CN112462366B - SAR data point visualization method, intelligent terminal and storage medium - Google Patents

SAR data point visualization method, intelligent terminal and storage medium Download PDF

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Publication number
CN112462366B
CN112462366B CN202011078774.8A CN202011078774A CN112462366B CN 112462366 B CN112462366 B CN 112462366B CN 202011078774 A CN202011078774 A CN 202011078774A CN 112462366 B CN112462366 B CN 112462366B
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sar data
data point
index
loading
value
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CN112462366A (en
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汪驰升
宿瑞博
冯光财
朱武
戴可人
郑杰
李清泉
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Shenzhen University
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Shenzhen University
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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
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • 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
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/9094—Theoretical aspects
    • 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
    • G01S7/04—Display arrangements
    • 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

Abstract

The invention discloses a SAR data point visualization method, an intelligent terminal and a storage medium, wherein the method comprises the following steps: acquiring SAR data points to be loaded; determining index values corresponding to the SAR data points according to a preset index rule; when a display instruction is received, determining a target index value in the index values according to target information in the display instruction; and loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image. The SAR data point loading method and device can effectively improve the SAR data point loading rate.

Description

SAR data point visualization method, intelligent terminal and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a SAR data point visualization method, an intelligent terminal, and a storage medium.
Background
The conventional earth leveling measurement and the electro-optical distance meter measurement are commonly adopted for the earth observation method, but the cost is high and is often limited by factors such as regions. Synthetic aperture radar SAR (Synthetic Aperture Radar) is a space earth observation technique developed in the last 20 years, and after SAR data is acquired, a ground elevation model and a ground elevation change can be further acquired by adopting an interferometry technique (Interferometry Synthetic Aperture Radar) and a differential interferometry technique D-InSAR (Differential Interferometry Synthetic Aperture Radar). Compared with the traditional earth observation technology, the SAR acquisition can be realized through satellites, is not limited by regions any more, and can be all-weather and has strong penetrating capacity all the day. However, the conventional SAR data are very much, so in the middle and late of the last century, some scholars at home and abroad put forward PS-InSAR technology aiming at the limitation of the traditional technology, and the earliest is represented by the experiment of Ferretti et al in Italy. PS-InSAR technology only interferometrically analyzes and processes objects whose scattering properties are relatively stable inside imaging areas, such as inside buildings, dams, and bridges. That is to say, a large number of unstable points are abandoned, and only the stable points are subjected to proper processing, so that the reliability of the obtained deformation measurement results is improved.
However, as the area and the data volume of the analysis become larger, the number of obtained target points is increased even if the target points acquired by the InSAR are screened. At this time, the target points are loaded on the map in a conventional synchronous loading manner, and the loading speed becomes slow along with the increase of the number of points, so that the processing efficiency of the whole SAR data is reduced.
Disclosure of Invention
The invention mainly aims to provide a SAR data point visualization method, an intelligent terminal and a storage medium, and aims to solve the problem that the visualization speed is low when SAR data points are too many in the prior art.
To achieve the above object, the present invention provides a SAR data point visualization method, which includes the steps of:
acquiring SAR data points to be loaded;
determining index values corresponding to the SAR data points according to a preset index rule;
when a display instruction is received, determining a target index value in the index values according to target information in the display instruction;
and loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image.
The index rule comprises an attribute index rule and a region index rule, and the index value comprises an attribute index value and a region index value;
The attribute index rule is an index rule for determining a corresponding attribute index value according to the attribute value of each SAR data point;
the region index rule is an index rule for determining a corresponding region index value according to coordinates of each SAR data point.
The determining, according to a preset index rule, an index value corresponding to each SAR data point specifically includes:
if the index rule is the attribute index rule, creating an attribute index value corresponding to a preset Nth scale layer according to the number of the preset scale layers, wherein N is a positive number smaller than or equal to the number of the scale layers, and the numerical scale of the N-1 th scale layer is smaller than the numerical scale of the Nth scale layer;
determining an attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point;
and determining attribute index values corresponding to the SAR data points according to the attribute value range.
The determining, according to the attribute value of the SAR data point, the attribute value range corresponding to the nth scale layer specifically includes:
establishing an initial numerical range corresponding to the first scale layer to the M-1 scale layer and a residual numerical range corresponding to the M scale layer according to the attribute values of the SAR data points;
Judging whether the number of SAR data points corresponding to the same initial numerical range is smaller than or equal to a preset loading number threshold value or not;
if yes, determining the initial numerical range as an attribute value range corresponding to the corresponding Nth scale layer;
and if not, adjusting the initial numerical range and the residual numerical range so that the number of SAR data points corresponding to each initial numerical range is smaller than or equal to the loading number threshold value, and generating an attribute value range corresponding to an Nth scale layer.
