720 results about "Interferometry" patented technology

Disclosed is a three-dimensional deformation field modeling method fusing global navigation satellite system (GNSS) / synthetic aperture radar interferometry (InSAR) observation data. The three-dimensional deformation field modeling method includes: five parts of solving an InSAR line-of-sight velocity field, unifying a spatial reference datum of the GNSS data and the InSAR data, verifying precision of a result of the InSAR data, solving a three-dimensional deformation field having high precision based on a least square method, and analyzing and verifying a result. According to the method, the InSAR data is processed according to a high-precision time series method, a long-wavelength error of the InSAR data is corrected on the basis of a difference of two data spatial reference datums, and the accuracy of the result is ensured through verification of internal coincidence precision.

The invention relates to the field of monitoring and early warning, in particular to a dynamic beam radar monitoring and linkage early warning method and system for a layered side slope of an expressway, and the method comprises the steps: carrying out the layered scanning of a layered geologic structure of the side slope, synchronously obtaining a phase coherent echo signal, carrying out the multi-threshold scattering point extraction, and carrying out the multi-threshold scattering point extraction; through analysis of a prior constraint model and a geological vegetation recognition network, interference signals caused by vehicle passing are eliminated to obtain a space-time coherent scattering point set, the space-time coherent scattering point set is input to a deformation calculation assembly line, differential interference measurement, adaptive atmospheric disturbance correction and slope structure parameter inversion are executed, and a displacement data stream is generated. And carrying out space-time correlation analysis on the layered inclination angle time sequence data and the meteorological and hydrological data, updating a slope stability evaluation index through a dynamic baseline, and generating an early warning instruction. According to the invention, a technical system from interference suppression and precise calculation to decision closed loop is formed, high reliability of road slope monitoring results is ensured, and intelligent support is provided for traffic safety and emergency management and control.

The invention relates to the technical field of building risk monitoring, in particular to a building safety risk classification method and device and a computer program product. According to the method, based on a permanent scatterer synthetic aperture radar interferometry technology, an SAR image of a monitoring area is calculated to generate InSAR deformation monitoring point cloud data; determining candidate PS points by unifying projection coordinate systems of building vector frame data and InSAR point cloud data and combining a vector frame buffer area and a measuring point height screening method; for the building of which the number of the candidate PS points reaches a preset threshold value, stripping seasonal fluctuation in the deformation data of the building, and extracting a nonlinear deformation trend; based on the nonlinear deformation trend, building a local coordinate system of the building and establishing a differential settlement model, calculating differential settlement indexes of the building in the X and Y directions, and generating a time sequence; by extracting indexes such as the maximum value of the time sequence, the average change rate and the over-limit time proportion, safety risk classification is carried out on the building, and the accuracy of building safety risk classification is improved.

The invention relates to a deep learning-based dominant-recessive landslide identification method. The method specifically comprises the steps of obtaining dominant landslide hidden danger identification data of a target area; sBAS-InSAR differential interference measurement is carried out, and an InSAR deformation rate diagram is formed; correcting, enhancing and fusing the high-resolution remote sensing image data; processing the dominant landslide hidden danger identification data; inputting the processed identification data into a convolutional neural network model to generate a convolutional feature map; making a sample of dominant landslide identification; the convolutional neural network model outputs an identification result to obtain a dominant landslide hidden danger identification result; correcting and checking a dominant landslide recognition result, and constructing a dominant landslide hidden danger database; and analyzing and processing the dominant landslide hidden danger database and the hidden landslide identification factors to obtain a Pearson correlation absolute value display result in which the characteristic factors are sequenced according to importance. According to the method, geological disasters and easily-occurring slopes can be identified to the maximum extent, and life and property losses caused by the geological disasters are reduced.

