136 results about "Interferometric phase" patented technology

The invention discloses a full-field-domain structure high-precision deformation and vibration measurement system based on a microwave interference radar, and the system comprises an observation configuration module which is used for obtaining radar observation parameters and completing the signal transmission and reception; the signal processing module is used for preprocessing the echo signal and constructing an interference phase matrix; the phase unwrapping module is used for generating a continuous phase sequence and calculating the displacement of a reflection point; the frequency spectrum extraction module is used for extracting the frequency component and the vibration amplitude of each reflection point; the response clustering module is used for extracting reflection point clusters with similar frequency responses and constructing a vibration distribution diagram; the modal identification module is used for generating a vibration modal feature vector and marking a difference region; and the track generation module is used for generating a dynamic deformation track diagram of the full field domain structure. According to the invention, high-precision deformation and vibration mode synchronous measurement of a complex structure under full-field-domain and non-contact conditions is realized, and the precision, efficiency and intelligent level of structure monitoring are effectively improved.

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 discloses a construction period landslide disaster advanced prediction and rapid networking monitoring method, and the method comprises the steps: collecting synthetic aperture radar data, digital elevation model data and satellite precision orbit data of a monitoring region, carrying out the data preprocessing, and obtaining a single-view complex data image set; constructing an interference image pair connection graph, performing interference processing, and generating a differential interference graph and a coherence coefficient graph; performing interferometric phase unwrapping processing on the differential interferogram and the coherence coefficient graph according to a minimum cost flow algorithm to obtain earth surface deformation information; ground control points are selected, and the surface accumulated deformation quantity and the surface deformation rate are obtained; interpreting and delineating a potential deformation area, establishing an interpretation mark, selecting a typical deformation area, and extracting a time sequence deformation data set; and analyzing the time sequence deformation data set according to the neural network model to obtain a deformation prediction result and a disaster risk assessment result. According to the invention, the monitoring accuracy and prediction capability of landslide disasters can be improved.

The invention discloses a phase feedback all-optical non-magnetic temperature control device and method based on an FPGA, the device comprises an interferometer module, an FPGA system module and a temperature control module, and through the coordination work of the interferometer module, the FPGA system module and the temperature control module, magnetic noise can be reduced and high-precision stable temperature control can be completed on the basis that a traditional temperature sensor is not used. According to the method, a corresponding state-space equation is constructed by using a corresponding relation between an interferometric phase and temperature in an interferometer, a segmented Kalman filtering algorithm is executed through an FPGA, temperature information hidden in an interferometer signal is extracted, the temperature information is converted into a voltage signal, and a stable temperature control effect is achieved through interaction with a temperature control chip.

The invention discloses a phase unwrapping method for an SAR (Synthetic Aperture Radar) interferometric phase diagram. The phase unwrapping method comprises the following steps: acquiring prior information of the interferometric phase diagram; based on prior information, unwrapping the interferometric phase diagram to obtain an absolute phase; elevation information is extracted according to the absolute phase; according to the elevation information, the prior information is reversely optimized. The acquisition of the prior information is based on image segmentation of the interferometric phase diagram. According to the phase unwrapping method for the SAR interferometric phase diagram and the related product, all segmented areas are executed one by one, all reconstruction results are further geocoded and integrated, fine three-dimensional reconstruction of a building can be achieved, target extraction is conducted by fusing structural features in the two-dimensional imaging direction, and the construction efficiency is improved. And the accuracy of building identification is obviously improved. The structure auxiliary information of image segmentation effectively reduces the risk of phase discontinuity in the phase unwrapping process, significantly reduces the unwrapping error, and achieves the high-precision and low-cost three-dimensional reconstruction of a building under the condition of a double-track long baseline.

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 provides a forest vertical structure information inversion method and system based on radar interferometry, and the method comprises the steps: carrying out the small-view processing of high-resolution SAR interferometry data with a space baseline, calculating the small-view InSAR phase height, extracting the statistical distribution of the small-view interferometry phase height in a set space window, and carrying out the calculation of the small-view interferometry phase height. Generating a small-looks interferometric phase height histogram; establishing an under-forest ground elevation regression estimation model based on the statistical characteristics of the small-looks interferometric phase height histogram, and determining model parameters to invert the terrain; and two canopy top indexes are extracted, two index results are fused by setting a threshold value, and final forest vertical structure information is generated. The method has the advantages that more canopy internal and under-forest information can be captured only by using single-baseline and single-polarization radar interference data, and the sensitivity to a forest vertical structure is improved; and the forest vertical section, the tree height and the terrain can be synchronously inverted.