The determining, according to a preset index rule, an index value corresponding to each SAR data point specifically includes:
if the index rule is the region index rule, dividing the SAR data point into a first region SAR data point set corresponding to each preset first-level region range according to coordinates of the SAR data point, wherein an N-level region range is a region range corresponding to a preset N-th region layer;
according to a preset loading quantity threshold value and attribute values of all SAR data points, attribute values of all SAR data points in a first regional SAR data point set are divided into a first loading SAR data point set and a first to-be-divided SAR data point set;
Dividing SAR data points in the first SAR data point set to be divided into a second area SAR data point set corresponding to a preset secondary area range according to coordinates of the SAR data points;
iteratively and repeatedly executing grouping of all SAR data points in the N-th region SAR data point set until an M-1 loaded SAR data point set and an M-1 to-be-divided SAR data point set are obtained, and taking the M-1 to-be-divided SAR data point set as the M loaded SAR data point set;
and determining the region index value corresponding to the SAR data point in each N-th loading SAR data point set according to the region index value corresponding to each N-th region layer.
When receiving a display instruction, determining a target index value in the index values according to target information in the display instruction, wherein the method specifically comprises the following steps:
when a display instruction is received, determining a layer to be displayed according to target information in the target instruction;
and taking the corresponding index value as a target index value according to the layer to be displayed.
The step of loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image specifically comprises the following steps:
loading corresponding SAR data points into a preset blank image according to the index value corresponding to the first regional layer or the first scale layer to generate an initial image;
And iteratively and repeatedly executing the corresponding index value according to the Nth region layer or the Nth scale layer, loading the corresponding SAR data point into the initial image until the index value corresponding to the currently loaded SAR data point is equal to the target index value, and generating a target display image.
Before the SAR data point to be loaded is acquired, the method further comprises:
presetting a plurality of groups of test data sets, loading each group of test data sets in sequence, and recording loading time of each loading;
calculating the loading speeds corresponding to different numbers of test data sets according to the loading time and the number of the test points in the corresponding test data sets;
the loading speed corresponding to the former loaded test data set is the reduced number, the reduced number corresponding to the latter loaded test data set is calculated, and the speed change value corresponding to the latter loaded test data set is calculated;
and taking the data volume of the test data set corresponding to the maximum speed change value in the speed change values as a loading quantity threshold value.
In addition, to achieve the above object, the present invention further provides an intelligent terminal, where the intelligent terminal includes: the system comprises a memory, a processor and a SAR data point visualization plug-in stored on the memory and executable on the processor, wherein the SAR data point visualization plug-in realizes the steps of the SAR data point visualization method when being executed by the processor.
In addition, to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a SAR data point visualization plug-in, and the SAR data point visualization plug-in implements the steps of the SAR data point visualization method described above when executed by a processor.
After SAR data points to be loaded are acquired, an index value is established for each SAR data point, when a display instruction is received, a final loaded target index value is determined according to target information in the display instruction, and then corresponding SAR data points are found according to the target index value and are sequentially loaded into a blank image, so that a display target image is generated. In order to ensure that each loading can be loaded at the fastest speed, in the scheme, by limiting the number of SAR data points corresponding to each index value, only one SAR data point corresponding to each index value is loaded. In addition, the invention also provides two index establishing modes, namely an attribute value index rule for establishing an index value based on the attribute value corresponding to each SAR data point and an area index rule for establishing an index value based on the coordinate corresponding to each SAR data point. The former can realize gradual display of SAR data points according to a certain attribute value according to the attribute value of the SAR data points; the latter may lock onto the fixed area for display to precisely locate SAR data points within the area that the user wants to view.
Drawings
FIG. 1 is a flow chart of a preferred embodiment provided by the SAR data point visualization method of the present invention;
FIG. 2 is a schematic diagram of SAR data point loading based on attribute value indexing rules provided by the SAR data point visualization method of the present disclosure;
FIG. 3 is a schematic diagram of SAR data point loading based on regional index rules provided by the SAR data point visualization method of the present disclosure;
FIG. 4 is a schematic diagram of an operating environment of a smart terminal according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The SAR data point visualization method according to the preferred embodiment of the present invention, as shown in FIG. 1, comprises the following steps:
step S100, acquiring SAR data points to be loaded.
Specifically, the execution subject of the embodiment is a SAR data point visualization program or a SAR visualization plug-in installed in SAR data processing software, such as a complete remote sensing image processing platform (The Environment for Visualizing Images, ENVI) or the like. The designated location is read first to obtain SAR data points to be loaded. In this embodiment, the SAR data points may be acquired by an on-board or on-board instrument.
