113 results about "Interference graph" patented technology

The invention discloses a coherent interference-based coaxial transceiving line scanning three-dimensional profile measurement system and method. The system comprises a low-coherence light source; the beam splitter is used for collimating light emitted by the low-coherence light source and then dividing the light into two paths; the measuring light is focused into a linear light beam through the cylindrical lens and is emitted to the surface of the to-be-measured sample, and the measuring light reflected by the surface of the to-be-measured sample returns to the beam splitter along the original path; the reference light is emitted to a reference mirror with a certain inclination angle and is reflected back to the beam splitter through the reference mirror; the measuring light reflected by the surface of the sample to be measured and the reference light reflected by the reference mirror are subjected to beam combination interference through a beam splitter and are imaged to enter a camera for interference pattern acquisition; the signal processing system is used for processing the interference patterns to obtain height distribution of the to-be-measured sample on a line field, and three-dimensional profile measurement of the to-be-measured sample is realized by transversely moving or transversely scanning the to-be-measured sample and overlapping the interference patterns measured at different positions. Therefore, high-efficiency measurement can be realized while the micro-nano precision is kept.

The invention provides a memory allocation method and device, electronic equipment, a storage medium and a chip. The method comprises the following steps: extracting tensor data of each tensor in a kernel program; constructing a control flow diagram according to the kernel program; allocating first address information in a static random access memory for each piece of tensor data; determining an active path of each tensor according to the control flow graph, the active path comprising a first node involving the tensor; an interferogram of the tensors is constructed according to the active path, each second node in the interferogram represents a different tensor, and edges between the second nodes represent an interference relation between the tensors; the first address information of each piece of tensor data is adjusted according to the interferogram, the second address information of each piece of tensor data is obtained, and in different steps of the kernel program, if no interference relation exists between the two tensors, the storage areas of the two pieces of tensor data are reused. According to the invention, the memory reuse rate can be improved.

The embodiment of the invention provides a light field space coherence length measurement method and system, and relates to the technical field of optical measurement. The method may first obtain a training set and train a measurement model using the training set. And obtaining an interference fringe image through numerical simulation generation or experimental acquisition, and inputting the interference fringe image as an input image into the measurement model so as to output a spatial coherence length prediction value of the input image through the measurement model. Wherein the measurement model is a convolutional neural network model for performing feature extraction by adopting a multi-layer cascaded convolutional pooling structure, and the features can be mapped into a spatial coherence length predicted value through a full connection layer. According to the method, one-step measurement from the original interference image to the coherence length can be realized, a tedious fringe contrast calculation process is avoided, the influence of experimental noise on measurement precision is reduced through depth feature extraction, the whole prediction process can be completed within millisecond-level time, and the measurement efficiency of the light source space coherence length is improved.

The invention discloses a laser shearing speckle interference phase unwrapping method based on deep learning. According to the method, eight speckle patterns before and after deformation are used as input, multi-scale feature extraction is carried out through layer-by-layer convolution and down-sampling of an encoder, features are sent to an attention fusion module, response weights of channels and spatial positions are adaptively adjusted through channel attention and position attention, then the response weights are input into a decoder, and jump connection with an encoding end is combined, so that multi-scale feature fusion is realized. And step-by-step reconstruction of multi-scale features is realized, and a phase diagram is output. Performing comprehensive constraint on prediction and reference phases in the aspects of numerical deviation, structural consistency and gradient smoothness and updating network parameters by adopting composite loss formed by mean square error, mean absolute error, structural similarity, gradient loss and out-of-plane displacement calculation items; therefore, an unwrapping result which is globally continuous and has clear and stable local details is obtained, and a feasible way is provided for intelligent processing and automatic analysis of the laser shearing speckle interference image.

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

The invention discloses an object tiny deformation measurement method and system based on interference fringe analysis, and belongs to the technical field of optical measurement. The method comprises the following steps: acquiring an interference fringe image and probe position and direction data; carrying out phase demodulation and sensitivity vector calculation on the surface of a measured object; obtaining the local phase number of each probe according to the interference image; calculating sensitivity vector data through a geometrical relationship; obtaining global phase and sensitivity data, obtaining initial full-field phase data through a weighted fusion method based on a geometrical relationship between a sensitivity vector and a deformation direction, calculating a consistency error, judging whether the consistency error exceeds a threshold value or not, if so, updating a deformation direction estimation value, and executing fusion processing again; and solving and obtaining three-dimensional deformation field data through a linear relation until the error meets the requirement or reaches the maximum number of iterations. According to the invention, the reliability and early warning capability of structural safety assessment in long-term monitoring can be improved.

