48 results about "Joint imaging" patented technology

The invention discloses a joint imaging method and device for DAS-VSP data and ground seismic data, and the method comprises the steps: collecting the ground seismic data, and collecting the DAS-VSP data; performing wave field separation on the DAS-VSP data of the left well and the right well to obtain first seismic wave field information; obtaining second seismic wave field information by adopting a Marchenko iterative algorithm and the ground seismic data; screening same seismic source data from the ground seismic data, the first seismic wave field information and the second seismic wave field information; and performing normalization adjustment on the same-source data to obtain same-source three-dimensional exploration seismic data, performing Kirchhoff prestack migration processing on the same-source three-dimensional exploration seismic data, outputting a migration result, and respectively processing the DAS-VSP data and the ground seismic data to obtain a detection point which is located in the ground surface and the wells on the two sides, and a detection point which is located in the ground surface and the wells on the two sides. Omnibearing three-dimensional exploration data on an underground virtual calibration surface is used for prestack depth migration, and exploration imaging precision is improved.

The present invention belongs to the technical field of image processing, and particularly relates to a large field-of-view situation stitching system and method based on multi-device joint imaging. It includes an image acquisition module that real-time acquires image data of the camera subsystems of multiple measurement stations; a communication module that conducts real-time communication with multiple measurement stations and real-time acquires data information of multiple measurement stations; an image processing module that real-time constructs a situation image based on the image data and data information of multiple measurement stations; an image display module that real-time displays the image data and situation image of each measurement station; an image output module that converts the situation image into SD-SDI format or HD-SDI format through an image output card, and segmentally outputs the converted situation image to the display system of the command and control center to achieve real-time monitoring of each target. The present invention can realize the joint imaging of observation data of multiple devices, thereby providing a comprehensive and real-time situation monitoring map.

The invention discloses an inverse synthetic aperture radar imaging and motion compensation method based on OFDM signals. Interference between distance units is effectively suppressed in a distance compression process by utilizing OFDM signals with enough long cyclic prefixes, and estimation errors are reduced. In order to solve the problem of over-resolution unit migration occurring under high-resolution or long-coherent processing, a vectorization observation model containing low-order and high-order phase error terms of target motion is constructed, and a target image and rotation parameters are jointly estimated through two layers of prior models under a sparse Bayesian framework. In order to enhance the calculation robustness of matrix inversion, joint optimization is carried out by adopting an alternating direction multiplier method, and target rotation parameters are accurately estimated by utilizing a maximum image contrast criterion, so that joint imaging and motion compensation are realized. A simulation result shows that the method has remarkable advantages in the aspects of reducing sidelobe interference, improving resolution and realizing real-time imaging, and is suitable for high-resolution inverse synthetic aperture radar imaging of a non-cooperative target.

The invention relates to the technical field of medical image processing, and discloses a temporomandibular joint three-dimensional reconstruction system based on joint imaging diagnosis. The system utilizes CBCT equipment to collect temporal-mandibular joint tomographic image data, and extracts facial feature sites and maxillofacial joint standard model approval sites through a multi-scale residual network. And carrying out space registration by adopting an affine transformation and nonlinear optimization algorithm to generate a synchronous correction parameter, further carrying out deformation interpolation on the standard model of the maxillofacial joint to construct a maxillofacial model, and adjusting the position of a condylar process. And based on the deformed maxillofacial model, generating an occlusal plate structure model by using an isogeometric analysis method, and iteratively optimizing the degree of fit through an edge calculation frame. The system can accurately reconstruct the three-dimensional model of the temporomandibular joint, optimizes the adaptation of the biteplate, provides powerful support for the diagnosis and treatment of temporomandibular joint diseases, and facilitates the improvement of the diagnosis and treatment level.

The invention discloses an elastic reverse time migration imaging method based on deviatoric stress characterization, and relates to the technical field of exploration geophysics. Deviatoric stress is introduced into a conventional elastic wave equation, and a speed-deviatoric stress elastic wave equation describing stress propagation characteristics is obtained through derivation; based on Hooke's law, P wave contribution in total partial strain is removed through partial strain decomposition, decoupling of P-S wave stress components is achieved, and correctness of amplitude, phase and physical unit of a decoupling wave field is guaranteed; and then a joint imaging condition with the average stress as a seismic source wave field and the multi-stress component as a receiving wave field is constructed, PP waves are subjected to normalization superposition through the average stress and the deviatoric stress, and PS waves are subjected to shear stress imaging. According to the method, the sensitivity to heterogeneity and local stress variation of underground media can be remarkably improved, P-S wave crosstalk and imaging noise are effectively eliminated, the imaging precision and resolution of a complex geologic structure are greatly improved, and a reliable technical means is provided for high-precision seismic exploration of complex oil and gas reservoirs.