The invention relates to the technical field of synthetic aperture radar interferometry, in particular to an intelligent sea reclamation site deformation monitoring system and method based on InSAR, and the system comprises a data collection module which is used for collecting a multi-temporal satellite-borne SAR image of a sea reclamation area; the data processing module is used for executing sub-pixel matching, orbit error correction, atmospheric delay correction and residual optimization; the model construction module is used for constructing a segmented orbit error model, a tide-humidity coupling model and a dynamic regression model; the verification feedback module is used for verifying leveling precision and dynamically adjusting model parameters; according to the method, by fusing terrain mutability, tide-humidity coupling and soil rheological characteristics of a reclamation scene, accurate correction of multi-source error distribution of orbit errors, atmospheric delay and creep noise is realized, and the problem of insufficient adaptability of a traditional method in reclamation area deformation monitoring is solved; and millimeter-level reliable data support can be provided for cofferdam safety, hydraulic reclamation consolidation and port engineering.

The invention discloses an optical time stretching sweep frequency interference measurement Doppler effect compensation method and device, and relates to the technical field of non-cooperative target absolute distance measurement. In order to solve the defect that the absolute distance measurement precision is reduced due to the fact that the Doppler effect cannot be efficiently suppressed in a complex environment in the prior art, the technical scheme provided by the invention comprises the following steps: generating a sweep frequency laser signal and splitting the sweep frequency laser signal to form measurement light, reference light and resampling light; performing time stretching processing on the reference light to obtain a chirp signal; performing interference on measurement light and the chirp signal to obtain a measurement interference signal; performing interference on the reference light and the resampling light to obtain a reference interference signal; performing cross-correlation processing on the measurement interference signal and the reference interference signal, and extracting an optical path difference; and carrying out distance calculation by combining the resampling data, and outputting a target distance after the Doppler effect is compensated. The method is suitable for optical measurement work for performing high-precision absolute distance measurement on a non-cooperative target in a tiny vibration or disturbance environment.

The invention discloses a micro-displacement measurement method based on conjugate vortex light interference on a dielectric metasurface, and relates to the technical field of optical micro-displacement measurement, and the method comprises the following steps: designing the dielectric metasurface through a numerical simulation mode; constructing a precise displacement measurement system based on conjugate vortex light interference by adopting a medium metasurface; acquiring interference intensity distribution images before and after the object moves by adopting a precision displacement measurement system; extracting the light intensity change of the interference intensity distribution image through multiple regions, and inverting a whole-course rotation angle; and calculating the micro-displacement according to the whole-course rotation angle. According to the method, the dielectric metasurface is designed through numerical simulation, stable vortex light with different topological charges can be generated, the whole-course rotation angle is inverted by combining the light intensity change of the multi-region extraction interference intensity distribution image, and the working range, the environmental adaptability and the measurement precision of micro-displacement measurement are improved.

The invention discloses a radar distributed scatterer interference measurement method and device for a high and steep area. The method comprises the following steps: selecting a main image and a non-main image; calculating differential interference data; screening PS candidate pixels of which the amplitude deviation indexes are smaller than an amplitude deviation threshold value; high-coherence DS candidate pixels are screened out; constructing a distance-constrained Delaunay triangulation network for fusing the PS candidate pixels and the high-coherence DS candidate pixels; resolving a differential residual elevation, a differential deformation rate, a set coherence coefficient of a connected edge and a spatial differential residual phase; calculating residual terrain, linear deformation, deformation rate and residual phase after unwrapping; calculating an atmospheric orbit phase, nonlinear deformation and a noise phase; and obtaining time sequence deformation based on the linear deformation and the nonlinear deformation. According to the method, the number of monitoring points of the orbit descending InSAR deformation monitoring result is large, the coverage range of the monitoring result is widest, and MAE and RMSE are small.