The measurement of overlay using a microscope-based sensor is described. This provides, among several advantages, the ability to measure alignment and overlay in a single system. The signal from the sensor is an intensity-modulated fringe pattern (e.g., an interference pattern). The sensor is configured to generate an intensity-modulated fringe pattern based on diffracted radiation received from a first metronome mark on a first layer of the pattern substrate and a second metronome mark on a second layer of the pattern substrate. The intensity-modulated fringe pattern is filtered for the expected fringe period. The overlay value is determined using the amplitude, phase, and / or other parameters of the fringe in the filtered fringe pattern.

One embodiment provides a method comprising obtaining a Fourier transform of an interference pattern, obtaining a central band component from the Fourier transform of the interference pattern, obtaining a sideband component from the Fourier transform of the interference pattern, obtaining a central band inverse Fourier transform image by performing an inverse Fourier transform of the central band component, obtaining a sideband inverse Fourier transform image by performing an inverse Fourier transform of the sideband component, and determining a fringe height reduction factor, the fringe height reduction factor corresponding to an interference fringe height reduction due to motion blur in the interference pattern, based on a comparison between the sideband inverse Fourier transform image and the central band inverse Fourier transform image.

The present application relates to the field of optical interferometry, and aims at the phase distortion problem in off-axis interferometric quantitative phase imaging, and provides an interferometric microscopic phase distortion elimination method based on PACUNeXt3+ network. The method comprises the following steps: 1. using Zernike polynomials and test target pictures to simulate and generate a data set; 2. establishing and training a PACUNeXt3+ neural network model; 3. inputting the interference graph I or of the sample to be measured into the trained neural network, and outputting the background interference graph I' r corresponding to the sample without sample information; 4. using the two interference graphs I or and I' r to reconstruct the sample phase distribution φ o (x, y) without phase distortion. The present application has high precision and speed, can eliminate the secondary or high-order phase distortion in interferometric quantitative phase imaging, and has great application prospect in the field of phase imaging.

The utility model discloses a system for measuring the half-wave voltage of a phase modulator. The system comprises a laser generation module, an optical coupler, a first phase modulator, a second phase modulator, a first Faraday mirror, a second Faraday mirror, a signal generator, a photoelectric detector and an oscilloscope. The utility model discloses a system for measuring the half-wave voltage of a phase modulator, which is characterized in that a high-frequency periodic square wave electric signal is loaded to a second phase modulator through a signal generator, and the phase drift amount caused by unstable factors such as a light source, an optical device and an external environment can be regarded as perturbation in a small time period; the half-wave voltage of the second phase modulator is obtained by accurately calculating the variable quantity of the number of the peak (valley) values of the sine (cosine) waveform, so that the judgment on the light intensity extreme point of an interference pattern is avoided, the measurement precision is improved, and the key core application in the fields of quantum communication and quantum calculation is realized.

A system includes an illumination system, an optical system, a detector system, and a processor. The illumination system directs a first illumination beam and a second illumination beam toward the target structure, and directs a first reference beam toward the detector system. The optical system directs the first scattered beam and the second scattered beam from the target structure to the detector system. A detector system captures the interference pattern and outputs a measurement signal. The first scattered beam, the second scattered beam, and the first reference beam generate an interference pattern. The processor analyzes the measurement signal to determine a characteristic of the target structure.

The invention relates to an InSAR interferogram quality discrimination method based on deep learning, and the method comprises the steps: carrying out the preliminary decomposition of an InSAR interferogram through a multi-scale wavelet transform method, and carrying out the feature extraction, and obtaining a nonlinear feature vector; carrying out deep learning processing on the nonlinear feature vector by adopting a convolutional neural network to obtain interference weight distribution under multi-factor coupling; based on the interference weight distribution, obtaining superposition influence parameters of topographic relief and atmospheric interference, and determining a quantization level of deviation increase; and performing pattern recognition on the quantization level with the increased deviation through a support vector machine classifier to obtain a stable and corresponding quality judgment result. According to the method, the quality judgment accuracy, stability and robustness under the complex terrain and the atmospheric environment are remarkably improved, the reliability of geological disaster early warning is enhanced, and the method has important practical value.

The invention provides a double-state interference morphology measurement method and system for a discontinuous precision surface, and belongs to the technical field of optical precision measurement. Based on a Fizeau interferometer, interference images in a focusing state and an out-of-focus state are respectively acquired, two-dimensional structure information and height information of a sample with a discontinuous precise surface are respectively extracted, and two-state data fusion is carried out, so that three-dimensional morphology reconstruction is realized. The method breaks through the limitation of the optical diffraction limit on the resolution, avoids the failure problem of a traditional phase unwrapping algorithm at a discontinuous boundary, remarkably enhances the environmental interference resistance, improves the calculation efficiency, is suitable for high-precision surface measurement of a vacuum chuck and the like with a large number of discontinuous characteristics, and has a wide application prospect. And a reliable solution is provided for high-end manufacturing quality control.

