102 results about "Amplitude correction" patented technology

The invention discloses a road video event rapid detection method based on edge calculation, particularly relates to the field of computer vision and image processing, and is used for solving the problem of motion evidence distortion caused by frame-level sequential disorder and content gaps in a road monitoring video. The method comprises the following steps of: reading a video clip, constructing a time sequence correction graph according to inter-frame content similarity and boundary continuity, rearranging to generate a corrected sequence, outputting a frame consistency index, estimating a stable motion field and a continuity score on the corrected sequence, and writing back an image stabilization amplitude correction time anchor point; generating an event evidence sequence according to the stable motion field, combining track breakpoints according to a time sequence correction graph, initiating backtracking revision to return candidate event segments, and if consistency verification is executed on candidate events, performing cross-level revision on the time sequence correction graph and image stabilization amplitude to trigger the stable motion field to re-estimate and output a confirmation event; and issuing a trigger result and establishing a mapping index as a new fragment to initialize priori acceleration time sequence correction and judgment convergence.

The invention provides a method and system for improving the flutter derivative recognition precision of a large-span bridge, and relates to the technical field of road and bridge safety, and the method comprises the steps: obtaining basic data and section geometric parameters of a target bridge; according to the geometric parameters of the section, constructing a model by combining the bluff body streaming characteristics of the section of the bridge to obtain a virtual model; performing forced vibration simulation on the virtual model based on preset working condition parameters to obtain a simulated self-excitation force amplitude; obtaining a virtual model based on the simulated self-excitation force amplitude and the actually measured self-excitation force amplitude, and outputting a simulated phase difference; based on the simulation phase difference and the actually measured phase difference, phase compensation is carried out on the virtual model after force amplitude correction, and individual digital twin bodies are constructed and obtained; and performing global digital twinborn construction according to the individual digital twinborn to obtain a flutter derivative global prediction model. According to the method, the global prediction model is established, the flutter derivative recognition precision is remarkably improved, and an analysis tool considering reliability and high efficiency is provided for bridge wind resistance design.

The invention relates to the technical field of wireless communication, and discloses a compensation method for electronic radio frequency communication. According to the compensation method for the electronic radio frequency communication, the radio frequency signal and the channel state information are acquired, the original data set is generated, and the preprocessing steps of denoising, signal amplitude correction, phase correction and the like are performed, so that the data quality is improved, accurate parameter evaluation is performed by adopting the minimum mean square error, the accuracy of channel characteristic parameters is ensured, and the communication quality is improved. A mathematical model constructed based on the parameters enables calculation of compensation parameter gain and phase deviation to be more accurate, so that attenuation and distortion caused by signal propagation in a channel are effectively compensated, and finally, quality evaluation is carried out on the bit error rate and the signal-to-noise ratio of the compensated signal, so that the compensation effectiveness is ensured, and the signal quality is improved. And if the compensation is invalid, the calculation can be returned in real time for recalculation, so that the quality of the whole signal is improved.

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

The invention discloses a wind turbine generator impeller anomaly detection method and system based on sound vibration signal identification. According to the method, firstly, impeller response is collected through a microphone / vibration sensor, and a Mel spectrogram is generated; then, a Teager-Kaiser energy operator and self-correlation analysis are utilized, and under the condition of not depending on a rotating speed signal, the rotating period of the impeller is recognized, and frequency spectrum segmentation is carried out; calculating a cross-period Mel frequency spectrum dynamic deviation, and normalizing the cross-period Mel frequency spectrum dynamic deviation through an amplitude correction coefficient related to the rotating speed; generating a periodic coherent energy diagram by adopting an improved structural similarity algorithm; performing filtering enhancement by using a harmonic resonance template, performing morphological deconstruction and parameterization on an abnormal region in the graph, and extracting geometric features; and finally, calculating a comprehensive abnormal score based on the multi-dimensional features and realizing automatic early warning. According to the method, the problems of variable working condition interference and rotating speed dependence are effectively solved, and accurate and stable detection of early abnormality of the impeller can be realized.