The invention discloses a landslide identification and early warning system and method based on remote sensing satellite images, and belongs to the technical field of geological monitoring. The problem that the accuracy and reliability of data are easy to interfere due to the fact that the precision and stability of part of monitoring equipment need to be improved in the prior art is solved, the satellite image of the target mountain area is obtained through the remote sensing satellite, landslide feature extraction is conducted on the satellite image through the synthetic aperture radar interferometry technology, and the landslide feature extraction accuracy is improved. Identifying a potential landslide area in the target mountain area; a landslide risk assessment model is constructed in combination, the landslide risk assessment model is utilized to predict real-time mountain data, the degree of landslide risks existing in a potential landslide area is obtained, and a risk assessment report is generated and fed back to the man-machine interaction unit to give an early warning; through fusion of satellite remote sensing images and ground monitoring data, real-time monitoring and early warning of landslide are realized, accuracy and reliability of identification and early warning are improved, and loss caused by geological disasters is reduced.

The invention discloses a time stretching sweep frequency interference high-precision distance measurement method and device based on double auxiliary interferometers, and relates to the technical field of non-cooperative target absolute distance measurement. In order to solve the technical defects that in the prior art, due to initial wavelength fluctuation of a light source and frequency sweeping nonlinearity, drift of a ranging result is large, and interference signals are interfered by zero-frequency noise, the technical scheme provided by the invention comprises the following steps: acquiring linear frequency modulation optical signals output by a common-source frequency sweeping laser; the signals are respectively transmitted to a measurement interferometer, an auxiliary interferometer and a resampling auxiliary interferometer to form a homologous three-interference structure; a dispersive medium is introduced through the reference arm, so that the reference light generates time stretching and interferes with the measurement light to form a chirp beat frequency signal; k-domain resampling and cross-correlation processing are carried out on the beat frequency signals, and target distance information is extracted. The method is suitable for high-precision and wide-range non-cooperative target absolute distance measurement work, and is especially suitable for the fields of laser radar three-dimensional modeling, precision industrial detection, robot calibration and the like.

The invention relates to the field of cable fault detection, in particular to a distribution cable fault positioning method based on electric signal analysis, which comprises the following steps of: determining a cable analysis state of each abnormal response point according to an interval monitoring execution index; determining whether to perform initial interference analysis or execute evaluation analysis according to the cable analysis state of the abnormal response point location; when initial interference analysis is carried out, whether interference compensation processing and range optimization processing are carried out on each abnormal response point location or not is determined according to the reference feature matching index; determining whether to perform channel filtering or not according to the interference effect evaluation index, and determining whether to perform compensation acquisition processing on each cable monitoring interval or not according to the interference compensation coefficient; and when the execution evaluation analysis is carried out, determining whether to carry out redundancy distribution prompt for each abnormal response point location according to the execution redundancy parameters. According to the method, the cable fault positioning efficiency is guaranteed, and meanwhile, the requirement for monitoring point arrangement is lowered.

The invention relates to the technical field of geological engineering, and discloses a geological safety risk dynamic assessment method based on multi-source data fusion, which comprises the following specific steps: step 1, collecting and standardizing multi-source geological data; 2, performing semantic fusion and conflict resolution on the geologic features; 3, constructing a dynamic risk assessment model; 4, risk situation real-time updating and early warning are carried out; the satellite remote sensing system in the first step adopts the synthetic aperture radar interference measurement technology, the spatial resolution is better than 3 meters, the revisit period is shorter than 7 days, and the earth surface deformation monitoring precision reaches the millimeter level. Through standardized processing and semantic fusion of the multi-source geological data, the problem of heterogeneous data integration is effectively solved, the data basic quality of risk assessment is improved, a space-time coupling neural network model is adopted, nonlinear features and space-time correlation characteristics of geological risk evolution are accurately captured, and prediction precision and timeliness are improved.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) phase filtering method based on a plurality of interferograms, which comprises the following steps of: preprocessing acquired main and auxiliary SAR images to obtain the plurality of InSAR interferograms; dividing the plurality of InSAR interferograms into square interferogram patches along the azimuth direction and the distance direction; converting each interferogram patch from a spatial domain into a frequency domain signal, and constructing a corresponding frequency spectrum amplitude diagram; using a K-means clustering method to cluster and extract an initial low-pass filter in the spectrum amplitude diagram, and constructing a phase filter together with a Kaiser window function; the frequency domain signals of the interferogram plaques pass through a phase filter, the signal frequency band power is reserved, the noise at the high-frequency position is filtered out, meanwhile, the noise at the low-frequency position is filtered out through smoothing operation, and the filtered frequency domain signals are obtained; and the filtered frequency domain signals are converted to a spatial domain, filtered interferogram patches are obtained and spliced, and a filtered InSAR interferogram is obtained. The method is beneficial to popularization and promotion of the development of the current time sequence InSAR interferometry technology and the application in engineering.

