technology.
Background
For radar detection, under the condition of eliminating human interference, the working efficiency and accuracy of radar facilities can be influenced by various factors, including weather conditions, terrains, buildings, ground coverage and the like, wherein the weather conditions change rapidly, quantitative evaluation is not easy, the ground surface buildings and vegetation coverage height data are generally difficult to obtain, and the influence is relatively small. The influence of the topography factors on the radar detection is great, the topography factors change little throughout the year, the data acquisition is convenient, especially in the mountain region of topography complicacy, the distance that the radar detected on ground often does not depend on its own equipment performance, but depends on the topography change condition around the radar detector. Therefore, researching the influence of the topography factors on the radar detection has higher practical value and lower cost.
At present, the research on the influence of the terrain environment on the radar detection range is relatively less, and the theoretical system is not perfect. (Chen Da et al 2012) establishing an influence model of the terrain shielding on the radar detection range by analyzing the mathematical model of the radar detection range. Based on radar equations and radar pattern propagation factors, a discrete sampling method is utilized to realize three-dimensional visualization of radar detection range. The method converts ground elevation data of the radar at different azimuth distances into radar observation elevation angles, compares the radar elevation angles with a radar free space vertical power diagram, determines terrain shielding points to form radar azimuth terrain shielding sections, and forms radar terrain shielding blind areas by all azimuth terrain sections so as to determine radar detection power ranges of different height layers. (Liu Yawei, etc.) 2018) realizes the operation of judging the ground radar through the vision under the condition of real topography by means of a Digital Elevation Model (DEM), and proposes two different path finding and judging methods aiming at the operation of judging the topography through the vision.
The method provides important methods and bases for analysis and research of the detection range of the terrain influence radar, but the research is one-sided deep, and the problems of large calculated amount, high algorithm complexity and the like exist.
The invention aims to provide an evaluation method for rapidly acquiring a series of parameters such as a radar detectable range, a detection blind area, a radar altitude, an omnibearing farthest detection point, an observation inclined distance, an observation elevation angle and the like in a plateau desert area based on Arcgis geographic information software.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a rapid evaluation method and a rapid evaluation system for radar detection conditions in a plateau desert area. Based on the geographic position and the digital elevation model of radar equipment, parameters such as a radar detectable range, a detection blind area, a detection height, an omnibearing farthest detection point, an observation inclined distance, an observation elevation angle and the like are rapidly obtained through a GIS three-dimensional analysis technology, so that the radar detection condition is comprehensively evaluated.
In order to achieve the above object, the present invention adopts the following technical scheme:
a rapid evaluation method for radar detection conditions in a plateau desert region comprises the following steps:
step one: viewpoint selection and topographic data acquisition;
and selecting a viewpoint for evaluation, acquiring plane coordinates and elevation data of the viewpoint, and determining the ground clearance of the radar device.
Digital elevation Data (DEM) within the viewpoint periphery is downloaded and data processing, including merging, filtering and cropping, is performed.
Step two: performing a visual analysis;
and performing visibility analysis on the viewpoint data and the DEM data to obtain classified images of the visible range and the invisible range, and obtaining a hidden height value.
Step three: acquiring evaluation parameters;
and generating directional rays, namely sight lines, in the peripheral range according to the set angle interval and length by using the GIS tool and taking the viewpoint as an origin.
And converting the result of the visual analysis into face vector data and extracting visual boundary lines.
And carrying out space intersection analysis on the sight line and the visual range, and obtaining the intersection point of the sight line and the visual boundary line.
And acquiring rectangular coordinates and elevation values of the intersection points, performing trigonometric function calculation on the rectangular coordinates and elevation values of the intersection points and the view points, acquiring the slant distance and the observation elevation angle from each intersection point to the view points, and sequencing the visible intersection points of each sight line according to the slant distance, wherein the maximum slant distance point is the farthest visible boundary point.
Step four: comprehensive evaluation information;
and comprehensively evaluating the acquired various information, carrying out visual expression of the picture, and comprehensively displaying the evaluation result.
And carrying out quick evaluation on detection conditions according to the evaluation result, including evaluation on feasibility and effectiveness.
Further, in the third step, the set angle interval is 2 °, the length is 150 km, and the peripheral range is 360 °.
Further, in step three, trigonometric function calculation is performed to calculate the slant distance AB (public distance) from the observation point to the viewpoint
Equation 1) and its observation elevation angle θ (equation 2).
