49 results about "Scattering coefficient" patented technology

The invention is suitable for the technical field of bio-photonics, and provides a capillary refilling time self-adaptive measurement system and method, and the system comprises a negative pressure adsorption module, a step release module, a modulation module, a detection module, a demodulation module, a signal processing module and a main control unit. Standardized microcirculation stimulation is realized through negative pressure adsorption and step release; adopting a frequency domain modulation and demodulation technology to obtain the phase and the amplitude of the optical signal, and inverting an absolute absorption coefficient and a reduced scattering coefficient by utilizing a frequency domain diffusion equation; and selecting an absolute absorption coefficient under equal absorption point wavelength as a blood volume index, fitting a recovery curve through a system identification model, and calculating to obtain self-adaptive capillary refilling time. According to the collaborative scheme, the problems that in the prior art, stimulation is not standard, the result is greatly influenced by skin color and temperature, and absolute parameter support is lacked are solved, and objective and accurate measurement which is high in repeatability, cross in skin color and resistant to environmental interference is achieved.

The invention relates to the technical field of atmospheric environment monitoring and optical detection, in particular to an aerosol vertical profile correction method and device for aerosol scattering coefficient and laser radar combined observation, and the method comprises the steps: S1, collecting echoes according to an integral window, and obtaining distance correction echoes; s2, collecting a height scattering coefficient greater than or equal to 2, and aligning the height scattering coefficient with a distance correction echo grid / time; s3, background deduction, resolution matching and invalid height elimination are carried out to obtain preprocessed echoes; s4, generating an initial scattering coefficient profile; s5, identifying layered boundary division layer intervals; s6, establishing a correction factor model for each layer, adding overlap compensation to the near earth, and introducing a system constant; s7, taking the consistency of the total height of the theoretical echo and the preprocessed echo as a target, taking the consistency of multi-height scattering coefficients as a constraint, and carrying out joint solving to obtain correction factor distribution; and S8, outputting a correction profile, boundary information and a parameter set. According to the method, system constants and overlap compensation are solved by preprocessing echo layering scale gradient correction factors through combination of full-height consistency and two-height actual measurement constraints, and a correction profile is stabilized.

This invention relates to the field of aerosol monitoring technology, specifically to an aerosol classification and identification system based on graded filtration and multi-optical parameter detection. The system includes an automatic membrane-changing graded filtration device, a sampling gas path switching device, an optical detection module, and a data processing and control device. The automatic membrane-changing graded filtration device loads multiple nucleopore membranes of different pore sizes and automatically switches them sequentially to achieve stepwise particle size separation of aerosol samples. The optical detection module integrates a cavity ring-down spectroscopy unit and an integrating sphere scattering measurement unit sharing a single laser light source, simultaneously measuring the extinction coefficient and scattering coefficient of the same graded sample. The data processing and control device constructs a matching feature vector based on the current filter membrane pore size and the calculated absorption coefficient, single-scattering albedo, and other optical parameters, compares it with an optical fingerprint database, and outputs the particle type identification result. This invention solves the technical problem of effectively distinguishing mixed aerosol components through dual-dimensional synergistic analysis of particle size and optical parameters, achieving accurate identification of aerosol particle types.

This invention relates to the field of near-infrared analysis technology, specifically to a system for analyzing the uniformity of multi-bin cotton blending in a cotton cleaning machine based on near-infrared spectroscopy. The system includes: acquiring near-infrared spectral curves and cotton bin humidity at different sampling times; analyzing the effects of baseline shifting and curve scaling based on fluctuations in the spectral curves to identify abnormal curves; determining the scattering coefficients of abnormal states based on the abnormal state parameters and humidity changes of all abnormal curves; removing the wavelength range absorbed by hydroxyl bonds from the abnormal curves to obtain de-hydroxyl bond curves; determining the degree of influence of hydroxyl bond absorption effect by combining the difference in scattering coefficients between the abnormal curves and the corresponding de-hydroxyl bond curves; and finally, adjusting the ventilation efficiency in the cotton bins according to the degree of influence to achieve uniformity analysis. This invention can effectively analyze the impact of cotton bin humidity on noise interference generated during spectral detection, improving the accuracy of detection results when detecting the uniformity of multi-bin cotton blending.