The invention discloses a high-precision spectral interference signal demodulation method for micro distance measurement. The method comprises the steps of S1, interference spectrum shaping; measuring an interference spectrum and a reference spectrum; selecting a six-item combined cosine window as a primary function of an interference signal to obtain a shaped interference spectrum; s2, performing non-uniform Fourier transform to obtain a frequency spectrum of the target signal; s3, on the basis of a multi-spectral-line interpolation algorithm, interpolation is carried out on the window function to solve a fitting function, and a center frequency k is obtained; and S4, outputting a result. And solving and outputting an optical path difference d. According to the method, a six-item cosine combination window is selected as a primary function of an interference signal, and the problem that the accuracy of signal extraction is influenced by mutual superposition of side lobes and even main lobes of a direct current item and a solved frequency item is solved; an interference spectrum is processed by using a fast non-uniform Fourier transform algorithm, accuracy can still be kept under the conditions that the distance to be measured is increased and sampling is gradually sparse, and the problem of resampling deviation caused by a traditional interpolation method can be solved.

The invention provides a dam slope monitoring method and system based on radar interference and aerial survey data, and relates to the technical field of deformation measurement. The method comprises the following steps: acquiring radar interference measurement data of a target dam slope area, and carrying out multi-temporal registration and phase difference processing to obtain displacement time sequence data; determining displacement change data based on the displacement time sequence data, and determining a first risk area according to the displacement change data; controlling the flight platform to collect aerial survey data of the first risk area; performing feature extraction on the image data to obtain an image structure feature map, and performing terrain gridding modeling and curvature calculation on the point cloud data to obtain a terrain curvature distribution map; performing coordinate alignment on the image structure feature map and the terrain curvature distribution map to obtain a combined feature map; and determining a risk scoring value by using the risk scoring function, and determining a second risk area based on the risk scoring value. According to the scheme, the accuracy of dam slope anomaly recognition can be improved while the monitoring coverage is ensured.

Various optical systems for use in a light pulse atomic interferometer (LPAI)-based one-, two-, or three-axis accelerometer or gyroscope are disclosed. As an LPAI accelerometer or gyroscope may employ many different laser beams to implement the LPAI functionality, ways of combining these different laser beams to thereby simplify the optical systems are desired. The cooling laser beam portion of the optical system may be simplified using one or more reflective grating chips. The Raman laser beam optics may be simplified using combiners and separators. For LPAI systems sensing along three axes, various optical switching schemes may be employed, including ones that generate variable data-rates with a primary sensing axis having a higher data-rate than the secondary sensing axes. Further, by combining various laser beams in a time-multiplexed manner, the number of optical fiber tethers to a sensor head may be reduced.

