20 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 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 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 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 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 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.

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 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 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.

Disclosed are an apparatus and method for the joint imaging of high-frequency mechanical stimulation conjugated with sarcomere contraction and sarcoplasmic reticulum calcium activity, and an application. The method for the joint imaging of high-frequency mechanical stimulation conjugated with sarcomere contraction and sarcoplasmic reticulum calcium activity comprises: providing muscle cells; performing calcium ion staining on the muscle cells; and applying, to the muscle cells, which have been subjected to calcium ion staining, mechanical stimulation conjugated with the sarcomere contraction length of the muscle cells and oriented perpendicular to a sarcomere direction, and using a high-speed spinning disk confocal microscope to perform observation.

This invention discloses a method, device, and medium for joint imaging of micro-motion multi-order SPAC coefficients and video dispersion curves under undulating terrain. The method includes: Step 1, dividing the undulating terrain into multiple local units, calculating the overall surface wave phase velocity, and then obtaining the SPAC coefficients to obtain the theoretical video dispersion curve; Step 2, obtaining the surface normal component from the three-component micro-motion data obtained from micro-motion observations, and extracting the SPAC coefficients and the optimal video dispersion curve under strong constraints of the SPAC coefficient zero point; Step 3, inputting the shear wave velocity of the strata, the elevation of the underlying stratum interface, and the elevation of the undulating terrain surface into a pre-trained LSTM network, and performing joint inversion based on the SPAC coefficients and video dispersion curves to obtain subsurface space imaging. This invention is applicable to undulating terrain conditions and can fully utilize multi-order surface wave dispersion information, exhibiting higher imaging accuracy and stability, thereby achieving high-resolution micro-motion imaging of subsurface space.

The application relates to a simulation device for automatic detection and tracking of a small space target, belonging to the technical field of space optical remote sensing, and comprising an imaging simulation source, two sets of three-axis high-frequency measuring turntables with three-axis freedom, a PXI integrated controller and a deployment management data display unit. In the process of executing the detection of the small space target, the imaging simulation source simulates the real-time changes of the brightness, volume and background of the small space target under the control of the PXI integrated controller, the camera collects image data, the star sensor calculates the attitude and orbit data, the PXI integrated controller accurately detects the position of the target and controls the angle of the turntable, the camera locks the dynamic small target, and a stable tracking state is maintained. Through the establishment of a loop test system, the semi-physical satellite joint imaging and identification system is tested on the simulated star background, and the actual performance of the test software and the communication system is tested.

The invention belongs to the field of exploration geophysics, and relates to an active and passive source combined reverse time migration metal mine converted wave imaging method and system, and the method comprises the steps: carrying out the time difference correction of active source seismic data and passive source seismic data of a same underground structure; respectively carrying out wave field separation on the active source seismic data and the passive source seismic data after time alignment, and reconstructing a P-wave field and an S-wave field of the active source and a P-wave field and an S-wave field of the passive source; performing active source wave field extrapolation and passive source wave field extrapolation based on a two-way wave equation; obtaining an active source PS converted wave imaging result and a passive source PS converted wave imaging result by using a cross-correlation imaging condition; carrying out weighted superposition fusion to obtain an active and passive source combined imaging result; according to the invention, the high resolution advantage of an active source and the deep detection capability of a passive source are combined, the limitation of single-source detection is replaced, and high-precision deep reverse time migration imaging is realized.

The embodiment of the invention discloses a well-ground combined mining seismic data combined imaging method, device and equipment and a medium. The method comprises the following steps: constructing a scattering model for a to-be-imaged block, and performing forward modeling on the scattering model to obtain a corresponding seismic record; the scattering model is a model used for simulating the geology of a to-be-imaged block; performing imaging processing on the seismic record to determine a sensitivity compensation function, and determining a target functional according to the sensitivity compensation function; processing the vertical seismic profile seismic data of the to-be-imaged block to obtain a first reflected wave, and processing the ground seismic data of the to-be-imaged block to obtain a second reflected wave; and performing joint imaging on the to-be-imaged block according to the sensitivity compensation function, the target functional, the first reflected wave and the second reflected wave. By adopting the technical scheme provided by the embodiment of the invention, the problems of non-uniformity of coverage times and non-uniformity of incident angles during combined imaging are solved, so that the imaging quality of a geological structure is improved.

The present application relates to the technical field of seismic wave detection, and provides a high-resolution imaging method and system for seismic scattered waves of geological disaster sources of underground engineering, which comprises: obtaining multi-component seismic signals of a target area, establishing a velocity model of the target area through wave velocity inversion; decomposing the multi-component seismic signals into a primary scattered wave field and a multiple scattered wave field by iteratively solving a Malchenko focusing function; performing polarization analysis on the multi-component seismic signals to extract polarization characteristics; based on the velocity model, performing forward and reverse wave field continuation on the multi-component seismic signals, calculating the theoretical arrival time and propagation direction of different waveforms to obtain a propagation path; based on the polarization characteristics and the propagation path, optimizing the primary scattered wave field and the multiple scattered wave field; and performing joint imaging of the primary scattered wave field and the multiple scattered wave field by solving a least squares Malchenko imaging target function. The reliability and interpretation accuracy of scattered wave imaging are improved.

This invention discloses a joint imaging method for frequency-domain controlled-source electromagnetic (CMY) and magnetotelluric (MT) data from the ocean. Its key feature is that, addressing the shortcomings of conventional electromagnetic data imaging methods such as insufficient imaging accuracy and low resolution, this invention first employs an unstructured dual-grid system to partition the model, using one set as a forward grid and the other as an inversion grid. Then, the Fast Occam Imaging Algorithm is used to achieve 3D inversion imaging of CMY and MT data separately. Finally, the CMY and MT data are added to the same inversion dataset, and a normalized joint fitting function is introduced to ensure that the inversion results can evenly fit different subsets of electromagnetic data, resulting in a new 3D joint imaging method for CMY and MT data. This invention overcomes the shortcomings of inversion using a single electromagnetic dataset, improves the accuracy and resolution of electromagnetic data inversion imaging, and provides users with a powerful tool.