Wherein x is 1 、y 1 、z 1 Sitting for observation pointThe labels respectively represent X, Y and Z coordinates of the observation point in the three-dimensional space. X is x 0 、y 0 、z 0 The coordinates of the viewpoint are X, Y and Z coordinates of the viewpoint in three-dimensional space, respectively. z 1 -z 0 The elevation difference between the observation point and the viewpoint in the Z direction is used for calculating the observation elevation angle.
Further, the visual representation of the drawing in the fourth step comprises: a main graph, a secondary graph and an attached table;
the content of the main graph comprises: viewpoint, topography, direct view area range, hidden area range displayed in a hierarchical manner according to hidden height, and discrete point data expressing hidden height.
The sub-graph content includes: viewpoint, 360 degree line of sight, terrain, visible area range, and furthest visible boundary point information.
The appendable table includes the geographic coordinates, elevation, tilt, and elevation of the furthest boundary point for each azimuth.
The invention also discloses a rapid evaluation system for the radar detection conditions of the plateau desert region, which can be used for implementing the rapid evaluation method for the radar detection conditions of the plateau desert region, and specifically comprises the following steps:
and a data processing module: the method is used for denoising and filtering radar echo data. Downloading, processing and preprocessing of Digital Elevation Model (DEM) data.
Viewpoint selection and data acquisition module: for the selection and positioning of viewpoints. And extracting radar echo data and DEM data corresponding to the periphery of the viewpoint.
The view analysis module: and the visual point analysis module is used for analyzing the visual point and the DEM data to obtain classified images of the visual range and the invisible range. Boundary line extraction of the visual range.
And an evaluation parameter calculation module: for generating directional rays (lines of sight) with the viewpoint as the origin, according to a certain angular interval and length. And analyzing the intersection point of the sight line and the visual boundary line, and calculating the geographic coordinates of the intersection point and the elevation value of the corresponding position DEM. And calculating the slant distance and the observation elevation angle from the observation point to the viewpoint.
And the comprehensive evaluation information module is used for: and the visual expression of the graph is used for the evaluation result, and the evaluation result is displayed. Quick assessment of the detection conditions, including assessment of feasibility and effectiveness, is performed.
A user interface module: for providing a user interface, the user can make settings for viewpoint selection, data processing, and evaluation parameter calculation. And displaying the evaluation result and an analysis chart.
The invention also discloses a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the rapid evaluation method of the radar detection condition of the plateau desert area when executing the program.
The invention also discloses a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the rapid evaluation method for the radar detection condition of the plateau desert region.
Compared with the prior art, the invention has the advantages that:
1. rapidity: by utilizing digital elevation data and a vision analysis technology, a user can quickly acquire a series of key parameters such as a detectable range, a detection blind area, a detection height, an omnibearing farthest detection point, an observation elevation angle and the like of the radar. The parameters can comprehensively evaluate the performance and the limiting conditions of the radar, provide important basis for evaluation work such as radar array site selection and the like, and can rapidly evaluate the radar detection conditions. By automating the processing and calculation, the time and labor costs of manual assessment are reduced.
2. Accuracy: by acquiring viewpoint and topography data and performing a visual analysis, accurate visual range and invisible range information can be obtained, thereby evaluating the concealed height and visual boundary of the radar.
3. Comprehensiveness: the method combines a plurality of steps of viewpoint selection, terrain analysis, evaluation parameter acquisition and the like, comprehensively considers the influence of factors such as terrain and the like on radar detection conditions, and enables the evaluation result to be more comprehensive and accurate.
4. And (3) automatic treatment: the topographic data can be automatically downloaded, processed and analyzed through an automatic algorithm and a GIS tool, so that complicated manual operation is reduced.
5. Visual display: the evaluation result is visually expressed in a form of a graph, so that the result is more visual and easy to understand. The user can intuitively know the distribution and change conditions of the radar detection conditions through map display, so that decision making and planning are better performed, and the evaluation result is more intuitive and easy to understand and analyze.
6. High efficiency: through modularized design, the evaluation process is decomposed into a plurality of functional modules, and digital elevation data can be conveniently acquired, processed and analyzed by means of rich geographic information processing functions and tools. This makes the data acquisition and processing process more convenient and efficient.
7. Scalability: the system can adjust and expand the functional modules according to actual requirements, and is suitable for rapid evaluation tasks of different scenes and requirements.
