WO2022073287A1

WO2022073287A1 - Sar data point visualization method, intelligent terminal, and storage medium

Info

Publication number: WO2022073287A1
Application number: PCT/CN2020/131152
Authority: WO
Inventors: 汪驰升; 宿瑞博; 冯光财; 朱武; 戴可人; 郑杰; 李清泉
Original assignee: 深圳大学
Priority date: 2020-10-10
Filing date: 2020-11-24
Publication date: 2022-04-14
Also published as: CN112462366B; CN112462366A

Abstract

Disclosed are an SAR data point visualization method, an intelligent terminal, and a storage medium. The method comprises: obtaining SAR data points to be loaded; determining, according to a preset index rule, an index value corresponding to each of said SAR data points; upon receipt of a display instruction, determining a target index value in the index value according to target information in the display instruction; and loading the corresponding SAR data point into a preset blank image according to the target index value to generate a target display image. According to the present invention, the loading rate of said SAR data points can be effectively improved.

Description

A SAR data point visualization method, intelligent terminal and storage medium

technical field

The invention relates to the field of computer technology, and in particular to a method for visualizing SAR data points, an intelligent terminal and a storage medium.

Background technique

Usually, the earth observation methods include traditional geodetic leveling, photoelectric rangefinder measurement and measurement, but the cost is high and is often limited by factors such as geographical area. Synthetic Aperture Radar SAR (Synthetic Aperture Radar) is a space-to-Earth observation technology developed in the past 20 years. After acquiring SAR data, the interferometry technology (Interferometry Synthetic Aperture Radar) and the differential interferometry technology D-InSAR (Differential Interferometry Synthetic) are used. Aperture Radar) can further obtain the ground elevation model and changes in ground height. Compared with the traditional earth observation technology, the acquisition of SAR can be realized by satellite, which is no longer subject to geographical restrictions, and can be used all day, all weather, and strong penetrating ability. However, there are a lot of SAR data collected routinely. Therefore, in the mid-to-late 20th century, some scholars at home and abroad proposed PS-InSAR technology in view of the limitations of traditional technology. The earliest and most representative experiment was the experiment of Ferretti et al. . PS-InSAR technology only interferometrically analyzes and processes the interior of the imaging area, such as the interior of buildings, dams and bridges, and some targets with relatively stable scattering characteristics. That is to say, a large number of unstable points are discarded, and only stable points are appropriately processed, thereby improving the reliability of the obtained deformation measurement results.

However, as the analyzed area and the amount of data become larger, even if the points collected by InSAR are screened for target points, the number of obtained target points is also increasing. At this time, the traditional synchronous loading method is used to load these target points to the map, and the loading speed will become slower as the number of points increases, resulting in a decrease in the processing efficiency of the entire SAR data.

SUMMARY OF THE INVENTION

The main purpose of the present invention is to provide a SAR data point visualization method, an intelligent terminal and a storage medium, aiming to solve the problem of slow visualization when there are too many SAR data points in the prior art.

In order to achieve the above object, the present invention provides a method for visualizing SAR data points, and the method for visualizing SAR data points includes the following steps:

Get the SAR data points to be loaded;

According to a preset index rule, determine the index value corresponding to each of the SAR data points;

When receiving the display instruction, determine the target index value in the index value according to the target information in the display instruction;

According to the target index value, the corresponding SAR data points are loaded into a preset blank image to generate a target display image.

Wherein, the index rules include attribute index rules and area index rules, and the index values include attribute index values and area index values;

The attribute index rule is an index rule for determining the corresponding attribute index value according to the attribute value of each SAR data point;

The area index rule is an index rule for determining the corresponding area index value according to the coordinates of each SAR data point.

Wherein, determining the index value corresponding to each of the SAR data points according to a preset index rule specifically includes:

If the index rule is the attribute index rule, create an attribute index value corresponding to the preset Nth scale layer according to the preset number of scale layers, where N is less than or equal to the scale layer The positive number of the number, the numerical scale of the N-1th scale layer is smaller than the numerical scale of the Nth scale layer;

Determine the attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point;

According to the attribute value range, the attribute index value corresponding to each SAR data point is determined.