The invention provides a user behavior intention recognition method and device based on multi-modal data fusion, and relates to the technical field of data processing.The method comprises the steps that a multi-modal observation sequence is obtained, initial features are formed through time synchronization and mutual information screening, a cross-space initial offset vector is generated in combination with virtual space offset parameters, and the cross-space initial offset vector is obtained; establishing an association relationship between a real action and a virtual action through nonlinear mapping to obtain a cross-space registration feature; generating a correction coefficient according to the proportion of the real action amplitude and the virtual action amplitude, and performing amplitude correction to obtain a cross-space correction feature sequence; compensating rendering delay and synchronous drift by using weighted fusion of the current feature and the lag feature to obtain a time sequence correction feature; outputting cross-space fusion features through a unified embedding space and a cross-modal attention mechanism; and non-linear intention mapping is constructed based on the fusion features, and a user behavior intention result is inferred and output in combination with time smoothing. According to the invention, the accuracy of user behavior intention analysis in a virtual field scene can be improved.

The invention belongs to the field of electric energy meters, particularly relates to an automatic compensation calibration method for electric energy metering errors of an electric energy meter, and aims to solve the technical problems that a CORDIC algorithm is difficult to give consideration to efficiency and precision and an existing compensation method is difficult to correct multi-dimensional nonlinear errors under wide temperature and wide flow. Outputting an uncorrected x-axis component and a final accumulated phase angle, wherein the improved CORDIC iterative operation comprises M times of coarse rotation iteration and P times of fine rotation iteration; s2, performing amplitude correction on the uncorrected x-axis component to obtain a corrected instantaneous current amplitude; and S3, performing reconstruction by using the corrected instantaneous current amplitude and the final accumulated phase angle to obtain a corrected instantaneous current value, multiplying the corrected instantaneous current value by the instantaneous voltage value to obtain instantaneous active power, and performing accumulated integration on the instantaneous active power to obtain a compensated and calibrated electric energy value. According to the invention, high-precision metering performance of the electric energy meter in a wide current range and a wide temperature change range can be ensured.

The invention provides a multi-modal fusion radar tide level intelligent adaptive filtering method, which belongs to the technical field of radar tide, and comprises the following steps: through dual-polarization radar signal acquisition, performing three-layer wavelet decomposition on vertical and horizontal polarization digital intermediate frequency signals, and marking clutter coefficients based on variance and skewness threshold values; performing adaptive soft threshold processing, evaluating residual clutter confidence coefficient by using a convolutional neural network, dynamically adjusting suppression intensity, calculating a polarization phase difference sequence, inputting the polarization phase difference sequence into a long-short-term memory network to identify a false target distance unit, and calculating multipath path parameters by combining ray tracing of a digital elevation model to perform phase compensation and amplitude correction; finally, an accurate tide level height value is obtained by detecting a real tide level distance Doppler spectrum peak value, and the technical problem that the measurement precision is reduced due to the fact that radar tide level measurement cannot effectively distinguish clutter interference and multipath false targets in a complex marine environment is solved.

The application discloses a multi-octave wideband frequency conversion assembly, which comprises a frequency conversion circuit, an amplitude control circuit and a switch filter set, wherein the frequency conversion circuit expands the input radio frequency to an intermediate frequency signal through two local oscillator frequency points for the input radio frequency signal and outputs the intermediate frequency signal to the amplitude control circuit; the amplitude control circuit adjusts the amplitude of the intermediate frequency signal output by the frequency conversion circuit; the switch filter set filters the signal output by the amplitude control circuit through a multi-path filter set, filters out harmonics and stray signals, and performs amplitude correction to obtain a multi-octave intermediate frequency output signal. The 3-4GHz signal is expanded to a ten-octave signal of 0.2-2GHz which can be directly processed by a digital circuit through the two local oscillator frequency points of 4 / 5GHz, the output power reaches 10dBm, the harmonic suppression reaches more than 48dBc, the power flatness reaches ±1dB, the dynamic range reaches more than 60dB, and the step is only 0.25dB.

One embodiment is a method of deconvolving overlapping first and second pulses in a photon-counting CT scanning system, the method comprising detecting a first pulse event having a first detected level; detecting a second pulse event having a second detected level; determining an amount of time that elapses between the detected first pulse event and the detected second pulse event; and reconstructing the first pulse and the second pulse using the first and second detected levels, the duration of time between the first and second pulse events, and a known pulse shape.

