CN112462366A - SAR data point visualization method, intelligent terminal and storage medium - Google Patents
SAR data point visualization method, intelligent terminal and storage medium 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
- G01S13/89—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
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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
- G01S13/9094—Theoretical aspects
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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
- G01S7/04—Display arrangements
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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
Abstract
The invention discloses an SAR data point visualization method, an intelligent terminal and a storage medium, wherein the method comprises the following steps: acquiring an SAR data point to be loaded; determining an index value corresponding to each SAR data point 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 can effectively improve the loading rate of the SAR data points.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an SAR data point visualization method, an intelligent terminal and a storage medium.
Background
The earth observation method is generally provided with traditional geodetic leveling and measurement by a photoelectric distance meter, but the cost is high and is limited by factors such as regions. Synthetic Aperture Radar (SAR) is a space-to-ground observation technology developed in recent 20 years, after SAR data is acquired, an interferometric technique (interferometric Synthetic Aperture Radar) and a differential interferometric technique D-InSAR (differential interferometric Synthetic Aperture Radar) are adopted to further acquire a ground elevation model and changes of ground elevation. Compared with the traditional earth observation technology, the SAR acquisition can be realized through a satellite, is not limited by regions any more, and can be all-weather all-day and has strong penetrating power. However, the conventionally collected SAR data is very much, so in the middle and later years of the last century, some scholars at home and abroad propose the PS-InSAR technology aiming at the limitation of the traditional technology, and the first representative is the experiment of Ferretti et al in Italy. The PS-InSAR technique only interferometrically analyzes and processes objects inside the imaging area, such as the interior of buildings, dams, and bridges, for which the scattering properties are relatively stable. That is, a large number of unstable points are abandoned, and only the stable points are subjected to adaptation processing, so that the reliability of the obtained deformation measurement result is improved.
However, as the analysis area and the data amount become larger, the number of target points obtained increases even when the target points acquired by the InSAR are screened. At this time, the target points are loaded to the map in a conventional synchronous loading manner, and the loading speed becomes slower with the increase of the number of the points, so that the processing efficiency of the whole SAR data is reduced.
Disclosure of Invention
The invention mainly aims to provide an SAR data point visualization method, an intelligent terminal and a storage medium, and aims to solve the problem that in the prior art, the visualization speed is low when SAR data points are excessive.
In order to achieve the above object, the present invention provides an SAR data point visualization method, comprising the steps of:
acquiring an SAR data point to be loaded;
determining an index value corresponding to each SAR data point 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 rules comprise attribute index rules and area index rules, and the index values comprise attribute index values and area 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 region index rule is an index rule for determining a corresponding region index value according to the coordinates of each SAR data point.
Wherein, according to a preset index rule, determining 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 proportional scale layer according to the number of the preset proportional scale layers, wherein N is a positive number less than or equal to the number of the proportional scale layers, and the numerical scale of the (N-1) th proportional scale layer is less than the numerical scale of the Nth proportional 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 an attribute index value corresponding to each SAR data point according to the attribute value range.
Determining an attribute value range corresponding to the nth scale layer according to the attribute value of the SAR data point specifically includes:
according to the attribute value of the SAR data point, establishing an initial numerical range corresponding to a first proportional scale layer to an M-1 proportional scale layer and a residual numerical range corresponding to the M proportional scale layer;
judging 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 value or not;
if so, determining the initial numerical value range as an attribute value range corresponding to the corresponding Nth scale layer;
if not, adjusting the initial value range and the residual value range to enable the number of SAR data points corresponding to each initial value range to be smaller than or equal to the loading number threshold, and generating an attribute value range corresponding to the Nth scale layer.
Wherein, according to a preset index rule, determining an index value corresponding to each SAR data point specifically includes:
if the index rule is the regional index rule, dividing the SAR data points into a first regional SAR data point set corresponding to each preset primary regional range according to the coordinates of the SAR data points, wherein the N-level regional range is a regional range corresponding to a preset Nth regional layer;
dividing the attribute value of each SAR data point in a first region SAR data point set into a first loading SAR data point set and a first to-be-divided SAR data point set according to a preset loading quantity threshold and the attribute value of each SAR data point;
according to the coordinates of the SAR data points, dividing the SAR data points in the first to-be-divided SAR data point set into a second region SAR data point set corresponding to a preset second-level region range;
iteratively and repeatedly executing grouping of each SAR data point in the Nth area 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 an Mth loaded SAR data point set;
and determining the corresponding area index value of the SAR data point in each Nth loaded SAR data point set according to the corresponding area index value of each Nth area layer.
