CN110055945A - A kind of monitoring method, device and the relevant device of soil solidifying sedimentation - Google Patents
A kind of monitoring method, device and the relevant device of soil solidifying sedimentation Download PDFInfo
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Abstract
This application discloses a kind of monitoring methods of soil solidifying sedimentation, including obtain satellite image data and field survey data；PS observational network is constructed according to satellite image data；Field survey data are handled by least-square fitting approach, construct nonliner equation group deformation model；Based on PS observational network, DS observational network is constructed by nonliner equation group deformation model；Geocoding is carried out to PS observational network and DS observational network and vertically to projection process, obtains VERTICAL DEFORMATION figure；Data analysis is carried out to soil solidifying settling data according to VERTICAL DEFORMATION figure, realizes soil solidifying settlement monitoring；The monitoring method efficiently solves linear phase deformation model and the mismatch problems for Nonlinear Consolidation sedimentation of banketing in early days, improves the success rate of soil consolidation settlement monitoring.Disclosed herein as well is monitoring device, equipment and the computer readable storage mediums of a kind of sedimentation of soil solidifying, all have above-mentioned beneficial effect.
Description
Technical field
This application involves civil engineering field, in particular to a kind of monitoring method of soil solidifying sedimentation further relates to one kind
Monitoring device, equipment and the computer readable storage medium of soil solidifying sedimentation.
Background technique
Filling out extra large (banketing) with making is to solve urban land deficiency effective mode the most direct, especially in short supply to soil
The effect of coastal port city is obvious.Compared to American-European western countries, Chinese to fill out extra large course relatively short.Hong Kong is as Chinatown
The representative of city's sea reclamation, fill out sea it is with a long history, quantity is more, and scale is big, and purposes is wide.Its reclaimed land is multi-purpose to make construction land
Such as airport, harbour, recreational facilities, megastore.Therefore, implement civil engineering in new soil building for Subsequent secure economy,
The early fallout monitoring of reclaimed land is then particularly important.
Synthetic aperture radar interferometry (InSAR, Interferometric Synthetic Aperture Radar)
Technology overcomes the limitation of ground instrument, it is possible to provide low cost, high-spatial and temporal resolution (1 meter of space, two weeks time), high-precision
The round-the-clock surface deformation monitoring means of (grade).Continue to develop in recent years growth multidate InSAR technology (MTInSAR,
Multi-Temporal InSAR) it is mature applied to urban infrastructure safety monitoring, transportation system safety monitoring, geology calamity
Evil prevention, the fields such as hazards entropy.
However, traditional MTInSAR processing mode still has technology and lacks for the surface deformation monitoring for newly making reclaimed land
It falls into and deficiency.Wherein the most outstanding is exactly that the rapid subsidence of soil consolidation early stage is easy to cause serious phase dephasing
It is dry, directly influence MTInSAR, especially high-resolution PSI (Persistent Scatterer Interferometry, forever
Long scatterer interfering synthetic aperture radar) success rate of the technology when early fallout is banketed in detection be, which is because, in traditional skill
Art field generally uses linear phase model to be monitored the ground deformation in process of consolidation of banketing in early days, but ground
Practical deformation process be it is nonlinear, thus will lead to the practical deformation in ground, there are apparent mismatches with linear phase model
Property, and then seriously affect the success rate for consolidation settlement monitoring of banketing in early days.
Therefore, linear phase deformation model how is effectively solved and the mismatch problems for Nonlinear Consolidation sedimentation of banketing in early days,
The success rate for improving soil consolidation settlement monitoring is those skilled in the art's urgent problem to be solved.
Summary of the invention
The purpose of the application is to provide a kind of monitoring method of soil solidifying sedimentation, the monitoring method of soil solidifying sedimentation
It efficiently solves linear phase deformation model and the mismatch problems for Nonlinear Consolidation sedimentation of banketing in early days, it is heavy to improve soil consolidation
The success rate of monitoring drops；The another object of the application is to provide monitoring device, equipment and the calculating of a kind of soil solidifying sedimentation
Machine readable storage medium storing program for executing, it may have above-mentioned beneficial effect.
In order to solve the above technical problems, the soil body is solid this application provides a kind of monitoring method of soil solidifying sedimentation
Tying the monitoring method settled includes:
Obtain satellite image data and field survey data；
PS observational network is constructed according to the satellite image data；
The field survey data are handled by least-square fitting approach, construct nonliner equation group deformation mould
Type；
Based on the PS observational network, DS observational network is constructed by the nonliner equation group deformation model；
Geocoding is carried out to the PS observational network and the DS observational network and vertically to projection process, obtains VERTICAL DEFORMATION
Figure；
Data analysis is carried out to soil solidifying settling data according to the VERTICAL DEFORMATION figure, realizes soil solidifying sedimentation prison
It surveys.
Preferably, the field survey data include magnetic extensometer monitoring data, GNSS monitoring data and ground level
Monitoring data.
It is preferably, described to construct PS observational network according to the satellite image data, comprising:
Pretreatment is carried out to the satellite image data and obtains standard satellite image data；
Each PS candidate point is chosen according to the amplitude dispersion index of the standard satellite shadow intensity data information；
Each PS candidate point is attached according to the Di Luoni triangulation network, obtains PS network；
Deformation parameter estimation is carried out to PS network segmental arc each in the PS network by robust estimator, obtains each PS segmental arc
Parameter；
Pass through PS observational network described in the PS network struction after each PS segmental arc parameter and adjustment processing.