A method and system for automatically generating a mortise and tenon block assembly step description animation. The method comprises: establishing an interference graph describing the geometric occlusion between parts for a three-dimensional mortise and tenon block model; identifying a node group with close internal connections in the graph as a mutual locking suspect cluster; after simulating and verifying that all parts in the cluster cannot be separated individually through virtual disassembly simulation, confirming the cluster as a synchronous mutual locking structure; then using collaborative inverse kinematics to solve, calculating a synchronous motion vector group that can make the structure as a whole collision-free separation; finally defining the synchronous mutual locking structure and the motion vector as a whole assembly unit, and generating a corresponding independent assembly animation step. The technical solution provided in the application improves the physical accuracy of the automatically generated assembly instruction animation.

Provided are a kinematic error calibration method, apparatus, storage medium, and program product wherein the method comprises: determining phase information for phase modulation of a first reflector and a second reflector, the phase information varying with time, the phase information being used for phase modulation of the first reflector and the second reflector; the absolute value of the difference value between the moving distance of the second equipment along the gradient direction of the interference pattern and the moving distance of the interference pattern in the space caused by the change of the phase information is less than half of the space period of the interference pattern, the interference pattern indicates the distribution of the amplitudes of interference signals generated by the first reflector and the second reflector in the space; first configuration information and second configuration information are sent based on the phase information, the first configuration information is used for configuring the phase corresponding to the first reflector, and the second configuration information is used for configuring the phase corresponding to the second reflector, so that the problem of fuzzy position of the second equipment is solved, and the accuracy of determining the position of the second equipment is improved.

The application discloses a kind of lens focal length fast measurement method and measurement system based on differential symmetry method, including obtaining the equivalence between multiple differential interference charts;Evaluate the correlation between focal length and multiple differential interference charts;Set focal length search range, calculate the evaluation function at each position in the range and determine the minimum value, the focal length corresponding to the minimum value is the focal length to be measured.The measurement method proposed in the application does not need to move the device repeatedly, eliminates the influence of initial position distance error, the range is not limited by the length of track, simplifies the measurement principle and analysis process, avoids the need for precise positioning of the measured lens to the horizontal distance of CCD in the experiment, and the symmetric interference chart acquisition solves the influence of experimental environment change on single experimental chart in the experiment, so that only the differential distance ΔL is controlled in the whole measurement process, and simple, efficient, high-precision and large-range measurement of the lens can be realized.

The application discloses a kind of underground coal mine mining process dynamic position intelligent inversion method, method includes: to the unwinding phase of interference figure of ununsolved is solved, after extracting the real part quantity, imaginary part quantity, mask, normalized X coordinate and normalized Y coordinate corresponding to interference figure are obtained, five-channel splicing is carried out again, and five-channel multidimensional feature tensor as the input data of model is formed;Depth learning model is constructed with Swin-Transformer as main feature extraction network, multilayer perception is as regression head, and hybrid loss function at least including basic loss and physical constraint loss is defined;Five-channel multidimensional feature tensor is used to train the model, and the model after training is obtained;Physical constraint loss is used to guide the model to converge in the solution space that meets physical consistency;Call the model after training, carry out inversion prediction to target mining area data, output the inversion parameter of coal mining;Efficiency and accuracy of dynamic position intelligent inversion in underground coal mining process are improved.

The disclosed systems and techniques relate to interferometric-based sample thickness metrology in manufacturing systems. For example, the disclosed techniques include directing a focused beam to a plurality of locations of a sample and detecting interference patterns (IPs) associated with light exiting the respective locations and generated after the focused beam interacts with the sample. The technique further includes determining a magnitude and sign of a difference between a first thickness of the sample at the first location and a second thickness of the sample at the second location based on a first IP associated with first light exiting the first location and a second IP associated with second light exiting the second location.