When a display instruction is received, determining a target index value in the index values according to target information in the display instruction, specifically including:
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.
Loading the corresponding SAR data point into a preset blank image according to the target index value to generate a target display image, wherein the method specifically comprises the following steps:
loading corresponding SAR data points into a preset blank image according to the index value corresponding to the first area layer or the first scale layer to generate an initial image;
and iteratively and repeatedly executing, according to the index value corresponding to the Nth area 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 obtaining of the SAR data point to be loaded, the method further includes:
presetting a plurality of groups of test data sets, sequentially loading each group of test data sets, and recording the loading time of each loading;
calculating the loading speed 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;
taking the loading speed corresponding to the previous loaded test data set as a decrement, calculating the speed change value corresponding to the next loaded test data set according to the decrement corresponding to the next loaded test data set;
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, wherein 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, the SAR data point visualization plug-in when executed by the processor implementing the steps of the SAR data point visualization method as described above.
Furthermore, 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, when executed by a processor, implements the steps of the SAR data point visualization method as described above.
After SAR data points to be loaded are obtained, an index value is established for each SAR data point, when a display instruction is received, a finally loaded target index value is determined according to target information in the display instruction, then corresponding SAR data points are found according to the target index value and are sequentially loaded into a blank image, and therefore a display target image is generated. In order to ensure that each loading can be carried out at the fastest speed, in the scheme, only one SAR data point corresponding to one index value is loaded in each loading by limiting the number of the SAR data points corresponding to each index value. In addition, the invention also provides two ways of establishing indexes, 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 SAR data point display method can realize the gradual display of the SAR data point according to a certain attribute value according to the attribute value of the SAR data point; the latter can lock the fixed region for display to pinpoint the SAR data point within the region 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 index rules provided by the SAR data point visualization method of the present invention;
FIG. 3 is a schematic diagram of SAR data point loading based on a region index rule provided by the SAR data point visualization method of the present invention;
fig. 4 is a schematic operating environment diagram of an intelligent 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 clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the SAR data point visualization method according to the preferred embodiment of the present invention includes the following steps:
and step S100, acquiring an SAR data point to be loaded.
Specifically, The execution subject of The embodiment is an SAR data point visualization program or an SAR visualization plug-in installed in SAR data processing software, for example, software such as a complete remote sensing image processing platform (The Environment for visualization Images, ENVI). The specified position is read first to obtain the SAR data point to be loaded. In this embodiment, the SAR data points may be collected by a vehicle or satellite-borne instrument.
Further, in this embodiment, since parameters and performance of each device are different, the efficiency of running the SAR data point visualization plug-in on each device is different, 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 the loading time of each loading.
Specifically, a certain number of test data sets are acquired in advance, and the number of test data sets can be determined according to frequently used scenarios. The test data sets are divided into several groups and sequentially loaded, in this embodiment, the first group of test data sets is x test points, the number of the test points of the second group of test data sets is n, the number of the test points of the third group of test data sets is n … …, where x and n are both positive numbers.
The test data sets are sequentially loaded by taking a group as a unit, and corresponding loading starting time and loading ending time are recorded at the loading starting time and the loading ending time, for example, the loading starting time of the first group of test data sets is t10, and the loading ending time is t 11. And calculating 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 first set of test data sets corresponds to a load time T1-T11-T10.
And step S120, calculating the loading speed 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.
Specifically, the loading speed corresponding to each test data set is calculated according to the loading time and the number of the test points in the test number set, for example, the number of the test points in the first set of test data set is x, the loading time is T1, and therefore the loading speed is v1 ═ x/T1.
Step S130, taking the loading speed corresponding to the previous loaded test data set as a decrement, and calculating the speed change value corresponding to the next loaded test data set according to the decrement corresponding to the next loaded test data set.