The invention discloses a space-air-ground collaborative rock-soil landslide monitoring and early warning system, which relates to the technical field of disaster monitoring and early warning and comprises an air remote sensing monitoring module, a ground sensing module, a data communication module, a multi-source information fusion module and an intelligent early warning decision module. The aerial remote sensing monitoring module is used for collecting aerial image data based on the unmanned aerial vehicle; the ground sensing module is used for collecting ground sensing data; the multi-source information fusion module is used for fusing and aligning aerial image data, ground sensing data and geological model multi-dimensional information, extracting surface crack morphological characteristics by adopting a deep learning algorithm, analyzing a deformation time sequence generated by radar interferometry and identifying an abnormal motion mode; the intelligent early warning decision module is used for analyzing the landslide evolution stage and simulating the geologic body deformation process and conducting early warning decision, the problem of signal blind areas of a traditional monitoring system in extreme landforms can be effectively solved, and total factor analysis and advanced early warning of the disaster evolution process are achieved.

The invention provides a three-dimensional flow velocity field inversion method and system based on coherence-assisted SAR adaptive offset tracking, and a storage medium, so as to improve the problem of decoherence caused by time heterogeneity in a synthetic aperture radar interferometry (InSAR) technology, and relates to the technical field of electric power engineering geological disaster monitoring. The method comprises the following steps: establishing a space-time baseline network between SAR images; obtaining coherence data after geocoding; selecting a pair of SAR images from the space-time baseline network as a reference unit, calculating an offset result through a pixel offset tracking technology for the reference unit, and determining an optimal matching window parameter of the reference unit; establishing a mapping function between coherence and optimal matching window parameters; according to the established mapping function, calculating an optimal matching window parameter of each remaining SAR image pair; and in combination with the line-of-sight average deformation rate fields of the ascending and descending rails, inverting a surface three-dimensional flow velocity deformation field of the target area through a geometric vector decomposition model.

The present disclosure relates to determining whether one or more channel measurement resources (CMRs) and one or more interference measurement resources (IMRs) correspond to a single serving cell or a plurality of different serving cells; determining whether the one or more CMRs and the one or more IMRs correspond to a single physical cell identification (PCI) or a plurality of different PCIs; configuring the one or more IMRs with at least one of an additional PCI or an additional cell identification (ID); and transmitting the one or more CMRs and the one or more IMRs with the at least one of the additional PCI or the additional cell ID to a user equipment (UE) for measurements.

Snapshot phase-shifting diffraction modules and associated systems and methods are described that enable high spatial and temporal resolution phase imaging with high immunity to environmental factors such as vibrations and temperature changes. One example optical diffraction phase module includes a polarization grating to produce two circularly polarized light beams with opposite polarizations, a first lens to receive the two circularly polarized beams, and a spatial filter positioned at a focal plane of the first lens. The spatial filter includes two openings, one to spatially filter one of the two circularly polarized light beams, and another opening to allow another circularly polarized light beam to pass. The module also includes a second lens to focus the received light onto an image plane and to enable a phase measurement based a plurality of interferograms. The phase module can be incorporated into a microscope system that operates a reflection or a transmission mode.

The invention relates to the technical field of optical detection, and discloses an object surface three-dimensional topography measurement method based on optical interference, which comprises the following steps: acquiring a mixed time domain interference signal sequence in an axial scanning process; extracting seed pixels and constructing a spatial topology connectivity feature matrix; introducing fractional Fourier transform, and constructing a joint decoupling objective function containing a frequency domain nonlinear phase distortion evaluation index and a time domain physical invariant evaluation index; executing multi-stage optimization for the seed pixels, and locking a global optimal rotation angle; array self-adaptive decoupling is executed in combination with the spatial topology connectivity feature matrix, and an optimal rotation angle matrix is generated; and performing signal decoupling and reconstruction on the mixed signal, and extracting the absolute surface height of each pixel point to generate three-dimensional shape data. According to the invention, through multi-dimensional joint decoupling and spatial prior constraint, the problem of phase decoupling caused by film interference aliasing is solved, and the calculation overhead of a large-pixel array is reduced while the measurement precision is improved.