It is preferably, described that pretreatment acquisition standard satellite image data is carried out to the satellite image data, comprising:
Main image and auxiliary image are determined in the satellite image data；
Interference processing is carried out to the main image and each auxiliary image based on full resolution, obtains each interference pair；
To each interference to carrying out level land Phase Processing and going landform Phase Processing, the standard satellite image is obtained
Data.
Preferably, described that the field survey data are handled by least-square fitting approach, it constructs non-linear
Settle deformation model, comprising:
By the field survey data projection to the direction LOS, each measuring station corresponding to the field survey data is clicked through
Row network interconnection obtains LOS between each measuring station point segmental arc to observation data；
The LOS is fitted to observation data by the least-square fitting approach, obtains hyperbolic functions deformation
Model and exponential function deformation model；
It replaces predetermined linear to settle deformation model the hyperbolic functions deformation model and exponential function deformation model, obtains
The nonliner equation group deformation model.
Preferably, described to be based on the PS observational network, DS observational network, packet are constructed by the nonliner equation group deformation model
It includes:
To each interference to homogeneity filtering processing is carried out, each optimization interference pair is obtained；
According to the PS observational network and each optimization interference to building DS network；
The phase model of the item containing non-linear deformation is obtained according to the nonliner equation group deformation model；
Each DS network segmental arc in the DS network is calculated by the phase model, obtains each DS segmental arc parameter,
Complete the building of DS observational network.
Preferably, described that geocoding and upright projection processing are carried out to the PS observational network and the DS observational network, it obtains
Obtain VERTICAL DEFORMATION figure, comprising:
Geocoding is carried out to the PS observational network and the DS observational network, obtains under geographic coordinate system LOS to deformation map；
The LOS is carried out to obtain the VERTICAL DEFORMATION figure vertically to projection process to deformation map.
In order to solve the above technical problems, present invention also provides a kind of monitoring device of soil solidifying sedimentation, the soil body
The monitoring device of consolidation settlement includes:
Data acquisition module, for obtaining satellite image data and field survey data；
PS observational network constructs module, for constructing PS observational network according to the satellite image data；
Nonlinear model construct module, for by least-square fitting approach to the field survey data at
Reason constructs nonliner equation group deformation model；
DS observational network constructs module, is based on the PS observational network for logical, passes through the nonliner equation group deformation model structure
Build DS observational network；
Geocoder module, for carrying out geocoding to the PS observational network and the DS observational network and vertically to projection
Processing obtains VERTICAL DEFORMATION figure；
Soil solidifying settlement monitoring module, for carrying out data to soil solidifying settling data according to the VERTICAL DEFORMATION figure
Soil solidifying settlement monitoring is realized in analysis.
In order to solve the above technical problems, present invention also provides a kind of monitoring device of soil solidifying sedimentation, the soil body
The monitoring device of consolidation settlement includes:
Memory, for storing computer program；
Processor realizes the monitoring method of any one of the above soil solidifying sedimentation when for executing the computer program
The step of.
In order to solve the above technical problems, the computer can present invention also provides a kind of computer readable storage medium
It reads to be stored with computer program on storage medium, the computer program realizes any one of the above soil body when being executed by processor
The step of monitoring method of consolidation settlement.
A kind of monitoring method of soil solidifying sedimentation provided herein, including obtain satellite image data and survey on the spot
Measure data；PS observational network is constructed according to the satellite image data；By least-square fitting approach to the field survey number
According to being handled, nonliner equation group deformation model is constructed；Based on the PS observational network, pass through the nonliner equation group deformation model
Construct DS observational network；Geocoding is carried out to the PS observational network and the DS observational network and vertically to projection process, is hung down
Straight deformation map；Data analysis is carried out to soil solidifying settling data according to the VERTICAL DEFORMATION figure, realizes soil solidifying sedimentation prison
It surveys.
As it can be seen that the monitoring method that soil solidifying provided herein settles, introduces field survey data and bankets to simulate
The non-linear deformation process of material early stage consolidation settlement, so that the linear deformation part in traditional PS I phase functional mode is replaced,
Efficiently solve linear phase deformation model and the mismatch problems for Nonlinear Consolidation sedimentation of banketing in early days；Further, pass through satellite
The lasting scatterer of data integration (PS, Persistent Scatterer) and distributed diffusion body (DS, Distributed
Scatterer), to establish PS+DS bilayer observation grid, pass through the combination of the two kinds of measurement means in space and ground as a result, it is real
Now the high-spatial and temporal resolution for newly filling out land early stage rapid subsidence is monitored, more facilitates to carry out banket stability assessment and system
Fixed subsequent civil engineering plan etc..
Monitoring device, equipment and the computer readable storage medium of a kind of soil solidifying sedimentation provided herein,
Above-mentioned beneficial effect is all had, details are not described herein.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is the flow diagram for the monitoring method that a kind of soil solidifying provided herein settles；
Fig. 2 is the flow diagram for the monitoring method that another soil solidifying provided herein settles；
Fig. 3 is the structural schematic diagram for the monitoring device that a kind of soil solidifying provided herein settles；
Fig. 4 is the structural schematic diagram for the monitoring device that a kind of soil solidifying provided herein settles.