Wherein, determining the 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 values of the SAR data points, an initial value range corresponding to the first scale layer to the M-1th scale layer and a residual value range corresponding to the Mth scale layer are created;

Determine whether the number of SAR data points corresponding to the same initial value range is less than or equal to a preset loading number threshold;

If so, determine that the initial value range is the attribute value range corresponding to the corresponding Nth scale layer;

If not, the initial value range and the residual value range are adjusted so that the number of SAR data points corresponding to each of the initial value ranges is less than or equal to the loading quantity threshold, and the Nth scale layer corresponding to Property value range.

If the index rule is the area index rule, then according to the coordinates of the SAR data points, the SAR data points are divided into first area SAR data point sets corresponding to each preset first-level area range, wherein , the N-level area range is the area corresponding to the preset Nth area layer;

According to the preset loading quantity threshold and the attribute value of each SAR data point, the attribute value of each SAR data point in the SAR data point set in the first area is divided into SAR data points in the SAR data point set in the first area. The first loading SAR data point set and the first SAR data point set to be divided;

According to the coordinates of the SAR data points, the SAR data points in the first set of SAR data points to be divided are divided into second area SAR data point sets corresponding to the preset secondary area range;

Iteratively and repeatedly perform grouping of each SAR data point in the SAR data point set in the Nth area, until the M-1th loaded SAR data point set and the M-1th SAR data point set to be divided are obtained, and the M-1th SAR data point set to be divided is obtained. Divide the SAR data point set as the M-th load SAR data point set;

According to the area index value corresponding to each Nth level area layer, the area index value corresponding to each SAR data point in each Nth loaded SAR data point set is determined.

Wherein, when a display instruction is received, determining the target index value in the index value according to the target information in the display instruction, specifically includes:

When receiving the display instruction, determine the layer to be displayed according to the target information in the target instruction;

According to the layer to be displayed, the corresponding index value is used as the target index value.

Wherein, according to the target index value, the corresponding SAR data points are loaded into a preset blank image to generate a target display image, which specifically includes:

According to the index value corresponding to the first area layer or the first scale layer, the corresponding SAR data points are loaded into the preset blank image to generate an initial image;

Iteratively repeats loading the corresponding SAR data point 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, Generate the target display image.

Wherein, before the acquisition of the SAR data points to be loaded, the method further includes:

Pre-set several groups of test data sets, and load the test data sets of each group in turn, and record the loading time of each loading;

Calculate 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;

Take the loading speed corresponding to the previous loaded test data set as the minuend, and the subtrahend corresponding to the next loaded test data set, and calculate the speed change value corresponding to the next loaded test data set;

The data amount of the test data set corresponding to the largest speed change value among the speed change values is used as the loading quantity threshold.

In addition, in order to achieve the above object, the present invention also provides an intelligent terminal, wherein the intelligent terminal includes: a memory, a processor, and a SAR data point visualization plug-in that is stored in the memory and can run on the processor , when the SAR data point visualization plug-in is executed by the processor to implement the steps of the above-mentioned SAR data point visualization method.

In addition, in order to achieve the above object, the present invention also provides a storage medium, wherein the storage medium stores a SAR data point visualization plug-in, and the SAR data point visualization plug-in is executed by the processor to realize the above SAR data point. Visualize the steps of the method.

After acquiring the SAR data points to be loaded, the present invention establishes an index value for each SAR data point, and when a display instruction is received, the final loaded target index value is determined according to the target information therein, and then the target index value is finally loaded according to the target index value. , find the corresponding SAR data points, and load them into the blank image in turn to generate the display target image. In order to ensure that each loading can be loaded at the fastest speed, in this scheme, by limiting the number of SAR data points corresponding to each index value, each loading only loads SAR data points corresponding to one index value. In addition, the present invention also provides two ways of establishing an index, one is to establish an attribute value index rule based on the attribute value corresponding to each SAR data point, and the other is to establish an index value area based on the coordinates corresponding to each SAR data point index rules. The former can gradually display SAR data points according to a certain attribute value according to the attribute values of SAR data points;