The invention discloses a mountainous area large-scale landslide InSAR deformation rate monitoring method and system, relates to the technical field of synthetic aperture radar interferometry, and aims to solve the problem that an existing landslide InSAR deformation rate calculation method is low in accuracy. The method comprises the following steps: generating a first interferometric phase diagram and a second interferometric phase diagram by adopting a hybrid baseline strategy; optimizing the first interferometric phase diagram by adopting a time sequence phase optimization algorithm to obtain a first target interferometric phase diagram; optimizing the second interferometric phase diagram by adopting a Gaussian filtering algorithm to obtain a second target interferometric phase diagram; combining the first target interferometric phase diagram and the second target interferometric phase diagram to obtain a mixed interferometric phase diagram; and performing phase unwrapping processing and time sequence analysis on the mixed interferometric phase diagram to obtain the surface deformation rate of the target mountainous area. According to the method for monitoring the deformation rate of the large-scale landslide in the mountainous area, the accuracy and the coverage range of monitoring the InSAR deformation rate of the landslide in the mountainous area are remarkably improved.

The present invention discloses a method for measuring water level by interference of low-orbit satellite navigation signals, and belongs to the field of low-orbit satellite remote sensing measurement and hydrological monitoring. The method first uses a high-gain antenna to receive direct signals and reflected signals emitted by low-orbit satellites, obtains SNR time series, and uses the isolation forest method to eliminate abnormal values ​​of the time series; then uses the L‑S spectrum analysis method to calculate the water level height of each satellite and each frequency point according to the interference fringe frequency of the direct signal and the reflected signal, and finally uses a multi-band, multi-satellite data fusion algorithm to improve the water level measurement accuracy. The present invention utilizes the advantages of low-orbit satellite navigation signals and the dense coverage of multiple satellites to solve the accuracy and spatiotemporal resolution problems of traditional GNSS‑IR in water surface height measurement, and extracts the water level height by performing time series analysis on the measurement data in a continuous time period, thereby providing real-time or quasi-real-time water level monitoring capabilities.

The invention relates to a multi-parameter estimation algorithm combining a disturbance quantification model and a rooting method in interference measurement. In order to solve the problems that in the prior art, the disturbance degree of a sequence is difficult to quantify, and harmonic key parameters are influenced by spectrum leakage, the invention provides the following innovative scheme: firstly, a sequence multi-classification measurement entropy quantification model is constructed, and quantitative evaluation of the signal noise degree is realized; secondly, through a Hankel matrix construction and rooting parameter estimation method, realizing accurate estimation of the harmonic frequency of the real-value signal; meanwhile, an amplitude correction algorithm based on window function characteristics is designed, and the signal sampling condition is effectively judged; and finally, through matrix weighting operation of a phase demodulation function, efficient reconstruction of an optical surface shape is realized, the problems of spectrum leakage and disturbance quantification in a traditional method are solved, and the method has relatively high measurement precision.

The invention relates to an aspheric wavefront detection device and method based on multi-direction orthogonal lateral shear interference. The device is composed of a laser, a linear polarizer, a light splitting element, a reflector array, a two-dimensional orthogonal grating array, a light splitting system, a polarization phase shifting element and a CMOS camera. The method comprises the following steps: firstly, an antisymmetric continuation method is included, secondly, dynamic phase recovery and distortion compensation are adopted, Zernike polynomial local fitting is introduced, and self-adaptive compensation is carried out on high-order aberration (such as coma aberration and trefoil aberration) of an aspheric surface edge region. According to the method, the multi-direction orthogonal lateral shearing interferogram can be obtained through single measurement, and a high-precision, high-efficiency and high-robustness solution is provided for precise detection of the aspheric optical element through cooperation of an algorithm and hardware. The method is suitable for high-precision phase recovery in the fields of optical detection, microscopic imaging and the like, and is suitable for high-precision dynamic detection of complex optical elements such as off-axis aspheric surfaces, free-form surfaces and the like.