The invention discloses a broadband feature coupling and sparse low-rank joint imaging method, product and equipment, and belongs to the technical field of electrical equipment monitoring. The method comprises the following steps: S1, establishing a pure acoustic propagation model of a partial discharge sound source, and fusing partial discharge pulse waveforms and sound wave propagation characteristics; s2, constructing a physically constrained over-complete sparse dictionary based on the time domain damped oscillation of the partial discharge signal and the physical fingerprints with concentrated frequency domain and high energy; s3, constructing a joint optimization objective function by combining the characteristics of sparse time domain and low space rank of the partial discharge signal, and iteratively solving a space-time signal matrix; s4, designing a lightweight deep network fused with physical prior, and considering both precision and real-time performance; and S5, realizing data acquisition and imaging real-time processing based on a GPU stream processing architecture in combination with dual-threshold detection and pre-calculation optimization. The broadband transient characteristic and the space-time sparsity of the partial discharge pulse can be embedded into the imaging model, and a traditional general acoustic imaging frame is replaced.

The application discloses a kind of fast magnetic resonance multi-sequence joint imaging method, system, equipment and medium, it is related to deep learning technical field, including the following steps: acquisition different sequence multiple undersampling MR images, wherein multiple undersampling MR images share the same public feature, each undersampling MR image enjoys respective corresponding specific feature;The mapping relationship between multiple undersampling MR images and latent variable is modeled based on latent variable model, and the optimization objective of reconstruction task in fast magnetic resonance multi-sequence joint imaging is constructed based on mapping relationship;Optimization objective is solved by depth development network.The features of multiple undersampling MR images are subdivided into intermodal shared public features and modality unique specific features, the fine decoupling of the shared and specific features of MR image, solve the problem that intermodal correlation modeling is weak, and redundant information can be effectively avoided or sequence-specific detail information is lost.

The application discloses a kind of imaging attenuation simulation method, system, medium and computer equipment of camera module, comprising: constructing simulation camera module;Obtain the first attenuation data corresponding to the optical lens in simulation camera module, and the second attenuation data corresponding to the image sensor in simulation camera module;Select several spatial frequency points from the imaging spatial frequency range of simulation camera module;Determine the sampling attenuation data of several spatial frequency points respectively;According to the sampling attenuation data of several spatial frequency points respectively, first attenuation data, second attenuation data, determine the joint imaging attenuation data of several spatial frequency points respectively;According to the joint imaging attenuation data of all spatial frequency points, construct imaging attenuation characteristic curve;Imaging attenuation characteristic curve is used to analyze the imaging performance of simulation camera module.

The application relates to a space target joint imaging and attitude inversion method based on a spaceborne platform, and relates to the field of inverse synthetic aperture radar imaging, in particular to a space target joint imaging and attitude inversion method based on a spaceborne platform. The application aims to solve the problems that in the existing space target imaging process of a spaceborne platform, three-dimensional high-order space-variable range migration and phase errors caused by complex relative motion between the target and the platform are difficult to realize high-precision imaging, and the existing attitude estimation algorithm needs to be completely compensated for the rectangular component segmentation and orbit error before the attitude inversion can be realized. The process is as follows: one, a narrowband tracking system of a radar obtains target slant range and a radar line-of-sight unit vector; two, a wedge-shaped transformed signal is obtained; three, spatial Doppler parameter distribution of a special point is obtained; four, an imaging result is obtained; and five, accurate estimation of target attitude parameters is completed through plane coefficient fitting.

The application relates to an ophthalmic multimodal imaging joint calibration device and a calibration method. The device comprises a variable diaphragm, an eye simulation lens, a water room and a calibration plate. The eye simulation lens is placed at the best working distance of the calibrated equipment. The variable diaphragm is placed in front of the front surface of the eye simulation lens, and the light aperture of the variable diaphragm can be adjusted at will. The calibration plate is placed at the back focal plane of the eye simulation lens, and a calibration pattern is drawn on the front surface of the calibration plate. The front surface of the calibration plate, the rear surface of the eye simulation lens and the water room form a closed space, and the inside can be injected with liquid. The application is mainly used for joint imaging calibration of fundus camera equipment and ophthalmic OCT equipment, and solves the problem of poor spatial matching of imaging data when two modal instruments are used for joint imaging.