Drawings
FIG. 1 is a flow chart of a method for rapidly evaluating radar detection conditions in a plateau desert region according to an embodiment of the invention;
FIG. 2 is a schematic diagram of DEM data according to an embodiment of the invention;
FIG. 3 is a schematic diagram of the combined and filtered DEM data according to an embodiment of the present invention;
FIG. 4 is a diagram of DEM data after cropping according to an embodiment of the present invention;
FIG. 5 is a view analysis result diagram of an embodiment of the present invention;
FIG. 6 is a schematic view of the intersection of a line of sight with a visual boundary in accordance with an embodiment of the present invention;
FIG. 7 is a schematic view of a point of view and observation trigonometric function according to an embodiment of the invention;
FIG. 8 is a schematic view of a most visible boundary point of a line of sight according to an embodiment of the present invention;
FIG. 9 is a topographical shadow map generated by an embodiment of the present invention;
FIG. 10 is a partial effect diagram of a main diagram of an embodiment of the present invention;
FIG. 11 is a partial effect diagram of a secondary diagram of an embodiment of the present invention;
fig. 12 is a diagram showing the effect of the embodiment of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the accompanying drawings and by way of examples in order to make the objects, technical solutions and advantages of the invention more apparent.
A rapid evaluation method for radar detection conditions in a plateau desert region comprises the following steps:
step one: viewpoint selection and terrain data acquisition.
Selecting a viewpoint for evaluation, in this embodiment, a certain point in a certain plateau area in China is arbitrarily selected as a basic viewpoint, the installation height of radar equipment is assumed to be 20 meters from the ground, plane coordinates and elevation data of the viewpoint are obtained, the point is projected in Arcgis software to obtain a point file (.shp) of the viewpoint, two fields named "spot" and "offsetA" are added in a viewpoint data attribute table, the elevation value (meter) of the viewpoint is input in the "spot" field, and the ground elevation (meter) of the installation of the radar equipment is input in the "offsetA" field.
And downloading DEM data in a 150 km surrounding (which can be flexibly determined according to the maximum detection distance of radar equipment) by taking a viewpoint as an origin, wherein a data downloading website is a geospatial data cloud (https:// www.gscloud.cn /), the type of the downloaded data is ASTER GDEM M resolution digital elevation data, and the downloaded DEM original data is shown in fig. 2.
And combining the downloaded DEM data by using a 'mosaic to new grid' tool in arcgis software, and unifying a color mapping table. The combined DEM data is low pass filtered using a "filter" tool to reject individual outlier effects (fig. 3). DEM was cropped using a "extract by mask" tool to extract study area range data (fig. 4).
Step two: and performing a visual analysis.
And performing visibility analysis on the viewpoint data and the spliced and cut DEM data by using an arcgis 'view' tool. The file stored in the "output grid" in this step is a grid file, which is a classified image of a direct visual range and a direct invisible range of a viewpoint (fig. 5), and the file stored in the "grid above the output ground plane (optional)" is a grid file, in which each pel value records a minimum height (if the height is not added, the pel is invisible) that needs to be added to the pel to ensure that the pel is visible to the viewpoint, and the value of the pel (direct visual area) that has been visible in the output grid is 0.
Step three: searching the omnibearing maximum detection range and obtaining the evaluation parameters.
The directional ray (sight) is formed in a 360-degree range around the periphery by using an arcgis 'origin angle distance definition line' tool, taking a viewpoint as an origin, taking 2 degrees (the angle interval can be automatically determined according to working requirements) as a unit interval, taking 150 km (flexibly determined according to the maximum detection distance of radar equipment) as a length.
The "output grid" of the view analysis in the second step is converted into surface vector data by a "grid-to-surface" tool, boundary lines of the surface elements are extracted by a "surface-to-line" tool, and intersections of the line-of-sight elements and the visual boundary lines are extracted by an "intersection" tool (fig. 6). The intersection point element generated by the intersection point tool is a multi-component element, the intersection point element is required to be split into single-component elements by using the multi-component to single-component tool, the geographic coordinates of each intersection point are calculated by using the calculation geometry tool in the attribute table of the intersection point element, the elevation value of the corresponding position DEM is extracted by using the multi-value extraction to point tool by using the intersection point element, finally, the attribute table of the intersection point element is exported as an EXCEL table, and the perspective (AB) from the observation point to the viewpoint and the observation elevation angle theta (formula 1) are calculated according to the viewpoint and the observation point trigonometric function relation shown in fig. 7.
The calculation data of the intersection points of each observation direction are screened out, the calculation data are sorted according to the inclined distance, and the point with the largest inclined distance of each observation direction is extracted, namely the furthest observation point in the direction (figure 8).