Disclosed systems and techniques are directed to interferometry-based sample thickness metrology in manufacturing systems. For example, the disclosed techniques include directing a focused beam to a plurality of locations of a sample and detecting an interference pattern (IP) associated with a light departing from the respective location and generated upon interaction of the focused beam with the sample. The techniques further include determining, based on a first IP associated with a first light departing from a first location and a second IP associated with a second light departing from a second location, a magnitude and a sign of a difference between a first thickness of the sample at the first location and a second thickness of the sample at the second location.

According to the single-frame high-quality shearing speckle interference phase extraction method and device, the quality of the obtained phase is comparable to that of a traditional multi-frame phase solution algorithm, and single-frame high-quality phase extraction of shearing speckle interference is completed. The method comprises the following steps: (1) making a data set; (2) constructing a neural network; (3) neural network training; (4) detecting the detected piece: when the detected piece is static, carrying out N-step phase shift method shooting to obtain N frames of speckle interferograms when the detected piece is static; applying an external force to the measured piece, and recording light intensity information by using a camera to obtain a frame of interferogram when the measured piece is deformed; (5) single-frame phase extraction: phase extraction is carried out according to an N + 1 time phase shift method, and on the basis of N frames of phase shift interferograms when the measured piece is static, phase extraction is carried out by using one frame of interferograms after the measured piece is deformed, so that low-quality phase distribution is obtained; and (6) phase repairing.

A self-mixing interferometer configured to monitor particulate material within a monitored region of space comprising a laser cavity assembly (1A) and an optical assembly (1B) configured to bathe the monitored region with laser light of the interferometer. A laser monitoring unit (1C) is configured to acquire an interferometric signal generated by the interferometer in response to light returned to the laser cavity assembly from said wavefronts by said particulate material. A processing module (1D) is configured to determine a property of the particulate material within the monitored region according to a structure in data describing the interferometric signal in a frequency-space transformation thereof wherein at least a part of the interferometric signal comprises a waveform of changing frequency.

A plateau mountain area road slope geological disaster automatic identification method fusing multiple data comprises the following steps: S1, acquiring multi-source heterogeneous data of a target slope area, including a time sequence satellite optical image, synthetic aperture radar interferometry (InSAR) deformation data, laser radar (LiDAR) point cloud data, meteorological and hydrological data and basic geological data, and generating fusion data; s2, constructing a space-time registration module, unifying the multi-source data obtained in the S1, establishing a unified space-time coordinate system for the multi-source data, and generating fusion data; and S3, processing synthetic aperture radar interferometry (InSAR) deformation data through a freeze-thaw cycle noise compensation model, and eliminating deformation noise caused by seasonal frost heaving and thaw collapse. According to the plateau slope disaster identification method, the plateau freeze-thaw compensation model is combined with a multi-modal dynamic decision-making mechanism, and physical mechanism complementation of InSAR and LiDAR is adopted, so that'earth surface deformation-rock mass structure 'two-dimensional verification is realized, and multi-data fusion is realized, and therefore, the automatic identification precision of plateau slope disasters is improved.

The invention discloses a spectral interference system resolution improving method and system, and the method comprises the steps: building an ISE-Net end-to-end deep neural network model, enabling the convolution kernel size of an efficient channel attention module of the ISE-Net end-to-end deep neural network model to be adaptively determined according to the number of input channels, and constructing a mapping relation between narrowband and broadband interference signals; and generating an ideal narrowband signal and a double-bandwidth target signal according to a spectral interference physical formula, defining a loss function by minimizing deviation between model output and the target signal, updating parameters and dynamically adjusting a learning rate by using an AdamW optimizer until model loss is converged, and completing data generation and training. An input narrowband signal horizontal axis is converted to a corresponding frequency domain axis, and is subjected to time shifting and intensity scaling preprocessing to adapt to the model. A signal processing flow suitable for a single / multi-layer structure is constructed, a bandwidth expansion signal is obtained through decomposition, expansion and reconstruction, and the resolution of a spectrum interference system is improved. The method has the advantages of high calculation efficiency, high generalization and flexible deployment.