Further, in this embodiment, since the parameters and the performance of each device are different, the efficiency of running the SAR data point visualization plug-in on each device is different, and before step S100, the method further includes:
step S110, presetting a plurality of groups of test data sets, sequentially loading each group of test data sets, and recording loading time of each loading.
Specifically, a certain number of test data sets is acquired in advance, and the number of test data sets can be determined according to a frequently used scenario. And dividing the test data set into several groups, and loading the test data sets sequentially, wherein in the embodiment, the first group of test data sets is x test points, the number of test points of the second group of test data sets is n, and the number of test points of the third group of test data sets is n … …, wherein x and n are positive numbers.
And sequentially loading the test data sets by taking the group as a unit, and recording corresponding loading starting time and loading ending time when loading is started and when loading is ended, for example, the loading starting time of the first group of test data sets is t10, and the loading ending time is t11. And calculating the corresponding loading time according to the loading starting time and the loading ending time corresponding to each group of test data sets. For example, the loading time t1=t11-T10 for the first set of test data sets.
Step S120, calculating loading speeds corresponding to different numbers of test data sets according to the loading time and the number of test points in the corresponding test data sets.
Specifically, according to the loading time and the number of test points in the test number set, the loading speed corresponding to each test data set is calculated, for example, the number of test points in the first set of test data sets is x, the loading time is T1, and thus the loading speed is v1=x/T1.
Step S130, the loading speed corresponding to the previous loaded test data set is reduced, the reduction corresponding to the next loaded test data set is calculated, and the speed change value corresponding to the next loaded test data set is calculated.
Specifically, subtraction is adopted to calculate a speed change value corresponding to each test data except the first set of test data, for example, the loading time of the second set of test data is T2, the loading speed v2= (x+n)/T2, and the corresponding speed change value is Δv2=v1-v 2. The speed change value is used to describe the magnitude of the speed change between different numbers of test data points.
And step S140, taking the data volume of the test data set corresponding to the maximum speed change value in the speed change values as a loading quantity threshold.
In particular, since the loading to the rear speed necessarily slows down as the magnitude of the loaded data point increases, the change in speed is at a maximum. After calculating the speed change value corresponding to each group of test data sets, the embodiment takes the data volume of the test data set corresponding to the maximum speed change value as the loading quantity threshold. Thus, when the number of loads is greater than this threshold, the load speed will drop substantially, and in actual loading, it should be avoided as much as possible that the number of data points per load is greater than the load number threshold. For convenience of description, in this embodiment, the calculated loading number threshold is 100.
In addition, in this embodiment, in order to compare the loading speed, the difference between the numbers of test points in each set of test data sets is the same, but in the actual process, the number of test points in each set of test points can be freely set.
Step 200, determining index values corresponding to the SAR data points according to a preset index rule.
Specifically, an index rule is preset, and an index value corresponding to each SAR data point is determined. The indexing rules may be determined based on coordinates, attribute values, etc. of each SAR data point. The index value may be in the form of a number, a letter, a special symbol, a combination, etc., and each SAR data point corresponds to a certain index value, and one index value may correspond to a plurality of different SAR data points.
Further, the index rules include attribute index rules, region index rules, and hybrid index rules, and the index values include attribute index values, region index values, and hybrid index values.
The attribute index rule is an index rule for determining a corresponding attribute index value according to the attribute value of each SAR data point;
the regional index rule is an index rule for determining a corresponding regional index value according to coordinates of each SAR data point;
the mixed index rule is an index rule for determining a corresponding mixed index value according to coordinates and attribute values of each SAR data point.
Specifically, the SAR data points may have certain properties, such as deformation, after initial acquisition. Taking deformation as an example, the obtained SAR data points have the deformation value range of 1-100 mm, then dividing the deformation value into two groups, wherein one group is 1-50 mm, the other group is 51-100 mm, then taking the first attribute index value as the index value corresponding to the first group of data points, and taking the second attribute index value as the index value corresponding to the second group of data points.
When each SAR data point is acquired, the coordinates of each SAR data point are recorded according to the position and the direction of the sending radar, and the region index rule is to determine the corresponding region index value according to the coordinates of each SAR data point. For example, three SAR data points, one of which is located in market a, the other two of which are located in market B, and two of which are located in market B, one of which is located in region C and one of which is located in region D, are respectively corresponding to the region index values of market a, market B-C and market B-D according to the region in which they are located.