The invention discloses a method and system for expanding a non-fuzzy distance based on polarization multiplexing double optical combs, and the method comprises the following steps: the polarization multiplexing double optical combs generate two groups of pulse sequences with different repetition frequencies, one part of the pulse sequences serves as local oscillator light, and the other part of the pulse sequences serves as probe light to enter a distance measurement module; the detection light is divided into two parts, the two parts enter a reference light path and a target light path respectively and then are reflected by two reflectors respectively, then the two parts and the local oscillation light are subjected to frequency beating respectively, two groups of interferograms carrying reference position information and target position information respectively are obtained, and the time interval in the two groups of interferograms is measured and combined with the repetition frequency of a double-optical-comb pulse sequence, so that the target position information is obtained. And the distance to be measured, namely the length difference between the reference light path and the target light path, can be calculated. The problem that the non-fuzzy distance of a traditional double-optical-comb system is small is solved in a simple and reliable mode, and the measurable absolute distance is increased by multiple orders of magnitude.

The invention relates to a system (1) for digital holographic imaging, comprising at least the following components: - a beam splitter (2), - a retroreflector array (3) comprising a plurality of retroreflector elements (30), - a reference mirror (4), wherein the system (1) is configured to superimpose the object light (100) reflected off the reference mirror (4) and off the retroreflector array (3) such that a plurality of interference patterns that can be assigned to the respective retroreflector elements (30) are produced, wherein the system (1) has a phase-adapting optical structural component (5) for predefined phase adaptation of the object light (100), characterized in that the phase-adapting optical structural component has an assigned angle-of-incidence / phase relation (1000) for each of a predefined plurality of incidence directions (e) of the object light (100), wherein the phase-adapting optical structural component (5) is configured to impress phases (Φ) on the object light (100) in accordance with the assigned angle-of-incidence / phase relation (1000) for each of said plurality of incidence directions such that the interference patterns comprise information with which a hologram correspondingly reconstructed from said interference patterns has an improved resolution with respect to a system (1) without the predefined phase adaptation.

The application discloses a misalignment error correction model construction method, a misalignment error correction method and a system, relates to the technical field of optical element interference measurement, and has the technical scheme as follows: a sample fringe pattern without misalignment error is acquired; an optical path difference of different types of misalignment errors is applied to the sample fringe pattern, error quantity and error direction of the sample fringe pattern are adjusted, a plurality of sample interference patterns are obtained, and each sample interference pattern and corresponding error quantity, error direction and misalignment error type are one-to-one corresponding, so that a training data set is obtained; wherein, one sample interference pattern corresponds to one type of misalignment error; a neural network to be trained is trained by using the training data set, and when a loss function converges, a misalignment error correction model is obtained. The misalignment error correction model provided by the application improves the precision of misalignment error correction of a large-NA spherical optical element.

The invention discloses a wireless network automatic power adjustment method and device in a networking scene and a medium, and relates to the technical field of wireless networking. The method comprises the following steps: acquiring an MAC address and an RSSI value of a neighbor AP received by each AP node, and constructing an interference graph; screening strong interference edges of which the RSSI values are greater than a second threshold value in the interference graph, and then dividing the interference graph into a plurality of conflict sub-graphs; in each conflict sub-graph, extracting a plurality of nodes with minimum interference as representative nodes, and only performing power adjustment on the representative nodes; setting the representative nodes without neighbors or with all neighbors in an excluded state as 100% transmitting power; and for representative nodes with neighbors, evaluating power cost according to neighbor interference conditions, setting target power according to estimated interference intensity, and issuing a power adjustment value. According to the invention, the transmitting power of each AP is automatically adjusted according to the network state, the terminal distribution and the interference level, the rapid power adaptive convergence is realized, and both the coverage performance and the interference suppression are considered.

The invention relates to the technical field of intelligent inspection and state diagnosis of power equipment, in particular to an intelligent recognition system for an abnormal state of a transformer. The system comprises a data acquisition unit, an environmental parameter estimation unit, an optical decoupling unit, a state diagnosis unit, an interference quantification unit and a coupling diagnosis unit. The method comprises the following steps: capturing a high-dynamic pixel flow and estimating environment parameters by a system; the core of the method is that reverse optical transmission decoupling is adopted, and a pixel stream is physically decomposed into an equipment inherent reflectivity graph and an environment illumination and interference graph; the system carries out defect diagnosis on the reflectivity graph, meanwhile, the interference graph is quantified to evaluate the credibility, and finally an interpretable diagnosis report is generated through coupling; according to the method, the problem that a traditional model cannot distinguish the equipment state from environment interference is solved, and the diagnosis robustness is improved.