The present invention discloses a method for joint imaging of multi-dimensional seismic background noise in underground space, comprising the following steps: collecting seismic background noise data and performing data preprocessing; performing layer stripping imaging to obtain a geological structure model and geological stratification data; combining the geological stratification results obtained from the layer stripping imaging with surface wave dispersion curve inversion to obtain an underground shear wave velocity field; using the dispersion curve inversion results as the initial input model and the geological structure obtained from the layer stripping imaging as the constraint term, constructing a full waveform inversion target universal function, calculating the shear wave velocity gradient, performing iterative updates, and outputting the final shear wave velocity field when the new velocity model meets the convergence conditions. Through multi-dimensional background noise imaging technology, in response to the increasing complexity of the geological surface environment, full coverage surveys of different spatial continuity areas such as mountainous areas, cities, and plains can be achieved, with more accurate results.

The present invention discloses a joint detection method based on seismic reflection and vehicle noise. The present invention obtains active and passive seismic records in a study area through measurement. Based on the seismic interferometry method, the passive seismic records are subjected to mutual interference processing, offset stacking, and normalization processing to obtain virtual source shot gather records. The causal and non-causal parts of the virtual source shot gather records are screened based on a two-way virtual source shot gather record signal-to-noise ratio screening method to obtain high-signal-to-noise ratio passive surface wave records in the study area. Dispersion analysis is performed on the active and passive surface wave records, and the high-frequency dispersion curve extracted from the active source record is integrated with the low-frequency dispersion curve extracted from the passive source to obtain a broadband dispersion curve. The present invention combines active and passive surface wave analysis, utilizing surface wave information in seismic reflection waves and traffic noise to effectively acquire shallow surface structural features, laying the foundation for joint imaging of shallow surface velocity structures in thick coverage areas.

The invention discloses precession target high-resolution imaging based on compressed sensing, and belongs to the technical field of radar imaging. The method comprises the following steps: firstly, obtaining an expression of a radar echo signal according to echo characteristics of a precession target; discretizing an imaging interval on a plane in the coordinate system into a two-dimensional grid to obtain echo signals of all grid points, and constructing a corresponding sparse matrix; parameters required in the construction process of the sparse matrix are solved according to the precession target motion model; and finally, a compressed sensing algorithm is introduced into imaging of the precession target, sparse reconstruction is realized by adopting an OMP algorithm, and a clear ISAR image is obtained. According to the method, on the basis of analyzing the echo characteristics and the spatial state of the precession target in the middle section of the trajectory, the spatial two-dimensional joint sparse base is constructed, the two-dimensional joint imaging of the precession target based on the CS is realized, and the compressed sensing two-dimensional joint imaging method of the precession target established based on the spatial state of the target adopts longer CPI imaging, has higher resolution, and can be used for realizing the two-dimensional joint imaging of the precession target. And the spatial distribution of the target scattering points can be clearly displayed.

The application discloses a knee joint imaging method and device, a server and a storage medium. The method is executed by the server, the server is wirelessly connected with an electrical impedance imaging device and a terminal device, and the method comprises the following steps: receiving electrical impedance imaging data collected by the electrical impedance imaging device on a knee joint region of a target object; performing image reconstruction on the electrical impedance imaging data collected by the electrical impedance imaging device on the knee joint region of the target object to obtain a knee joint effusion detection image; and sending the knee joint effusion detection image to the terminal device, and displaying the knee joint effusion detection image on the terminal device through a graphical user interface. According to the technical scheme, the electrical impedance imaging data collected by the server on the knee joint region of the target object is subjected to image reconstruction, cloud imaging is realized, compared with the existing local imaging scheme, the image reconstruction speed is improved, and a high-performance computer does not need to be installed locally, so that the knee joint effusion detection is more convenient.

The application discloses a kind of fast high-resolution imaging methods based on vortex electromagnetic wave, which constructs the two-dimensional imaging model of pitch angle and azimuth angle based on concentric circular ring array, realizes low-rank decomposition to the received echo and observation matrix by means of spherical harmonics function, introduces orthogonal matching pursuit algorithm to the scattering point in observation plane for target reconstruction, so as to realize the two-dimensional joint imaging of radar target pitch angle and azimuth angle.The imaging mode of joint OMP algorithm and spherical harmonic decomposition proposed in the application can realize higher imaging resolution compared with the traditional generalized inverse solution mode, while greatly reducing the operation amount of imaging process, effectively saving calculation time.

