CN116736306A - Time sequence radar interference monitoring method based on third high-resolution - Google Patents
Time sequence radar interference monitoring method based on third high-resolution Download PDFInfo
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Abstract
The invention discloses a time sequence radar interference monitoring method based on a third high-resolution method, which relates to the field of radar interference monitoring, and comprises the following steps: obtaining an interference phase diagram of the target area by using a third high-resolution method; obtaining a winding interference phase diagram of the target area according to the interference phase diagram of the target area and the digital elevation model data; obtaining a winding interference phase diagram of a target area with dense stripes removed; according to polynomial fitting, a linear regression model and a winding interference phase diagram of the target area for removing dense stripes, obtaining a winding interference phase diagram of the target area after correction; and acquiring a time sequence deformation rate chart of the high-resolution third image of the target area by adopting a time sequence radar interferometry method according to the winding interference phase chart corrected by the target area so as to realize the monitoring of the target area. The method can improve the quality of the third interference phase diagram by correcting the track error and the baseline error, thereby realizing high-precision monitoring of the surface deformation of the target area.
Description
Technical Field
The invention relates to the field of radar interference monitoring, in particular to a time sequence radar interference monitoring method based on third high-order.
Background
The third high-resolution satellite is a first C-band, multi-polarization and high-resolution (up to 1 meter) synthetic aperture radar satellite in China, has the outstanding advantages of all-weather monitoring, high-precision measurement, multi-mode imaging and the like in all days, and can realize the monitoring of global ocean and land information in all weather and all days. The third high-pressure sensor is applied to monitoring disasters such as glacier sports, ground subsidence, earthquakes, landslides, debris flows, floods and the like in the field of natural disasters.
At present, the quality of an obtained high-resolution third-order image interference phase diagram is not high due to track errors and baseline errors in the field of radar interference monitoring, and therefore the high-resolution third-order image interference phase diagram cannot be fully utilized for time sequence deformation monitoring of a target area.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a time sequence radar interference monitoring method based on third high-resolution, which can improve the quality of the third high-resolution interference phase diagram by correcting the track error and the base line error, thereby realizing high-precision monitoring of the surface deformation of a target area.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
a time sequence radar interference monitoring method based on a third high-resolution method comprises the following steps:
s1, acquiring an interference phase diagram of a target area by using a third high-resolution method;
s2, obtaining a winding interference phase diagram of the target area according to the interference phase diagram of the target area and the digital elevation model data in the step S1;
s3, obtaining a winding interference phase diagram of the target area with dense stripes removed according to the ephemeris data and the winding interference phase diagram of the target area in the step S2;
s4, according to polynomial fitting, a linear regression model and the winding interference phase diagram of the target area with dense stripes removed in the step S3, obtaining a winding interference phase diagram after the target area is corrected;
s5, acquiring a time sequence deformation rate chart of the high-resolution third image of the target area by adopting a time sequence radar interferometry method according to the winding interference phase chart corrected by the target area in the step S4 so as to realize the monitoring of the target area.
Further, step S2 includes the following sub-steps:
s21, registering and interference combining the interference images of the target area in the step S1 to generate a single-view winding interference phase diagram of the target area;
s22, carrying out land leveling and topography correction on the single-view winding interference phase diagram of the target area in the bisection step S21 according to the digital elevation model data, and obtaining the winding interference phase diagram of the target area.
Further, step S3 includes the following sub-steps:
s31, according to ephemeris data, acquiring a first initial baseline of a winding interference phase diagram of a target area by using orbit state vector estimation;
s32, obtaining interference fringe frequency data, and obtaining a second initial baseline of a winding interference phase diagram of the target area according to the interference fringe frequency data;
s33, obtaining a winding interference phase diagram of the target area with dense stripes removed according to the first initial baseline in the substep S31 and the second initial baseline in the substep S32.
Further, step S31 includes the following sub-steps:
s311, fitting a time position curve of the satellite according to ephemeris data;
s312, calculating unknown parameters of the time position curve of the satellite in the substep S311 according to a least square method, and obtaining an orbit curve model of the satellite;
s313, acquiring a first initial baseline of a winding interference phase diagram of the target area according to the orbit curve model of the satellite in the substep S312.
Further, in substep S311, a time-position curve of the satellite is fitted, expressed as:
wherein:for the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For sampling point time, +.>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis,/>For the antenna centre +.>Axis coordinate value->For the antenna centre +.>The constant term coefficient of the axis is,/>for the antenna centre +.>Primary term coefficient of axis,/>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis,/>For the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis.
Further, step S4 includes the following sub-steps:
s41, performing phase unwrapping on the wrapping interference phase map with the dense stripes removed from the target area in the step S3 to obtain an unwrapped interference phase map of the target area;
s42, obtaining the residual phase of the track error according to the phase jump of the unwrapped interference phase diagram of the target area in the polynomial fitting substep S41;
s43, obtaining an atmospheric error by using a linear regression model according to the unwrapped interference phase diagram of the target area in the substep S41;
s44, obtaining a fitting result according to the residual phase of the orbit error in the polynomial fitting substep S42 and the atmospheric error in the substep S43;
s45, correcting the winding interference phase diagram with the dense stripes removed in the step S3 according to the fitting result in the substep S44, and obtaining a winding interference phase diagram corrected by the target area.
Further, in substep S42, the phase jump of the unwrapped interference phase map of the target area in substep S41 is fitted, and the residual phase of the track error is obtained, expressed as:
wherein:for unwrapping the residual phase of the track error in the interferometric phase map,/for example>Is +.>Axis coordinates->Is +.>Axis coordinates->Is the first coefficient of the residual phase, +.>Is the second coefficient of the residual phase, +.>Is the third coefficient of the residual phase, +.>Is the fourth coefficient of the residual phase, +.>Is the fifth coefficient of the residual phase, +.>Is the sixth coefficient of the residual phase.
Further, in substep S43, the atmospheric error is obtained using a linear regression model, expressed as:
wherein:to unwrap atmospheric errors in the interferogram, +.>Is +.>The axis of the rotation is set to be at the same position,is +.>Axis coordinates->Is the first coefficient of atmospheric error, +.>Is a second coefficient of the atmospheric error,to unwrap elevation information in the interferometric phase map.
Further, step S5 includes the following sub-steps:
s51, selecting candidate points of a filtering phase coherence loss slow target point according to the amplitude difference dispersion index and the winding interference phase diagram corrected by the target area in the step S4;
s52, determining a phase error according to candidate points of the filtering phase loss coherent slow target point in the substep S51;
s53, determining a measure parameter of the pixel noise level according to the phase error in the substep S52;
s54, selecting a filtering phase incoherent slow target point according to the measure parameter of the pixel noise level in the substep S53 and the candidate point of the filtering phase incoherent slow target point in the substep S51;
s55, acquiring a time sequence deformation rate diagram of a high-resolution third image of the target area according to the filtering phase coherence loss slow target point in the substep S54, the 3D unwrapping method and the unwrapped interference phase diagram corrected by the target area in the step S4 so as to realize the monitoring of the target area.
The invention has the following beneficial effects:
(1) According to the method, the quality of the high-resolution third-order interference phase diagram is improved by correcting the track error and the baseline error, so that the high-precision monitoring of the surface deformation of the target area is realized;
(2) According to the invention, the first initial baseline and the second initial baseline of the winding interference phase diagram of the target area are obtained by utilizing the track state vector estimation and the interference fringe frequency data, the baseline error and the track error can be primarily corrected, and the winding interference phase diagram of the target area with dense fringes removed is obtained;
(3) According to the invention, the preliminarily corrected interference phase map is subjected to phase unwrapping, and the residual phase of the track error and the atmospheric error are fitted by utilizing a polynomial, so that the preliminarily corrected interference phase map can be subjected to further refined correction, and a winding interference phase map corrected by a target area is obtained;
(4) According to the invention, by adopting a time sequence radar interferometry method, the phase correction and the atmosphere correction can be carried out on the winding interference phase diagram corrected by the acquired target area, and the time sequence deformation rate diagram of the high-resolution third image of the target area is acquired, so that the effective monitoring of the target area is realized.
Drawings
Fig. 1 is a schematic flow chart of a time sequence radar interference monitoring method based on third high-resolution.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in FIG. 1, a time sequence radar interference monitoring method based on third high-resolution method includes steps S1-S5, specifically as follows:
s1, obtaining an interference phase diagram of the target area by using the third high-resolution method.
In an alternative embodiment of the present invention, the present invention selects a target area to be monitored, and obtains an interference phase map of the target area using the third high score. The invention utilizes the interference phase map obtained by the third high-resolution method to have track errors and baseline errors, and only a small amount of interference phase map can be applied to the field of interference monitoring of the time sequence radar.
S2, obtaining a winding interference phase diagram of the target area according to the interference phase diagram of the target area and the digital elevation model data in the step S1.
In an optional embodiment of the invention, the invention generates a single-view winding interference phase diagram of the target area according to the interference phase diagram of the target area, and performs land leveling and topography correction according to the single-view winding interference phase diagram of the target area of the digital elevation model data to obtain the winding interference phase diagram of the target area.
Step S2 comprises the following sub-steps:
s21, registering and interference combining the interference phase map of the target area in the step S1 to generate a single-view winding interference phase map of the target area.
Specifically, the invention registers and combines interference phase diagrams of the target area to generate a single-view winding interference phase diagram of the target area.
S22, carrying out land leveling and topography correction on the single-view winding interference phase diagram of the target area in the bisection step S21 according to the digital elevation model data, and obtaining the winding interference phase diagram of the target area.
S3, obtaining a winding interference phase diagram of the target area with dense stripes removed according to the ephemeris data and the winding interference phase diagram of the target area in the step S2.
In an optional embodiment of the invention, according to the ephemeris data and the winding interference phase diagram of the target area, a method of combining state vector estimation and interference fringe frequency data is adopted to primarily correct track errors and baseline errors existing in the high-resolution three-number interference phase diagram, and the winding interference phase diagram of the target area with dense fringes removed is obtained.
Step S3 comprises the following sub-steps:
s31, according to ephemeris data, a first initial baseline of a winding interference phase diagram of the target area is obtained through orbit state vector estimation.
Step S31 includes the following sub-steps:
s311, fitting a time position curve of the satellite according to the ephemeris data.
The time position curve of the fitted satellite is expressed as:
wherein:for the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For sampling point time, +.>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis,/>For the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis,/>For the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis.
Specifically, the method can obtain the position of the center of the antenna and the time of the sampling point in the satellite operation process recorded in the high-resolution three-number interference phase diagram according to ephemeris data, and can use the data to simulate the time position curve.
S312, calculating unknown parameters of the time position curve of the satellite in the substep S311 according to a least square method, and obtaining an orbit curve model of the satellite.
Specifically, the method acquires position point data of the centers of five antennas, and can solve position parameters in a time position curve, namely constant term coefficients, primary term coefficients, secondary term coefficients and tertiary term coefficients corresponding to coordinate axes according to a least square method, so as to acquire a satellite orbit curve model.
S313, acquiring a first initial baseline of a winding interference phase diagram of the target area according to the orbit curve model of the satellite in the substep S312.
S32, obtaining interference fringe frequency data, and obtaining a second initial baseline of a winding interference phase diagram of the target area according to the interference fringe frequency data.
Specifically, the invention can obtain interference fringe frequency data by a maximum likelihood estimation frequency method. The invention converts the winding interference phase diagram of the target area from a space domain to a frequency domain through a fast Fourier transform method to calculate interference fringe frequency, which is expressed as:
wherein:for the transformation of the winding interference phase diagram of the target area in the frequency domain +.>Is imaginary unit, ++>For track jump phase +.>For deformation phase +.>Is +.>Axis coordinates->Is +.>Axis coordinates->For distance frequency, ++>For the frequency of azimuth +.>Is the residual phase.
The invention can deduce the relation between the second initial baseline and the interference fringe frequency according to the fringe frequency, and further acquire the second initial baseline of the winding interference phase diagram of the target area according to the obtained interference fringe frequency data.
S33, obtaining a winding interference phase diagram of the target area with dense stripes removed according to the first initial baseline in the substep S31 and the second initial baseline in the substep S32.
S4, obtaining a winding interference phase diagram after the target area correction according to polynomial fitting, the linear regression model and the winding interference phase diagram of the target area with the dense stripes removed in the step S3.
In an alternative embodiment of the invention, the invention carries out phase unwrapping on the interference phase map after preliminary correction, and the unwrapped interference phase map after the correction of the target area is obtained according to polynomial fitting, linear regression model and the wrapping interference phase map with the dense stripes removed, which can fit the residual phase and atmospheric error of the orbit error and eliminate the nonlinear error in the orbit error, so as to carry out further refined correction on the interference phase map after the preliminary correction.
Step S4 comprises the following sub-steps:
s41, performing phase unwrapping on the wrapping interference phase map with the dense stripes removed from the target area in the step S3, and obtaining an unwrapped interference phase map of the target area.
S42, obtaining the residual phase of the track error according to the phase jump of the unwrapped interference phase diagram of the target area in the polynomial fitting substep S41.
The invention fits the phase jump of the unwrapped interference phase diagram of the target area in the substep S41, obtains the residual phase of the track error, and is expressed as:
wherein:for unwrapping the residual phase of the track error in the interferometric phase map,/for example>Is +.>Axis coordinates->Is +.>Axis coordinates->Is the first coefficient of the residual phase, +.>Is the second coefficient of the residual phase, +.>Is the third coefficient of the residual phase, +.>Is the fourth coefficient of the residual phase, +.>Is the fifth coefficient of the residual phase, +.>Is the sixth coefficient of the residual phase.
S43, obtaining the atmospheric error by using a linear regression model according to the unwrapped interference phase diagram of the target area in the substep S41.
The invention utilizes a linear regression model to obtain the atmospheric error, which is expressed as:
wherein:to unwrap atmospheric errors in the interferogram, +.>Is +.>The axis of the rotation is set to be at the same position,is +.>Axis coordinates->Is the first coefficient of atmospheric error, +.>Is a second coefficient of the atmospheric error,to unwrap elevation information in the interferometric phase map.
S44, obtaining a fitting result according to the residual phase of the orbit error in the polynomial fitting substep S42 and the atmospheric error in the substep S43.
S45, correcting the winding interference phase diagram with the dense stripes removed in the step S3 according to the fitting result in the substep S44, and obtaining a winding interference phase diagram corrected by the target area.
S5, acquiring a time sequence deformation rate chart of the high-resolution third image of the target area by adopting a time sequence radar interferometry method according to the winding interference phase chart corrected by the target area in the step S4 so as to realize the monitoring of the target area.
In an optional embodiment of the invention, according to the winding interference phase map corrected by the target area, the phase correction and the atmosphere correction are carried out on the winding interference phase map corrected by the acquired target area by adopting a time sequence radar interferometry method, and the time sequence deformation rate map of the high-resolution third image of the target area is acquired so as to realize the monitoring of the target area.
Step S5 comprises the following sub-steps:
s51, selecting candidate points of the filtering phase coherence loss slow target point according to the amplitude difference dispersion index and the winding interference phase diagram corrected by the target area in the step S4.
S52, determining a phase error according to the candidate points of the filtering phase loss coherent slow target point in the substep S51.
S53, determining a measure parameter of the pixel noise level according to the phase error in the substep S52.
S54, selecting a filtering phase coherence-losing slow target point according to the measure parameter of the pixel noise level in the substep S53 and the candidate point of the filtering phase coherence-losing slow target point in the substep S51.
S55, acquiring a time sequence deformation rate diagram of a high-resolution third image of the target area according to the filtering phase coherence loss slow target point in the substep S54, the 3D unwrapping method and the unwrapped interference phase diagram corrected by the target area in the step S4 so as to realize the monitoring of the target area.
Specifically, according to the filtering phase coherence loss slow target point in the substep S54, the phase correction can be performed on the unwrapped interference phase map corrected by the target area, the phase unwrapped interference phase map is performed according to the 3D unwrapped method, and the unwrapped interference phase map is subjected to atmosphere correction by the space correlation error correction method, so that the time sequence deformation rate map of the high-resolution third image of the target area is obtained, and further accurate monitoring of the target area is realized.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Those of ordinary skill in the art will recognize that the embodiments described herein are for the purpose of aiding the reader in understanding the principles of the present invention and should be understood that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (9)
1. A time sequence radar interference monitoring method based on a third high-resolution method is characterized by comprising the following steps:
s1, acquiring an interference phase diagram of a target area by using a third high-resolution method;
s2, obtaining a winding interference phase diagram of the target area according to the interference phase diagram of the target area and the digital elevation model data in the step S1;
s3, obtaining a winding interference phase diagram of the target area with dense stripes removed according to the ephemeris data and the winding interference phase diagram of the target area in the step S2;
s4, according to polynomial fitting, a linear regression model and the winding interference phase diagram of the target area with dense stripes removed in the step S3, obtaining a winding interference phase diagram after the target area is corrected;
s5, acquiring a time sequence deformation rate chart of the high-resolution third image of the target area by adopting a time sequence radar interferometry method according to the winding interference phase chart corrected by the target area in the step S4 so as to realize the monitoring of the target area.
2. The method for interference monitoring of time sequence radar based on third high score according to claim 1, wherein the step S2 comprises the following sub-steps:
s21, registering and interference combining the interference images of the target area in the step S1 to generate a single-view winding interference phase diagram of the target area;
s22, carrying out land leveling and topography correction on the single-view winding interference phase diagram of the target area in the bisection step S21 according to the digital elevation model data, and obtaining the winding interference phase diagram of the target area.
3. The method for interference monitoring of time sequence radar based on third high score according to claim 1, wherein the step S3 comprises the following sub-steps:
s31, according to ephemeris data, acquiring a first initial baseline of a winding interference phase diagram of a target area by using orbit state vector estimation;
s32, obtaining interference fringe frequency data, and obtaining a second initial baseline of a winding interference phase diagram of the target area according to the interference fringe frequency data;
s33, obtaining a winding interference phase diagram of the target area with dense stripes removed according to the first initial baseline in the substep S31 and the second initial baseline in the substep S32.
4. A method of time-series radar interferometry based on third-order high score according to claim 3, wherein step S31 comprises the sub-steps of:
s311, fitting a time position curve of the satellite according to ephemeris data;
s312, calculating unknown parameters of the time position curve of the satellite in the substep S311 according to a least square method, and obtaining an orbit curve model of the satellite;
s313, acquiring a first initial baseline of a winding interference phase diagram of the target area according to the orbit curve model of the satellite in the substep S312.
5. The method for interference monitoring of time-series radar based on third-order high score according to claim 4, wherein in the substep S311, a time-position curve of the satellite is fitted, expressed as:
wherein:for the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For sampling point time, +.>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis,/>For the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis,/>For the antenna centre +.>Axis coordinate value->For the antenna centre +.>Constant term coefficient of axis,/>For the antenna centre +.>Primary term coefficient of axis,/>For the antenna centre +.>Quadratic term coefficient of axis,/>For the antenna centre +.>The cubic term coefficient of the axis.
6. The method for interference monitoring of time sequence radar based on third high score according to claim 1, wherein the step S4 comprises the following sub-steps:
s41, performing phase unwrapping on the wrapping interference phase map with the dense stripes removed from the target area in the step S3 to obtain an unwrapped interference phase map of the target area;
s42, obtaining the residual phase of the track error according to the phase jump of the unwrapped interference phase diagram of the target area in the polynomial fitting substep S41;
s43, obtaining an atmospheric error by using a linear regression model according to the unwrapped interference phase diagram of the target area in the substep S41;
s44, obtaining a fitting result according to the residual phase of the orbit error in the polynomial fitting substep S42 and the atmospheric error in the substep S43;
s45, correcting the winding interference phase diagram with the dense stripes removed in the step S3 according to the fitting result in the substep S44, and obtaining a winding interference phase diagram corrected by the target area.
7. The method for monitoring interference of time-series radar based on third high-resolution method according to claim 6, wherein in the substep S42, phase jumps of unwrapped interference phase diagrams of the target area in the substep S41 are fitted, and residual phases of track errors are obtained, which are expressed as:
wherein:for unwrapping the residual phase of the track error in the interferometric phase map,/for example>Is +.>Axis coordinates->Is +.>Axis coordinates->First to be residual phaseCoefficient of->As a second coefficient of the residual phase,is the third coefficient of the residual phase, +.>Is the fourth coefficient of the residual phase, +.>Is the fifth coefficient of the residual phase, +.>Is the sixth coefficient of the residual phase.
8. The method for interference monitoring of time-series radar based on third-order high score according to claim 6, wherein in the substep S43, the atmospheric error is obtained by using a linear regression model, expressed as:
wherein:to unwrap atmospheric errors in the interferogram, +.>Is +.>Axis coordinates->Is +.>Axis coordinates->Is the first coefficient of atmospheric error, +.>Is a second coefficient of the atmospheric error,to unwrap elevation information in the interferometric phase map.
9. The method for interference monitoring of time sequence radar based on third high score according to claim 1, wherein the step S5 comprises the following sub-steps:
s51, selecting candidate points of a filtering phase coherence loss slow target point according to the amplitude difference dispersion index and the winding interference phase diagram corrected by the target area in the step S4;
s52, determining a phase error according to candidate points of the filtering phase loss coherent slow target point in the substep S51;
s53, determining a measure parameter of the pixel noise level according to the phase error in the substep S52;
s54, selecting a filtering phase incoherent slow target point according to the measure parameter of the pixel noise level in the substep S53 and the candidate point of the filtering phase incoherent slow target point in the substep S51;
s55, acquiring a time sequence deformation rate diagram of a high-resolution third image of the target area according to the filtering phase coherence loss slow target point in the substep S54, the 3D unwrapping method and the unwrapped interference phase diagram corrected by the target area in the step S4 so as to realize the monitoring of the target area.
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