The application discloses a satellite attitude-orbit integrated control method for on-orbit capture, and belongs to the technical field of micro-satellite attitude-orbit integrated control. The application aims at the problem that the control accuracy is influenced by the cooperative delay of discrete actuators in the attitude-orbit integrated control. The application comprises the following steps: eight inclined thrusters are symmetrically arranged on two mounting surfaces and are symmetrically arranged on diagonal lines; based on the expression of the thrust and the force moment of the thrusters on the tracking star, a target function is constructed under the constraint condition, the thrust output meets the task requirement as a prerequisite, and the maximum moment output capacity is taken as a target to determine the mounting angle of the thrusters; a limiting amplitude correction factor is calculated by using a limiting amplitude method based on the thrust envelope, and the output capacity of the thrusters is maximally utilized as a target; a hybrid target function of the minimum fuel consumption and the minimum residual error of the moment distribution is constructed, the thrust value of each thruster is calculated, and the control of the thrusters is realized. The application is used for the satellite attitude-orbit integrated control.

The invention relates to a system comprising a first and second generator (E1, E2) delivering excitation signals to a first and second resonator (R1, R2) generating chaotic signals. The resonators (R1, R2) are structurally different and coupled to one another. Advantageously, this system makes it possible to synchronize the chaotic signals and comprises: ● a dissipation correction module acting on the modulation frequencies fm1, fm2 of the excitation signals, ● a non-linearity correction module acting on the amplitudes of the excitation signals, ● a resonant frequency correction module acting on the carrier frequencies fc1, fc2 of the excitation signals, ● an amplitude correction module acting on the amplitudes of the chaotic signals. The invention also relates to a synchronization method based on this system.

The invention discloses a system and a method for testing current transformers among transformer substations. The system comprises a mobile master station unit, a plurality of field data acquisition units and a portable standard current transformer. All the units are synchronized to coordinated world time through a global navigation satellite system; the mobile master station unit sets future absolute trigger time, and realizes synchronous acquisition of secondary signals of the current transformer to be detected and the portable standard current transformer by multi-station hardware; based on a standard truth value obtained by a main station self-monitoring loop, amplitude correction factor and phase correction calculation is carried out on each substation signal, and error compensation is completed; furthermore, high-precision and traceable ratio error and angle error results are output through frequency adaptive interception, windowing interpolation spectrum analysis and uncertainty evaluation. According to the invention, power failure is not needed, synchronous, high-precision and traceable comparison of multi-station current transformers can be realized in a wide area range, and the reliability of a power grid metering and protection system is improved.

The invention relates to a casing wave relative amplitude correction method and system based on well cementation cement density, and the method does not consider the influence of the cement density change on the casing wave amplitude during the actual well cementation quality evaluation, and simulates the full-wave waveform of sound waves received in a well through the methods of real axis integration and the like. The classic elastic wave theory and the slip interface theory are combined, and the method which is high in universality and is used for correcting the wave amplitude of the casing with the actually-measured cement density to the wave amplitude of the casing with the compared cement density is determined; according to the simulation result of the sound field in the well, the correction method has a reliable theoretical basis; the actual stratum and the rock physical model are combined, calculation is convenient and simple, universality is high, and applicability is wide.

The invention belongs to the technical field of magnetic resonance signal processing, and aims to provide a spoke image correction method and system based on a constant gradient CPMG sequence. The method comprises the following steps: scanning a specified standard motif by adopting a constant gradient CPMG sequence, and obtaining a frequency-amplitude correction curve according to a scanning result; acquiring a frequency range of a specified standard motif, and fitting the correction curve according to the frequency range to obtain a fitted frequency-amplitude correction curve; a constant gradient CPMG sequence is adopted to scan a to-be-detected sample, and spoke images of the to-be-detected sample at multiple echo moments are obtained; and adopting the fitted frequency-amplitude correction curve to correct the spoke images of the sample to be measured at the plurality of echo moments to obtain the corrected spoke images of the sample to be measured at the plurality of echo moments. The spoke image of the to-be-tested sample can be corrected, and the analysis accuracy of the to-be-tested sample can be improved.