The invention discloses a knee joint imaging method and device, a server and a storage medium. The method is executed by a server, the server is in wireless communication connection with electrical impedance imaging equipment and terminal equipment, and the method comprises the following steps: receiving electrical impedance imaging data collected by the electrical impedance imaging equipment for a knee joint area of a target object; performing image reconstruction on the basis of electrical impedance imaging data acquired from the knee joint area of the target object through an electrical impedance imaging device to obtain a knee joint effusion detection image; the knee joint effusion detection image is sent to terminal equipment, and the terminal equipment displays the knee joint effusion detection image through a graphical user interface. According to the technical scheme, the electrical impedance imaging data collected by the knee joint area of the target object is subjected to image reconstruction through the server, cloud imaging is achieved, compared with an existing local imaging scheme, the image reconstruction speed is increased, a high-performance computer does not need to be installed locally, and knee joint effusion detection is more convenient.

The present invention discloses a sparse SAR joint imaging method, device and medium based on multi-band data. The method uses a sparse model combining the norm and the norm to constrain the multi-band data, and constructs a multi-band sparse SAR joint imaging model; solves the multi-band sparse SAR joint imaging model to obtain the optimal solution of the minimization problem of the model; designs a corresponding echo simulation operator according to the characteristics of the matched filtering operator to realize the iteration of the algorithm; and obtains the joint imaging result of the multi-band data of the scene through iteration. The present invention takes into account the characteristic that the scene support sets are consistent under different bands, grasps the sparse characteristics of the target, performs sparse constraint on the scene, reduces the sidelobes, effectively obtains the image of the target through algorithm iteration, and provides technical support for subsequent image processing.

The invention discloses a fast magnetic resonance multi-sequence joint imaging method, system and device and a medium, and relates to the technical field of deep learning, and the method comprises the following steps: collecting a plurality of under-sampling MR images of different sequences, the plurality of under-sampling MR images sharing the same common feature, and each under-sampling MR image enjoying the corresponding specific feature; modeling a mapping relation between the plurality of undersampled MR images and hidden variables based on a hidden variable model, and constructing an optimization target of a reconstruction task in fast magnetic resonance multi-sequence joint imaging based on the mapping relation; and solving the optimization target through the deep expansion network. According to the method, features of a plurality of undersampled MR images are subdivided into common features shared among modals and specific features unique to the modals, and the sharing of the MR images and the specific features are finely decoupled, so that the problem that correlation modeling among the modals is relatively weak is solved, and introduction of redundant information or loss of sequence specific detail information can be effectively avoided.

The application provides an OVT domain three-dimensional VSP multi-wave joint imaging method, comprising the following steps: determining an initial velocity model according to downgoing P-wave and downgoing S-wave first arrivals of a zero-offset shot gather; determining a shot point and an imaging point, dividing a plurality of azimuth sectors according to the azimuth of the shot point relative to the imaging point, and generating OVT common imaging point gathers of each azimuth sector; performing reverse moveout correction on the OVT common imaging point gathers until the OVT common imaging point gathers are horizontal, and generating a second P-wave root-mean-square velocity of a second P-wave-P-wave gather and a second S-wave root-mean-square velocity of a second P-wave-S-wave gather; eliminating the influence of anisotropy of the second P-wave-P-wave gather and the second P-wave-S-wave gather in each azimuth sector on travel time, determining a third P-wave root-mean-square velocity of a third P-wave-P-wave gather and a third S-wave root-mean-square velocity of a third P-wave-S-wave gather, and determining the matching relationship of the third P-wave-P-wave gather and the third P-wave-S-wave gather in the same time domain at the same depth, and jointly imaging.

The invention discloses a dynamic optical scanning holographic encryption system based on time-space joint imaging, which comprises a laser, a light beam emitted by the laser is divided into two light beams by a beam splitter, one transmission light beam irradiates an orbital angular momentum multiplexing hologram, and the other transmission light beam irradiates an orbital angular momentum multiplexing hologram. One beam of reflected light is transmitted to a beam combiner through a space-time coupling spring light generation module and an optical delay line module in sequence, and the other beam of reflected light is transmitted to the beam combiner through a plane mirror, an optical switch and an encryption key in sequence, so that the other beam of reflected light interferes with the time-delayed space-time coupling spring light to generate dynamic interference fringes, and the dynamic interference fringes are scanned through a Fourier transform lens and a scanner; the time-space coupling spring light generation module is used for generating time-space coupling spring light, and the optical delay line module is used for carrying out delay processing on the time-space coupling spring light and realizing accurate modulation time delay. The invention further discloses a dynamic optical scanning holographic encryption method based on time-space combined imaging.