The attribute values and coordinates of the SAR data points do not conflict, and the attribute values of the SAR data points corresponding to different coordinates can be the same or different. The mixed index rule refers to an index rule for determining a corresponding index value according to two aspects of coordinates and attribute values, and the specific process is similar to the attribute index rule and the region index rule, and is not repeated here.
Besides the three index rules, the method can also comprise a custom index rule, wherein the custom index rule is that a user sets different index rules according to different requirements. For example, the user gives weight values of different gradients according to the importance of each SAR data point, and the weight values of the same gradient correspond to the same index value, so that when the SAR data point is visualized, the data can be visualized according to the importance of the SAR data point and the like so as to meet different requirements of the user.
Further, step S200 includes:
step S211, if the index rule is the attribute index rule, creating an attribute index value corresponding to a preset Nth scale layer according to the number of preset scale layers, wherein N is a positive number less than or equal to M, and the numerical scale of the Nth-1 scale layer equal to the number of the scale layers is less than the Nth scale layer.
In particular, a visualization of different scale layers may be provided in the SAR data point visualization plug-in. The number of the scale layers can be set in a program, or can be set according to the size of a numerical scale input by a user, for example, the minimum value of the numerical scale input by the user is 1:10000, the maximum value is 1:100, and according to the difference value of the minimum value and the maximum value, the multiple between the previous layer and the next layer is preset to be 10, three scale layers exist, and the numerical scales are 1:10000, 1:1000 and 1:100 respectively. And then randomly selecting three index values from a preset index value library, and corresponding to each layer, thereby creating attribute index values corresponding to each scale layer. For example, the first scale layer has a numerical scale of 1:10000, the corresponding index value is "001", the second scale layer has a numerical scale of 1:1000, the corresponding index value is "002", the third scale layer has a numerical scale of 1:100, and the corresponding index value is "003".
Step S212, determining an attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point.
Specifically, according to the attribute values of the SAR data points, a plurality of attribute value ranges may be divided, and each attribute value range corresponds to a preset respective scale layer. For example, a first scale layer loads SAR data points with small deformation values, a second scale layer loads SAR data points with medium deformation values, and a third scale layer loads SAR data points with large deformation values. And then determining the attribute value range corresponding to each preset Nth scale layer according to the deformation value of the SAR data point. The method for determining the attribute value ranges is that the maximum value and the minimum value of the deformation value are used as the maximum value and the minimum value of the initial range, and then the initial range is divided into a plurality of equal-length equal-division parts according to the number of layers, so that a plurality of attribute value ranges are obtained.
Further, in order to load the loading rate of the SAR data points corresponding to the same attribute index value, step S212 includes:
in step S2121, an initial numerical range corresponding to the first scale layer to the M-1 scale layer and a residual numerical range corresponding to the M-1 scale layer are created according to the attribute values of the SAR data points.
In this embodiment, the number of layers is 3, so 2 initial numerical ranges and 1 residual numerical range are created first according to the attribute values of the SAR data points. For example, SAR data points with attribute values of 1-100 mm, initial values of 1-333 mm and 334-666 mm are established, and residual values of 667-100 mm are established.
Step S2122 is to determine whether the number of SAR data points corresponding to the same initial numerical range is less than or equal to a preset loading number threshold.
Specifically, in the first implementation, the number of SAR data points corresponding to an initial numerical range of 1-333 mm is 100, and the number of SAR data points corresponding to an initial numerical range of 334-666 mm is 110. In a second implementation, the number of SAR data points corresponding to an initial value range of 1-333 mm and an initial value range of 334-666 mm are both 100.
Step S2123, if yes, determining the initial numerical range as the attribute value range corresponding to the corresponding nth scale layer.
Specifically, in the second implementation process, the number of SAR data points corresponding to each initial numerical range is smaller than or equal to the loading number threshold, and the loading speed is faster when loading is performed subsequently, so that the initial numerical range is the attribute value range.
Step S2124, if not, adjusting the initial numerical range and the residual numerical range so that the number of SAR data points corresponding to each initial numerical range is smaller than or equal to the loading number threshold, and generating attribute value ranges corresponding to each nth scale layer.
Specifically, in the first implementation process, the number of SAR data points corresponding to the initial numerical range of 334-666 mm is greater than the loading number threshold 100, so that the initial numerical range needs to be adjusted so that the number of SAR data points corresponding to each initial numerical range is less than or equal to the loading number threshold. Only the initial values meeting this condition are attribute value ranges.
In addition, the number of SAR data points corresponding to the residual numerical range is the total number of SAR data points minus the number of SAR data points corresponding to all of the initial numerical ranges.
Step S213, determining attribute index values corresponding to the SAR data points according to the attribute value range.
