CN112882019A - Full-polarization target identification and classification method based on rotary single-polarization ground penetrating radar - Google Patents
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Abstract
The invention discloses a full-polarization target identification and classification method based on a rotary single-polarization ground penetrating radar, belonging to the field of engineering geological exploration, and the method comprises the following specific processes: acquiring full-polarization scattering matrix data of a target body by using a single-polarization ground penetrating radar with a rotary single-polarization antenna; performing feature extraction on the fully polarized scattering matrix data by using an H-alpha decomposition method to obtain scattering feature parameter scattering entropy H and an average scattering angle alpha for identifying a target body; and comparing the scattering entropy H and the average scattering angle alpha value of the target body with the existing H-alpha identification map, and determining the type of the target body according to the distribution positions of the scattering entropy H and the average scattering angle alpha value in the H-alpha identification map. The invention can directly upgrade the existing commercial single-polarization ground penetrating radar into the full-polarization ground penetrating radar under the condition of not changing the existing ground penetrating radar equipment or increasing the equipment cost, thereby improving the efficiency and the accuracy of the ground penetrating radar in detecting, positioning, identifying and classifying the pipeline linear target.
Description
Technical Field
The invention belongs to the field of engineering geological exploration, and particularly relates to a full-polarization target identification and classification method based on a rotary single-polarization ground penetrating radar.
Background
At present, a ground penetrating radar system is widely applied to nondestructive detection and identification of underground targets, but due to the complex and various urban underground environments, the accurate positioning and identification and classification of underground pipelines by the existing ground penetrating radar system still have great challenges. Generally speaking, most of commercial ground penetrating radar systems are single-polarization radar systems, which only can obtain single-polarization data, and separate a pipeline linear target from other non-linear targets (such as culverts, strata and the like), and only can rely on detecting intensity distribution or three-dimensional imaging on two-dimensional sections of different depths, so that chessboard-type two-dimensional data acquisition needs to be performed on the ground, which is time-consuming, labor-consuming, high in cost and lack of practicability. Meanwhile, different underground targets generally have different scattering polarization characteristics, the existing method for identifying the target body by the ground penetrating radar mainly depends on 3-D data (x, y, t) obtained after 2-D detection to carry out intensity distribution and three-dimensional imaging on sections of different depths, but the two-dimensional detection is time-consuming, labor-consuming and high in cost, and the method cannot classify different scattering polarization characteristics.
With the speed of urban construction, underground pipelines and cables are complicated and complicated to bury and have various varieties due to special positions and time span of the underground pipelines and cables, and particularly in the reconstruction process of old urban areas, the influence of unclear pipeline positions on engineering is more serious, so that how to quickly and accurately determine the conditions and the varieties of the underground pipelines and the underground cables becomes an important research direction in the field of engineering geological exploration.
Disclosure of Invention
The purpose of the invention is: in order to overcome the defects that the existing single-polarization ground penetrating radar system cannot acquire full-polarization data of targets and cannot identify and classify underground pipeline targets, the full-polarization target identification and classification method based on the rotary single-polarization ground penetrating radar is provided, and single-polarization commercial ground penetrating radar can be used for acquiring full-polarization radar data and effectively identifying and classifying the underground pipeline targets.
In order to achieve the purpose, the invention adopts the following technical scheme: the full-polarization target identification and classification method based on the rotary single-polarization ground penetrating radar is characterized by comprising the following steps of:
step S1: acquiring full-polarization scattering matrix data of a target body by using a single-polarization ground penetrating radar with a rotary single-polarization antenna;
step S2: performing feature extraction on the fully polarized scattering matrix data in the step S1 by using an H-alpha decomposition method to obtain scattering feature parameter scattering entropy H and an average scattering angle alpha for identifying a target body;
step S3: and comparing the scattering entropy H and the average scattering angle alpha value of the target body obtained in the step S2 with the existing H-alpha identification map, and determining the type of the target body according to the distribution positions of the scattering entropy H and the average scattering angle alpha value in the H-alpha identification map.