Specifically, by subtraction, the speed change value corresponding to each test data set except the first set of test data sets is calculated, for example, the loading time of the second set of test data sets is T2, the loading speed v2 is (x + n)/T2, and the corresponding speed change value is Δ v2 is v1-v 2. The velocity change value is used to describe the magnitude of velocity change between different numbers of test data points.
Step S140, using the data volume of the test data set corresponding to the maximum speed variation value among the speed variation values as a loading quantity threshold.
Specifically, since the speed is necessarily slower and slower as the magnitude of the data point is higher and higher, the speed variation is a maximum. After the speed variation value corresponding to each group of test data sets is calculated, the data volume of the test data set corresponding to the maximum speed variation value is used as the threshold of the loading quantity in the embodiment. Therefore, when the number of loads is greater than the threshold, the loading speed is greatly reduced, and when the number of data points is actually loaded, the situation that the number of data points loaded each time is greater than the loading number threshold is avoided. For convenience of description, in this embodiment, the threshold value of the calculated loading number is 100.
In addition, in the embodiment, in order to compare the loading speeds, the difference of the number of test points in each group of test data sets is the same, but in an actual process, the number of test points in each test point set can be freely set.
And step S200, determining an index value corresponding to each SAR data point 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 index rule can be determined according to the coordinate, the attribute value and the like of each SAR data point. The index values can be in the forms of numbers, letters, special symbols, combinations and the like, the index value corresponding to each SAR data point is determined, and one index value can correspond to a plurality of different SAR data points.
Further, the index rules include an attribute index rule, a region index rule, and a mixture index rule, and the index values include an attribute index value, a region index value, and a mixture 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 the coordinates of each SAR data point;
the mixed index rule is an index rule for determining a corresponding mixed index value according to the coordinate and the attribute value of each SAR data point.
In particular, the SAR data points may have certain properties, such as deformation, after initial acquisition. Taking the deformation amount as an example, the numerical range of the obtained deformation amount of the SAR data point is 1-100 mm, then the obtained deformation amount of the SAR data point is divided into two groups, one group is 1-50 mm, and the other group is 51-100 mm, then the first attribute index value is used as the index value corresponding to the first group of data point, and the second attribute index value is used as the index value corresponding to the second group of data point.
And when each SAR data point is collected, the coordinate of the SAR data point is recorded according to the position and the direction of the radar, and the area index rule is to determine the corresponding area index value according to the coordinate of each SAR data point. For example, if there are three SAR data points, one of which is located in the city a, the other two are located in the city B, and two SAR data points located in the city B, one is located in the area C, and one is located in the area D, then according to the areas where the three SAR data points are located, the area index values corresponding to the three SAR data points are the area a, the area B-C, and the area B-D.
The attribute values and the coordinates of the SAR data points do not conflict, and the attribute values of the SAR data points corresponding to different coordinates may be the same or different. The hybrid index rule refers to an index rule that determines 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 area index rule and is not described herein again.
Besides the three index rules, the index system can also comprise a user-defined index rule, wherein the user-defined rule is that a user sets different index rules according to different requirements of the user. For example, a user assigns different gradient weight values according to the importance of each SAR data point, and the weight values located in the same gradient correspond to the same index value, so that data visualization can be performed according to the importance of the SAR data points and the like when SAR data point visualization is performed, 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 a preset number of scale layers, where N is a positive number less than or equal to M, and a numerical scale of the nth-1 scale layer, where M is equal to the number of scale layers, is less than the nth scale layer.
Specifically, the SAR data point visualization plug-in can provide visualization of different scale layers. 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 of the numerical scale input by the user is 1:100, according to the difference between the minimum value and the maximum value, the multiple between the previous layer and the next layer is preset to be 10, and then the number of the scale layers is three, and the numerical scales are respectively 1:10000, 1:1000 and 1: 100. And then randomly selecting three index values from a preset index value library, and corresponding to each layer, thereby creating an attribute index value corresponding to each scale layer. For example, the first scale layer has a numerical scale of 1:10000 and a corresponding index value of "001", the second scale layer has a numerical scale of 1:1000 and a corresponding index value of "002", the third scale layer has a numerical scale of 1:100 and a corresponding index value of "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 value of the SAR data point, a plurality of attribute value ranges may be divided, and each attribute value range is corresponding to each preset scale layer. For example, a first scale layer loads an SAR data point with a small deformation value, a second scale layer loads an SAR data point with a medium deformation value, and a third scale layer loads an SAR data point with a large deformation value. And then determining the attribute value range corresponding to each preset N scale layer according to the deformation value of the SAR data point. For example, 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 divisions with the same length according to the number of layers to obtain a plurality of attribute value ranges.
