CN110109112A - A kind of sea-filling region airport deformation monitoring method based on InSAR - Google Patents
A kind of sea-filling region airport deformation monitoring method based on InSAR Download PDFInfo
- Publication number
- CN110109112A CN110109112A CN201910359755.3A CN201910359755A CN110109112A CN 110109112 A CN110109112 A CN 110109112A CN 201910359755 A CN201910359755 A CN 201910359755A CN 110109112 A CN110109112 A CN 110109112A
- Authority
- CN
- China
- Prior art keywords
- phase
- deformation
- point target
- candidate point
- sea
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The present invention provides a kind of sea-filling region airport deformation monitoring method based on InSAR, extracts the candidate point target of discrete distribution;The phase standard for calculating each candidate point target is poor, obtains stablizing point target;The phase of the stable point target is carried out three-dimensional space-time solution to twine, solution is obtained and twines phase;Using least square method, obtain include space interference components deformation phase;According to it is described include that the deformation PHASE SEPARATIONs of space interference components goes out atmospheric phase and orbit error phase, obtain deformation phase;It calculates the weight of deformation phase and stablizes the time series deformation of point target, to complete the monitoring using time series InSAR technology to the deformation of sea-filling region airport.The present invention is combined using amplitude deviation threshold value and time coherence Y-factor method Y, is improved candidate point target in the quantity and density in the airport Tian Hai area, is improved rate of deformation accuracy, this method can also be used in the high-precision inverting of the complicated place Deformation Field in Low coherence area.
Description
Technical field
The invention belongs to Ground Deformation monitoring technical field more particularly to a kind of sea-filling region airport shapes based on InSAR
Become monitoring method.
Background technique
Conventional Ground Deformation monitoring method mainly includes traditional geodesic survey, and layering mark, the measurement of the level is such as arranged, and
GPS measurement etc..The above monitoring means can only also obtain the deformation data on a small amount of discrete observation point, be not used to disclose earth's surface shape
The temporal and spatial evolution of variable field, relative to traditional earth's surface monitoring means, time series InSAR technology is able to carry out on a large scale
Deformation monitoring, precision is up to grade.The technology covers the SAR image set of areal by collecting, and concentrates research when long
Between the ground point target of high coherence is kept in sequence SAR image, it is relevant to be successfully applied to Shanghai, Tianjin and Beijing etc. at present
Property higher urban area and other vegetative coverages rareness test block Ground Deformation monitoring in.
However, sea reclamation area belongs to Low coherence area, lacks readily identified point from the perspective of InSAR analysis
Target, it is difficult to carry out time series deformation analysis, meanwhile, the Large Infrastructure Projects on structure such as airport are different from other cities and build
It builds, is usually bare area or plant between airfield runway with lawn, the degree of coherence of on-site echo-signal is very low, causes these places
In addition to the infrastructure on airport itself, lack readily identified Target scalar.If using the SAR system of medium spatial and temporal resolution
System, the SAR image obtained such as European Space Agency satellite ERS-1/2 and ENVISAT are data source, utilize conventional time series
When InSAR processing technique carries out deformation resolving, due to the limitation of image resolution and the limitation of conventional method itself, extract
Stable objects point than sparse, be difficult at this time with true Deformation Field in the deformation reflecting regional in point target.
High-resolution radar satellite in orbit, by taking TerraSAR-X satellite as an example, tracks positioned precision, image solution
Analysis degree etc. relatively before SAR system have been greatly improved, Ground Deformation monitoring in advantage become apparent, make in a way
The fining monitoring of large-sized artificial atural object is possibly realized.However, the radar wavelength of X-band is shorter, it is easy to by decoherence phenomenon
Influence, meanwhile, the geological conditions in sea reclamation area is typically more complicated, and complicated geological conditions will cause building thereon
It is changeable to deform pattern, to cause InSAR deformation observation interpretation difficult.
Therefore, how high-resolution TerraSAR-X satellite image is being combined, is expanding time series InSAR technology and is filling out
The application in the Low coherences such as extra large epeirogenetic area is faced with new opportunities and challenges.