Specific embodiment
The core of the application is to provide a kind of monitoring method of soil solidifying sedimentation, the monitoring method of soil solidifying sedimentation
It efficiently solves linear phase deformation model and the mismatch problems for Nonlinear Consolidation sedimentation of banketing in early days, it is heavy to improve soil consolidation
The success rate of monitoring drops；Another core of the application is to provide monitoring device, equipment and the calculating of a kind of soil solidifying sedimentation
Machine readable storage medium storing program for executing, it may have above-mentioned beneficial effect.
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
All other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Referring to FIG. 1, Fig. 1 is the flow diagram for the monitoring method that a kind of soil solidifying provided herein settles,
The soil solidifying sedimentation monitoring method may include:
S101: satellite image data and field survey data are obtained；
This step aims at spatial data and the on the spot acquisition of data.Wherein, spatial data is above-mentioned satellite image
Data are specifically as follows SAR satellite image data, such as C-band, X-band, L-band and Different Ground resolution ratio, different time
The data such as resolution ratio；Satellite image data may be from different platform, for example, European Space Agency (ESA, European Space
Agency Sentinel-1 satellite data), German TerraSAR satellite data, and the CosmoSkyMed of Italy are defended
Sing data etc..Data are above-mentioned field survey data on the spot, be monitored on the spot by module related measurement devices it is obtained
Data；The firsthand information of the field survey data as the true deformation of banketing of reflection, is more applicable for non-thread to recent fill region
The simulation of property deformation process.Wherein, the type of field survey data is varied, in the monitoring process of practical soil solidifying sedimentation
In, type selection can be carried out to it according to the actual situation, the application does not limit this.
Preferably, above-mentioned field survey data may include magnetic extensometer monitoring data, GNSS (Global
Navigation Satellite System, Global Satellite Navigation System) monitoring data and ground level monitoring data.
This application provides more specific field survey data, i.e. magnetic extensometer monitoring data, GNSS monitoring data with
And ground level monitoring data, wherein magnetic extensometer monitoring data can carry out field survey acquisition, GNSS prison by magnetic extensometer
Measured data can be obtained based on GNSS system monitoring, and ground level monitoring data can be carried out monitoring on the spot by ground level and be obtained
?.
S102: PS observational network is constructed according to satellite image data；
This step aims at the building of PS observational network, is specifically based on the satellite image data obtained in S101 and is constructed
, for its specific building process, any one in prior art can be used, the application does not limit this.
Preferably, it is above-mentioned according to satellite image data construct PS observational network may include: satellite image data are carried out it is pre-
Processing obtains standard satellite image data；It is candidate that each PS is chosen according to the amplitude dispersion index of standard satellite shadow intensity data information
Point；Each PS candidate point is attached according to the Di Luoni triangulation network, obtains PS network；By robust estimator to each in PS network
PS network segmental arc carries out deformation parameter estimation, obtains each PS segmental arc parameter；Pass through the PS after each PS segmental arc parameter and adjustment processing
Network struction PS observational network.
This application provides a kind of construction method of more specific PS observational network, i.e. reconnaissance networks.Specifically, first
First, satellite image data can be pre-processed, the satellite image data of more standard is obtained, to improve the accurate of monitoring result
Property；Wherein, pretreated specific implementation process has no effect on the implementation of the technical program, and the application does not limit this.Into one
Step calculates the strength information of standard satellite image data, and then according to its amplitude dispersion index (ADI, Amplitude
Dispersion Index) carry out PS candidate point selection, each PS candidate point can be attached as a result, form PS net
Network；Wherein, for the connection procedure of PS candidate point, the Di Luoni triangulation network (Delaunay triangulation can be specifically based on
Network it) realizes, in all possible triangulation network, the Di Luoni triangulation network can be kept away in the case where discrete point is uniformly distributed
Exempt from the triangle for having too small acute angle, shows to be particularly splendid in terms of landform fitting.Further, PS network struction is completed
Afterwards, parameter estimation, to obtain its corresponding parameter information, i.e., above-mentioned PS segmental arc can be carried out to each PS network segmental arc therein
Parameter；Since PS candidate point is mostly phase stabilization point, such as earthen fill zone neighboring buildings, road, basement rock, therefore traditional line can be selected
Property model PS segmental arc parameter is resolved, in this application, be based on robust estimator Beamforming and M-
Estimator realizes the parameter estimation procedure；Wherein, PS network segmental arc is the line between two PS candidate points.Finally, right
PS network carries out overall adjustment, obtains the deformation sequence of each PS point, as a result, can be by each PS segmental arc parameter and adjustment processing
PS network struction afterwards is at above-mentioned PS observational network.
Preferably, above-mentioned that pretreatment acquisition standard satellite image data is carried out to satellite image data, it may include: to defend
Main image and auxiliary image are determined in star image data；Interference processing is carried out to main image and each auxiliary image based on full resolution, is obtained
Obtain each interference pair；To each interference to carrying out level land Phase Processing and go landform Phase Processing, standard satellite image data is obtained.