Specifically, after the attribute value range is determined, since the attribute value ranges corresponding to each scale layer are different, the attribute index value corresponding to each SAR data point can be determined according to the attribute value of each SAR data point.
In the second implementation manner of this embodiment, the adopted index rule is a region index rule, and step S200 further includes:
step S221, if the index rule is the region index rule, dividing the SAR data point into a first region SAR data point set corresponding to each preset primary region range according to the coordinates of the SAR data point.
Specifically, the area ranges of different grades are preset, wherein the first-level area range comprises a plurality of second-level area ranges, the second-level area range comprises a plurality of third-level area ranges, and the … … M-1-level area range comprises a plurality of M-level area ranges.
And if the index rule is the region index rule, determining the corresponding relation between each SAR data point and each primary region range according to the coordinates of the SAR data points, so as to generate a plurality of first region SAR data point sets.
Step S222, dividing the attribute values of the SAR data points in the first regional SAR data point set into a first loaded SAR data point set and a first to-be-divided SAR data point set according to the preset loading quantity threshold and the attribute values of the SAR data points.
Specifically, the first regional SAR data point set is a data point set divided according to coordinates, but when loading, if loading is directly performed according to regions, the size of each first regional division is different, and if loading is directly performed according to coordinates of SAR data points, too slow loading is likely to occur, and when the regional division is performed in the opposite direction by using the data amount of SAR data points, the regional division may be too different from the actual region, and the effectiveness of the data is poor. For example, 100 SAR data points are all located on a Y street, and if a user wants to see the acquired SAR data points of B city including the Y street, the SAR data points of the Y street may not be loaded normally only after loading.
In this embodiment, therefore, the SAR data points in the first regional SAR data point set are divided into a first loaded SAR data point set and a first to-be-divided SAR data point set according to the attribute values of the respective SAR data points. The first loaded SAR data point set represents a first area, and when a subsequent user wants to view SAR data points comprising the first area, data points in the first loaded SAR data point set are loaded.
Step S223, dividing the SAR data points in the first to-be-divided SAR data point set into a second regional SAR data point set corresponding to the preset secondary regional range according to the coordinates of the SAR data points.
Specifically, according to the coordinates of the SAR data points and a preset secondary region range, the SAR data points in the first to-be-divided SAR data point set are divided into a second region SAR data point set.
Step S224, repeatedly and iteratively grouping all SAR data points in the N-th region SAR data point set until an M-1-th loaded SAR data point set and an M-1-th SAR data point set to be divided are obtained, and taking the M-1-th SAR data point set to be divided as the M-th loaded SAR data point set.
Specifically, by analogy, the above-mentioned regional SAR data point sets and the regional SAR data point sets to be divided at each level are repeatedly executed iteratively according to the regional scope at each level until N=M-1, and the M-1 loaded SAR data point set and the M-1 SAR data point set to be divided are obtained, because M is equal to the number of layers, the M-1 SAR data point set to be divided does not need to be divided in the next step, and the M-1 SAR data point set to be divided is used as the M loaded data point set.
For example, the primary area ranges are a city and a city, the secondary area ranges are a region C and a region D in the city, the region C has a region D and a region E, the first index values corresponding to the city a and the city B are "a100" and "a200", respectively, the second index values corresponding to the region C and the region D are "a210" and "a220", respectively, and the third index values corresponding to the region D and the region E are "a211" and "a212", respectively. Thus, the first attribute value corresponding to the first loaded SAR data point corresponding to the A market is "A100", and the second attribute value corresponding to the second loaded SAR data point corresponding to the D region is "A220".
Step S225, determining the region index value corresponding to the SAR data point in each N-th loading SAR data point set according to the region index value corresponding to each N-th region layer.
Specifically, each region range corresponds to a region index value, for example, three secondary region ranges, each secondary region range corresponds to a secondary region index value, and according to the secondary region ranges corresponding to the respective second loaded SAR data points, the secondary region index value corresponding to the respective SAR data points in the second loaded SAR data point set may be determined.
Step S300, when a display instruction is received, determining a target index value in the index values according to target information in the display instruction.
Specifically, the user can input a display instruction through a keyboard and a mouse and the like, analyze the display instruction and generate target information in the target display instruction. The target information is used for determining the level of the layer to be displayed, and can be the attribute of the layer, such as a scale, a region range, or a sequence number of the layer.
For example, when the user inputs a layer with a scale of 1:100, the user determines, according to the value, a layer with a scale of 1:100, i.e. a third layer with a scale that the user wants to watch. And then taking the first to third attribute index values as target index values according to the first scale layer.
Further, step S300 includes:
step S310, when a display instruction is received, determining a layer to be displayed according to target information in the target instruction.