Summary of the invention
For above-mentioned deficiency in the prior art, a kind of sea-filling region airport deformation based on InSAR provided by the invention
Monitoring method can utilize the candidate point Objective extraction strategy of radar imagery and time coherence Y-factor method Y, improve candidate point target
Quantity and density in the airport Tian Hai area realize the space-time including the airports such as airfield runway and taxiway representative region Deformation Field
Analysis, improves the accuracy of deformation monitoring rate.
In order to reach the goals above, the technical solution adopted by the present invention are as follows:
This programme provides a kind of sea-filling region airport deformation monitoring method based on InSAR, includes the following steps:
S1, the candidate point mesh that discrete distribution in the region of sea-filling region airport is extracted according to preset amplitude deviation threshold value
Mark;
S2, the phase standard for calculating each candidate point target according to the candidate point target of the discrete distribution are poor, obtain steady
Pinpoint target;
S3, the phase progress three-dimensional space-time solution of the stable point target is twined, obtains solution and twines phase;
S4, twine phase according to the solution and obtained using least square method include space interference components deformation phase;
It S5, include that the deformation PHASE SEPARATIONs of space interference components goes out atmospheric phase and orbit error phase according to,
Obtain deformation phase;
S6, according to the deformation phase utilize Ground Deformation and radar imagery relationship, calculate deformation phase weight with
And stablize the time series deformation of point target, to complete using time series InSAR technology to the deformation of sea-filling region airport
Monitoring.
Further, the step S2 includes the following steps:
S201, space filtering grid is constructed using the candidate point target of discrete distribution, removes the phase contribution of space correlation;
S202, the space-independent landform residual phase of candidate point and error phase are calculated using closest difference, obtain
Landform residual phase and time coherence coefficient;
S203, according to the time coherence coefficient, obtain the time coherence coefficient threshold of candidate point target using statistic law,
And select relevant point target;
S204, judge whether the time coherence coefficient is less than the time coherence coefficient threshold, if so, entering step
S206, conversely, then entering step S205;
S205, according to the space-independent error phase of the candidate point, calculate the signal-to-noise ratio of relevant point target, and pass through
Signal-to-noise ratio updates the grid phase weight in space filtering grid, return step S201;
S206, the phase standard for calculating each candidate point according to judging result are poor;
S207, judge whether the candidate point phase standard difference is less than preset minimum phase standard deviation threshold method, if being less than,
S3 is then entered step, conversely, the candidate point target of mistake is then removed, to complete the extraction to point target is stablized.
Still further, the expression formula of the grid phase weight in the step S205 in space filtering grid is as follows:
Wherein, the grid phase weight in φ representation space filtering grid, ADIiIndicate amplitude deviation, n indicates candidate point
Sum,Indicate initial weight, φiIndicate the phase value of i-th of candidate point.
Still further, include in the step S4 deformation phase of space interference components calculation formula it is as follows:
Wherein,Expression includes the deformation phase of space interference components,It indicates in interferometric phase
Except the excess phase after landform phase,Indicate the sum of atmospheric phase and orbit error phase,Indicate noise
Phase.
Still further, the step S5 specifically:
According to the deformation phase for including space interference components, using low in the high-pass filtering and spatial domain in time-domain
Pass filter isolates atmospheric phase and orbit error phase, obtains deformation phase.
Still further, the weight computing formula of the deformation phase in the step S6 is as follows:
P=diag (σ1, σ2... σN)
Wherein, P indicates that the weight of deformation phase, diag () indicate diagonal matrix function, σkIndicate that kth interferes image pair
Interferometric phase standard deviation, N indicate interference image pair quantity,Indicate x-th of stable point target in k-th of interference shadow
As to upper noise phase, M indicates to stablize the quantity of point target.
Still further, the expression formula of the time series deformation v of the candidate point target in the step S6 is as follows:
V=(T'PT)-1T'Pd
Wherein, T' indicates that the transposed matrix of the time reference line matrix of candidate point target, P indicate the weight matrix of deformation phase, T
Indicate that the time reference line matrix of candidate point target, d indicate the deformation quantity of candidate point target.