Description of drawings

Fig. 1 is the flow chart of the preferred embodiment provided by the SAR data point visualization method of the present invention;

2 is a schematic diagram of loading SAR data points based on attribute value indexing rules provided by the SAR data point visualization method of the present invention;

3 is a schematic diagram of loading SAR data points based on regional index rules provided by the SAR data point visualization method of the present invention;

FIG. 4 is a schematic diagram of an operating environment of a preferred embodiment of an intelligent terminal of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer and clearer, 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 only used to explain the present invention, but not to limit the present invention.

The SAR data point visualization method according to the preferred embodiment of the present invention, as shown in FIG. 1 , the SAR data point visualization method includes the following steps:

Step S100, acquiring the SAR data points to be loaded.

Specifically, the execution subject of this 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). Read the specified location first to obtain the SAR data points to be loaded. In this embodiment, the SAR data points can be collected by on-board or space-borne instruments.

Further, in this embodiment, since the 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:

In step S110, several groups of test data sets are preset, and each group of the test data sets is loaded in sequence, and the loading time of each loading is recorded.

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. Then divide the test data set into several groups and load them in sequence. In this embodiment, the first group of test data sets is x test points, the number of test points in the second group of test data sets is n, and the third group of test data The number of set test points is n..., where both x and n are positive numbers.

Take the group as a unit, load the test data sets in sequence, and record the corresponding start loading time and loading end time when starting and ending loading. For example, the loading start time of the first group of test data sets is t10, and the loading ends. The time is t11. According to the loading start time and loading end time corresponding to each test data set, the corresponding loading time is calculated. For example, the loading time corresponding to the first set of test data sets is T1=t11-t10.

Step S120: Calculate 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, and the loading time is T1, so the loading speed is is v1=x/T1.

Step S130 , take the loading speed corresponding to the previous loaded test data set as the minuend and the subtrahend corresponding to the next loaded test data set, and calculate the speed change value corresponding to the next loaded test data set.

Specifically, subtraction is used to calculate the speed change values corresponding to each test data except the first group of test data sets. For example, the loading time of the second group of test data sets is T2, and the loading speed v2=(x+n)/T2, The corresponding speed change value is Δv2=v1-v2. The speed change value is used to describe the magnitude of the speed change between different numbers of test data points.

Step S140, taking the data volume of the test data set corresponding to the largest speed change value among the speed change values as the loading quantity threshold.

Specifically, since the order of magnitude of the loaded data points is getting higher and higher, the loading speed will inevitably become slower and slower, and the change in speed has a maximum value. After calculating the speed change value corresponding to each group of test data sets, this embodiment uses the data amount of the test data set corresponding to the largest speed change value as the loading quantity threshold. Therefore, when the number of loading is greater than this threshold, the loading speed will be greatly reduced. During actual loading, it should be avoided that the number of data points loaded each time is greater than the threshold of loading number. For the convenience of description, in this implementation, the calculated loading quantity threshold is 100.

In addition, in this embodiment, in order to compare the loading speed, the difference in the number of test points in each group of test data sets is the same, but in the actual process, the number of test points in each test point set can be freely set .

Step S200, according to a preset index rule, determine the index value corresponding to each of the SAR data points.

Specifically, an index rule is preset to determine the index value corresponding to each SAR data point. The indexing rule can be determined according to the coordinates, attribute values, etc. of each SAR data point. The index value can be in the form of numbers, letters, special symbols and combinations. The index value corresponding to each SAR data point is determined, and one index value can correspond to multiple different SAR data points.

Further, the index rules include attribute index rules, area index rules and mixed index rules, and the index values include attribute index values, area index values and mixed index values.

Described area index rule is according to the coordinate of each SAR data point, determines the index rule of corresponding area index value;

The mixed index rule is an index rule for determining a corresponding mixed index value according to the coordinates and attribute values of each SAR data point.