Further, the process of acquiring the fully polarized scattering matrix data of the target body in step S1 is as follows:
a single-polarization ground penetrating radar of a rotary single-polarization antenna is distributed on the ground surface right above an underground target body;
rotating the single-polarized antenna of the single-polarized ground penetrating radar by any three angles, taking the rotation center of the single-polarized antenna as a coordinate origin, establishing a ground surface measurement coordinate system (x, y, z) at the ground right above a target body, and respectively setting the three directions of the single-polarized antenna to be theta relative to the horizontal rotation angle of the x axis of the ground surface measurement coordinate system1、θ2、θ3(ii) a Unit vector of set directionIs the polarization direction of a single-polarized antenna; assuming that the cross-polarization intensity of the single-polarized antenna is c, thenIs represented as follows:
where θ is the horizontal rotation angle of the monopole antenna relative to the x-axis relative to the Earth's surface survey coordinate system, i.e., the direction of the monopole antenna, and θ is θ1、θ2Or theta3;
Let s be the scattering matrix of the subsurface target in a local coordinate system (x ', y ', z ') centered on the subsurface targetx′y′z′,
Sx'y'z'=RD (2)
Where R is the coordinate rotation matrix and D is the characteristic diagonal scattering matrix in the object's native coordinate system (u, v, w) and is expressed as:
wherein sigmauu、σvvAnd σwwRespectively representing characteristic values of the scattering matrix of the target body in three coordinate axis directions in a target body coordinate system;
the target body coordinate system (x ', y ', z ') and a ground surface measurement coordinate system (x, y, z) right above the target body are in a translation relation;
a calibration scattering matrix s observed on the single-polarized ground penetrating radarxyzI.e. the scattering matrix of the object and sx′y′z′The same, namely:
since the monopole antenna is only on the x-y plane, i.e., the ground, s in equation (4)xyzIs zero, so that the scattering matrix being measured, i.e. the target scattering matrix sxyzHaving only two dimensions, sxyzAbbreviated s, i.e.:
as is clear from the formulas (2) and (3), s is a reciprocalxy=syxThe scattering data M, calibrated, collected from a single-polarized antenna direction, is represented as follows:
substituting equations (1) and (5) into equation (6), the expression of the monopole antenna along the measurement direction of the arbitrary angle θ can be obtained as follows:
then the single polarization measurement scattering data for three arbitrary different single polarization antenna directions are:
M1=M(θ1),M2=M(θ2),M3=M(θ3);
knowing the cross-polarization c of a single-polarized antenna, by M1、M2And M3The required target complete polarization scattering parameter s can be obtainedxx、syyAnd sxyAnd then obtaining the all-polarization scattering matrix data of the target body
Through the design scheme, the invention can bring the following beneficial effects:
1. the invention provides a full-polarization target identification and classification method based on a rotary single-polarization ground penetrating radar.
2. According to the full-polarization target identification and classification method based on the rotary single-polarization ground penetrating radar, the full-polarization data of the target body is obtained through the single-polarization ground penetrating radar with the rotary single-polarization antenna, the scattering matrix error of the target body caused by the cross polarization item of the antenna can be reduced, and the accuracy of detecting and positioning the pipeline linear target is improved.
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The accompanying drawings, which are included to provide a further understanding of the invention and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limitation and are not intended to limit the invention in any way, and in which:
FIG. 1 is a top view of a single polarized antenna in three directions;
FIG. 2 is a diagram of a coordinate transformation mapping relationship between a target coordinate system and a surface measurement coordinate system directly above the target;
FIG. 3 is a diagram illustrating the effect of estimation errors of the S matrix components of linear scattering at different cross-polarization intensities;
FIG. 4 is a diagram illustrating the effect of the estimation error of the S matrix component scattered by the double reflecting surfaces under different cross polarization strengths.
Fig. 5 shows the distribution of the scattering entropy H and the average scattering angle α of the target in the H- α identification chart.