This application provides a kind of realization processes of more specific satellite image data prediction, specifically, obtaining
After satellite image, it is first determined its main image and auxiliary image, wherein when other satellite images are all registrated to same specified image
When space, which is main image, remaining image be supplemented by image；Further, to each auxiliary image in main image
Interference processing is carried out, i.e., each auxiliary image does successively interference processing with main image, and thus interference pattern obtained is dry
It relates to pair, which can specifically be realized based on full resolution；Finally, to progress level land Phase Processing and going landform phase to each interference
Position processing, can be obtained above-mentioned standard satellite image data, process be implemented for it, referring to prior art, this Shen
It is not repeating herein please.
S103: being handled field survey data by least-square fitting approach, constructs nonliner equation group deformation mould
Type；
This step aims at the building of nonliner equation group deformation model, i.e., based on the amount number of observing and controlling on the spot obtained in S101
It is factually existing.Since field survey data are the firsthand information of the true deformation of banketing of reflection, it is more applicable for recent fill area
Therefore the simulation of domain non-linear deformation process can be fitted processing to each field survey data by least square fitting,
To obtain the nonliner equation group deformation model for simulating soil solidifying infall process, since the model is nonlinear, and base
Be fitted and obtain in field survey data, efficiently solve in traditional technology linear phase deformation model with banket in early days it is non-linear solid
Tie the mismatch problems of sedimentation.
Preferably, field survey data are handled above by least-square fitting approach, constructs nonliner equation group
Deformation model may include: by field survey data projection to the direction LOS (Line Of Sight, satellite direction of visual lines), to reality
Measurement data corresponding each measuring station point in ground carries out network interconnection, obtains LOS between each measuring station point segmental arc to observation data；It is logical
It crosses least-square fitting approach and LOS is fitted to observation data, obtain hyperbolic functions deformation model and exponential function deformation
Model；It replaces predetermined linear to settle deformation model hyperbolic functions deformation model and exponential function deformation model, obtains non-linear
Settle deformation model.
This application provides the construction methods of more specific nonliner equation group deformation model, specifically, firstly, will on the spot
Measurement data is projected to the direction LOS, is changed into LOS to observation data, ground is respectively measured to website interconnection and constitutes network, to obtain
LOS between each measuring station point segmental arc is to deformation values, at this point, being fitted by least-square fitting approach to it, obtains hyperbolic
(Hyperbolic) function deformation model and index (Exponential) function deformation model, wherein hyperbolic functions deformation model
It is nonlinear function deformation model with exponential function deformation model, the nonlinear function deformation model is substituted into tradition as a result,
Linear sedimentation deformation model, i.e. above-mentioned predetermined linear settles deformation model, can be obtained nonliner equation group deformation model, thus
Realize the simulation to soil solidifying infall process.
S104: being based on PS observational network, constructs DS observational network by nonliner equation group deformation model；
This step aims at the building of DS observational network, can be first DS using the PS observational network in S102 as reference net
Point extension provides basis, further combined with the nonliner equation group deformation model constructed in S103, can construct and resolve acquisition DS
Observational network.Specifically, since early stage ground of banketing is mostly exposed soil, and settle fast, such earth's surface multilist when MTInSAR is analyzed
It is now the distributed diffusion body of medium/low coherence, or even dephasing is dry completely, if equally using in above-mentioned S102 specific embodiment
The calculation method of PS will be unable to the deformation signal for effectively recovering such area, and therefore, the building of DS observational network is intended to restore
The useful deformation signal in medium/low coherence area.
Preferably, above-mentioned to be based on PS observational network, DS observational network is constructed by nonliner equation group deformation model, may include:
To each interference to homogeneity filtering processing is carried out, each optimization interference pair is obtained；According to PS observational network and each optimization interference to building DS
Network；The phase model of the item containing non-linear deformation is obtained according to nonliner equation group deformation model；By phase model to DS network
In each DS network segmental arc calculated, obtain each DS segmental arc parameter, complete the building of DS observational network.
Corresponding to the specific implementation process of above-mentioned PS observational network building, the application also provides more specific DS observational network
Building process, specifically, firstly, satellite image data is carried out it is pretreated during have been obtained for each interference
It is right, to effectively improve interference to quality, can interfere to homogeneity filtering processing is carried out each, the interference pair after being optimized optimizes
The deformation parameter for more facilitating subsequent DS network segmental arc is estimated in interference afterwards；Further, referring to PS observational network, by each DS
The candidate point one or more PS reference points closest with it (i.e. above-mentioned PS candidate point) are attached, and constitute DS network segmental arc,
To form DS network；Finally, being carried out by parameter information of the above-mentioned nonliner equation group deformation model to each DS network segmental arc
It solves, can be obtained corresponding DS segmental arc parameter, which is similar to the parameter estimation procedure of above-mentioned PS network segmental arc, as a result,
It can be obtained the DS observational network of extension.
S105: geocoding is carried out to PS observational network and DS observational network and vertically to projection process, obtains VERTICAL DEFORMATION figure；
This step aims at the acquisition of VERTICAL DEFORMATION figure, which can be used for realizing point of soil solidifying sedimentation
Analysis.Specifically, the PS observational network and DS observational network due to above-mentioned building belong to SAR coordinate system, therefore, it is necessary to carry out to it
Coordinate system conversion, that is, carry out above-mentioned geocoding；Further, since the field survey data for carrying out nonlinear model building are
LOS to, therefore also need to carry out vertically the data after geocoding to projection process, with obtain under geographic coordinate system vertically to
Deformation map, i.e., above-mentioned VERTICAL DEFORMATION figure, to assist the banket subsequent analysis and assessment of infall process.