Specifically, SAR data points will have certain properties after initial acquisition, such as deformation. Taking the deformation amount as an example, the value range of the obtained SAR data point deformation amount is between 1 and 100 mm, and then it is divided into two groups, one is 1-50 mm, and the other is 51-100 mm. The attribute index value is used as the index value corresponding to the first group of data points, and the second attribute index value is used as the index value corresponding to the second group of data points.

When each SAR data point is collected, its coordinates will be recorded according to the location and direction of the transmitting radar. The area index rule is to determine the corresponding area index value according to the coordinates of each SAR data point. For example, there are three SAR data points, one of which is located in city A, the other two are located in city B, and two SAR data points located in city B, one in area C and one in area D, according to their area, these three The regional index values corresponding to each SAR data point are A city, B city-C area and B city-D area respectively.

There is no conflict between the attribute values and coordinates of SAR data points, and the attribute values of SAR data points corresponding to different coordinates may be the same or different. The hybrid index rule refers to an index rule for determining a corresponding index value according to two aspects of coordinates and attribute values. The specific process is similar to that of the attribute index rule and the area index rule, and will not be repeated here.

In addition to the above three indexing rules, custom indexing rules can also be included. The customizing rules are that users set different indexing rules according to their own different needs. For example, the 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. Therefore, when visualizing SAR data points, the importance of the SAR data points can be determined according to the importance of the SAR data points. Data visualization to meet the different needs of users.

Further, step S200 includes:

Step S211, if the index rule is the attribute index rule, create an attribute index value corresponding to the preset Nth scale layer according to the preset number of scale layers, where N is a positive value less than or equal to M. M is equal to the number of scale layers. The numerical scale of the N-1th scale layer is smaller than the Nth scale layer.

Specifically, the SAR data point visualization plug-in can provide visualization of layers with different scales. The number of scale layers can be set in the program, or can be set according to the size of the numerical scale input by the user. For example, the minimum value of the numerical scale input by the user is 1:10000, and the maximum value is 1:100. If the multiple between the previous layer and the next layer is set to 10 in advance, there are three scale layers, and the numerical scale is 1:10000, 1:1000 and 1:100 respectively. Then three index values are randomly selected from the preset index value library and correspond to each layer, thereby creating attribute index values corresponding to each scale layer. For example, the numerical scale of the first scale layer is 1:10000, the corresponding index value is "001", the numerical scale of the second scale layer is 1:1000, the corresponding index value is "002", and the third scale layer The numerical scale is 1:100, and the corresponding index value is "003".

Step S212: Determine the 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 can be divided, and each attribute value range is corresponding to each preset scale layer. For example, the first scale layer is loaded with SAR data points with small deformation values, the second scale layer is loaded with SAR data points with medium deformation values, and the third scale layer is loaded with SAR data points with large deformation values. Then, according to the deformation value of the SAR data point, the attribute value range corresponding to each preset Nth scale layer is determined. There are many ways to determine it. For example, the maximum and minimum values of the deformation value are used as the maximum and minimum values of the initial range, and then according to the number of layers, the initial range is divided into several equal parts of the same length to obtain multiple attribute value ranges.

Further, in order to load the loading rate of the SAR data points corresponding to the same attribute index value, step S212 includes:

Step S2121, according to the attribute values of the SAR data points, create an initial value range corresponding to the first scale layer to the M-1th scale layer and a residual value range corresponding to the Mth scale layer.

In this embodiment, the number of layers is 3, so firstly, two initial value ranges and one residual value range are created according to the attribute values of the SAR data points. For example, the attribute value of the SAR data point is 1~100mm, the initial value range created is 1~333mm and 334~666mm, and the residual value range is 667~100mm.

Step S2122, judging whether the number of SAR data points corresponding to the same initial value range is less than or equal to a preset loading number threshold.

Specifically, in the first implementation process, the number of SAR data points corresponding to the initial value range of 1-333 mm is 100, and the number of SAR data points corresponding to the initial value range of 334-666 mm is 110. In the second implementation process, the number of SAR data points corresponding to the initial value range of 1 to 333 mm and the initial value range of 334 to 666 mm are both 100.