Beneficial effects of the present invention:
(1) present invention utilizes the technical monitoring sea reclamation area time series InSAR airport, improves joint amplitude deviation
The method of ADI and time coherence coefficient identifies the candidate point target in Low coherence area, by the phase standard that candidate point is arranged poor
Threshold value excludes wrong point target that may be present, that is, the phase standard for calculating each candidate point is poor, if the candidate target point is in office
The minimum phase standard deviation of one interference centering is greater than threshold value, then the candidate target point will be given up as unstable pinpoint target, and
The weight of deformation phase and the time series deformation of candidate point target are calculated using radar imagery and time coherence Y-factor method Y, are mentioned
High quantity and density of the candidate point target in the airport Tian Hai area;
(2) present invention extracts strategy based on the point target of amplitude deviation ADI and time coherence Y-factor method Y by combining, and improves
Point target the airport Tian Hai area quantity and density, it can be achieved that including the airports representative region deformation such as airfield runway and taxiway
The space-time analysis of field, the confidence level which corresponds to the true rate of deformation in ground is 95%, and the present invention is further combined with geology
Environment learns interpretation to deformation with carrying out, and monitoring result can coincide with the weak degree variation tendency of on-site clay distribution, pass through
The present invention handles the fining monitoring that high resolution SAR data are suitable for the Low coherences means of transportation deformation such as airport, and method is available
In the high-precision inverting of the complicated place Deformation Field in Low coherence area.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention.
Specific embodiment
A specific embodiment of the invention is described below, in order to facilitate understanding by those skilled in the art this hair
It is bright, it should be apparent that the present invention is not limited to the ranges of specific embodiment, for those skilled in the art,
As long as various change is in the spirit and scope of the present invention that the attached claims limit and determine, these variations are aobvious and easy
See, all are using the innovation and creation of present inventive concept in the column of protection.
Embodiment
The present invention utilizes the technical monitoring sea reclamation area time series InSAR airport, improves joint and closes ADI and time
The method of coherence factor identifies the point target in Low coherence area, and the phase standard difference threshold value exclusion by the way that candidate point is arranged may deposit
Wrong point target, that is, the phase standard for calculating each candidate point is poor, if this is in any minimum phase mark of the interference in
Quasi- difference is greater than threshold value, then the point will be given up as unstable pinpoint target, and method is implemented as follows:
As shown in Figure 1, the invention discloses a kind of sea-filling region airport deformation monitoring method based on InSAR, is realized
Method is as follows:
S1, the candidate point mesh that discrete distribution in the region of sea-filling region airport is extracted according to preset amplitude deviation threshold value
Mark;
S2, the phase standard for calculating each candidate point target according to the candidate point target of the discrete distribution are poor, obtain steady
Pinpoint target includes the following steps:
S201, space filtering grid is constructed according to the candidate point target of discrete distribution, removes the phase contribution of space correlation,
In specific embodiment, the grid of candidate point target constructs space filtering grid using the candidate point of discrete distribution, with removal
The phase contribution of space correlation, the phase value of grid are obtained by calculating the weighted average of point target phase, and by the inverse of ADI
It is defined as initial weight;
S202, the space-independent landform residual phase of candidate point and error phase are calculated using closest difference, obtain
Landform residual phase and time coherence coefficient, in specific embodiment, since landform residual phase is the function of DEM error, can be led to
The method that step-size in search is set within the scope of DEM limits of error difference is crossed, optimal landform residual phase is searched for, so that time coherence system
Number reaches maximum, and records time coherence coefficient at this time and landform residual phase;
S203, according to the time coherence coefficient, obtain the time coherence coefficient threshold of candidate point target using statistic law,
And select relevant point target;