The invention discloses a GIS partial discharge rapid positioning method based on a multi-normal projection principle, and relates to the technical field of partial discharge on-line monitoring, a three-dimensional photoelectric array formed by silicon optical semiconductor sensors is used for obtaining a partial discharge signal amplitude, a direction vector is constructed, and a unit direction is obtained through solving a local intersection point. And further combining with least square optimization of multi-unit rays to obtain initial position estimation of the partial discharge source. On the basis, an amplitude correction and iteration updating mechanism is introduced, observation data are corrected, and a real position is gradually approached, so that high-precision three-dimensional partial discharge source positioning in a complex electromagnetic environment is realized. Through the combination of the silicon optical sensor three-dimensional array and the improved multi-vector projection iterative algorithm, high-precision partial discharge positioning can be realized in a complex electromagnetic environment, the operation reliability and the operation and maintenance efficiency of equipment are remarkably improved, and the method has a wide engineering application prospect.

The present invention discloses a method and system for detecting surface defects of turbine components of an air cycle machine, comprising: building a detection basis through image preprocessing and edge extraction, enhancing defect feature contrast in combination with grayscale value and gradient amplitude correction, realizing refined regional division using a region growing algorithm, quantifying defect judgment criteria with a scoring coefficient, and optimizing detection results through overlapping region screening, thereby effectively improving the accuracy and reliability of defect detection, being able to accurately identify minor defects and avoid misjudgment, and at the same time, the automated processing flow significantly improving detection efficiency, providing efficient and intelligent technical support for turbine component quality control.

The application discloses a digital BPM channel amplitude correction method and device, equipment and a storage medium thereof, and relates to the technical field of particle accelerators. The method comprises the following steps: receiving amplitude information and filter initial coefficients of a filter in a digital beam position probe, wherein the amplitude information is obtained by collecting the amplitude of each channel after the digital beam position probe receives a linear frequency modulation signal sent by a correction signal generator, and the linear frequency modulation signal is an analog bandwidth signal of the digital beam position probe; generating a correction coefficient array based on the amplitude information; performing convolution processing on the correction coefficient array and the filter initial coefficients to obtain the latest filter coefficients, and sending the latest filter coefficients to the digital beam position probe, so that the digital beam position probe performs amplitude correction between channels based on the latest filter coefficients. In other words, the amplitude information of the overall frequency band of the digital BPM is combined to improve the accuracy of the digital BPM amplitude correction.

The application discloses a road video event fast detection method based on edge calculation, and particularly relates to the field of computer vision and image processing, and is used for solving the motion evidence distortion problem caused by frame-level time sequence disorder and content gap in road monitoring video. The method is achieved by reading a video segment, constructing a time sequence correction graph according to interframe content similarity and boundary continuity, rearranging a corrected sequence by generating a frame consistency index, estimating a stable motion field and a continuity score on the corrected sequence, and writing back a stable image amplitude correction time anchor point. According to the stable motion field, an event evidence sequence is generated, a track breakpoint is merged according to the time sequence correction graph, backtracking revision is initiated, a candidate event segment is returned, consistency verification is performed on the candidate event, if there is a conflict, a time sequence correction graph and a stable image amplitude are revised across levels, a stable motion field is re-estimated, an output confirmed event is triggered, a trigger result is published, a mapping index is established as a new segment initialization priori, and acceleration time sequence correction and judgment convergence are achieved.

The invention discloses a near-field test calibration method for a radar cross-sectional area RCS, and the method comprises the steps: carrying out the unified modeling of the overall error of a test system into a system error, and sequentially carrying out the phase correction, distance threshold screening, low-pass filtering, amplitude correction, near-far field conversion and the like of original test data. On the basis, a cascade filtering calibration method capable of decomposing filtering layer by layer is provided and is used for accurately calibrating converted data and effectively inhibiting residual noise and disturbance signals in the data, so that high-precision reckoning amplitude and phase information is obtained. In the calibration filtering process, a cascade least mean square (LMS) algorithm is adopted, and the accuracy and stability of a near-field RCS test result are remarkably improved by inhibiting and filtering uncertain noise in a system layer by layer.