Further, in order to load the loading rates of the SAR data points corresponding to the same attribute index value, step S212 includes:
step S2121, according to the attribute value of the SAR data point, creating an initial numerical value range corresponding to the first proportional scale layer to the M-1 proportional scale layer and a residual numerical value range corresponding to the M proportional scale layer.
In this embodiment, the number of the layers is 3, so that 2 initial value ranges and 1 residual value range are created according to the attribute value of the SAR data point. For example, the attribute value of the SAR data point is 1-100 mm, the created initial value range is 1-333 mm and 334-666 mm, and the residual value range is 667-100 mm.
Step S2122, judging whether the number of the SAR data points corresponding to the same initial value range is less than or equal to a preset loading number threshold value.
Specifically, in the first implementation process, the number of SAR data points corresponding to an initial value range of 1 to 333mm is 100, and the number of SAR data points corresponding to an initial value range of 334 to 666mm is 110. In the second implementation process, the number of the SAR data points corresponding to the initial value range of 1-333 mm and the initial value range of 334-666 mm is 100.
And step S2123, if yes, determining the initial value range as an 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 value range is less than or equal to the loading number threshold, and the loading speed is faster in the subsequent loading, so that the initial value range is the attribute value range.
And step S2124, if not, adjusting the initial value range and the residual value range to enable the number of SAR data points corresponding to each initial value range to be smaller than or equal to the loading number threshold, and generating attribute value ranges corresponding to each N scale layer.
Specifically, in the first implementation process, the number of SAR data points corresponding to the initial value range of 334 to 666mm is greater than the loading number threshold 100, so that the initial value range needs to be adjusted so that the number of SAR data points corresponding to each initial value range is less than or equal to the loading number threshold. Only the initial value that meets this condition is the attribute value range.
Further, the number of SAR data points for the residual numerical range is the total number of SAR data points minus the number of SAR data points for all of the initial numerical ranges.
And step S213, determining the attribute index value corresponding to each SAR data point according to the attribute value range.
Specifically, after the attribute value range is determined, because 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 a second implementation manner of this embodiment, the adopted index rule is an area index rule, and step S200 further includes:
step S221, if the index rule is the area index rule, dividing the SAR data points into a first area SAR data point set corresponding to each preset primary area range according to the coordinates of the SAR data points.
Specifically, the region ranges of different levels are preset, wherein the primary region range includes a plurality of secondary region ranges, the secondary region range includes a plurality of tertiary region ranges, and the … … M-1 level region range includes a plurality of M level region ranges.
If the index rule is the regional index rule, determining the corresponding relation between each SAR data point and each primary regional range according to the coordinates of the SAR data points, and generating a plurality of first regional SAR data point sets.
Step S222, according to a preset loading quantity threshold and the attribute value of each SAR data point, dividing the SAR data point in the first area SAR data point set into a first loading SAR data point set and a first to-be-divided SAR data point set according to the attribute value of each SAR data point in the first area SAR data point set.
Specifically, the first SAR data point set is a data point set divided according to coordinates, but when loading is performed, if loading is directly performed according to the area, the size of each first area division is different, the data volume is also different, if loading is directly performed according to the coordinates of the SAR data points, a phenomenon that loading is too slow is likely to occur, and if area division is performed reversely by using the data volume of the SAR data points, the difference between the area division and an actual area may be too large, and the validity of data is poor. For example, 100 SAR data points are located on the Y street, and if the user wants to see the SAR data points collected in the B city including the Y street, the SAR data points of the Y street may not be loaded normally after being loaded.