Step S2123, if yes, determine that the initial value range is 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 value range is less than or equal to the loading quantity threshold, and the loading speed is faster during subsequent loading, so the initial value range is set as The property value range.

Step S2124, if not, adjust the initial value range and the residual value range so that the number of SAR data points corresponding to each initial value range is less than or equal to the loading quantity threshold, and generate each Nth scale map The layer corresponds to the attribute value range.

Specifically, in the first implementation process, the number of SAR data points corresponding to the initial value range of 334 to 666 mm is greater than the loading number threshold of 100. Therefore, the initial value range needs to be adjusted so that each initial value range corresponds to The number of SAR data points is less than or equal to the loading number threshold. Only initial values that meet this condition are attribute value ranges.

In addition, the number of SAR data points corresponding to the residual value range is the total number of SAR data points minus the number of SAR data points corresponding to all initial value ranges.

Step S213: Determine the attribute index value corresponding to each SAR data point according to the attribute value range.

Specifically, after the attribute value range is determined, since the attribute value range corresponding to each scale layer is 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 of this embodiment, the adopted index rule is a regional index rule, and step S200 further includes:

Step S221, if the index rule is the area index rule, then according to the coordinates of the SAR data points, the SAR data points are divided into first area SAR data points corresponding to each preset first-level area range set.

Specifically, different levels of area scopes are preset, wherein the first-level area scope includes multiple second-level area scopes, the second-level area scope includes multiple third-level area scopes, ... The M-1 level area scope includes multiple M-level area scopes scope.

If the index rule is the area index rule, first determine the correspondence between each SAR data point and each first-level area range according to the coordinates of the SAR data point, thereby generating a plurality of first area SAR data points set.

Step S222, according to the preset loading quantity threshold and the attribute value of each SAR data point, collect the attribute value of each SAR data point in the first area SAR data point, and collect the SAR data in the first area SAR data point collection. The points are divided into a first loaded SAR data point set and a first unsegmented SAR data point set.

Specifically, the SAR data point set in the first area is a data point set divided according to coordinates, but when loading, if it is loaded directly according to the region, the size of the first region is different, and the amount of data is also different. If the coordinates of the data points are loaded, the loading may be too slow. If the area is divided in the reverse direction based on the data volume of the SAR data points, the area division may be too different from the actual area, and the validity of the data is poor. . For example, 100 SAR data points are located in Y street. If the user wants to view the collected SAR data points of B city including Y street, it may not be loaded normally after only loading the Y street SAR data points.

Therefore, in this embodiment, according to the attribute value of each SAR data point, the SAR data points in the SAR data point set in the first area are divided into the first loaded SAR data point set and the first SAR data point set to be divided. Wherein, the first loaded SAR data point set represents the first area, and when a subsequent user wants to view SAR data points including the first area, the data points in the first loaded SAR data point set are loaded.

Step S223: According to the coordinates of the SAR data points, the SAR data points in the first set of SAR data points to be divided are divided into a second regional SAR data point set corresponding to a preset secondary region range.

Specifically, according to the coordinates of the SAR data points and the preset secondary area range, the SAR data points in the first set of SAR data points to be divided are divided into second area SAR data point sets.

Step S224, iteratively and repeatedly perform grouping of each SAR data point in the Nth area SAR data point set, until the M-1th loaded SAR data point set and the M-1th SAR data point set to be divided are obtained, and the Mth SAR data point set is obtained. -1 The set of SAR data points to be divided is used as the M-th load SAR data point set.

Specifically, by analogy, iteratively and repeatedly perform the above-mentioned determination of the regional SAR data point sets at each level and the SAR data point sets to be divided at each level according to the area ranges of each level, until N=M-1, and the M-1 loading SAR is obtained. The data point set and the M-1 SAR data point set to be divided, because M is equal to the number of layers, the M-1 SAR data point set to be divided will not be divided in the next step, and the M-1 SAR data to be divided will not be divided into the next step. The point set is loaded as the Mth set of data points.