Detailed Description
The invention provides a complex medium full-polarization target identification and classification method based on a rotary single-polarization ground penetrating radar, which can directly upgrade the existing commercial single-polarization ground penetrating radar into the full-polarization ground penetrating radar under the condition of not changing the existing ground penetrating radar equipment or increasing the equipment cost, thereby improving the efficiency and the accuracy of the ground penetrating radar in detecting, positioning and identifying and classifying pipeline linear targets.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a full-polarization target identification and classification method based on a rotary single-polarization ground penetrating radar, which comprises the following steps:
step S1: acquiring full-polarization scattering matrix data of a target body by using a single-polarization ground penetrating radar with a rotary single-polarization antenna;
the specific process is as follows:
a single-polarization ground penetrating radar with a rotary single-polarization antenna is distributed on the ground surface right above an underground target body;
rotating the single-polarized antenna of the single-polarized ground penetrating radar by any three angles, taking the rotation center of the single-polarized antenna as a coordinate origin, establishing a ground surface measurement coordinate system (x, y, z) at the ground right above a target body, and respectively setting the three directions of the single-polarized antenna to be theta relative to the horizontal rotation angle of the x axis of the ground surface measurement coordinate system1、θ2、θ3(ii) a Unit vector of set directionIs the polarization direction of a single-polarized antenna; as shown in fig. 1, fig. 1 shows a top view of a single-polarized antenna in three directions, in which (a), (b), and (c) correspond to three opposite top views of the single-polarized antenna, respectively;
assuming that the cross-polarization intensity of the single-polarized antenna is c, thenIs represented as follows:
where θ is the horizontal rotation angle of the monopole antenna relative to the x-axis relative to the Earth's surface survey coordinate system, i.e., the direction of the monopole antenna, and θ is θ1、θ2Or theta3;
Let s be the scattering matrix of the subsurface target in a local coordinate system (x ', y ', z ') centered on the subsurface targetx′y′z′,
Sx'y'z'=RD (2)
Where R is the coordinate rotation matrix and D is the characteristic diagonal scattering matrix in the object's native coordinate system (u, v, w) and is expressed as:
wherein sigmauu、σvvAnd σwwRespectively representing characteristic values of the scattering matrix of the target body in three coordinate axis directions in a target body coordinate system;
as shown in fig. 2, the target coordinate system (x ', y', z ') is in a translational relationship with the earth's surface measurement coordinate system (x, y, z) directly above the target;
a calibration scattering matrix s observed on the single-polarized ground penetrating radarxyzI.e. the scattering matrix of the object and sx′y′z′The same, namely:
since the monopole antenna is only in the x-y plane, i.e., the ground, s in equation (4)xyzIs zero, so that the scattering matrix being measured, i.e. the target scattering matrix sxyzOnly two dimensions, for convenience, sxyzAbbreviated s, i.e.:
is composed of (2)) As can be seen from the formulae (1) and (3), s isxy=syxThe calibrated scattering data M collected from the single-polarized antenna direction can be expressed as follows:
substituting equations (1) and (5) into equation (6), the expression of the monopole antenna along the measurement direction of the arbitrary angle θ can be obtained as follows:
then the single polarization measurement scattering data for three arbitrary different single polarization antenna directions are:
M1=M(θ1),M2=M(θ2),M3=M(θ3);
knowing the cross-polarization c of a single-polarized antenna, by M1、M2And M3The required target complete polarization scattering parameter s can be obtainedxx、syyAnd sxyAnd then obtaining the all-polarization scattering matrix data of the target body
For example: theta1=0°,θ2=45°,θ3=90°;
From the formulae (8), (9) and (10), there are obtained:
(11) the second and third terms on the right side of the equations (12) and (13) correspond to the higher order terms introduced by the presence of the cross-polarization c of the single-polarized antenna. In the special case where the cross-polarization component can be ignored, i.e., c < 1, then equations (11), (12), and (13) are simplified as:
if the components of the target volume scattering matrix s are estimated using equations (14), (15), and (16), without considering the influence of c, an estimation error is defined:
to quantitatively investigate the effect of these errors, FIGS. 3 and 4 plot Δ S at different c-values for two typical depolarization target types, ideal linear scatter and ideal dual reflector (ideal linear scatter and ideal dual reflector)xx、ΔSyyAnd Δ SxyValues, detailed in table 1;
TABLE 1
Maximum allowable cross-polarization of the antenna to maintain S of equations (17) - (19)xx、SyyAnd SxyLinear and dual reflector targets with component estimation errors below 0.1 and 0.01
FIG. 3 is a graph showing the effect of estimation errors for linearly scattered S-matrix components at different cross-polarization intensities; fig. 4 shows a diagram of the effect of estimation errors of the S matrix components of the scattering of the dual reflecting surfaces at different cross-polarization intensities.