Therefore, in this embodiment, according to the attribute value of each SAR data point, the SAR data point in the first regional SAR data point set is divided into a first loaded SAR data point set and a first to-be-divided SAR data point set. The first loaded SAR data point set represents a first region, and data points in the first loaded SAR data point set are loaded when a subsequent user wants to view SAR data points including the first region.
Step S223, according to the coordinates of the SAR data points, dividing the SAR data points in the first to-be-divided SAR data point set into a second region SAR data point set corresponding to a preset second-level region range.
Specifically, according to the coordinates of the SAR data points and a preset second-level 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, iteratively and repeatedly executing grouping of each SAR data point in the Nth area SAR data point set until an M-1-th loading 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 an M-th loading SAR data point set.
Specifically, by analogy, iteratively and repeatedly executing the above steps according to the range of each stage, determining the regional SAR data point set and each stage of SAR data point sets to be divided until N is equal to M-1, obtaining the M-1 th loaded SAR data point set and the M-1 th SAR data point set to be divided, wherein because M is equal to the number of layers, the M-1 th SAR data point set to be divided is not divided in the next step, and the M-1 th SAR data point set to be divided is used as the M-th loaded data point set.
For example, the first-level region ranges from city A to city B, the second-level region ranges from C and D in city B, the C includes D and E streets, the first index values corresponding to city A and city B are "A100" and "A200", respectively, the second index values corresponding to region C and region D are "A210" and "A220", respectively, and the third index values corresponding to street D and street E are "A211" and "A212", respectively. Therefore, the first attribute value corresponding to the first loaded SAR data point in city a is "a 100", and the second attribute value corresponding to the second loaded SAR data point in region D is "a 220".
Step S225, determining, according to the area index value corresponding to each nth-level area layer, an area index value corresponding to each SAR data point in each nth-loaded SAR data point set.
Specifically, each region range corresponds to one region index value, for example, there are three secondary region ranges, each secondary region range corresponds to one secondary region index value, and according to the secondary region range corresponding to each second loaded SAR data point, the secondary region index value corresponding to each SAR data point in the second loaded SAR data point set can be determined.
Step S300, when a display instruction is received, a target index value in the index values is determined according to target information in the display instruction.
Specifically, a user can input a display instruction through a keyboard, a mouse and the like, analyze the display instruction and generate target information in the target display instruction. The target information is used to determine the level of the layer to be displayed, and may be an attribute of the layer, such as a scale and an area range, or may be directly a sequence number of the layer.
For example, if the layer desired to be displayed is a scaled layer with a numerical scale of 1:100, the scaled layer with a scale of 1:100, which the user wants to view, is determined according to the numerical value, that is, the third scaled layer. 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 the area layer, when a display instruction is received, analyzing the display instruction to obtain target information, wherein the target information comprises a target area range of the layer to be displayed.
And determining a 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 region C, the layer to be displayed may be a third layer of the area layers, and the corresponding three-level area range is the region C.
Step S320, according to the layer to be displayed, using the corresponding index value as a target index value.
Specifically, according to that the target sequence number of the layer to be displayed is three, a sequence number value with a sequence number equal to three in the index values is used as a target index value, for example, the third attribute index value.
And S400, loading the corresponding SAR data points into a preset blank image according to the target index value to generate a target display image.
Specifically, after the target index value is determined, corresponding SAR data points are loaded into a blank layer from the beginning according to the target index value and the index value in sequence, and a target display image is generated.
Taking the above example of determining the attribute index value by taking the deformation value as the attribute value, the SAR data point with the attribute index value of "001" is loaded first, then the SAR data point with the attribute index value of "002" is loaded, and finally the SAR data point with the index value of "003" is loaded, and when the last data point is loaded, the target display image is generated.
Further, referring to fig. 2 and fig. 3, black dots represent newly loaded SAR data points in the next layer; step S400 includes:
step S410, loading the corresponding SAR data point into a preset blank image according to the index value corresponding to the first region layer or the first scale layer, and generating an initial image.
Specifically, the first index value includes the foregoing first attribute index value and first region index value. In a first implementation manner of this embodiment, an SAR data point corresponding to a first attribute index value is loaded into a preset blank image according to the first attribute index value, so as to generate an initial image. As shown in fig. 2, the SAR data points belonging to the B city are loaded into the blank image according to the attribute index value corresponding to the first scale layer to obtain an initial image.