For example, the scope of the first-level area is City A and City B, the scope of the second-level area includes District C and District D in City B, and District C has D Street and E Street, then the first index value corresponding to City A and City B They are "A100" and "A200" respectively, while the second index values corresponding to Area C and Area D are "A210" and "A220" respectively, and the third index values corresponding to Street D and Street E are "A211" and " A212". Therefore, the first attribute value corresponding to the first loaded SAR data point corresponding to city A is "A100", and the second attribute value corresponding to the second loaded SAR data point corresponding to area D is "A220".

Step S225: Determine the area index value corresponding to each SAR data point in each Nth loaded SAR data point set according to the area index value corresponding to each Nth level area layer.

Specifically, each area range corresponds to an area index value, for example, there are three secondary area ranges, each secondary area range corresponds to a secondary area index value, according to the secondary area 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, determine a target index value in the index values according to the target information in the display instruction.

Specifically, the user can input a display instruction by means of a keyboard and mouse, etc., parse 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 the properties of the layer, such as scale, area range, or directly the serial number of the layer.

For example, if the user inputs the desired display layer as a scale layer with a numerical scale of 1:100, then according to the numerical value, it is determined that the user wants to view a scale layer with a scale of 1:100, that is, the third scale layer. Then according to the first scale layer, the first to third attribute index values are used as target index values.

Further, step S300 includes:

In step S310, when a display instruction is received, the layer to be displayed is determined according to the target information in the target instruction.

Specifically, if the layer is a scale layer, when a display instruction is received, the display instruction is parsed to obtain target information, and then according to the target information, the corresponding serial number of the layer to be displayed is determined. target sequence number.

For example, in this embodiment, the target sequence number of the layer to be displayed is three.

If the layer to be displayed is an area layer, when a display instruction is received, the display instruction is parsed to obtain target information, where the target information includes the target area range of the layer to be displayed.

According to the range of the target area, the layer to be displayed can be determined.

For example, if the target information is that the area to be displayed is Area C, then the layer to be displayed can be the third layer of the area layer, and the corresponding tertiary area range is Area C.

Step S320, according to the layer to be displayed, use the corresponding index value as the target index value.

Specifically, according to the target sequence number of the layer to be displayed is three, the sequence number value whose sequence number is equal to three in the index value is used as the target index value, for example, the above-mentioned third attribute index value.

Step S400, according to the target index value, load the corresponding SAR data points into a preset blank image to generate a target display image.

Specifically, after the target index value is determined, according to the target index value, from the beginning, the corresponding SAR data points are loaded into the blank layer according to the index value in sequence, and the target display image is generated.

Taking the above example of determining the attribute index value with the deformation value as the attribute value, first load the SAR data point with the attribute index value of "001", then load the SAR data point with the attribute index value of "002", and finally load the SAR data point with the attribute index value of "003" ”, and when the last data point is loaded, the target display image is generated.

Further, referring to Fig. 2 and Fig. 3, the black dots represent the newly loaded SAR data points of the latter layer; step S400 includes:

Step S410, according to the index value corresponding to the first area layer or the first scale layer, load the corresponding SAR data points into a preset blank image to generate an initial image.

Specifically, the first index value includes the foregoing first attribute index value and first region index value. In the first implementation of this embodiment, according to the first attribute index value, the SAR data points corresponding to the first attribute index value are loaded into a preset blank image to generate an initial image. As shown in Figure 2, according to the corresponding attribute index value of the first scale layer, the SAR data points belonging to city B are loaded into the blank image to obtain the initial image.

In the second real-time manner of this embodiment, firstly, 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 Figure 3, firstly, according to the area index value corresponding to the first area layer, the SAR data points belonging to city B are loaded into the blank image to obtain the initial image.

Step S420, iteratively and repeatedly perform loading the corresponding SAR data points into the initial image according to the index values 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 The index value to generate the target display image.