The application provides a multi-modal fusion radar tide intelligent adaptive filtering method, and belongs to the technical field of radar tide.The application collects dual-polarized radar signals, performs three-layer wavelet decomposition on vertical and horizontal polarization digital intermediate frequency signals, and marks clutter coefficients based on variance and skewness threshold values, performs adaptive soft threshold processing, and utilizes a convolutional neural network to evaluate residual clutter confidence and dynamically adjust suppression strength, calculates a polarization phase difference sequence and inputs a long short-term memory network to identify false target distance units, combines ray tracing calculation of a digital elevation model to calculate multipath path parameters for phase compensation and amplitude correction, and finally detects real tide height distance Doppler spectrum peak values to obtain accurate tide height values, thereby solving the technical problem that radar tide measurement in a complex marine environment cannot effectively distinguish clutter interference and multipath false targets, resulting in a decrease in measurement accuracy.

The invention discloses a transformer winding high-frequency resonance monitoring method, device and equipment and a medium. The method comprises the steps that signals collected in real time are real-time voltage and current time domain signals output by the secondary side of the mutual inductor; performing high-frequency correction on the real-time voltage and current time domain signals through a pre-calibrated amplitude correction coefficient and a phase delay correction parameter to obtain corrected voltage and current signals; carrying out improved short-time Fourier transform on the corrected voltage and current signals, and respectively extracting a voltage high-frequency component frequency spectrum and a current high-frequency component frequency spectrum; determining a local resonant frequency library of a transformer winding based on a transformer distributed parameter equivalent model established by a finite element method; matching the voltage high-frequency component frequency spectrum and the current high-frequency component frequency spectrum with resonant frequencies in a local resonant frequency library to determine a frequency matching degree; and determining a risk degree evaluation result of the transformer winding state according to the frequency matching degree.

The invention provides a multi-channel synchronous sampling system for weak current detection and a control method thereof. According to the method, a low-noise trans-impedance amplifier array is used for converting multiple paths of weak current signals into multiple paths of analog voltage signals; at least one reference channel for outputting reference noise data; the synchronous analog-to-digital conversion array is used for synchronously sampling the multi-path analog voltage signals and the reference noise data after receiving the global conversion starting signal sent by the field programmable gate array, and converting the multi-path analog voltage signals and the reference noise data into multi-path synchronous first digital data to be output; the field programmable gate array is used for receiving the first digital data and carrying out delay compensation and amplitude correction on the first digital data to obtain multiple paths of time-aligned and amplitude-normalized second digital data; and a filter for referencing the first digital data converted from the reference noise data and eliminating the common-mode noise component in the second digital data to output purified third digital data.

This application discloses a controller heat dissipation interface compensation control method, device, and system, belonging to the field of heat dissipation control technology for servo motors. The method includes: acquiring the trigger signal of the acceleration detection unit; resolving the target interface pressure based on the thermal management target of the power device, and calculating the fundamental amplitude and frequency of the disturbance current; sampling, conditioning, and denoising the bus current, and extracting the dynamic fluctuation component to calculate the pressure coefficient; when the pressure coefficient is less than a preset separation threshold, calculating the disturbance amplitude correction based on a model reference adaptive control algorithm, adding it to the fundamental amplitude of the disturbance current; when the energy of the current spectrum exceeds a preset energy threshold within the first offset frequency range of the structural fundamental frequency, superimposing the second offset frequency onto the fundamental frequency, generating a disturbance current signal, and superimposing it onto the motor's current control signal. This method can quickly compensate for interface contact pressure and transiently suppress the rise in target interface thermal resistance.

The invention discloses a milling dynamic correction method and device for inhibiting milling chatter of a weakly rigid component. The method comprises the steps that milling simulation is carried out, and simulated surface topography data after a workpiece is machined are obtained; and a cutter is used for milling the workpiece, and a surface topography acquisition instrument is used for continuously acquiring actually measured surface topography data of the milled surface on the workpiece. According to the vibration mark difference between the actually measured surface topography data and the simulated workpiece surface topography data obtained in the second step, the three-axis compensation value of the tool at the current moment is obtained, and the position of the tool is corrected through the three-axis compensation value. According to the method, the milling chatter condition of the weak-rigidity component is judged based on the chatter mark difference between the theoretical surface appearance and the real surface appearance of the milling surface of the workpiece, the three-axis compensation value is dynamically generated, dynamic small-amplitude correction of the position of the cutter is achieved, milling chatter is reduced, and the quality and the size precision of the milling surface of the workpiece are improved.