Specifically, if the layer is a scale layer, when a display instruction is received, the display instruction is analyzed to obtain target information, and then according to the target information, the corresponding sequence number is determined to be the target sequence number of the layer to be displayed.
For example, in this embodiment, the target sequence number of the layer to be displayed is three.
If the layer to be displayed is a regional layer, when a display instruction is received, the display instruction is analyzed to obtain target information, wherein the target information comprises a target regional range of the layer to be displayed.
And determining the layer to be displayed according to the target area range.
For example, if the target information is that the area to be displayed is the C area, the layer to be displayed is the third layer of the area layer, and the corresponding three-level area range is the C area.
Step S320, taking the corresponding index value as the target index value according to the layer to be displayed.
Specifically, according to the target sequence number of the to-be-displayed layer being three, a sequence number value with a sequence number equal to three in the index values is used as the target index value, for example, the third attribute index value.
Step S400, loading the corresponding SAR data point into a preset blank image according to the target index value, and generating a target display image.
Specifically, after determining the target index value, loading the corresponding SAR data points into the blank image layer according to the target index value from the beginning in sequence according to the index value to generate the target display image.
Taking the deformation value as an attribute value to determine an attribute index value as an example, firstly loading the SAR data point with the attribute index value of 001, then loading the SAR data point with the attribute index value of 002, finally loading the SAR data point with the index value of 003, and generating a target display image when the last data point is loaded.
Further, referring to fig. 2 and 3, wherein the black dots represent the newly loaded SAR data points for the later layer; step S400 includes:
step S410, according to the index value corresponding to the first region layer or the first scale layer, loading the corresponding SAR data point into a preset blank image to generate an initial image.
Specifically, the first index value includes the first attribute index value and the first region index value of the foregoing. In a first implementation manner of this embodiment, according to the first attribute index value, the SAR data point corresponding to the first attribute index value is loaded into a preset blank image to generate an initial image. As shown in fig. 2, according to the attribute index value corresponding to the first scale layer, the SAR data points belonging to B city are loaded into the blank image to obtain the initial image.
In a second real-time manner of this embodiment, according to the first region index value, the SAR data points corresponding to the first region index value are loaded into a preset blank image to generate an initial image. As shown in fig. 3, the SAR data points belonging to B city are loaded into the blank image according to the corresponding region index value of the first region layer, so as to obtain the initial image.
Step S420, iteratively and repeatedly executing the index value corresponding to the Nth region layer or the Nth scale layer, loading the corresponding SAR data point into the initial image until the index value corresponding to the currently loaded SAR data point is equal to the target index value, and generating the target display image.
Specifically, in the first implementation manner of this embodiment, the corresponding SAR data point is loaded into the initial image according to the second attribute index value to obtain the second image, and finally the corresponding SAR data point is loaded into the second image according to the third attribute index value to obtain the third image. Since the target index value is the third attribute index value, the third image is the target display image.
In a second implementation manner of this embodiment, the corresponding SAR data point is loaded into the initial image according to the second region index value to obtain a second image, and finally the corresponding SAR data point is loaded into the second image according to the third region index value to obtain a third image. Since the target index value is the third region index value, the third image is the target display image.
In addition, if the mixed index rule is adopted to create the index value of each SAR data point, the SAR data points can be loaded according to the loading mode corresponding to the attribute value index rule and then loaded according to the loading mode corresponding to the regional index value rule or alternatively performed by interleaving the two. For example, when loading the SAR data points corresponding to the B-city area range, the SAR data points corresponding to the B-city area range are sequentially loaded by adopting an attribute value index rule.
Further, as shown in fig. 4, based on the above SAR data point visualization method, the present invention further provides an intelligent terminal, which includes a processor 10, a memory 20, and a display 30. Fig. 4 shows only some of the components of the intelligent terminal, but it should be understood that not all of the illustrated components are required to be implemented, and more or fewer components may alternatively be implemented.
The memory 20 may in some embodiments be an internal storage unit of the smart terminal, such as a hard disk or a memory of the smart terminal. The memory 20 may also be an external storage device of the Smart terminal in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like. Further, the memory 20 may also include both an internal storage unit and an external storage device of the smart terminal. The memory 20 is used for storing application software installed in the intelligent terminal and various data, such as program codes for installing the intelligent terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 has stored thereon a SAR data point visualization plug-in 40, which SAR data point visualization plug-in 40 is executable by the processor 10 to implement the SAR data point visualization method of the present application.
The processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 20, for example, for performing the SAR data point visualization method, etc.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 30 is used for displaying information on the intelligent terminal and for displaying a visual user interface. The components 10-30 of the intelligent terminal communicate with each other via a system bus.