S204, judge whether the time coherence coefficient is less than the time coherence coefficient threshold, if so, entering step
S206, conversely, then entering step S205;
S205, according to the space-independent error phase of the candidate point, calculate the signal-to-noise ratio of relevant point target, and pass through
Signal-to-noise ratio updates the grid phase weight in space filtering grid, return step S201, until the variation of the value is less than defined
Stop iteration when limit difference, wherein the expression formula of the grid phase weight in space filtering grid is as follows
Wherein, the grid phase weight in φ representation space filtering grid, ADIiIndicate amplitude deviation, n indicates candidate point
Sum,Indicate initial weight, φiIndicate the phase value of i-th of candidate point;
S206, the phase standard for calculating each candidate point according to judging result are poor;
S207, judge whether the candidate point phase standard difference is less than preset minimum phase standard deviation threshold method, if being less than,
S3 is then entered step, conversely, the candidate point target of mistake is then removed, to complete the extraction to stable candidate point target;
In the present embodiment, by above-mentioned Iterative, the point target that there is mistake is rejected, is identified anti-for subsequent deformation
The stabilization point target drilled is twined by carrying out three-dimensional space-time solution to its phase after the extraction for completing point target, recovers absolute solution
Phase is twined, hereafter, solves the phase changing capacity on time dimension first with least square method, obtained deformation phase includes
There is the interference of other space correlation components;Further according to the space-time characterisation of interference components, using in time-domain high-pass filtering and sky
Between low-pass filtering on domain isolate atmospheric phase and orbit error phase, finally obtain deformation phase.Using Ground Deformation with
The upward deformation quantity of radar line of sight is calculated in the geometrical relationship of radar imagery, as follows with the deformation values in acquisition time sequence
Step:
S3, the phase progress three-dimensional space-time solution of the stable point target is twined, obtains solution and twines phase;
S4, twine phase according to the solution and obtained using least square method include space interference components deformation phase, institute
State include space interference components deformation phase calculation formula it is as follows:
Wherein,Expression includes the deformation phase of space interference components,It indicates in interferometric phase
Except the excess phase after landform phase,For the sum of atmospheric phase and orbit error phase,Indicate noise phase
Position;
It S5, include that the deformation PHASE SEPARATIONs of space interference components goes out atmospheric phase and orbit error phase according to,
Deformation phase is obtained, specifically:
According to the deformation phase for including space interference components, using low in the high-pass filtering and spatial domain in time-domain
Pass filter isolates atmospheric phase and orbit error phase, obtains deformation phase;
S6, according to the deformation phase utilize Ground Deformation and radar imagery relationship, calculate deformation phase weight with
And stablize the time series deformation of point target, to complete using time series InSAR technology to the deformation of sea-filling region airport
Monitoring, wherein
The weight computing formula of the deformation phase is as follows:
P=diag (σ1, σ2... σN)
Wherein, P indicates that the weight of deformation phase, diag () indicate diagonal matrix function, σkIndicate that kth interferes image pair
Interferometric phase standard deviation, N indicate interference image pair quantity,Indicate x-th of stable point target in k-th of interference shadow
As to upper noise phase, M indicates to stablize the quantity of point target;
The expression formula of the time series deformation v of candidate's point target is as follows:
V=(T'PT)-1T'Pd
Wherein, T' indicates that the transposed matrix of the time reference line matrix of candidate point target, P indicate the weight matrix of deformation phase, T
Indicate that the time reference line matrix of candidate point target, d indicate the deformation quantity of candidate point target.
The present invention utilizes the technical monitoring sea reclamation area time series InSAR airport, and using amplitude deviation threshold value and
Time coherence Y-factor method Y combines, and improves candidate point target in the quantity and density in the airport Tian Hai area, realizes including airport
The space-time analysis of the airports such as runway and taxiway representative region Deformation Field, improves deformation accuracy, this method can also be used in low
The high-precision inverting of relevant area complicated field area Deformation Field.