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 relates to a speckle interferometric phase diagram filtering method based on a conditional diffusion model, and belongs to the technical field of optical measurement. The method comprises the following steps: S1, obtaining training data: generating or collecting multiple groups of paired speckle interferometric phase diagrams including noisy speckle interferometric phase diagrams and corresponding denoising reference phase diagrams; s2, constructing a conditional diffusion model; S3, training the conditional diffusion model: training the diffusion model in a supervision mode; and S4, taking the to-be-processed phase diagram as a conditional image, and generating a denoised phase diagram through a back diffusion process. According to the invention, the noise processing accuracy of the phase diagram in laser speckle interference measurement can be 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 invention discloses a high-precision InSAR (Interferometric Synthetic Aperture Radar) deformation monitoring method combining polarization information and deep learning, and particularly relates to the crossing field of radar remote sensing and deep learning technologies. The method comprises the following steps: acquiring multi-temporal complete polarization or dual polarization SAR original data, generating single-view complex data through radiometric calibration, registration and multi-view processing, and extracting a polarization coherence matrix; constructing a sample set containing polarization features and interferometric phase labels; designing a double-branch deep learning network model composed of a polarization feature extraction branch and a phase optimization branch, and processing a polarization matrix and a phase sequence by adopting a three-dimensional convolution structure and a long and short term memory-convolution hybrid structure; the deep polarization features and the optimized phase information are fused through the trained model, and the deformation quantity is output through regression calculation; and finally, generating a deformation graph under a geodetic coordinate system through geocoding. The polarization scattering characteristic is effectively utilized, and the monitoring precision and reliability in a complex scene are improved.

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.

The present invention discloses a SAR image overlap detection method, apparatus, device, and storage medium. The method includes: obtaining SAR time-series image data, external DEM data, and external surface classification coverage data of a current detection area; obtaining a regional amplitude map of the current detection area based on the SAR time-series image data, and normalizing the regional amplitude map; obtaining a corresponding interferometric phase map based on the SAR time-series image data, and calculating a coherence coefficient; normalizing the external DEM data, and then band-splicing the normalized regional amplitude map, interferometric phase map, coherence coefficient, normalized external DEM data, and external surface classification coverage data to generate corresponding data blocks, and inputting the data blocks into a preset overlap recognition model to obtain an overlap recognition result for the current detection area. The present invention can improve the accuracy of SAR overlap recognition.

The application relates to an InSAR tropospheric delay correction method assisted by GNSS tropospheric zenith delay, which comprises the following steps: obtaining a tropospheric zenith delay product of a GNSS station, converting the product into a radar line-of-sight delay observation, constructing a joint correction model of tropospheric delay, representing the delay as a sum of an elevation-dependent vertical layering component, a distance-dependent turbulent signal component and a random error, adopting a least square configuration theory to jointly and iteratively determine a turbulent signal covariance function and a signal-to-noise variance component, solve a vertical layering model parameter and a turbulent estimation value at the station, estimate a tropospheric delay of each pixel of an interferogram in combination with the elevation and spatial correlation of an unmeasured point, and obtain a correction map. The application independently models based on external GNSS zenith delay products, does not depend on InSAR interference phases, can completely cover incoherent regions, avoids non-tropospheric error interference, and improves the precision and applicability of medium and long wave tropospheric delay correction.

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.

The application discloses a kind of visualization view generation method and system based on directional interferometer array data, which is based on the prior information of the amplitude and interference phase of each channel of directional interferometer array of different direction radiation source, obtains the probability distribution of each signal direction, combines the time-frequency two-dimensional distribution obtained by time-frequency analysis, to realize the time-frequency-space direction three-dimensional radiation source separation and situation display, on this basis, along time dimension and azimuth respectively to be synthesized to obtain frequency-azimuth two-dimensional situation chart and 2.5d fast time-frequency-direction situation chart, the distribution and dynamic change of multiple radiation source signals in time, frequency, space direction can be directly indicated from situation chart, also provide effective situation information for further automatic interpretation and discrimination processing.

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 application discloses a single polarization mode interferometric synthetic aperture radar tree height phase decoupling method and system, first, interferometric SAR data is acquired; then, a plane equation is used to construct a terrain height model, and a probability density function of the interferometric phase is constructed to be converted into tree height data and terrain height data; by constructing an estimation function, difference between adjacent pixels is carried out, constant term separation in the terrain height model is realized, and phase gradient information is acquired; adjacent pixel tree height gradients are obtained by searching the estimated tree height gradients; finally, a sparse matrix is constructed, adjacent tree height gradients are integrated to determine absolute tree height, real tree height is obtained by integration, and forest tree height is output. The method provided by the application introduces the phase gradient theory into the tree height inversion field, so that the method can not only break through the limitation of the number of polarization channels, but also does not need to use external reference DEM prior information, and realizes tree height phase decoupling and inversion based on single polarization InSAR data.

The embodiment of the invention provides an interferometric phase denoising method and device, and relates to the data processing technology, and the method comprises the steps: carrying out the multi-scale frequency decomposition of an original interferometric phase diagram based on a preset frequency domain filtering window, so as to obtain a hierarchical phase signal containing different frequency components; according to the difference between the principal component signals of the adjacent hierarchies, residual components of the adjacent hierarchies are calculated, and residual domain signals corresponding to all the hierarchies are obtained; de-noising processing is carried out on the residual domain signals by using a pre-trained de-noising model to obtain de-noised residual domain signals corresponding to each level; and performing phase reconstruction on the denoised residual domain signal corresponding to each level to obtain a target interferometric phase diagram. According to the invention, the authenticity and integrity of the phase structure can be effectively maintained while the noise is suppressed, the generation of artifacts is effectively reduced, the convergence stability is improved, and the reliability of phase unwrapping and subsequent deformation inversion is ensured.

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.