In a second real-time manner of this embodiment, an SAR data point corresponding to a first region index value is loaded into a preset blank image according to the first region index value, so as to generate an initial image. As shown in fig. 3, the SAR data points belonging to the city B are loaded into the blank image according to the area index value corresponding to the first area map layer to obtain an initial image.
Step S420, iteratively and repeatedly executing the corresponding SAR data points to be loaded into the initial image according to the index value corresponding to the nth area layer or the nth scale layer 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.
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 area index value, the third image is the target display image.
In addition, if a mixed index rule is adopted to create the index value of each SAR data point, during loading, the SAR data points may 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 area index value rule, or the two may be performed alternately. For example, when loading the SAR data points corresponding to the B city region range, the SAR data points corresponding to the B city region range are sequentially loaded by using the attribute value index rule.
Further, as shown in fig. 4, based on the above SAR data point visualization method, the present invention also 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 smart terminal, but it should be understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
The memory 20 may be an internal storage unit of the intelligent terminal in some embodiments, such as a hard disk or a memory of the intelligent 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), and the like, which are provided on the Smart terminal. 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 of the installed 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, and the 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 be, in some embodiments, a Central Processing Unit (CPU), a microprocessor or other data Processing chip, and is configured to execute program codes stored in the memory 20 or process data, such as executing the SAR data point visualization method.
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 panel, or the like in some embodiments. The display 30 is used for displaying information at 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 an embodiment, the following steps are implemented when the processor 10 executes the SAR data point visualization plug-in 40 in the memory 20:
acquiring an SAR data point to be loaded;
determining an index value corresponding to each SAR data point 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 rules comprise attribute index rules and area index rules, and the index values comprise attribute index values and area 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 region index rule is an index rule for determining a corresponding region index value according to the coordinates of each SAR data point.
Wherein, according to a preset index rule, determining 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 proportional scale layer according to the number of the preset proportional scale layers, wherein N is a positive number less than or equal to the number of the proportional scale layers, and the numerical scale of the (N-1) th proportional scale layer is less than the numerical scale of the Nth proportional 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 an attribute index value corresponding to each SAR data point according to the attribute value range.
Determining an attribute value range corresponding to the nth scale layer according to the attribute value of the SAR data point specifically includes:
according to the attribute value of the SAR data point, establishing an initial numerical range corresponding to a first proportional scale layer to an M-1 proportional scale layer and a residual numerical range corresponding to the M proportional scale layer;
judging 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 value or not;
if so, determining the initial numerical value range as an attribute value range corresponding to the corresponding Nth scale layer;
if not, adjusting the initial value range and the residual value range to enable the number of SAR data points corresponding to each initial value range to be smaller than or equal to the loading number threshold, and generating an attribute value range corresponding to the Nth scale layer.
Wherein, according to a preset index rule, determining an index value corresponding to each SAR data point specifically includes:
if the index rule is the regional index rule, dividing the SAR data points into a first regional SAR data point set corresponding to each preset primary regional range according to the coordinates of the SAR data points, wherein the N-level regional range is a regional range corresponding to a preset Nth regional layer;
dividing the attribute value of each SAR data point in a first region SAR data point set into a first loading SAR data point set and a first to-be-divided SAR data point set according to a preset loading quantity threshold and the attribute value of each SAR data point;
according to the coordinates of the SAR data points, dividing the SAR data points in the first to-be-divided SAR data point set into a second region SAR data point set corresponding to a preset second-level region range;
iteratively and repeatedly executing grouping of each SAR data point in the Nth area 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 an Mth loaded SAR data point set;
and determining the corresponding area index value of the SAR data point in each Nth loaded SAR data point set according to the corresponding area index value of each Nth area layer.
When a display instruction is received, determining a target index value in the index values according to target information in the display instruction, specifically including:
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.
Loading the corresponding SAR data point into a preset blank image according to the target index value to generate a target display image, wherein the method specifically comprises the following steps:
loading corresponding SAR data points into a preset blank image according to the index value corresponding to the first area layer or the first scale layer to generate an initial image;
and iteratively and repeatedly executing, according to the index value corresponding to the Nth area 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 obtaining of the SAR data point to be loaded, the method further includes:
presetting a plurality of groups of test data sets, sequentially loading each group of test data sets, and recording the loading time of each loading;
calculating the loading speed 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;
taking the loading speed corresponding to the previous loaded test data set as a decrement, calculating the speed change value corresponding to the next loaded test data set according to the decrement corresponding to the next loaded test data set;
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 present invention also provides a storage medium, wherein the storage medium stores 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, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (10)
1. A SAR data point visualization method is characterized by comprising the following steps:
acquiring an SAR data point to be loaded;
determining an index value corresponding to each SAR data point 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.
2. The SAR data point visualization method of claim 1, wherein the index rules comprise attribute index rules and region index rules, and the index values comprise attribute index values and region 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 region index rule is an index rule for determining a corresponding region index value according to the coordinates of each SAR data point.
3. The SAR data point visualization method according to claim 2, wherein the determining an index value corresponding to each SAR data point according to a preset index rule specifically includes:
if the index rule is the attribute index rule, creating an attribute index value corresponding to a preset Nth proportional scale layer according to the number of the preset proportional scale layers, wherein N is a positive number less than or equal to the number of the proportional scale layers, and the numerical scale of the (N-1) th proportional scale layer is less than the numerical scale of the Nth proportional 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 an attribute index value corresponding to each SAR data point according to the attribute value range.
4. The SAR data point visualization method according to claim 3, wherein the determining the attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point specifically comprises:
according to the attribute value of the SAR data point, establishing an initial numerical range corresponding to a first proportional scale layer to an M-1 proportional scale layer and a residual numerical range corresponding to the M proportional scale layer, wherein M is equal to the number of the proportional scale layers;
judging 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 value or not;
if so, determining the initial numerical value range as an attribute value range corresponding to the corresponding Nth scale layer;
if not, adjusting the initial value range and the residual value range to enable the number of SAR data points corresponding to each initial value range to be smaller than or equal to the loading number threshold, and generating an attribute value range corresponding to the Nth scale layer.
5. The SAR data point visualization method according to claim 3, wherein the determining an index value corresponding to each SAR data point according to a preset index rule specifically includes:
if the index rule is the regional index rule, dividing the SAR data points into a first regional SAR data point set corresponding to each preset primary regional range according to the coordinates of the SAR data points, wherein the N-level regional range is a regional range corresponding to a preset Nth regional layer;
dividing the attribute value of each SAR data point in a first region SAR data point set into a first loading SAR data point set and a first to-be-divided SAR data point set according to a preset loading quantity threshold and the attribute value of each SAR data point;
according to the coordinates of the SAR data points, dividing the SAR data points in the first to-be-divided SAR data point set into a second region SAR data point set corresponding to a preset second-level region range;
iteratively and repeatedly executing grouping of each SAR data point in the Nth area 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 an Mth loaded SAR data point set;
and determining the corresponding area index value of the SAR data point in each Nth loaded SAR data point set according to the corresponding area index value of each Nth area layer.
6. The SAR data point visualization method according to claim 5, 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 target instruction;
and taking the corresponding index value as a target index value according to the layer to be displayed.
7. The SAR data point visualization method according to claim 6, wherein the loading the corresponding SAR data point into a preset blank image according to the target index value to generate 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 area layer or the first scale layer to generate an initial image;
and iteratively and repeatedly executing, according to the index value corresponding to the Nth area 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.
8. The SAR data point visualization method according to any one of claims 1 to 7, wherein before the obtaining the SAR data point to be loaded, further comprising:
presetting a plurality of groups of test data sets, sequentially loading each group of test data sets, and recording the loading time of each loading;
calculating the loading speed 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;
taking the loading speed corresponding to the previous loaded test data set as a decrement, calculating the speed change value corresponding to the next loaded test data set according to the decrement corresponding to the next loaded test data set;
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.
9. An intelligent terminal, characterized in that, intelligent terminal includes: 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 according to any of claims 1 to 8.
10. A storage medium, characterized in that it stores a SAR data point visualization plug-in which, when executed by a processor, implements the steps of the SAR data point visualization method according to any one of claims 1 to 8.
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