Claims (7)
1. a kind of sea-filling region airport deformation monitoring method based on InSAR, which comprises the steps of:
S1, the candidate point target that discrete distribution in the region of sea-filling region airport is extracted according to preset amplitude deviation threshold value;
S2, the phase standard for calculating each candidate point target according to the candidate point target of the discrete distribution are poor, obtain stable point
Target;
S3, the phase progress three-dimensional space-time solution of the stable point target is twined, obtains solution and twines phase;
S4, twine phase according to the solution and obtained using least square method include space interference components deformation phase;
S5, include that the deformation PHASE SEPARATIONs of space interference components goes out atmospheric phase and orbit error phase according to, obtain
Deformation phase;
S6, the relationship that Ground Deformation and radar imagery are utilized according to the deformation phase calculate the weight of deformation phase and steady
The time series deformation of pinpoint target, to complete the monitoring using time series InSAR technology to the deformation of sea-filling region airport.
2. the sea-filling region airport deformation monitoring method according to claim 1 based on InSAR, which is characterized in that described
Step S2 includes the following steps:
S201, space filtering grid is constructed using the candidate point target of discrete distribution, removes the phase contribution of space correlation;
S202, the space-independent landform residual phase of candidate point and error phase are calculated using closest difference, obtain landform
Residual phase and time coherence coefficient;
S203, according to the time coherence coefficient, obtain the time coherence coefficient threshold of candidate point target using statistic law, and select
Be concerned with point target out;
S204, judge whether the time coherence coefficient is less than the time coherence coefficient threshold, if so, entering step
S206, conversely, then entering step S205;
S205, according to the space-independent error phase of the candidate point, calculate the signal-to-noise ratio of relevant point target, and pass through noise
Than updating the grid phase weight in space filtering grid, return step S201;
S206, the phase standard for calculating each candidate point according to judging result are poor;
S207, judge whether the candidate point phase standard difference is less than preset minimum phase standard deviation threshold method, if being less than, into
Enter step S3, conversely, the candidate point target of mistake is then removed, to complete the extraction to point target is stablized.
3. the sea-filling region airport deformation monitoring method according to claim 2 based on InSAR, which is characterized in that described
The expression formula of grid phase weight in step S205 in space filtering grid is as follows:
Wherein, the grid phase weight in φ representation space filtering grid, ADIiIndicate amplitude deviation, n indicates the total of candidate point
Number,Indicate that initial weight, φ i indicate the phase value of i-th of candidate point.
4. the sea-filling region airport deformation monitoring method according to claim 1 based on InSAR, which is characterized in that described
Include in step S4 the deformation phase of space interference components calculation formula it is as follows:
Wherein,Expression includes the deformation phase of space interference components,It indicates in interferometric phase removably
Excess phase after shape phase,Indicate the sum of atmospheric phase and orbit error phase,Indicate noise phase
Position.
5. the sea-filling region airport deformation monitoring method according to claim 1 based on InSAR, which is characterized in that described
Step S5 specifically:
According to the deformation phase for including space interference components, using the low pass filtered in the high-pass filtering and spatial domain in time-domain
Wavelength-division separates out atmospheric phase and orbit error phase, obtains deformation phase.
6. the sea-filling region airport deformation monitoring method according to claim 1 based on InSAR, which is characterized in that described
The weight computing formula of deformation phase in step S6 is as follows:
P=diag (σ1, σ2... σN)
Wherein, P indicates that the weight of deformation phase, diag () indicate diagonal matrix function, σkIndicate kth interference image to doing
Relating to that phase standard is poor, N indicates the quantity of interference image pair,Indicate x-th of stable point target in k-th of interference image pair
On noise phase, M indicate stablize point target quantity.