Specifically, in the first implementation of this embodiment, according to the second attribute index value, the corresponding SAR data points are loaded into the initial image to obtain the second image, and finally according to the third attribute index value, the corresponding SAR data points are loaded into the initial image. The SAR data points are loaded into the second image 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 the second implementation of this embodiment, according to the index value of the second region, the corresponding SAR data points are loaded into the initial image to obtain the second image, and finally the corresponding SAR data is converted into the corresponding SAR data according to the index value of the third region. Click to load into the second image to get the third image. Since the target index value is the third area index value, the third image is the target display image.

In addition, if the hybrid index rule is used to create the index value of each SAR data point, when loading, it can be loaded first according to the loading method corresponding to the attribute value index rule, and then loaded according to the loading method corresponding to the regional index value rule, or both Interspersed. For example, when loading the SAR data points corresponding to the area of city B, the attribute value index rule is used to load the SAR data points corresponding to the area of city B in turn.

Further, as shown in FIG. 4 , based on the above-mentioned SAR data point visualization method, the present invention also provides an intelligent terminal correspondingly, and the intelligent terminal includes a processor 10 , a memory 20 and a display 30 . FIG. 4 only shows some components of the smart terminal, but it should be understood that it is not required to implement all the shown components, and more or less components may be implemented instead.

In some embodiments, the memory 20 may be an internal storage unit of the smart terminal, such as a hard disk or a memory of the smart terminal. In other embodiments, the memory 20 may also be an external storage device of the smart terminal, for example, a plug-in hard disk equipped on the smart terminal, a smart memory card (Smart Media Card, SMC), a secure digital (Secure) Digital, SD) card, flash card (Flash Card), etc. Further, the memory 20 may also include both an internal storage unit of the smart terminal and an external storage device. The memory 20 is used to store application software and various types of data installed in the smart terminal, such as program codes for installing the smart terminal. The memory 20 can also be used to temporarily store data that has been output or is to be output. In one embodiment, a SAR data point visualization plug-in 40 is stored on the memory 20, and the SAR data point visualization plug-in 40 can be executed by the processor 10, thereby realizing the SAR data point visualization method in the present application.

In some embodiments, the processor 10 may be a central processing unit (Central Processing Unit, CPU), a microprocessor or other data processing chips, for running program codes or processing data stored in the memory 20, such as Execute the SAR data point visualization method, etc.

In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, and the like. The display 30 is used for displaying information on the smart terminal and for displaying a visual user interface. The components 10-30 of the intelligent terminal communicate with each other through the system bus.

In one embodiment, when the processor 10 executes the SAR data point visualization plug-in 40 in the memory 20, the following steps are implemented:

Get the SAR data points to be loaded;

Wherein, according to the target index value, the corresponding described SAR data points are loaded into the preset blank image, and the target display image is generated, specifically including:

The present invention also provides a storage medium, wherein the storage medium stores a SAR data point visualization plug-in, and when the SAR data point visualization plug-in is executed by a processor, the steps of the above-mentioned SAR data point visualization method are implemented.

Of course, those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware (such as processors, controllers, etc.) through a computer program, and the programs can be stored in a In a computer-readable storage medium, when the program is executed, it may include the processes of the foregoing method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, or the like.

It should be understood that the application of the present invention is not limited to the above examples. For those of ordinary skill in the art, improvements or transformations can be made according to the above descriptions, and all these improvements and transformations should belong to the protection scope of the appended claims of the present invention.

Claims

A SAR data point visualization method, wherein the SAR data point visualization method comprises:

Get the SAR data points to be loaded;

According to a preset index rule, determine the index value corresponding to each of the SAR data points;

When receiving the display instruction, determine the target index value in the index value according to the target information in the display instruction;

According to the target index value, the corresponding SAR data points are loaded into a preset blank image to generate a target display image.
The SAR data point visualization method according to claim 1, wherein the index rules include attribute index rules and area index rules, and the index values include attribute index values and area index values;

The attribute index rule is an index rule for determining the corresponding attribute index value according to the attribute value of each SAR data point;

The area index rule is an index rule for determining the corresponding area index value according to the coordinates of each SAR data point.
The method for visualizing SAR data points according to claim 2, wherein, determining the index value corresponding to each of the SAR data points according to a preset index rule, specifically comprising:

If the index rule is the attribute index rule, create an attribute index value corresponding to the preset Nth scale layer according to the preset number of scale layers, where N is less than or equal to the scale layer The positive number of the number, the numerical scale of the N-1th scale layer is smaller than the numerical scale of the Nth scale layer;

Determine the attribute value range corresponding to the Nth scale layer according to the attribute value of the SAR data point;

According to the attribute value range, the attribute index value corresponding to each SAR data point is determined.
The method for visualizing a SAR data point 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 includes:

According to the attribute values of the SAR data points, an initial value range corresponding to the first scale layer to the M-1th scale layer and a residual value range corresponding to the Mth scale layer are created, where M is equal to the scale the number of layers;

Judging whether the quantity of the SAR data points corresponding to the same described initial value range is less than or equal to the preset loading quantity threshold;

If so, determine that the initial value range is the attribute value range corresponding to the corresponding Nth scale layer;

If not, the initial value range and the residual value range are adjusted so that the number of SAR data points corresponding to each of the initial value ranges is less than or equal to the loading quantity threshold, and the Nth scale layer corresponding to Property value range.
The method for visualizing SAR data points according to claim 3, wherein, determining the index value corresponding to each of the SAR data points according to a preset index rule, specifically comprising:

If the index rule is the area index rule, then according to the coordinates of the SAR data points, the SAR data points are divided into first area SAR data point sets corresponding to each preset first-level area range, wherein , the N-level area range is the area corresponding to the preset Nth area layer;

According to the preset loading quantity threshold and the attribute value of each SAR data point, the attribute value of each SAR data point in the SAR data point set in the first area is divided into SAR data points in the SAR data point set in the first area. The first loading SAR data point set and the first SAR data point set to be divided;

According to the coordinates of the SAR data points, the SAR data points in the first set of SAR data points to be divided are divided into second area SAR data point sets corresponding to the preset secondary area range;

Iteratively and repeatedly perform grouping of each SAR data point in the SAR data point set in the Nth area, until the M-1th loaded SAR data point set and the M-1th SAR data point set to be divided are obtained, and the M-1th SAR data point set to be divided is obtained. Divide the SAR data point set as the M-th load SAR data point set;

According to the area index value corresponding to each Nth level area layer, the area index value corresponding to each SAR data point in each Nth loaded SAR data point set is determined.
The SAR data point visualization method according to claim 5, wherein when a display instruction is received, determining the target index value in the index value according to the target information in the display instruction, specifically comprising:

When receiving the display instruction, determine the layer to be displayed according to the target information in the target instruction;

According to the layer to be displayed, the corresponding index value is used as the target index value.
The method for visualizing SAR data points according to claim 6, wherein, according to the target index value, loading the corresponding SAR data points into a preset blank image to generate a target display image, specifically comprising: :

According to the index value corresponding to the first area layer or the first scale layer, the corresponding SAR data points are loaded into the preset blank image to generate an initial image;

Iteratively repeats loading the corresponding SAR data point 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, Generate the target display image.
The method for visualizing SAR data points according to any one of claims 1-7, wherein before acquiring the SAR data points to be loaded, the method further comprises:

Pre-set several groups of test data sets, and load the test data sets of each group in turn, and record the loading time of each loading;

Calculate 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;

Take the loading speed corresponding to the previous loaded test data set as the minuend, and the subtrahend corresponding to the next loaded test data set, and calculate the speed change value corresponding to the next loaded test data set;

The data amount of the test data set corresponding to the largest speed change value among the speed change values is used as the loading quantity threshold.
An intelligent terminal, characterized in that the intelligent terminal comprises: a memory, a processor, and a SAR data point visualization plug-in stored on the memory and running on the processor, the SAR data point visualization plug-in being The processor implements the steps of the SAR data point visualization method according to any one of claims 1-8 when executed.
A storage medium, characterized in that the storage medium stores a SAR data point visualization plug-in, and when the SAR data point visualization plug-in is executed by a processor, the SAR data point visualization according to any one of claims 1-8 is realized steps of the method.