Preferably, above-mentioned to carry out geocoding to PS observational network and DS observational network, obtaining VERTICAL DEFORMATION figure may include: pair
PS observational network and DS observational network carry out geocoding, obtain under geographic coordinate system LOS to deformation map；LOS is carried out to deformation map
Vertically to projection process, VERTICAL DEFORMATION figure is obtained.
This application provides the acquisition process of more specific VERTICAL DEFORMATION figure, i.e., first to PS observational network and DS observational network into
After row geocoding obtain geographic coordinate system under LOS to deformation map, then by vertically to projection process be transformed into vertically to
Deformation map.In addition, can also the deformation results be done with further time domain or filter in spatial domain processing, to improve soil solidifying sedimentation
The accuracy of monitoring result.
It should be noted that above-mentioned S101~S105 is the building process of VERTICAL DEFORMATION figure, sea is filled out for areal
Make ground engineering, building process can Exactly-once, and directly transferred during subsequent soil solidifying settlement monitoring, nothing
It need to repeatedly construct.
S106: carrying out data analysis to soil solidifying settling data according to VERTICAL DEFORMATION figure, realizes soil solidifying sedimentation prison
It surveys.
This step aims at the monitoring of soil solidifying infall process, specifically, in infall process of banketing, for surveying
The soil solidifying settling data measured directly can carry out Data Analysis Services to it by above-mentioned VERTICAL DEFORMATION figure, and then complete
Soil solidifying settlement monitoring during marine reclamation land.
The monitoring method of soil solidifying sedimentation provided herein introduces field survey data to simulate fill material morning
The non-linear deformation process of phase consolidation settlement effectively solves to replace the linear deformation part in traditional PS I phase functional mode
The mismatch problems of linear phase of having determined deformation model and Nonlinear Consolidation sedimentation of banketing in early days；Further, pass through satellite data collection
At lasting scatterer (PS, Persistent Scatterer) and distributed diffusion body (DS, Distributed
Scatterer), to establish PS+DS bilayer observation grid, pass through the combination of the two kinds of measurement means in space and ground as a result, it is real
Now the high-spatial and temporal resolution for newly filling out land early stage rapid subsidence is monitored, more facilitates to carry out banket stability assessment and system
Fixed subsequent civil engineering plan etc..
On the basis of above-mentioned each embodiment, referring to FIG. 2, Fig. 2 is another soil solidifying provided herein
The specific implementation flow of the monitoring method of sedimentation, the monitoring method is as follows:
First the soil solidifying Monitoring method of the subsidence in traditional technology field is simply introduced below:
For haplopia interference pattern k, pixel i includes deformation phase, landform relative to the double difference interferometric phase of reference pixel
Phase, atmospheric phase and noise phase, in traditional PS I technology, for directly according to the winding physical parameters such as phase estimation deformation,
Deformation phase bit position is normally based on (rate of deformation is constant) hypothesized model of linear deformation, i.e., above-mentioned linear sedimentation deformation mould
Type:
Wherein,For deformation phase term, λ is radar signal wavelength,To interfere the time reference line to k, viFor average shape
Variable Rate.
Therefore, if given satellite image parameter, such as wavelength X, time reference lineSpatial vertical baselineIncidence angle θ, tiltedly
Away from distance R, then linear interference phase power function may be expressed as:
Wherein, Δ h is that landform is remaining, comes from landform phase term.
To estimate rate of deformation v, it usually needs solve time-domain coherence coefficientMaximum value (i.e. observation phase and above-mentioned line
Property sedimentation deformation model best match), above-mentioned time-domain coherence coefficientCalculation formula are as follows:
Wherein, N is the quantity of interference pair,To observe phase,For phase model (i.e. above-mentioned interference phase bit function
Function).
Obviously, if the practical deformation in ground and phase model (linear) are there are apparent mismatch, i.e. hypothesized model seriously takes off
From in the actual conditions of ground deformation, it will be difficult to obtain higherValue.Therefore, pass through time-domain coherence coefficientCalculation formula
True ground deformation process can not accurately be estimated from InSAR observation phase.
To solve the above problems, then needing to seek to consolidate the letter of situation (generally non-linear) closer to practical banket in early days
Number goes to describe such deformation process, and field survey data (including magnetic extensometer, GNSS, ground level etc.) are true as reflection
Banket the firsthand information of deformation, is best suited for simulating the non-linear deformation process in recent fill region.
With reference to Fig. 2, soil solidifying Monitoring method of the subsidence provided herein is introduced below:
Step 1, InSAR pretreatment and building PS observational network:
MTInSAR preprocessing process be related to the importings of satellite image data be registrated, and based on complete after selected main image
Resolution ratio generates interference pair, wherein intervention module includes interference processing, goes level land phase, goes landform phase etc..
The candidate point selection of PS network can be realized based on the amplitude dispersion index of SAR image data strength information, and be passed through
Each candidate point is connected by the Di Luoni triangulation network constructs PS network, wherein TIN shown in Fig. 2 indicates irregular angle net
(Triangulated Irregular Network), the application use the Di Luoni triangulation network；Further, robust estimator is utilized
Beamforming and M-estimator resolves the deformation parameter between PS network segmental arc, is obtaining each PS network segmental arc deformation quantity
After relative value, overall adjustment is done to PS network, obtains the deformation sequence of each PS point (relative to ginseng a certain in image capturing range
Examination point), complete the building of PS observational network.In addition, PS observational network is as the basis that reference net is that subsequent DS point extends.