Step S2: performing feature extraction on the fully polarized scattering matrix data in the step S1 by using an H-alpha decomposition method to obtain scattering feature parameter scattering entropy H and an average scattering angle alpha for identifying a target body;
the method comprises the following steps of performing feature extraction on the fully polarized scattering moment data by using an H-alpha decomposition method to obtain scattering feature parameter scattering entropy H and an average scattering angle alpha for identifying a target body; the method belongs to the prior art, and the specific process is detailed in China-known network, a academic position theory library, research on a fully-polarized ground penetrating radar H-alpha characteristic decomposition technology, Jilin university, 2016.
Step S3: and comparing the scattering entropy H and the average scattering angle alpha value of the target body obtained in the step S2 with the existing H-alpha identification map, and determining the type of the target body according to the distribution positions of the scattering entropy H and the average scattering angle alpha value in the H-alpha identification map.
As shown in fig. 5, if the scattering entropy H and the average scattering angle α of the scattering target are distributed in the region band where the dual-reflector target of the H- α identification diagram is located, it can be determined that such scattering is dihedral scattering, for example: a fault or cutting; if the scattering entropy H and the average scattering angle α of the scattering target are distributed in the region band where the linear target is located, it can be determined that such scattering is linear target scattering, for example: cables, pipes, unexploded bombs UXO, etc. Similarly, if the scattering entropy H and the average scattering angle α of the scattering target are distributed in the area where the spherical symmetric target is located, it can be determined that such scattering is spherical symmetric target scattering, for example: surface, earth formation.
In summary, the target coordinate system of the present invention can be arbitrarily selected, because the final characteristic scattering matrix is usually obtained by matrix diagonalization or decomposition, and then the identification and classification of the fully polarized target are performed, such as: an entropy-based H-alpha decomposition method.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The invention obtains the theory algorithm of the full polarization data through the rotary single polarization radar and the related full polarization data analysis method, thereby greatly improving the detection efficiency and the identification and classification accuracy of the pipeline position in the underground inhomogeneous medium.
Claims (2)
1. The full-polarization target identification and classification method based on the rotary single-polarization ground penetrating radar is characterized by comprising the following steps of:
step S1: acquiring full-polarization scattering matrix data of a target body by using a single-polarization ground penetrating radar with a rotary single-polarization antenna;
step S2: performing feature extraction on the fully polarized scattering matrix data in the step S1 by using an H-alpha decomposition method to obtain scattering feature parameter scattering entropy H and an average scattering angle alpha for identifying a target body;
step S3: and comparing the scattering entropy H and the average scattering angle alpha value of the target body obtained in the step S2 with the existing H-alpha identification map, and determining the type of the target body according to the distribution positions of the scattering entropy H and the average scattering angle alpha value in the H-alpha identification map.
2. The method for identifying and classifying the fully polarized targets based on the rotary single-polarized ground penetrating radar according to claim 1, wherein the step S1 of obtaining the fully polarized scattering matrix data of the target is as follows:
a single-polarization ground penetrating radar of a rotary single-polarization antenna is distributed on the ground surface right above an underground target body;
rotating the single-polarized antenna of the single-polarized ground penetrating radar by any three angles, taking the rotation center of the single-polarized antenna as a coordinate origin, establishing a ground surface measurement coordinate system (x, y, z) at the ground right above a target body, and respectively setting the three directions of the single-polarized antenna to be theta relative to the horizontal rotation angle of the x axis of the ground surface measurement coordinate system1、θ2、θ3(ii) a Unit vector of set directionIs the polarization direction of a single-polarized antenna; assuming that the cross-polarization intensity of the single-polarized antenna is c, thenIs represented as follows:
where θ is the horizontal rotation angle of the monopole antenna relative to the x-axis relative to the Earth's surface survey coordinate system, i.e., the direction of the monopole antenna, and θ is θ1、θ2Or theta3;
Let S be the scattering matrix of the subsurface target in a local coordinate system (x ', y ', z ') centered on the subsurface targetx′y′z′,
Sx'y'z'=RD (2)
Where R is the coordinate rotation matrix and D is the characteristic diagonal scattering matrix in the object's native coordinate system (u, v, w) and is expressed as:
wherein sigmauu、σvvAnd σwwRespectively representing characteristic values of the scattering matrix of the target body in three coordinate axis directions in a target body coordinate system;
the target body coordinate system (x ', y ', z ') and a ground surface measurement coordinate system (x, y, z) right above the target body are in a translation relation;
a calibration scattering matrix S observed on the single-polarized ground penetrating radarxyzI.e. the scattering matrix of the object and Sx′y′z′The same, namely:
since the monopole antenna is only on the x-y plane, i.e., the ground, S in equation (4)xyzIs zero, so that the scattering matrix being measured, i.e. the target scattering matrix SxyzHaving only two dimensions, SxyzAbbreviated S, i.e.:
as is clear from the formulas (2) and (3), S is a linear transformation due to reciprocityxy=SyxThe scattering data M, calibrated, collected from a single-polarized antenna direction, is represented as follows:
substituting equations (1) and (5) into equation (6), the expression of the monopole antenna along the measurement direction of the arbitrary angle θ can be obtained as follows:
then the single polarization measurement scattering data for three arbitrary different single polarization antenna directions are:
M1=M(θ1),M2=M(θ2),M3=M(θ3);
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Cited By (4)
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CN113740825A (en) * | 2021-09-14 | 2021-12-03 | 中国人民解放军国防科技大学 | Target scattering structure zero polarization identification method and device |
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090262011A1 (en) * | 2005-12-06 | 2009-10-22 | Arthur Robert Calderbank | Instantaneous Radar Polarimetry |
CN105550696A (en) * | 2015-12-03 | 2016-05-04 | 中国科学院国家空间科学中心 | Rapid classification method for fully polarimetric synthetic aperture radar images on the basis of random similarity |
CN106772290A (en) * | 2016-12-09 | 2017-05-31 | 中国人民解放军国防科学技术大学 | A kind of complete polarization bistatic radar target dynamic analogue echoes method |
CN107422325A (en) * | 2017-09-15 | 2017-12-01 | 中鸿瑞达(厦门)科技有限公司 | A kind of complete polarization ground polarization sensitive synthetic aperture radar system |
US20180074166A1 (en) * | 2015-07-22 | 2018-03-15 | Rodradar Ltd | Obstacle detection radar using a ploarization test |
CN108051790A (en) * | 2017-12-13 | 2018-05-18 | 厦门大学 | A kind of Polarimetric Calibration method for tightening polarization ground penetrating radar system for mixing |
CN110244295A (en) * | 2019-07-17 | 2019-09-17 | 广州大学 | Underground linear goal based on polarization Ground Penetrating Radar moves towards measurement method and system |
CN110703221A (en) * | 2019-10-16 | 2020-01-17 | 艾索信息股份有限公司 | Urban low-altitude small target classification and identification system based on polarization characteristics |
CN112114295A (en) * | 2020-07-29 | 2020-12-22 | 中国人民解放军海军航空大学 | Target identification method and system for full-polarization radar |
-
2021
- 2021-01-14 CN CN202110047241.1A patent/CN112882019B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090262011A1 (en) * | 2005-12-06 | 2009-10-22 | Arthur Robert Calderbank | Instantaneous Radar Polarimetry |
US20180074166A1 (en) * | 2015-07-22 | 2018-03-15 | Rodradar Ltd | Obstacle detection radar using a ploarization test |
CN105550696A (en) * | 2015-12-03 | 2016-05-04 | 中国科学院国家空间科学中心 | Rapid classification method for fully polarimetric synthetic aperture radar images on the basis of random similarity |
CN106772290A (en) * | 2016-12-09 | 2017-05-31 | 中国人民解放军国防科学技术大学 | A kind of complete polarization bistatic radar target dynamic analogue echoes method |
CN107422325A (en) * | 2017-09-15 | 2017-12-01 | 中鸿瑞达(厦门)科技有限公司 | A kind of complete polarization ground polarization sensitive synthetic aperture radar system |
CN108051790A (en) * | 2017-12-13 | 2018-05-18 | 厦门大学 | A kind of Polarimetric Calibration method for tightening polarization ground penetrating radar system for mixing |
CN110244295A (en) * | 2019-07-17 | 2019-09-17 | 广州大学 | Underground linear goal based on polarization Ground Penetrating Radar moves towards measurement method and system |
CN110703221A (en) * | 2019-10-16 | 2020-01-17 | 艾索信息股份有限公司 | Urban low-altitude small target classification and identification system based on polarization characteristics |
CN112114295A (en) * | 2020-07-29 | 2020-12-22 | 中国人民解放军海军航空大学 | Target identification method and system for full-polarization radar |
Non-Patent Citations (6)
Title |
---|
于月: ""全极化探地雷达H-α特征分解技术研究"", 《中国博士学位论文全文数据库基础科学辑》, no. 3, 15 March 2017 (2017-03-15), pages 011 - 22 * |
冯晅: ""全极化探地雷达地下管道分类识别技术"", 《吉林大学学报》, vol. 48, no. 2, 31 March 2018 (2018-03-31), pages 364 - 372 * |
张明贺: ""野外单极化探地雷达数据对地下目标体的全极化分析"", 《中国地球科学联合学术年会2017》, 31 December 2017 (2017-12-31), pages 1401 - 1404 * |
张玉玺: ""基于复数全极化HRRP的雷达目标识别"", 《系统工程与电子技术》, vol. 36, no. 2, 28 February 2014 (2014-02-28), pages 260 - 266 * |
翟庆林: ""全极化雷达的多任务压缩感知目标识别方法"", 《国防科技大学学报》, vol. 39, no. 3, 30 June 2017 (2017-06-30), pages 144 - 151 * |
黄振宇: ""目标散射矩阵测量新方法的性能比较与分析"", 《系统仿真学报》, vol. 27, no. 6, 30 June 2015 (2015-06-30), pages 1308 - 1311 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN113740825A (en) * | 2021-09-14 | 2021-12-03 | 中国人民解放军国防科技大学 | Target scattering structure zero polarization identification method and device |
CN113740825B (en) * | 2021-09-14 | 2023-10-17 | 中国人民解放军国防科技大学 | Zero polarization identification method and device for target scattering structure |
CN114675263A (en) * | 2022-04-11 | 2022-06-28 | 广州大学 | Underground pipeline material identification method using dual-polarization ground penetrating radar |
CN114675263B (en) * | 2022-04-11 | 2024-05-28 | 广州大学 | Underground pipeline material identification method using dual-polarized ground penetrating radar |
CN115112854A (en) * | 2022-05-26 | 2022-09-27 | 北京理工大学 | Ground penetrating radar corrosion steel bar identification method based on polarization characteristics and machine learning |
WO2024224509A1 (en) * | 2023-04-26 | 2024-10-31 | 日本電信電話株式会社 | Search device, search method, excavation method, and program |
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