The invention discloses a multi-modal combined ultrasonic imaging method and an ultrasonic imaging system, and the method comprises the steps: responding to a first modal imaging instruction, and entering a single-modal imaging mode of a first modal; under the single-mode imaging mode of the first mode, ultrasonic imaging of the first mode is carried out, and an ultrasonic image of the first mode is displayed on a first ultrasonic interface; displaying a multi-mode control on the first operation interface; in response to a first operation on the multi-modal control, entering a multi-modal joint imaging mode; in the multi-mode combined imaging mode, multi-mode combined ultrasonic imaging is carried out, and one or more ultrasonic images corresponding to multiple modes are displayed on the second ultrasonic interface. Due to the fact that multi-mode combined ultrasonic imaging is directly entered through the multi-mode control, different modes do not need to be combined in functions of different levels, the multi-mode combination efficiency is greatly improved, and better use experience is provided for a user.

The invention provides an OVT domain three-dimensional VSP multi-wave combined imaging method. The method comprises the steps that an initial speed model is determined according to downlink longitudinal wave and downlink transverse wave first arrival of a zero offset shot gather; determining a shot point and an imaging point, dividing a plurality of azimuth sectors according to the azimuth of the shot point relative to the imaging point, and generating an OVT common imaging point gather of each azimuth sector; performing reaction correction on the OVT common imaging point gather until the event of the OVT common imaging point gather is horizontal, and generating a second longitudinal wave root-mean-square velocity of a second longitudinal wave-longitudinal wave gather and a second transverse wave root-mean-square velocity of a second longitudinal wave-transverse wave gather; eliminating the influence of anisotropy of the second longitudinal wave-longitudinal wave gather and the second longitudinal wave-transverse wave gather in each azimuth sector on travel time, and determining a third longitudinal wave root-mean-square velocity of a third longitudinal wave-longitudinal wave gather and a third transverse wave root-mean-square velocity of the third longitudinal wave-transverse wave gather; and determining a matching relationship between the third longitudinal wave-longitudinal wave gather and the third longitudinal wave-transverse wave gather at the same depth in the same time domain, and performing combined imaging.

The invention provides an OVT domain VSP and ground seismic data depth joint imaging method and related equipment. Comprising the following steps: acquiring 3D VSP data and ground seismic data; performing pretreatment; carrying out OVT gather division processing; carrying out consistency correction processing on a reference surface and a well location sector; obtaining an isotropic depth domain interval velocity model after velocity updating according to earlier-stage pre-stack time migration; calculating initial migration of OVT domain joint prestack depth migration at an imaging point according to an isotropic depth domain interval velocity model; calculating the speed update quantity of each azimuth angle interval based on a residual curvature method; applying the average velocity model update quantity to the isotropic depth domain interval velocity model according to the azimuth, and performing iterative migration to obtain an OVT domain well-ground joint depth domain imaging gather after azimuth anisotropy correction; and obtaining an OVT domain well-ground joint imaging profile based on the OVT domain well-ground joint depth domain imaging gather after azimuth anisotropy correction. And the description precision of complex structures such as thin interbeds and small fault blocks is improved.

This invention discloses a waveform design method based on a joint imaging and radar sensing system, specifically including the following steps: constructing a joint imaging and radar sensing system model; using the sum of the directional power of the target radar beams to measure radar sensing performance and the channel condition number to measure imaging performance; constructing an overall optimization problem for the joint imaging and radar sensing system; transforming the objective function of the overall optimization problem and simplifying the diagonalization operation in the objective function; using the positive semidefinite relaxation method to solve the optimization problem to obtain the optimal beamforming vector; using the least squares method to recover the scattering coefficients of the received signal formed by the solved optimal waveform vector, and then performing imaging. The optimization method proposed in this invention can recover the image well and ensure that the radar sensing function is not affected.