Step 2, the deformation process simulation based on field survey data:
By field survey data projection to the direction LOS；Measurement website is interconnected two-by-two with segmental arc, and resolves segmental arc between website
On deformation relative value, except between website be connected segmental arc in addition to, the absolute value of website deformation is then regarded as this website relative to 0 deformation website
Deformation relative quantity in the virtual segmental arc of (i.e. virtual site).
Further, it is banketed process of consolidation using Hyperbolic and Exponential functional simulation early stage:
Hyperbolic:
Exponential:def=a (e(-bt)-1)；
Wherein, t is the time interval that the moment is referred to compared to 0 deformation, Va, Vb, a, b are the constant of control function curve.
Work as VbWhen being 0, above-mentioned Hyperbolic function is linear model, therefore, can pass through above-mentioned Hyperbolic letter
The rate of deformation (i.e. rate is not constant) that several and Exponential function representation changes over time, at this point, being substituted into above-mentioned
Linear sedimentation deformation model can be obtained nonlinear phase model (being 0 deformation with reference to the moment with t=0):
Wherein, time reference lineTime span as relative to main image (0 deformation moment), to solve function parameter
Va, Vb, a, b solve deformation of the LOS to segmental arc deformation quantity Optimum Matching between above-mentioned ground station using least-squares estimation
Model, i.e., above-mentioned nonliner equation group deformation model:
Wherein, DefobsFor segmental arc Deformation Observation, fmodelFor fitting gained model, i.e., above-mentioned Hyperbolic and
Exponential function.Each segmental arc observation can obtain one group of relevant parameter, i.e. V as a result,a, Vb, a, b tetra-.
Due to ground deformation substantially space continuous process, it is assumed that function parameter meets normal distribution N (μ, δ), wherein μ
Respectively indicate distribution mathematic expectaion and standard deviation with δ, then can define each parameter area is (ValMin- δ, ValMax+ δ),
In, ValMin, ValMax indicate the minimum value and maximum value of the parameter obtained based on the estimation of above-mentioned nonliner equation group deformation model.
Above-mentioned nonlinear phase model scope is determined as a result, is further replaced above-mentioned linear interference phase power function
Deformation phase bit position can be obtained the interferometric phase power function with non-linear deformation item, i.e., above-mentioned nonliner equation group deformation
Model.
Step 3, building DS observational network:
Firstly, including that the polymerization of homogeneity pixel and phase are excellent to homogeneity filtering, the homogeneity filtering is carried out to each interference
Change；Further, each DS candidate point is connected with its closest one or more PS reference point and constitutes DS segmental arc, and utilize step
The nonliner equation group deformation model obtained in rapid 2 solves DS segmental arc, i.e. solution time-domain coherence coefficientWherein, DS segmental arc parameter
Calculation method is consistent with the resolving of PS segmental arc, can equally realize with robust estimator Beamforming.
In addition, maximum can be retained when selection is connected with multiple PS reference pointsIt is worth the solution of corresponding segmental arc as the DS segmental arc
Solution deformation parameter obtained by segmental arc is added to the deformation parameter of connected PS reference point likewise, the solution of DS segmental arc is also relative quantity
The as deformation values of the DS point complete the building of DS observational network as a result,.
Step 4 obtains vertically to deformation map:
The PS observational network and DS observational network that obtain are resolved by PS and DS network, is the deformation map under SAR coordinate system, because
This, can carry out geocoding to it, obtain LOS under geographic coordinate system to deformation map defLOS, it is assumed that LOS to deformation mainly by
Vertically cause to sedimentation, then can obtain corresponding VERTICAL DEFORMATION figure def according to following formulavertical:
Wherein, θ indicates satellite incidence angle；In addition, can also above-mentioned deformation results be done with time domain or filter in spatial domain etc. into one
Step processing, is banketed with auxiliary and settles subsequent analysis and assessment.
The monitoring method of the sedimentation of soil solidifying provided by the embodiment of the present application introduces field survey data and bankets to simulate
The non-linear deformation process of material early stage consolidation settlement, so that the linear deformation part in traditional PS I phase functional mode is replaced,
Efficiently solve linear phase deformation model and the mismatch problems for Nonlinear Consolidation sedimentation of banketing in early days；Further, pass through satellite
The lasting scatterer of data integration (PS, Persistent Scatterer) and distributed diffusion body (DS, Distributed
Scatterer), to establish PS+DS bilayer observation grid, pass through the combination of the two kinds of measurement means in space and ground as a result, it is real
Now the high-spatial and temporal resolution for newly filling out land early stage rapid subsidence is monitored, more facilitates to carry out banket stability assessment and system
Fixed subsequent civil engineering plan etc..