Step four: and (5) comprehensively evaluating information, carrying out visual expression of a picture, and comprehensively evaluating detection conditions.
And (3) integrating various evaluation information obtained in the previous step, carrying out visual expression on the evaluation information in a picture, and comprehensively displaying various information in the method in the expression form of one picture.
The method comprehensively expresses the comprehensive information obtained in the previous steps in the form of a main drawing, a subsidiary drawing and an attached table.
The main expression of the main image includes viewpoint, topography, direct visual area range, hidden area range displayed in a hierarchical manner according to hidden height, and discrete point data expressing hidden height. The specific method comprises the following steps: first, on the basis of the cut DEM data, the "mountain shadow" tool of Arcgis is used to generate the study area topographic shadow data (fig. 9) for display of topographic elements. And secondly, superposing and displaying the file stored in the grid (optional) above the output ground plane in the step two on the topographic shadow data, wherein the stored information of the file is the hidden height of each pel (namely, each pel value records the minimum height which needs to be added to the pel for ensuring that the pel is visible to the observation point (if the height is not added, the pel is not visible)). In the attribute of the layer of the file, the transparency is set to 30% (which can be increased or decreased according to the need), the classified categories are selected to be 6 (which can be increased or decreased according to the need), the first category of the classified interrupt value must be 0, because the 0 value in the layer represents a direct visual area, the direct visual area must be separately displayed as one category, the interrupt values of the other categories can be set according to the need, and in the embodiment, the interrupt values of the other 5 categories are respectively set as follows: 100 meters, 200 meters, 500 meters, 1000 meters and >1000 meters, i.e. the concealed heights 0-100 meters are shown as one class, the concealed heights 100-200 meters are shown as one class, and so on. And setting the display color of each type according to the habit of the user. And thirdly, converting the grid image file stored in the grid (optional) above the output ground plane in the second step into an Arcgis point file by using a grid turning point tool, wherein the stored information of the file is the hidden height of each pel, and each point attribute records the hidden height of the pel in the converted point file. And (3) using a 'subset element' tool to dilute the converted point file, and setting and displaying the hidden height corresponding to each point element in a 'mark' column in the layer attribute of the dilute element. Finally, the dot element layer is displayed superimposed on the figure (fig. 10). Moreover, researchers can select and display geographical elements such as place names, roads, water systems and the like of the study areas in a superimposed manner as required.
The content mainly expressed by the auxiliary graph comprises view points, 360-degree sight lines, terrains, visible area ranges and farthest visible boundary point information. And step one, superposing and displaying the file stored in the output grid in the step two on a topographic shadow map layer according to the transparency of 30% (which can be increased or decreased). Second, the slant distance of each point is marked on the most distant visible boundary point map layer (fig. 11). Researchers can select and display geographical elements such as place names, roads, water systems and the like of the research areas according to needs.
The "appendix" expresses the geographical coordinates, elevation, skew and observation elevation of the furthest boundary point of each azimuth in the form of a table.
Finally, integrating the graph pieces in the Photoshop software in the form of a main graph, a secondary graph and an attached table, namely the final display of the method (figure 12).
In still another embodiment of the present invention, a rapid evaluation system for radar detection conditions in a plateau desert area is provided, which can be used to implement the rapid evaluation method for radar detection conditions in a plateau desert area, and specifically includes:
and a data processing module: the method is used for denoising and filtering radar echo data. Downloading, processing and preprocessing of Digital Elevation Model (DEM) data.
Viewpoint selection and data acquisition module: for the selection and positioning of viewpoints. And extracting radar echo data and DEM data corresponding to the periphery of the viewpoint.
The view analysis module: and the visual point analysis module is used for analyzing the visual point and the DEM data to obtain classified images of the visual range and the invisible range. Boundary line extraction of the visual range.
And an evaluation parameter calculation module: for generating directional rays (lines of sight) with the viewpoint as the origin, according to a certain angular interval and length. And analyzing the intersection point of the sight line and the visual boundary line, and calculating the geographic coordinates of the intersection point and the elevation value of the corresponding position DEM. And calculating the slant distance and the observation elevation angle from the observation point to the viewpoint.
And the comprehensive evaluation information module is used for: and the visual expression of the graph is used for the evaluation result, and the evaluation result is displayed. Quick assessment of the detection conditions, including assessment of feasibility and effectiveness, is performed.
A user interface module: for providing a user interface, the user can make settings for viewpoint selection, data processing, and evaluation parameter calculation. And displaying the evaluation result and an analysis chart.
In yet another embodiment of the present invention, a terminal device is provided, the terminal device including a processor and a memory, the memory for storing a computer program, the computer program including program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the invention can be used for the operation of the rapid evaluation method of the radar detection conditions of the plateau desert area, and comprises the following steps:
step one: viewpoint selection and topographic data acquisition;
and selecting a viewpoint for evaluation, acquiring plane coordinates and elevation data of the viewpoint, and determining the ground clearance of the radar device.
Digital elevation Data (DEM) within the viewpoint periphery is downloaded and data processing, including merging, filtering and cropping, is performed.
Step two: performing a visual analysis;
and performing visibility analysis on the viewpoint data and the DEM data to obtain classified images of the visible range and the invisible range, and obtaining a hidden height value.
Step three: acquiring evaluation parameters;
and generating directional rays, namely sight lines, in the peripheral range according to the set angle interval and length by using the GIS tool and taking the viewpoint as an origin.
And converting the result of the visual analysis into face vector data and extracting visual boundary lines.
And carrying out space intersection analysis on the sight line and the visual range, and obtaining the intersection point of the sight line and the visual boundary line.
And acquiring rectangular coordinates and elevation values of the intersection points, performing trigonometric function calculation on the rectangular coordinates and elevation values of the intersection points and the view points, acquiring the slant distance and the observation elevation angle from each intersection point to the view points, and sequencing the visible intersection points of each sight line according to the slant distance, wherein the maximum slant distance point is the farthest visible boundary point.
Step four: comprehensive evaluation information;
and comprehensively evaluating the acquired various information, carrying out visual expression of the picture, and comprehensively displaying the evaluation result.
And carrying out quick evaluation on detection conditions according to the evaluation result, including evaluation on feasibility and effectiveness.
In a further embodiment of the present invention, the present invention also provides a storage medium, in particular, a computer readable storage medium (Memory), which is a Memory device in a terminal device, for storing programs and data. It will be appreciated that the computer readable storage medium herein may include both a built-in storage medium in the terminal device and an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.
One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the respective steps of the method for rapid evaluation of radar detection conditions in a plateau desert region in the above-described embodiments; one or more instructions in a computer-readable storage medium are loaded by a processor and perform the steps of:
step one: viewpoint selection and topographic data acquisition;
and selecting a viewpoint for evaluation, acquiring plane coordinates and elevation data of the viewpoint, and determining the ground clearance of the radar device.
Digital elevation Data (DEM) within the viewpoint periphery is downloaded and data processing, including merging, filtering and cropping, is performed.
Step two: performing a visual analysis;
and performing visibility analysis on the viewpoint data and the DEM data to obtain classified images of the visible range and the invisible range, and obtaining a hidden height value.
Step three: acquiring evaluation parameters;
and generating directional rays, namely sight lines, in the peripheral range according to the set angle interval and length by using the GIS tool and taking the viewpoint as an origin.
And converting the result of the visual analysis into face vector data and extracting visual boundary lines.
And carrying out space intersection analysis on the sight line and the visual range, and obtaining the intersection point of the sight line and the visual boundary line.
And acquiring rectangular coordinates and elevation values of the intersection points, performing trigonometric function calculation on the rectangular coordinates and elevation values of the intersection points and the view points, acquiring the slant distance and the observation elevation angle from each intersection point to the view points, and sequencing the visible intersection points of each sight line according to the slant distance, wherein the maximum slant distance point is the farthest visible boundary point.
Step four: comprehensive evaluation information;
and comprehensively evaluating the acquired various information, carrying out visual expression of the picture, and comprehensively displaying the evaluation result.