The application relates to a method for jointly imaging a flying target based on a spaceborne platform, and relates to the field of ISAR imaging, in particular to a method for jointly imaging a flying target based on a spaceborne platform. The application aims to solve the problem of reduced ISAR imaging quality in the process of imaging a flying target based on a spaceborne platform. The process comprises the following steps: 1, dividing the observation time; 2, constructing a signal model for imaging a flying target based on a spaceborne platform after the planar motion compensation in the imaging time period; 3, obtaining the optimal solution estimation value of the equivalent rotation speed and the optimal solution estimation value of the equivalent rotation acceleration; 4, constructing a phase compensation function, obtaining a focused ISAR image and completing calibration; 5, repeating steps 3 and 4 to obtain focused and calibrated ISAR images under different imaging time periods; and 6, performing image registration on the focused and calibrated ISAR images, and performing wavelet transformation on the registered images to realize image fusion.

The invention relates to the technical field of seismic wave method detection, and provides an underground engineering geological disaster source seismic scattered wave high-resolution imaging method and system, and the method comprises the steps: obtaining a multi-component seismic signal of a target region, and building a speed model of the target region through wave velocity inversion; solving a Markov focusing function through iteration, and decomposing the multi-component seismic signal into a primary scattering wave field and a multiple scattering wave field; carrying out polarization analysis on the multi-component seismic signal, and extracting polarization characteristics; based on a velocity model, forward and reverse wave field continuation is carried out on the multi-component seismic signal, theoretical arrival time and propagation directions of different waveforms are calculated, and a propagation path is obtained; optimizing the primary scattering wave field and the multiple scattering wave field based on the polarization characteristics and the propagation path; and combined imaging of a primary scattering wave field and a multiple scattering wave field is carried out by solving a least square Markov imaging objective function. And the reliability and the interpretation accuracy of scattered wave imaging are improved.

The invention discloses a gravity and magnetic data combined imaging method based on downward continuation and Gramian constraint. Subdividing the underground grid space according to the spatial scale of the target area to obtain underground grid units of the target area, and calculating a magnetic inversion kernel matrix and a gravity inversion kernel matrix based on the underground grid units of the target area; presetting a downward continuation depth value, a magnetization intensity model, a residual density model and a maximum number of iterations; calculating a magnetic data prediction field and a gravity data prediction field, and then calculating a magnetic data residual error and a gravity data residual error of the observation field and the prediction field; converting into a physical property distribution update quantity of magnetization intensity and a physical property distribution update quantity of residual density; and introducing a gradient of a Gramian function formed by magnetization intensity and residual density, and updating a magnetization intensity model and a residual density model. And outputting the magnetic data and gravity data combined imaging model. According to the method, complementarity among different geophysical fields is utilized, multiplicity of solutions is reduced, and compared with joint inversion of potential field data, the operation speed is greatly increased.

The utility model relates to a novel medical instrument technical field especially relates to a kind of magnetic resonance joint imaging tractor, the utility model embodiment provides the magnetic resonance joint imaging tractor, including fixed subassembly and traction subassembly, fixed subassembly is used to fix the joint to be examined, traction subassembly includes support frame, guide mechanism, towrope and counterweight, support frame adjustable height;Guide mechanism is set on support frame;Towrope one end is connected with fixed subassembly, and around set in guide mechanism;Counterweight is connected in the other end of towrope, for providing traction force;Wherein, the component of each traction of the utility model embodiment provides the magnetic resonance joint imaging tractor of the utility model is made of non-magnetic material, the utility model embodiment provides the magnetic resonance joint imaging tractor, and the direction and size of traction force are conveniently controlled, and the effect of traction is improved.

The application discloses a pile bottom karst detection method and system and electronic equipment, and the method comprises the following steps: arranging measuring points at the pile bottom, lowering an array transducer to the pile bottom, and moving to each measuring point in sequence, when the array transducer reaches each measuring point, controlling the array transducer to collect full matrix data corresponding to the measuring point, and measuring the position of the transducer probe and recording the position of the array when collecting data; according to the position of the probe and the position of the array when collecting data, the coordinates of each array element in the array are calculated; imaging point division is performed in the imaging area, the imaging amplitudes of all transmitting / receiving pairs of signals at the imaging points are accumulated and summed, the imaging amplitudes of all imaging points are calculated, and a three-dimensional imaging model is obtained. The application calculates the coordinates of the array and the array elements of each measuring point by the measuring method, adopts the multi-point array data joint imaging mode, solves the problem of low transverse resolution of single-point phased array focusing imaging, and realizes three-dimensional high-precision imaging of the pile bottom karst.