In one embodiment, the following steps are implemented when the processor 10 executes the SAR data point visualization plug-in 40 in the memory 20:
acquiring SAR data points to be loaded;
determining index values corresponding to the SAR data points according to a preset index rule;
when a display instruction is received, determining a target index value in the index values according to target information in the display instruction;
and loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image.
The index rule comprises an attribute index rule and a region index rule, and the index value comprises an attribute index value and a region index value;
the attribute index rule is an index rule for determining a corresponding attribute index value according to the attribute value of each SAR data point;
the region index rule is an index rule for determining a corresponding region index value according to coordinates of each SAR data point.
The determining, according to a preset index rule, an index value corresponding to each SAR data point specifically includes:
if the index rule is the attribute index rule, creating an attribute index value corresponding to a preset Nth scale layer according to the number of the preset scale layers, wherein N is a positive number smaller than or equal to the number of the scale layers, and the numerical scale of the N-1 th scale layer is smaller than the numerical scale of the Nth scale layer;
determining an attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point;
and determining attribute index values corresponding to the SAR data points according to the attribute value range.
The determining, according to the attribute value of the SAR data point, the attribute value range corresponding to the nth scale layer specifically includes:
Establishing an initial numerical range corresponding to the first scale layer to the M-1 scale layer and a residual numerical range corresponding to the M scale layer according to the attribute values of the SAR data points;
judging whether the number of SAR data points corresponding to the same initial numerical range is smaller than or equal to a preset loading number threshold value or not;
if yes, determining the initial numerical range as an attribute value range corresponding to the corresponding Nth scale layer;
and if not, adjusting the initial numerical range and the residual numerical range so that the number of SAR data points corresponding to each initial numerical range is smaller than or equal to the loading number threshold value, and generating an attribute value range corresponding to an Nth scale layer.
The determining, according to a preset index rule, an index value corresponding to each SAR data point specifically includes:
if the index rule is the region index rule, dividing the SAR data point into a first region SAR data point set corresponding to each preset first-level region range according to coordinates of the SAR data point, wherein an N-level region range is a region range corresponding to a preset N-th region layer;
according to a preset loading quantity threshold value and attribute values of all SAR data points, attribute values of all SAR data points in a first regional SAR data point set are divided into a first loading SAR data point set and a first to-be-divided SAR data point set;
Dividing SAR data points in the first SAR data point set to be divided into a second area SAR data point set corresponding to a preset secondary area range according to coordinates of the SAR data points;
iteratively and repeatedly executing grouping of all SAR data points in the N-th region SAR data point set until an M-1 loaded SAR data point set and an M-1 to-be-divided SAR data point set are obtained, and taking the M-1 to-be-divided SAR data point set as the M loaded SAR data point set;
and determining the region index value corresponding to the SAR data point in each N-th loading SAR data point set according to the region index value corresponding to each N-th region layer.
When receiving a display instruction, determining a target index value in the index values according to target information in the display instruction, wherein the method specifically comprises the following steps:
when a display instruction is received, determining a layer to be displayed according to target information in the target instruction;
and taking the corresponding index value as a target index value according to the layer to be displayed.
The step of loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image specifically comprises the following steps:
loading corresponding SAR data points into a preset blank image according to the index value corresponding to the first regional layer or the first scale layer to generate an initial image;
And iteratively and repeatedly executing the corresponding index value according to the Nth region layer or the Nth scale layer, loading the corresponding SAR data point into the initial image until the index value corresponding to the currently loaded SAR data point is equal to the target index value, and generating a target display image.
Before the SAR data point to be loaded is acquired, the method further comprises:
presetting a plurality of groups of test data sets, loading each group of test data sets in sequence, and recording loading time of each loading;
calculating the loading speeds corresponding to different numbers of test data sets according to the loading time and the number of the test points in the corresponding test data sets;
the loading speed corresponding to the former loaded test data set is the reduced number, the reduced number corresponding to the latter loaded test data set is calculated, and the speed change value corresponding to the latter loaded test data set is calculated;
and taking the data volume of the test data set corresponding to the maximum speed change value in the speed change values as a loading quantity threshold value.
The invention also provides a storage medium storing a SAR data point visualization plug-in which, when executed by a processor, implements the steps of the SAR data point visualization method as described above.
Of course, those skilled in the art will appreciate that implementing all or part of the above-described methods may be implemented by a computer program for instructing relevant hardware (such as a processor, a controller, etc.), where the program may be stored in a computer-readable storage medium, and where the program may include the steps of the above-described method embodiments when executed. The storage medium may be a memory, a magnetic disk, an optical disk, or the like.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.