And carrying out quick evaluation on detection conditions according to the evaluation result, including evaluation on feasibility and effectiveness.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Those of ordinary skill in the art will appreciate that the embodiments described herein are intended to aid the reader in understanding the practice of the invention and that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (7)
1. A rapid evaluation method for radar detection conditions in a plateau desert region is characterized by comprising the following steps:
step one: viewpoint selection and topographic data acquisition;
selecting a viewpoint for evaluation, acquiring plane coordinates and elevation data of the viewpoint, and determining the ground clearance of the radar device;
downloading digital elevation Data (DEM) in the peripheral range of the view point, and performing data processing including merging, filtering and clipping;
step two: performing a visual analysis;
performing visibility analysis on the viewpoint data and the DEM data to obtain classified images of a visible range and an invisible range, and obtaining a hidden height value;
step three: acquiring evaluation parameters;
generating directional rays, namely sight lines, in a peripheral range according to the set angle interval and length by using a GIS tool and taking a viewpoint as an origin;
converting the result of the visual analysis into face vector data and extracting visual boundary lines;
performing space intersection analysis on the sight line and the visual range to obtain an intersection point of the sight line and a visual boundary line;
acquiring rectangular coordinates and elevation values of the intersection points, performing trigonometric function calculation on the rectangular coordinates and the elevation values of the intersection points and the view points, acquiring the slant distance and the observation elevation angle from each intersection point to the view points, and sequencing the visible intersection points of each sight line according to the slant distance, wherein the maximum slant distance point is the farthest visible boundary point;
step four: comprehensive evaluation information;
comprehensively evaluating the acquired various information, carrying out visual expression of a picture, and comprehensively displaying an evaluation result;
and carrying out quick evaluation on detection conditions according to the evaluation result, including evaluation on feasibility and effectiveness.
2. The rapid evaluation method for radar detection conditions in a plateau desert region according to claim 1, wherein the rapid evaluation method comprises the following steps: in the third step, the set angle interval is 2 degrees, the length is 150 km, and the peripheral range is 360 degrees.
3. The rapid evaluation method for radar detection conditions in a plateau desert region according to claim 1, wherein the rapid evaluation method comprises the following steps: thirdly, performing trigonometric function calculation, and calculating the slant distance AB (formula 1) from the observation point to the viewpoint and the observation elevation angle theta (formula 2) of the observation point;
wherein x is 1 、y 1 、z 1 The coordinates of the observation point are X, Y and Z coordinates of the observation point in a three-dimensional space; x is x 0 、y 0 、z 0 The coordinates of the viewpoint are X, Y and Z coordinates of the viewpoint in a three-dimensional space; z 1 -z 0 The elevation difference between the observation point and the viewpoint in the Z direction is used for calculating the observation elevation angle.
4. The rapid evaluation method for radar detection conditions in a plateau desert region according to claim 1, wherein the rapid evaluation method comprises the following steps: the visual expression of the drawing in the fourth step comprises the following steps: a main graph, a secondary graph and an attached table;
the content of the main graph comprises: the method comprises the steps of viewing points, terrains, direct visible area ranges, hidden area ranges displayed in a grading mode according to hidden heights and discrete point data expressing the hidden heights;
the sub-graph content includes: viewpoint, 360-degree line of sight, topography, visible area range and furthest visible boundary point information;
the appendable table includes the geographic coordinates, elevation, tilt, and elevation of the furthest boundary point for each azimuth.
5. A rapid evaluation system for radar detection conditions in a plateau desert area is characterized in that: the system can be used for implementing the rapid evaluation method of the radar detection conditions of the plateau desert region according to one of claims 1 to 4, and specifically comprises the following steps:
and a data processing module: denoising and filtering the radar echo data; downloading, processing and preprocessing of Digital Elevation Model (DEM) data;
viewpoint selection and data acquisition module: for the selection and positioning of viewpoints; extracting radar echo data and DEM data corresponding to the periphery of the viewpoint;
the view analysis module: the method comprises the steps of analyzing view points and DEM data to obtain classified images of a visible range and an invisible range; boundary line extraction of the visual range;
and an evaluation parameter calculation module: the method comprises the steps of generating directional rays by taking a viewpoint as an origin and according to a certain angle interval and length; analyzing the intersection point of the sight line and the visual boundary line, and calculating the geographic coordinates of the intersection point and the elevation value of the corresponding position DEM; calculating the slant distance and the observation elevation angle from the observation point to the viewpoint;
and the comprehensive evaluation information module is used for: the method comprises the steps of using a graph for visual expression of an evaluation result and displaying the evaluation result; performing rapid evaluation of detection conditions, including evaluation of feasibility and effectiveness;
a user interface module: the user interface is used for providing a user interface, and the user can perform viewpoint selection, data processing and evaluation parameter calculation; and displaying the evaluation result and an analysis chart.
6. A computer device, characterized by: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, said processor implementing a method for rapid evaluation of radar detection conditions in a plateau desert region according to one of claims 1 to 4 when said program is executed.
7. A computer-readable storage medium, characterized by: a computer program stored thereon, which when executed by a processor, implements a method for rapid evaluation of radar detection conditions in a plateau desert region as claimed in one of claims 1 to 4.
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