The invention provides a coherence maximization algorithm to improve the reliability of coherence estimation of a mining area, aiming at the problems of low manual interpretation efficiency of a settlement funnel area and influence of high phase gradient on subsequent data processing in a large-gradient deformation area of the mining area in an InSAR (Interferometric Synthetic Aperture Radar) technology. According to the method, a slice-assisted hyper-inference framework is introduced into a YOLOv11 network to extract mining area funnels, a two-dimensional Gaussian mixture model and a hybrid simulated annealing genetic algorithm are used for independently modeling each detected settlement funnel from a wound interference phase, and the simulated funnels are used for removing fringes, so that underestimation of coherence caused by fringes is eliminated. After the coherence maximization algorithm is applied, the unwrapping error is obviously reduced, and the average RMSE of 208 interference blocks is reduced from 3.90 to 2.64. The positive influence of phase unwrapping proves the value of the method.

The application discloses a three-dimensional topography determination method and system, electronic equipment and medium, and relates to the technical field of white light interference three-dimensional topography measurement. The method comprises the following steps: inputting the interference signal sequence of each pixel point in the interference graph of the to-be-measured sample into a trained convolutional neural network to determine the category of the interference signal sequence of each pixel point in the interference graph of the to-be-measured sample; processing the interference signal sequence of each pixel point in the interference graph by using a coherent peak value detection algorithm to obtain the height of each pixel point; correcting the height of the pixel point corresponding to the interference signal sequence of the category affected by the bat wing effect according to the height of each pixel point by using a cross method to obtain the corrected height of each pixel point; and determining the three-dimensional topography of the to-be-measured sample according to the corrected height of each pixel point. According to the application, the position where the bat wing effect occurs can be determined in advance without prior knowledge of the to-be-measured surface before the topography is restored, so that the influence of the bat wing effect can be accurately eliminated, and the accuracy of three-dimensional topography detection is improved.

The invention belongs to the technical field of geological disaster recognition, and discloses a rapid landslide recognition method and device based on multi-source remote sensing data, and the method comprises the steps: obtaining data; marking the landslide by utilizing expert experience based on the high-resolution optical remote sensing image data to form an initial landslide sample set; judging and extracting the landslide through the trained model to form a first landslide data set H1; differential interference is carried out through synthetic aperture radar data; generating an interferogram; phase unwrapping is carried out, the earth surface deformation quantity is calculated through the phase difference, and the landslide range is determined through a deformation threshold value method; calculating an average slope in a single landslide range in the landslide data to obtain a second landslide data set H2; and combining the landslide data sets, and carrying out topology error check and modification to form a final landslide data set. The method is simple and easy to implement, good in robustness and high in reliability, and has popularization value in geological disaster investigation and engineering site selection application.

This invention discloses a method and apparatus for obtaining the original aperture and shearing amount of an interference system with arbitrary aperture. The method includes: acquiring multiple frames of phase-shifted interferograms in the x and y directions of a transverse shearing interferometer system, and fusing them to obtain a spatial modulation quality map; using the gray values ​​of each pixel in the spatial modulation quality map as features, and employing a K-means clustering algorithm to label each pixel as an interference region, a non-interference region, and a background region; based on the known shearing direction, spatially reorganizing the interference region and the non-interference region to generate an original aperture mask and a sheared aperture mask; calculating the centroid coordinates of the mask, and determining the shearing amount based on the distance between the two centroids. This invention requires no prior knowledge of the aperture shape, is fully automated, and is applicable to arbitrary apertures such as rectangles, ellipses, and rings. It also maintains high robustness and accuracy in interferograms with dense fringes, blurred edges, or noise.

The application provides a low-altitude weak target detection method and device based on a synthetic wavelength, which can be applied to the field of target detection. The method comprises: imaging echo data of a to-be-detected region without any to-be-detected target to obtain a first image; imaging echo data of a to-be-detected region with a to-be-detected target to obtain a second image; performing an interference operation on the first image and the second image to obtain a phase interference graph spectrum; cropping the phase interference graph spectrum to obtain a first wavelength phase interference graph and a second wavelength phase interference graph; generating a differential synthetic wavelength interference graph and an additive synthetic wavelength interference graph according to the first wavelength phase interference graph and the second wavelength phase interference graph; and unwrapping the additive synthetic wavelength interference graph by using the differential synthetic wavelength interference graph, and detecting the to-be-detected target based on the unwrapped additive synthetic wavelength interference graph. In this way, the target and clutter in the low-altitude environment are effectively identified, and the detection accuracy is improved.

A method for encrypting data leveraging holographic technology. The method may include generating holographic interference patterns to produce encryption keys. The holographic patterns may be based on environmental conditions. The environmental conditions may be continuously monitored to generate the holographic interference patterns in real-time. The holographic interference patterns may be generated based on the environmental conditions and laser lights. The holographic interference patterns may be integrated into a computer infrastructure. The holographic interference may continuously adapt based on changes within an environment.

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