7. the sea-filling region airport deformation monitoring method according to claim 1 based on InSAR, which is characterized in that described
The expression formula of the time series deformation v of candidate point target in step S6 is as follows:
V=(T'PT)-1T'Pd
Wherein, T' indicates that the transposed matrix of the time reference line matrix of candidate point target, P indicate that the weight matrix of deformation phase, T indicate
The time reference line matrix of candidate point target, d indicate the deformation quantity of candidate point target.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910359755.3A CN110109112B (en) | 2019-04-30 | 2019-04-30 | InSAR-based method for monitoring deformation of airport in sea reclamation area |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910359755.3A CN110109112B (en) | 2019-04-30 | 2019-04-30 | InSAR-based method for monitoring deformation of airport in sea reclamation area |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110109112A true CN110109112A (en) | 2019-08-09 |
CN110109112B CN110109112B (en) | 2020-04-07 |
Family
ID=67487793
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910359755.3A Active CN110109112B (en) | 2019-04-30 | 2019-04-30 | InSAR-based method for monitoring deformation of airport in sea reclamation area |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110109112B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111308468A (en) * | 2019-11-27 | 2020-06-19 | 北京东方至远科技股份有限公司 | Method for automatically identifying deformation risk area based on In SAR technology |
CN111998766A (en) * | 2020-08-31 | 2020-11-27 | 同济大学 | Surface deformation inversion method based on time sequence InSAR technology |
CN113866765A (en) * | 2021-09-24 | 2021-12-31 | 中国科学院精密测量科学与技术创新研究院 | PS-InSAR measurement method based on multi-component time coherent model |
CN114280608A (en) * | 2022-03-07 | 2022-04-05 | 成都理工大学 | Method and system for removing DInSAR elevation-related atmospheric effect |
CN115205345A (en) * | 2022-02-23 | 2022-10-18 | 西南交通大学 | Land surface non-uniform deformation information extraction and management method for airport in sea reclamation area |
CN116736306A (en) * | 2023-08-15 | 2023-09-12 | 成都理工大学 | Time sequence radar interference monitoring method based on third high-resolution |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106772342A (en) * | 2017-01-11 | 2017-05-31 | 西南石油大学 | A kind of Timing Difference radar interference method suitable for big gradient surface subsidence monitoring |
CN106940443A (en) * | 2017-01-16 | 2017-07-11 | 洪都天顺(深圳)科技有限公司 | Complicated city infrastructure PSInSAR deformation methods of estimation under the conditions of cloud-prone and raining |
CN106950556A (en) * | 2017-05-03 | 2017-07-14 | 三亚中科遥感研究所 | Heritage area deformation monitoring method based on distributed diffusion body sequential interference SAR technology |
CN108627834A (en) * | 2018-06-07 | 2018-10-09 | 北京城建勘测设计研究院有限责任公司 | A kind of subway road structure monitoring method and device based on ground InSAR |
US10205457B1 (en) * | 2018-06-01 | 2019-02-12 | Yekutiel Josefsberg | RADAR target detection system for autonomous vehicles with ultra lowphase noise frequency synthesizer |
-
2019
- 2019-04-30 CN CN201910359755.3A patent/CN110109112B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106772342A (en) * | 2017-01-11 | 2017-05-31 | 西南石油大学 | A kind of Timing Difference radar interference method suitable for big gradient surface subsidence monitoring |
CN106940443A (en) * | 2017-01-16 | 2017-07-11 | 洪都天顺(深圳)科技有限公司 | Complicated city infrastructure PSInSAR deformation methods of estimation under the conditions of cloud-prone and raining |
CN106950556A (en) * | 2017-05-03 | 2017-07-14 | 三亚中科遥感研究所 | Heritage area deformation monitoring method based on distributed diffusion body sequential interference SAR technology |
US10205457B1 (en) * | 2018-06-01 | 2019-02-12 | Yekutiel Josefsberg | RADAR target detection system for autonomous vehicles with ultra lowphase noise frequency synthesizer |
CN108627834A (en) * | 2018-06-07 | 2018-10-09 | 北京城建勘测设计研究院有限责任公司 | A kind of subway road structure monitoring method and device based on ground InSAR |
Non-Patent Citations (1)
Title |
---|
樊力彰: "小数据集时间序列PS-InSAR技术及其地表沉降应用", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111308468A (en) * | 2019-11-27 | 2020-06-19 | 北京东方至远科技股份有限公司 | Method for automatically identifying deformation risk area based on In SAR technology |