Claims (7)

1. A SAR data point visualization method, comprising:
acquiring SAR data points to be loaded;
determining index values corresponding to the SAR data points according to a preset index rule;
the index rule comprises an attribute index rule and a region index rule, and the index value comprises an attribute index value and a region index value;
the attribute index rule is an index rule for determining a corresponding attribute index value according to the attribute value of each SAR data point;
The regional index rule is an index rule for determining a corresponding regional index value according to coordinates of each SAR data point;
the determining the index value corresponding to each SAR data point according to the preset index rule specifically includes:
if the index rule is the attribute index rule, creating an attribute index value corresponding to a preset Nth scale layer according to the number of the preset scale layers, wherein N is a positive number smaller than or equal to the number of the scale layers, and the numerical scale of the N-1 th scale layer is smaller than the numerical scale of the Nth scale layer;
determining an attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point;
determining attribute index values corresponding to all SAR data points according to the attribute value range;
the determining, according to the attribute value of the SAR data point, the attribute value range corresponding to the nth scale layer specifically includes:
establishing an initial numerical range corresponding to a first scale layer to an M-1 scale layer and a residual numerical range corresponding to an M scale layer according to the attribute values of the SAR data points, wherein M is equal to the number of the scale layers;
Judging whether the number of SAR data points corresponding to the same initial numerical range is smaller than or equal to a preset loading number threshold value or not;
if yes, determining the initial numerical range as an attribute value range corresponding to the corresponding Nth scale layer;
if not, the initial numerical value range and the residual numerical value range are adjusted so that the number of SAR data points corresponding to each initial numerical value range is smaller than or equal to the loading number threshold value, and an attribute value range corresponding to an Nth scale layer is generated;
when a display instruction is received, determining a target index value in the index values according to target information in the display instruction; and loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image.
2. The SAR data point visualization method according to claim 1, wherein the determining the index value corresponding to each SAR data point according to the preset index rule specifically comprises:
if the index rule is the region index rule, dividing the SAR data point into a first region SAR data point set corresponding to each preset first-level region range according to coordinates of the SAR data point, wherein an N-level region range is a region range corresponding to a preset N-th region layer;
According to a preset loading quantity threshold value and attribute values of all SAR data points, attribute values of all SAR data points in a first regional SAR data point set are divided into a first loading SAR data point set and a first to-be-divided SAR data point set;
dividing SAR data points in the first SAR data point set to be divided into a second area SAR data point set corresponding to a preset secondary area range according to coordinates of the SAR data points;
iteratively and repeatedly executing grouping of all SAR data points in the N-th region SAR data point set until an M-1 loaded SAR data point set and an M-1 to-be-divided SAR data point set are obtained, and taking the M-1 to-be-divided SAR data point set as the M loaded SAR data point set;
and determining the region index value corresponding to the SAR data point in each N-th loading SAR data point set according to the region index value corresponding to each N-th region layer.
3. The SAR data point visualization method of claim 2, wherein when a display instruction is received, determining a target index value of the index values according to target information in the display instruction, specifically comprises:
when a display instruction is received, determining a layer to be displayed according to target information in the display instruction;
And taking the corresponding index value as a target index value according to the layer to be displayed.
4. The SAR data point visualization method according to claim 3, wherein loading the corresponding SAR data point into a preset blank image according to the target index value, and generating a target display image, specifically comprises:
loading corresponding SAR data points into a preset blank image according to the index value corresponding to the first regional layer or the first scale layer to generate an initial image;
and iteratively and repeatedly executing the corresponding index value according to the Nth region layer or the Nth scale layer, loading the corresponding SAR data point into the initial image until the index value corresponding to the currently loaded SAR data point is equal to the target index value, and generating a target display image.
5. The SAR data point visualization method of any of claims 1-4, wherein prior to the acquiring the SAR data point to be loaded, further comprising:
presetting a plurality of groups of test data sets, loading each group of test data sets in sequence, and recording loading time of each loading;
calculating the loading speeds corresponding to different numbers of test data sets according to the loading time and the number of the test points in the corresponding test data sets;
The loading speed corresponding to the former loaded test data set is the reduced number, the reduced number corresponding to the latter loaded test data set is calculated, and the speed change value corresponding to the latter loaded test data set is calculated;
and taking the data volume of the test data set corresponding to the maximum speed change value in the speed change values as a loading quantity threshold value.
6. An intelligent terminal, characterized in that, the intelligent terminal includes: a memory, a processor, and a SAR data point visualization plug-in stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the SAR data point visualization method of any of claims 1-5.
7. A storage medium storing a SAR data point visualization plug-in which when executed by a processor implements the steps of the SAR data point visualization method of any of claims 1-5.
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