A method and system for modifying a series of magnetic resonance imaging (MRI) scan sequences for use in a single MRI examination. In one embodiment, a method and system intersperse a set of B1 amplitude measurement sequences within a received series of MRI scan sequences such that an RF parameter value of at least one scan sequence of the received series of MRI scan sequences is altered based on the results of at least one of the interspersed set of B1 amplitude measurement sequences.

The present application relates to the technical field of sealing detection, and particularly relates to a chemical raw material storage tank sealing performance detection method, device and system, the method comprising: obtaining a pressure gradient sequence, a pressure difference sequence and a sound energy amplitude sequence in a relevant time period corresponding to a closing trigger moment of a breather valve; determining a time delay degree of the sound energy amplitude sequence according to the correlation between the pressure gradient sequence and the sound energy amplitude sequence after each translation, thereby inversely translating the sound energy amplitude sequence to obtain a sound energy amplitude correction sequence; generating a weight sequence according to the pressure difference sequence, thereby weighting and accumulating the sound energy amplitude correction sequence to obtain a sealing failure residual energy; and obtaining a chemical raw material storage tank sealing performance detection result according to the time delay degree and the sealing failure residual energy. The present application decouples the mixed acoustic signal into two independent features with clear physical meaning, thereby improving the accuracy of the chemical raw material storage tank sealing performance detection result.

The application relates to a gradient amplitude correction method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a difference value between a real value and a set value of a diffusion sensitivity factor in a nuclear magnetic resonance equipment imaging process, and determining the difference value as an error value of the diffusion sensitivity factor; determining a correction value of a gradient amplitude according to the error value of the diffusion sensitivity factor; correcting an initial gradient amplitude according to the correction value of the gradient amplitude to obtain a target gradient amplitude; and the target gradient amplitude is used for nuclear magnetic resonance imaging. The method can improve the imaging precision.

The present application relates to sewage treatment intelligent monitoring technical field, specifically disclose a kind of biochemical pond aeration state visual identification method based on water surface turmoil form, comprising: by the optical flow spatial consistency detection to water surface to judge whether there is push flow-turbulence motion coupling interference, and generate initial turbulence activity heat map;Water surface mixed motion signal is separated in motion band in time and space two dimensions, and turbulence component is decoupled with surge component, calculates global push flow interference intensity coefficient;Surge submergence degree evaluation is carried out, and pixel-level confidence weight is calculated;Turbulence signal is fused with amplitude correction in pixel-level weighting, reconstructs turbulence intensity field and turbulence activity heat map, and carries out semantic segmentation, outputs turbulence coverage, turbulence intensity index and aeration uniformity index, solve the problem that aeration turbulence visual signal is covered under push flow surge interference, realize the accurate, visual identification of biochemical pond aeration state.

The invention provides a photoacoustic endoscopic imaging method and system for achieving optical interpolation based on composite scanning, and relates to the technical field of photoacoustic endoscopic imagines.The method comprises the steps that under a composite scanning mechanism, when a multimode optical fiber is driven to move to each preset position of mechanical scanning, the multimode optical fiber is driven to move to each preset position of mechanical scanning; m * N array type independent focus points are generated according to a pre-stored array type focus binary image corresponding to the preset position, and photoacoustic signals corresponding to the multiple sub-pixel sampling points are collected in parallel through the array type independent focus points at the preset position; a global coordinate grid is established according to preset track coordinates of mechanical scanning, the spatial position of each sampling point is determined in combination with the fixed offset of the sub-pixel sampling points, a light absorption distribution image is reconstructed after time domain alignment, amplitude correction and preprocessing are carried out on the multi-channel photoacoustic signals, and finally a high-resolution photoacoustic endoscopic image is generated. According to the invention, efficient and high-resolution scanning of a global imaging region is realized.