CN111998766A (en) * | 2020-08-31 | 2020-11-27 | 同济大学 | Surface deformation inversion method based on time sequence InSAR technology |
CN111998766B (en) * | 2020-08-31 | 2021-10-15 | 同济大学 | Surface deformation inversion method based on time sequence InSAR technology |
CN113866765A (en) * | 2021-09-24 | 2021-12-31 | 中国科学院精密测量科学与技术创新研究院 | PS-InSAR measurement method based on multi-component time coherent model |
CN113866765B (en) * | 2021-09-24 | 2022-12-13 | 中国科学院精密测量科学与技术创新研究院 | PS-InSAR measurement method based on multi-component time coherent model |
CN115205345A (en) * | 2022-02-23 | 2022-10-18 | 西南交通大学 | Land surface non-uniform deformation information extraction and management method for airport in sea reclamation area |
CN114280608A (en) * | 2022-03-07 | 2022-04-05 | 成都理工大学 | Method and system for removing DInSAR elevation-related atmospheric effect |
CN114280608B (en) * | 2022-03-07 | 2022-06-17 | 成都理工大学 | Method and system for removing DInSAR elevation-related atmospheric effect |
CN116736306A (en) * | 2023-08-15 | 2023-09-12 | 成都理工大学 | Time sequence radar interference monitoring method based on third high-resolution |
CN116736306B (en) * | 2023-08-15 | 2023-10-24 | 成都理工大学 | Time sequence radar interference monitoring method based on third high-resolution |
Also Published As
Publication number | Publication date |
---|---|
CN110109112B (en) | 2020-04-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110109112A (en) | A kind of sea-filling region airport deformation monitoring method based on InSAR | |
Xiao et al. | Use of general regression neural networks for generating the GLASS leaf area index product from time-series MODIS surface reflectance | |
Sarker et al. | Forest biomass estimation using texture measurements of high-resolution dual-polarization C-band SAR data | |
Yoo et al. | Beach volume change using UAV photogrammetry Songjung beach, Korea | |
CN109388887B (en) | Quantitative analysis method and system for ground settlement influence factors | |
CN108981616B (en) | Method for inverting effective leaf area index of artificial forest by unmanned aerial vehicle laser radar | |
CN110287457A (en) | Corn Biomass inverting measuring method based on satellite military systems data | |
Chen et al. | A method of three‐dimensional location for LFEDA combining the time of arrival method and the time reversal technique | |
CN114689015B (en) | Method for improving elevation precision of optical satellite stereoscopic image DSM | |
Véga et al. | A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments | |
CN105974418A (en) | Rainfall estimation method based on weather radar reflectivity feature matching | |
Darmanto et al. | Urban roughness parameters estimation from globally available datasets for mesoscale modeling in megacities | |
CN113238228B (en) | Three-dimensional earth surface deformation obtaining method, system and device based on level constraint | |
Yang et al. | A new technical pathway for extracting high accuracy surface deformation information in coal mining areas using UAV LiDAR data: An example from the Yushen mining area in western China | |
CN113723000A (en) | Farmland soil moisture simulation method based on Sentinel data and deep learning model | |
CN116861647A (en) | Layered water-containing layer group water storage coefficient inversion method combining MT-InSAR technology and MGWR model | |
CN109655910A (en) | The two-parameter full waveform inversion method of Ground Penetrating Radar based on phasing | |
CN116183868A (en) | Remote sensing estimation method and system for organic carbon in soil of complex ecological system | |
WO2018224607A1 (en) | Method for acquiring a seismic dataset over a region of interest and related system | |
CN109387872A (en) | Surface-related multiple prediction technique | |
Catalão et al. | Mapping the geoid for Iberia and the Macaronesian Islands using multi-sensor gravity data and the GRACE geopotential model | |
CN111983668A (en) | Method and system for obtaining seismic parameter estimation | |
Sulaiman et al. | Geoid model estimation without additive correction using KTH approach for Peninsular Malaysia | |
CN117572378B (en) | Mountain settlement analysis method and device based on InSAR and Beidou data | |
CN109559053A (en) | A kind of vegetation accessibility measure based on path distance |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |