85 results about "Interferometric phase" patented technology

The invention discloses a method and system for constructing an interferometric phase unwrapping model based on discrete wavelet transform, and relates to the field of image phase unwrapping, and the method comprises the specific steps: constructing an InSAR synthetic data set based on an SRTM DEM, a two-dimensional Gaussian curved surface and an InSAR measurement error source; an interferometric phase unwrapping model based on discrete wavelet transform is constructed, the interferometric phase unwrapping model comprises an encoder network, a bottleneck layer, a decoder network and an output layer which are connected in sequence, and the encoder network comprises a plurality of cross-stacked dual-channel data down-sampling modules and pyramid pooling modules; and training the interferometric phase unwrapping model based on the InSAR synthetic data set, and optimizing model parameters by minimizing a loss function to obtain a final interferometric phase unwrapping model. According to the method, the interferometric phase unwrapping of the low-coherence region is realized under the condition of lightweight parameters, the phase continuity hypothesis is not depended on, and the interferometric measurement precision of the synthetic aperture radar is improved.

The invention relates to the technical field of radar remote sensing, and discloses a high-precision deformation monitoring and target imaging method based on MIMO-SAR. The method comprises the following steps: receiving an original MIMO-SAR echo data stream and a Beidou navigation system positioning data stream acquired by an image sensor; performing standardized preprocessing on the original echo data to generate standard radar data blocks; aligning radar data blocks and Beidou positioning data time and space, and establishing a mapping relation between data and a spatial position; performing sub-aperture division on the aligned data blocks to generate a multi-sub-aperture data set; performing beam forming processing on each sub-aperture data set to obtain a multi-view complex image; extracting an interference phase of a plurality of images and carrying out geometric correction by using Beidou data; unwrapping the corrected phase to obtain an absolute phase field; inverting a millimeter-level deformation sequence based on the absolute phase field; dynamically updating imaging focusing parameters according to the deformation sequence time evolution characteristics; and performing high-resolution imaging on subsequent data blocks by using the updated parameters, and outputting a deformation monitoring result and a target image.

The invention discloses an iron tower PS pixel point simulation and differential interference deformation monitoring method and system based on three-dimensional point cloud data, and the method comprises the steps: obtaining the point cloud data of an iron tower body structure under a radar coordinate system through a radar distance Doppler positioning method through the three-dimensional point cloud data of the iron tower body structure; identifying pixels containing the iron tower point cloud data in the SAR image as iron tower PS pixel points; constructing a radar scattering weight model based on elevation information of the iron tower point cloud data, and obtaining an iron tower PS pixel point scattering intensity value through weighted summation in combination with a weight adjustment parameter; constructing a complex value of the point cloud data of the iron tower according to the interferogram parameters and a radar scattering weight model, and obtaining a simulation interference elevation phase of the PS pixel point of the iron tower by using complex field summation; differential interferometric phases of iron tower PS pixel points in the interferogram are obtained through difference; and performing statistical analysis on the differential phase map of the iron tower PS pixel point set region in the time sequence interferogram to obtain a deformation result.

The invention relates to the technical field of geodetic surveying instruments and geological disaster monitoring, and discloses a geological environment displacement surveying system based on a GNSS multipath effect, and the system comprises a signal collection unit which is used for receiving a satellite signal and extracting a signal-to-noise ratio sequence; the interference feature separation unit is used for stripping a direct signal power component and generating a residual oscillation sequence; the geometric inversion calculation unit is used for generating a reference interferometric phase template in a height search domain, and generating a height-correlation map to lock the current vertical height by calculating and superposing correlation coefficients between the residual oscillation sequence and the reference interferometric phase template; according to the invention, through a spatial domain geometric matching mechanism, high-precision distance measurement is realized in a complex environment in which a satellite visual segmental arc is broken, dependence of a traditional spectral analysis method on observation duration is broken through, and signal-to-noise ratio data endogenesis is utilized to decouple observation station attitudes and environmental medium attributes. And the stability and the multi-dimensional perception capability are improved.

The invention discloses an adaptive multi-loop network InSAR phase unwrapping method and device, and relates to the technical field of interferometric synthetic aperture radar measurement. The method comprises the following steps: acquiring an interferometric phase diagram and a topographic map of a complex topographic region; calculating coherence, a topographic gradient map, a phase gradient standard deviation and residual density based on the interferometric phase map and the topographic map; based on the coherence, the terrain gradient map, the phase gradient standard deviation and the residual density, dynamically selecting the size of a ring through a decision function, and constructing a multi-ring network; determining the connectivity of the multi-ring network according to a bridging strategy and a connectivity detection method, and outputting a global connected network; on the basis of the global connected network, layered residual optimization is carried out by adopting a local absorption and global planning double-layer strategy, and an optimized residual is output; and based on the optimized residual error, unwrapping all rings in the global connected network through an in-ring local unwrapping and global optimization strategy, and outputting an unwrapping result. According to the invention, the problem of network connectivity in a complex area can be solved.

The application provides a complex terrain area elevation inversion method based on small unmanned aerial vehicle borne interferometric SAR. N-track small unmanned aerial vehicle flight tracks are set, the X-axis and Y-axis coordinates of the starting point and ending point of each track small unmanned aerial vehicle are unchanged, and the value of the Z-axis is gradually increased along the vertical direction. N-track echo data are obtained by the small unmanned aerial vehicle borne SAR according to the set tracks, and BP algorithm is used for imaging processing to obtain N SAR images. The offset of the SAR images of adjacent short baseline small unmanned aerial vehicles is obtained. The offset of the SAR images of long baseline small unmanned aerial vehicles is calculated based on the offset of the SAR images of small unmanned aerial vehicles, and the SAR images of long baseline are image matched. The SAR images after image matching are processed to obtain corresponding interference phase images, and the interference phase images are filtered by using Goldstein algorithm. Multi-baseline phase unwrapping is performed based on the interference phase of the interference phase images. The complex terrain area elevation inversion method of SAR is realized.

The embodiment of the application provides an interferometric phase denoising method and device, relates to data processing technology, and the interferometric phase denoising method comprises the following steps: performing multi-scale frequency decomposition on an original interferometric phase map based on a preset frequency domain filtering window to obtain hierarchical phase signals containing different frequency components; calculating residual components of adjacent levels according to the difference between principal component signals of adjacent levels to obtain residual domain signals corresponding to each level respectively; performing denoising processing on the residual domain signals by using a pre-trained denoising model to obtain denoised residual domain signals corresponding to each level respectively; and performing phase reconstruction on the denoised residual domain signals corresponding to each level respectively to obtain a target interferometric phase map.The application can effectively maintain the authenticity and integrity of the phase structure while suppressing noise, effectively reduce the generation of artifacts and improve the convergence stability, and ensure the reliability of phase unwrapping and subsequent deformation inversion.

The invention discloses a small-scale deformation InSAR time sequence inversion method and system based on multiple stable points, and the method comprises the following steps: S1, carrying out the small baseline interference processing of multi-temporal synthetic aperture radar data, and screening high-coherence pixel points, S2, recognizing a stable point candidate set with dense spatial distribution; s3, constructing an initial atmospheric delay phase model covering a full interferogram range; s4, obtaining an interferometric phase after atmospheric correction; and S5, inverting the deformation rate and the deformation time sequence parameters of the InSAR again. According to the method, dense stable points are screened based on a deformation rate threshold value, and a space atmosphere model is constructed, so that the problem that atmosphere delay and nonlinear deformation are difficult to separate in InSAR time sequence analysis is effectively solved, and high-signal-to-noise-ratio and high-precision time sequence monitoring of small-scale weak deformation of the earth surface is realized.

The application discloses a high-order overtone DOR measurement method, system, device and medium, relates to the technical field of information acquisition and processing, and comprises the following steps: performing local correlation processing on a carrier channel signal acquired through a satellite antenna to obtain interference phases in multiple first integral periods, and determining a first phase polynomial of a carrier model based on all the interference phases; determining a high-order overtone model based on the phase polynomial of the carrier model; correcting multiple high-order overtone signals acquired through the satellite antenna based on the high-order overtone model; determining a residual phase corresponding to each high-order overtone signal through the multiple corrected high-order overtone signals; and determining a DOR time delay observation corresponding to each high-order overtone signal through a multi-side tone DOR time delay calculation method based on the residual phase corresponding to each high-order overtone signal. The application can realize acquisition of a DOR measurement time delay observation, and has a wide application prospect in the field of deep space interferometric measurement.

The application discloses an InSAR atmospheric delay phase correction method along a slant range direction, comprising the following steps: S1, acquiring two SAR image subsets covering a research area and acquiring two clean water vapor data; S2, performing differential interference processing on the two SAR image subsets covering the research area to acquire differential interference phases; S3, accurately calculating atmospheric delay phases by using an atmospheric delay phase correction model; and S4, accurately obtaining real deformation of the ground along a radar line-of-sight direction. The application gives the latest weight value of the zenith path delay difference of each ground pixel on the slant range direction of the ground by correcting the sampling mode of the water vapor product along the ground distance direction, finally proposes an accurate and efficient slant range phase total delay calculation method along the ground distance, further optimizes and improves the repeat orbit synthetic aperture radar differential interferometry method, so that the measurement result is more scientific and reasonable, and therefore the application has a wide application prospect in the field of repeat orbit InSAR atmospheric phase correction.

The invention discloses a vibration drift removal and compensation method for atom interference measurement, which sequentially comprises the following steps of: carrying out atom interference continuous measurement, acquiring a voltage signal by an accelerometer, enabling the voltage signal to pass through a band-pass filter circuit, acquiring the voltage signal by a main control system, converting the voltage signal into an acceleration signal, and converting the acceleration signal into a vibration phase. The acceleration signal average value is converted into a vibration phase, vibration phase linear fitting, interference measurement period vibration phase drift removal and interference fringe fitting are carried out to obtain an interference phase, and the interference phase calculates a measured physical quantity; according to the method, data processing such as filtering, smoothing, linear fitting and deduction is carried out on signals collected by the accelerometer, suppression of time drift and temperature drift existing in relative acceleration measurement of the accelerometer is achieved, and measurement noise introduced by ground vibration is greatly reduced.

This invention discloses a self-supervised learning-based atmospheric phase compensation method for InSAR images, belonging to the field of differential interferometry (DI) technology for synthetic aperture radar. This method does not rely on external ground truth data. By establishing constraints for solving the atmospheric phase and integrating them into the network training process, it achieves self-supervised learning for atmospheric phase compensation. The method includes: constructing an atmospheric phase estimation network, which takes a time-series unwrapped phase image and related auxiliary data as input, and outputs the atmospheric phase estimation result or intermediate variables used to calculate the atmospheric phase; constructing differentiated constraint loss terms for reference points with different phase change modes based on the phase component composition of the interferometric phase; embedding physical prior constraints in both network structure and loss terms; combining various loss terms into a total loss function, and completing self-supervised training through iterative optimization to achieve atmospheric phase estimation and compensation.

This invention discloses a high-precision deformation and vibration measurement system for full-field structures based on microwave interferometric radar, comprising: an observation configuration module for acquiring radar observation parameters and completing signal transmission and reception; a signal processing module for preprocessing echo signals and constructing an interferometric phase matrix; a phase unwrapping module for generating a continuous phase sequence and calculating the displacement of reflection points; a spectrum extraction module for extracting the frequency components and vibration amplitude of each reflection point; a response clustering module for extracting clusters of reflection points with similar frequency responses and constructing a vibration distribution map; a modal recognition module for generating vibration mode feature vectors and marking discrepancy regions; and a trajectory generation module for generating a dynamic deformation trajectory map of the full-field structure. This invention achieves high-precision synchronous measurement of deformation and vibration modes of complex structures under full-field, non-contact conditions, effectively improving the accuracy, efficiency, and intelligence level of structural monitoring.

This invention provides a method and apparatus for highway slope monitoring based on multi-platform InSAR collaboration, belonging to the field of highway slope monitoring technology. The method includes: extracting surface deformation information under the rising and falling orbits from the time-series SAR satellite images of the target area corresponding to the highway to be monitored, performing phase calculation to obtain two-dimensional deformation information along the radar line of sight; calculating the two-dimensional deformation information within a determined visibility differentiation map to obtain the deformation characteristics of the target area in the vertical and slope directions, respectively, to identify road sections with potential slope hazards; obtaining an interferometric phase map based on UAV SAR images acquired from the road sections with potential slope hazards, inverting the deformation characteristics in the road sections with potential slope hazards, and using the inverted deformation time-series information to predict slope risk, thereby obtaining the slope monitoring results of the highway to be monitored. This invention addresses the limitations of single-platform InSAR in highway monitoring and the insufficient dimensionality of monitored highway deformation information.

The present application belongs to the technical field of interferometric phase map processing, and relates to a SAR interferometric phase denoising method and device based on BM3D. A two-dimensional thread grid at a pixel level is used to realize parallel implementation of similar block position index set screening, maximum likelihood estimation of pixels and decorrelation transformation. A two-dimensional thread grid at a block level is used to realize parallel implementation of biorthogonal wavelet transformation of image blocks. A three-dimensional thread grid is used for three-dimensional block group stacking, and a two-dimensional thread grid at a block level is used to realize parallel implementation of Hadamard transformation of the third dimension of the three-dimensional block group. A three-dimensional thread grid is used for hard threshold filtering of transformation coefficients in the three-dimensional block group. A two-dimensional thread grid at a block level is used to realize parallel implementation of inverse transformation of image blocks, a first layered two-dimensional thread grid is used to realize parallel implementation of weighted aggregation of spatial domain pixels, a two-dimensional thread grid at a pixel level is used to realize parallel implementation of inverse decorrelation transformation of spatial domain pixels, and a complex interferometric image after preliminary denoising is obtained, and then secondary filtering is performed to obtain a target complex interferometric image.

The invention belongs to the field of optical measurement, relates to a photoelastic modulation type high-precision quantitative phase demodulation device and a photoelastic modulation type high-precision quantitative phase demodulation method, and aims to realize stable and accurate interference type phase measurement. Comprising a light source, an interference light path system and a detection and signal demodulation system. A polarization light splitting unit in the interference light path system divides a detection light beam from a light source into a reference light beam and a measurement light beam with mutually orthogonal polarization directions, and respectively guides the reference light beam and the measurement light beam to a reference light path and a measurement light path; a photoelastic modulator is arranged in the reference light path, and a sample area for bearing a sample to be measured is arranged in the measuring light path; a beam combining unit in the interference light path system combines the emergent light beams to generate an interference light signal; the detection and signal demodulation system comprises a polarization analyzer, a photoelectric detector and a signal processing module; the signal processing module is electrically connected with the photoelectric detector and the photoelastic modulator; the signal processing module comprises a field programmable gate array.

The invention provides a spaceflight synthetic aperture radar image processing software load balancing method and system, and the method comprises the steps: dividing a plurality of sub-regions as initial tasks during the execution of parallel unwrapping processing, and distributing the initial tasks to work nodes; executing an iterative unwrapping algorithm in the working node, further determining a phase residual error of each pixel point, and extracting to obtain a plurality of residual error non-convergence areas; packaging each residual error non-convergence area into residual error sub-tasks, returning the residual error sub-tasks to the main node, and dynamically redistributing the tasks to idle nodes by the main node based on the load state of each working node; the working node performs iterative solution according to the received residual subtask, and submits a solution result back to the main node to update a global phase field; and repeatedly executing the step of determining the phase residual error and updating the global phase field until the interferometric phase diagram meets a judgment condition, and realizing convergence of all pixels. By adopting the scheme of the invention, real-time load migration based on residual dynamic evolution can be realized.

A synthetic aperture quantitative phase imaging method based on a hybrid of digital holography and Fourier ptychography. A programmable LED array which is annularly arranged is mounted on an off-axis digital holographic system for providing oblique illumination at varying angles; accurate noise-containing low-frequency information of an object is obtained by means of digital holography and is used as initial estimation; and then, high-frequency information of the object is reconstructed by means of a Fourier ptychographic algorithm based on intensity measurement, so as to realize synthetic aperture quantitative phase imaging. Using the accurate low frequency provided by holography as initial estimation ensures the accuracy of phase retrieval and wavefront aberration reconstruction, without strictly meeting matching illumination conditions, and reduces the number of intensity graphs required by Fourier ptychography; and a non-interferometric phase retrieval method based on Fourier ptychography improves the imaging resolution to an incoherent diffraction limit, and also effectively solves the problem of inherent speckle noise in digital holography.

The invention belongs to the technical field of bistatic synthetic aperture radars, and particularly relates to a time-coherence-based PS deformation estimation method of a navigation satellite bistatic I nSAR, and the method comprises the specific steps: carrying out the PS point interferometric phase modeling based on the deformation phase, the atmospheric phase, the DEM error phase, the space baseline phase and the noise phase of a PS point, and carrying out the matrix processing of an interferometric phase model; the method comprises the following steps: aiming at a navigation satellite double-foundation InSAR image, combining an optical image, selecting a plurality of PS points which are relatively large in amplitude and have the number exceeding a set number of days according to an amplitude deviation method, and performing synchronous difference on phases of the plurality of PS points to obtain an interference phase; setting a speed, an acceleration and a DEM as cyclic variables, and setting a termination condition for terminating cyclic iteration; and when the termination condition is not met, compensating the interferometric phase by using the currently obtained cyclic variable, estimating and compensating the atmospheric phase and the constant phase by using the interferometric phase, and estimating the deformation speed, the acceleration and the DEM error of each PS point by using the compensated phase.

The invention discloses a hydraulic engineering deformation monitoring method, and relates to the field of satellite remote sensing and geodetic survey. The method comprises the following steps: synchronously acquiring monitoring data of a preset satellite navigation system and a synthetic aperture radar satellite on a monitored water conservancy project; monitoring data of a preset satellite navigation system is utilized to realize self-adaptive atmospheric water vapor chromatography, and an atmospheric phase screen is calculated; subtracting the atmospheric phase screen from the interferometric phase data of the synthetic aperture radar satellite to realize phase correction of the synthetic aperture radar satellite on the monitoring data of the monitored water conservancy project; inverting high-frequency water level data by using a reflection signal of a preset satellite navigation system; calculating an elastic deformation component based on the high-frequency water level data; and subtracting the optimized elastic deformation component from the monitoring data of the synthetic aperture radar satellite to obtain a non-elastic deformation component. And performing preset processing on the inelastic deformation component to obtain a health state index of the water conservancy project. The method is suitable for non-linear health state evaluation of water conservancy facilities.

The application discloses a facility deformation analysis method based on PSInSAR and SqueeSAR, and relates to the field of time-series remote sensing image processing; specifically: first, for the to-be-measured region, SAR image is collected, and after cutting and registration, an interferogram is generated; then, the orbit state vector of the satellite is interpolated and fitted; the DEM data of the target S in the WGS84 coordinate system is projected into the SAR coordinate system to obtain a reference position and calculate the absolute value of the Doppler frequency of each pixel of the auxiliary image, so that the satellite position S i is the reference position P' of the target S in each SAR auxiliary image; the star-ground simulation phase is removed and a differential interference phase is generated; PSInSAR is performed, and PS point selection is completed through four iterations; on the basis of PSInSAR, SqueeSAR is performed, Newton iteration method is used for geographic coding of the target S, and the actual position is obtained; corresponding to the deformation rate, the complete ground deformation range and the time-series deformation graph of the corresponding monitoring point are obtained. The application effectively improves the monitoring and subsequent evaluation of facility deformation.

The invention discloses an InSAR troposphere delay correction method and system based on multi-source model adaptive fusion, and relates to the technical field of InSAR monitoring. The InSAR troposphere delay correction method comprises the following steps: acquiring SAR, DEM, meteorological reanalysis data and optical remote sensing water vapor data; preprocessing the SAR data to obtain a standard differential interferogram and a phase; constructing a phase-elevation empirical model based on a differential interferometric phase and a DEM, calculating an initial estimated value of troposphere delay corresponding to each model in combination with a weather model and optical remote sensing data, and performing magnitude optimization on the troposphere delay estimated by the weather model; and multi-source troposphere delay adaptive fusion is carried out through a window-pixel level weighting strategy, and troposphere delay correction is carried out on the differential interference phase according to the fused troposphere delay phase. The advantages of a multi-source troposphere delay correction technology can be integrated, the troposphere delay space change characteristics are adapted, and the correction accuracy and the deformation monitoring precision are effectively improved.

Embodiments of the present application disclose a kind of power transmission line three-dimensional deformation monitoring method and system, equipment and storage medium, method includes: using the preliminary elevation estimate of permanent scatterer point on power transmission line and in the plane coordinate of multi-temporal synthetic aperture radar image, construct the three-dimensional space network of permanent scatterer point;For each arc segment of three-dimensional space network, establish fine phase model, and calculate the coherence coefficient of the observation value of each arc segment differential interferometric phase and the fitting value of differential interferometric phase under different model parameter combinations, to generate the coherence coefficient solution space of each arc segment;Using the preset adaptive threshold detection method, according to the local background statistical characteristics of coherence coefficient in coherence coefficient solution space, dynamic decision threshold is determined to identify high-quality deformation arc segment;According to the model parameters corresponding to high-quality deformation arc segment, the three-dimensional deformation of power transmission line is determined.A kind of high-precision, strong robustness improved time series interferometric synthetic aperture radar deformation monitoring method is realized.

This invention discloses a differential interferometric phase-contrast imaging system, method, and time-difference incubator device, belonging to the fields of optical imaging and medical device technology. The system includes an illumination source module, a microscopic imaging module, a polarization interferometry module, and a quantitative phase image reconstruction module. By placing all polarization interferometry components, such as the polarizer and polarization beam splitter, on the image side of the microscopic imaging module, the imaging beam does not need to pass through the plastic culture dish before passing through the polarization elements, thus completely avoiding interference from plastic birefringence on the imaging and achieving high-quality observation of samples in cell biology or materials science fields within plastic culture dishes. Simultaneously, the system uses a polarization camera to simultaneously acquire multiple phase-shifted interferograms in a single exposure, combined with a quantitative phase reconstruction algorithm, achieving high-speed, high-precision quantitative phase imaging, overcoming the shortcomings of traditional mechanical phase-shifting methods, such as slow speed and susceptibility to motion artifacts. Furthermore, the imaging system of this invention can also be integrated into a time-difference incubator.

The method for improving SBAS-InSAR surface deformation inversion based on mixed regularization relates to the field of remote sensing image processing of synthetic aperture radar.The present application is to solve the problem of unstable inversion results of the existing terrain inversion method.The present application comprises: obtaining SAR images, and pre-processing the SAR images to obtain pre-processed SAR images; setting the threshold of time baseline and space baseline, obtaining the interference pair by using the pre-processed SAR images and the threshold of time baseline and space baseline, and generating the original interference graph; removing the interference phase in the original interference graph and performing phase unwrapping processing to obtain the real differential interference phase; constructing a design matrix, constructing the relationship between the phase change rate vector and the observation vector by using the design matrix and the real differential interference phase, and constructing the objective function by using the mixed regularization method and the relationship between the phase change rate vector and the observation vector, and solving the objective function to obtain the deformation rate, so as to complete the surface deformation inversion.The present application is used for surface deformation inversion.

The invention belongs to the technical field of data processing, and discloses an efficient ground-based synthetic aperture radar discontinuous deformation monitoring method and device, and the method comprises the steps: obtaining a radar image, carrying out the image registration of the radar image, and obtaining a registered radar image; extracting a plurality of coherent target points based on the registered radar image, and performing interferometric phase filtering on the plurality of coherent target points; constructing a complex exponential function and observation function model; according to the complex exponential function and the observation function model, space baseline parameters are estimated based on a phase gradient least square method, and a repositioning error parameter result is obtained; and processing the repositioning error parameter result according to the interferometric phase model to obtain deformation information. According to the invention, the repositioning error compensation precision and efficiency of the ground-based synthetic aperture radar can be greatly improved.

The embodiment of the invention provides a deformation measurement method and system based on SAR phase information of corner reflectors, computer equipment and a storage medium, and the method comprises the steps: obtaining SAR signals reflected by a plurality of corner reflectors through detection equipment, generating a multi-temporal SAR image, and extracting an initial interference phase of each corner reflector; compensating a residual flat ground phase and a residual elevation phase through the high-precision position and elevation data to obtain an initial deformation phase; a continuous phase is recovered by adopting a phase unwrapping algorithm, and the deformation quantity is inversed by combining radar wavelength. By accurately compensating the residual flat ground and the residual elevation phase, the phase modeling precision is remarkably improved; the continuous phase is recovered in combination with phase unwrapping processing so as to enhance the resistance of the model to abnormal values, and the measurement method needs less measurement data, is quick in response, can improve the precision of deformation measurement, and is also strong in anti-interference capability.

This invention relates to an interferometric phase demodulation method and system based on a high-reflection-order Fabry-Perot (FP) optical microphone. The system includes a broadband light source, a beam splitting module, an optical path guiding module, an FP optical microphone, an optical path compensation module, an optical intensity adjustment module, a 3x3 fiber coupler, a photoelectric detection module, and a signal demodulation module. This invention suppresses multi-beam interference within the microcavity through cavity length matching; simultaneously, it employs co-source beam splitting and utilizes the optical path compensation module to cancel the physical path difference between the sensing arm and the reference arm. Furthermore, it selectively matches high-order return light using the optical intensity adjustment module, followed by demodulation. This effectively suppresses reflection interference and achieves common-mode noise cancellation, significantly improving the sensitivity, anti-interference capability, and measurement dynamic range of the high-order FP sensor. It is suitable for high-precision monitoring of weak acoustic waves in complex and harsh environments such as transformer oil.

The invention discloses a building deformation detection method and device, electronic equipment and a storage medium, and the method comprises the steps: extracting a first vector frame of a target building in a geographic coordinate system, projecting the first vector frame from the geographic coordinate system to an SAR image coordinate system, and obtaining a second vector frame in the SAR image coordinate system; extracting an interferometric phase data subset of each pixel point in the second vector frame, and screening out a stable point candidate set from the interferometric phase data subsets; constructing a local coherence network based on the stable point candidate set, and selecting an optimal reference point from the local coherence network; and calculating a deformation time sequence of other reference points in the local coherence network relative to the optimal reference point, and determining a deformation detection result of the target building according to the deformation time sequence. According to the method, the optimal reference point is selected in the local network of each building, a local relative deformation detection network for the building is formed, and the method is more suitable for analyzing differential deformation such as differential settlement and torsion in the building.

The application provides a method and device for determining the deformation of an open-pit mine dump based on time-series InSAR technology, which aims to effectively fuse continuous multi-period observations, eliminate the interference of surface elevation on SAR interference phase, and improve the determination accuracy of the deformation of the open-pit mine dump. The method comprises the following steps: obtaining SAR satellite images and a digital surface model of a target area in a preset period; constructing a plurality of multi-master image differential interference queues based on the SAR satellite images; calculating differential interference phases based on the plurality of multi-master image differential interference queues and the corresponding digital surface model, and obtaining unwrapped phases after atmospheric filtering processing by combining a singular value decomposition method; and calculating the deformation of the target area based on a sequential adjustment method, wherein after constructing an error estimation matrix containing elevation errors and unwrapped phases, the sequential adjustment method is used to obtain a velocity matrix corresponding to the time-series phase by using the error estimation matrix, and the deformation of the target area is calculated based on the velocity matrix.