To solve the above problems, referring to FIG. 3, Fig. 3 is the monitoring dress that a kind of soil solidifying provided herein settles
The structural schematic diagram set, the monitoring device of soil solidifying sedimentation can include:
Data acquisition module 10, for obtaining satellite image data and field survey data；
PS observational network constructs module 20, for constructing PS observational network according to satellite image data；
Nonlinear model constructs module 30, for being handled by least-square fitting approach field survey data,
Construct nonliner equation group deformation model；
DS observational network constructs module 40, for being based on PS observational network, constructs DS observation by nonliner equation group deformation model
Net；
Geocoder module 50, for carrying out geocoding to PS observational network and DS observational network and vertically to projection process,
Obtain VERTICAL DEFORMATION figure；
Soil solidifying settlement monitoring module 60, for carrying out data point to soil solidifying settling data according to VERTICAL DEFORMATION figure
Soil solidifying settlement monitoring is realized in analysis.
As a kind of preferred embodiment, above-mentioned field survey data may include magnetic extensometer monitoring data, GNSS monitoring
Data and ground level monitoring data.
As a kind of preferred embodiment, above-mentioned PS observational network constructs module 20 can include:
Submodule is pre-processed, obtains standard satellite image data for carrying out pretreatment to satellite image data；
PS candidate point chooses submodule, each for being chosen according to the amplitude dispersion index of standard satellite shadow intensity data information
PS candidate point；
PS network struction submodule obtains PS network for being attached according to the Di Luoni triangulation network to each PS candidate point；
PS network parameter estimates submodule, for carrying out deformation to PS network segmental arc each in PS network by robust estimator
Parameter Estimation obtains each PS segmental arc parameter；
PS observational network constructs submodule, for being observed by the PS network struction PS after each PS segmental arc parameter and adjustment processing
Net.
As a kind of preferred embodiment, above-mentioned pretreatment submodule can include:
Image attributes determination unit, for determining main image and auxiliary image in satellite image data；
Interfere processing unit, for carrying out interference processing to main image and each auxiliary image based on full resolution, obtains each dry
It relates to pair；
Standardization unit, for carrying out level land Phase Processing and going landform Phase Processing, being obtained to each interference
Standard satellite image data.
As a kind of preferred embodiment, above-mentioned nonlinear model constructs module 30 can include:
Submodule is projected, is used for field survey data projection to the direction LOS, each measurement corresponding to field survey data
Website carries out network interconnection, obtains LOS between each measuring station point segmental arc to observation data；
Data are fitted submodule, for being fitted to LOS to observation data by least-square fitting approach, obtain double
Bent function deformation model and exponential function deformation model；
Model construction submodule, for hyperbolic functions deformation model and exponential function deformation model to sink instead of predetermined linear
Deformation model is dropped, nonliner equation group deformation model is obtained.
As a kind of preferred embodiment, above-mentioned DS observational network constructs module 40 can include:
Interference is to optimization submodule, for, to homogeneity filtering processing is carried out, obtaining each optimization interference pair to each interference；
DS network struction submodule, for being interfered according to PS observational network and each optimization to building DS network；
Nonlinear phase model acquisition submodule, for obtaining item containing non-linear deformation according to nonliner equation group deformation model
Phase model；
DS observational network constructs submodule, is calculated by phase model DS network segmental arc each in DS network, obtains each
DS segmental arc parameter completes the building of DS observational network.
As a kind of preferred embodiment, above-mentioned geocoder module 50 can include:
First transform subblock obtains under geographic coordinate system for carrying out geocoding to PS observational network and DS observational network
LOS is to deformation map；
Second transform subblock vertically obtains VERTICAL DEFORMATION figure to projection process for carrying out to LOS to deformation map.
Above method embodiment is please referred to for the introduction of device provided by the present application, this will not be repeated here by the application.
To solve the above problems, referring to FIG. 4, Fig. 4 is that the monitoring that a kind of soil solidifying provided herein settles is set
Standby structural schematic diagram, the monitoring device of soil solidifying sedimentation can include:
Memory 1, for storing computer program；
Processor 2, realizes following steps when for executing computer program:
Obtain satellite image data and field survey data；PS observational network is constructed according to satellite image data；Pass through minimum
Two, which multiply approximating method, handles field survey data, constructs nonliner equation group deformation model；Based on PS observational network, by non-
Linear sedimentation deformation model constructs DS observational network；Geocoding is carried out to PS observational network and DS observational network and vertically at projection
Reason obtains VERTICAL DEFORMATION figure；Data analysis is carried out to soil solidifying settling data according to VERTICAL DEFORMATION figure, realizes that soil solidifying is heavy
Drop monitoring.
Above method embodiment is please referred to for the introduction of system provided by the present application, this will not be repeated here by the application.
To solve the above problems, present invention also provides a kind of computer readable storage medium, the computer-readable storage
It is stored with computer program on medium, can be realized when computer program is executed by processor following rapid:
Obtain satellite image data and field survey data；PS observational network is constructed according to satellite image data；Pass through minimum
Two, which multiply approximating method, handles field survey data, constructs nonliner equation group deformation model；Based on PS observational network, by non-
Linear sedimentation deformation model constructs DS observational network；Geocoding is carried out to PS observational network and DS observational network and vertically at projection
Reason obtains VERTICAL DEFORMATION figure；Data analysis is carried out to soil solidifying settling data according to VERTICAL DEFORMATION figure, realizes that soil solidifying is heavy
Drop monitoring.
The computer readable storage medium may include: USB flash disk, mobile hard disk, read-only memory (Read-Only
Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. is various to deposit
Store up the medium of program code.
Above method embodiment is please referred to for the introduction of computer readable storage medium provided by the present application, the application exists
This is not repeated them here.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration
?.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond scope of the present application.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
It to the monitoring method of soil solidifying sedimentation provided herein, device, equipment and computer-readable deposits above
Storage media is described in detail.Specific examples are used herein to illustrate the principle and implementation manner of the present application,
The description of the example is only used to help understand the method for the present application and its core ideas.It should be pointed out that for this technology
For the those of ordinary skill in field, under the premise of not departing from the application principle, several improvement can also be carried out to the application
And modification, these improvement and modification also fall into the protection scope element of the claim of this application.
Claims (10)
1. a kind of monitoring method of soil solidifying sedimentation characterized by comprising
Obtain satellite image data and field survey data；
PS observational network is constructed according to the satellite image data；
The field survey data are handled by least-square fitting approach, construct nonliner equation group deformation model；
Based on the PS observational network, DS observational network is constructed by the nonliner equation group deformation model；
Geocoding is carried out to the PS observational network and the DS observational network and vertically to projection process, obtains VERTICAL DEFORMATION figure；
Data analysis is carried out to soil solidifying settling data according to the VERTICAL DEFORMATION figure, realizes soil solidifying settlement monitoring.
2. monitoring method as described in claim 1, which is characterized in that the field survey data include magnetic extensometer monitoring number
According to GNSS monitoring data and ground level monitoring data.
3. monitoring method as described in claim 1, which is characterized in that described to construct PS observation according to the satellite image data
Net, comprising:
Pretreatment is carried out to the satellite image data and obtains standard satellite image data；
Each PS candidate point is chosen according to the amplitude dispersion index of the standard satellite shadow intensity data information；
Each PS candidate point is attached according to the Di Luoni triangulation network, obtains PS network；
Deformation parameter estimation is carried out to PS network segmental arc each in the PS network by robust estimator, obtains each PS segmental arc ginseng
Number；
Pass through PS observational network described in the PS network struction after each PS segmental arc parameter and adjustment processing.
4. monitoring method as claimed in claim 3, which is characterized in that it is described to the satellite image data carry out pretreatment obtain
Obtain standard satellite image data, comprising:
Main image and auxiliary image are determined in the satellite image data；
Interference processing is carried out to the main image and each auxiliary image based on full resolution, obtains each interference pair；
To each interference to carrying out level land Phase Processing and going landform Phase Processing, the standard satellite image number is obtained
According to.
5. monitoring method as described in claim 1, which is characterized in that it is described by least-square fitting approach to it is described on the spot
Measurement data is handled, and nonliner equation group deformation model is constructed, comprising:
By the field survey data projection to the direction LOS, each measuring station point corresponding to the field survey data carries out net
Network interconnection obtains LOS between each measuring station point segmental arc to observation data；
The LOS is fitted to observation data by the least-square fitting approach, obtains hyperbolic functions deformation model
With exponential function deformation model；
Predetermined linear is replaced to settle deformation model the hyperbolic functions deformation model and exponential function deformation model, described in acquisition
Nonliner equation group deformation model.
6. monitoring method as claimed in claim 3, which is characterized in that it is described to be based on the PS observational network, by described non-thread
Property sedimentation deformation model construct DS observational network, comprising:
To each interference to homogeneity filtering processing is carried out, each optimization interference pair is obtained；
According to the PS observational network and each optimization interference to building DS network；
The phase model of the item containing non-linear deformation is obtained according to the nonliner equation group deformation model；
Each DS network segmental arc in the DS network is calculated by the phase model, obtains each DS segmental arc parameter, is completed
The building of DS observational network.
7. the monitoring method as described in claim 1 to 6 any one, which is characterized in that described to the PS observational network and institute
DS observational network is stated to carry out geocoding and vertically to projection process, obtain VERTICAL DEFORMATION figure, comprising:
Geocoding is carried out to the PS observational network and the DS observational network, obtains under geographic coordinate system LOS to deformation map；
The LOS is carried out to obtain the VERTICAL DEFORMATION figure vertically to projection process to deformation map.
8. a kind of monitoring device of soil solidifying sedimentation, which is characterized in that further include:
Data acquisition module, for obtaining satellite image data and field survey data；
PS observational network constructs module, for constructing PS observational network according to the satellite image data；
Nonlinear model constructs module, for handling by least-square fitting approach the field survey data, structure
Build nonliner equation group deformation model；
DS observational network constructs module, for being based on the PS observational network, constructs DS by the nonliner equation group deformation model and sees
Survey grid；
Geocoder module, for carrying out geocoding to the PS observational network and the DS observational network and vertically at projection
Reason obtains VERTICAL DEFORMATION figure；
Soil solidifying settlement monitoring module, for carrying out data point to soil solidifying settling data according to the VERTICAL DEFORMATION figure
Soil solidifying settlement monitoring is realized in analysis.
9. a kind of monitoring device of soil solidifying sedimentation characterized by comprising
Memory, for storing computer program；
Processor realizes that soil solidifying as claimed in any one of claims 1 to 7 is heavy when for executing the computer program
The step of monitoring method of drop.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the computer program realize soil solidifying sedimentation as claimed in any one of claims 1 to 7 when being executed by processor
Monitoring method the step of.
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