This invention discloses a direct snow depth inversion method based on a spaceborne photon-counting lidar, comprising: extracting the target snow-covered area, removing areas with thick cloud cover and non-target surface point clouds, aligning the surface, and performing noise correction; performing deconvolution to obtain a corrected snow attenuation backscattering profile; setting an initial snow absorption coefficient, inverting the backscattering path length distribution of non-absorbing snow, and calculating the first and second moments of this distribution; based on the first and second moments, simultaneously inverting snow depth, snow albedo, and diffuse scattering coefficient; combining the snow albedo and diffuse scattering coefficient to calculate an updated snow absorption coefficient; if the updated snow absorption coefficient does not meet the set convergence threshold, using the updated snow absorption coefficient as the new initial snow absorption coefficient, and repeating the iteration; if it meets the threshold, outputting the final snow depth. Using this invention, along-track snow depth inversion can be achieved directly without relying on any other data.

This invention discloses a method for retrieving global ocean optical attenuation coefficients based on remote sensing reflectance. It obtains the remote sensing reflectance at any wavelength below the sea surface and the ratios related to inherent optical quantities using satellite-provided remote sensing data. For clear seawater and relatively clear coastal seawater, the QAA_v5 algorithm is used to obtain the absorption and backscattering coefficients at any wavelength; for turbid coastal seawater, the QAA-RGR algorithm is used. Different models for solving the scattering coefficients are used for different sea areas. The global ocean optical attenuation coefficient is obtained by adding the absorption and scattering coefficients. This invention divides the global ocean into regions and provides models for solving the absorption and scattering coefficients for different regions. It can directly calculate the optical attenuation characteristics of different sea areas using satellite-provided data, improving the reliability of solving the optical attenuation coefficient and enabling dynamic monitoring of the variation of the global ocean optical attenuation coefficient.

This invention provides a method and system for modeling sea clutter in a multi-channel spaceborne bistatic radar, including: solving the spaceborne-sea geometric relationship; calculating the two-way radiation pattern of the spaceborne bistatic radar antenna; modeling the time-varying motion of the sea surface; calculating the bistatic scattering coefficient of sea clutter; and synthesizing the multi-channel sea clutter echo of the spaceborne bistatic radar. This invention can achieve high-precision modeling of multi-channel sea clutter for spaceborne bistatic radar under different bistatic configurations and system parameters, overcoming the problems of existing models that do not consider the internal motion of multi-channel sea clutter in spaceborne bistatic radar, and do not consider the influence of different polarization modes and azimuth bistatic angles on the bistatic sea clutter scattering coefficient.

To provide a protective film excellent in adhesion to an electrode and also excellent in wet heat durability, and a laminate.SOLUTION: A protective film for electrodes, comprising a polymer A having a repeating unit A having an acid group, wherein the protective film has an acid number of 120mgKOH / g or less, the protective film has an absorption maximum in a range of wavelengths of 300 to 400nm, and when the protective film is heated at 140 °C for 30 minutes, a change rate of K (absorption coefficient) / S (scattering coefficient) at the absorption maximum is 10% or less.SELECTED DRAWING: None

The present application relates to the technical field of satellite calibration, and in particular to a SAR satellite absolute radiation calibration method, device, equipment and storage medium, wherein the SAR satellite absolute radiation calibration method comprises: determining a natural distribution target as a calibration field; imaging the calibration field respectively to obtain a calibrated SAR image and a medium-high orbit SAR image; establishing a corresponding relationship between noise power and an incident angle, and removing noise power from the calibrated SAR image and the medium-high orbit SAR image based on the corresponding relationship; performing geometric consistency processing; calculating the backscattering coefficient of the calibration field; and calculating the calibration constant of the medium-high orbit SAR satellite to be calibrated. The above method solves the technical bottleneck of difficulty in arranging a large-size corner reflector outside the field and inability to cover the full field of view of large-width imaging by introducing a calibrated SAR satellite as a radiation reference and combining it with the natural distribution target.

This invention discloses a laser measurement method and system for measuring temperature and particle size in non-isothermal multiphase flow, belonging to the field of optical measurement and laser diagnostics. The method includes: generating multispectral illumination light; acquiring RGB color images of the flow before and after transient non-isothermal multiphase flow; separating the two image channels to obtain a single-channel reference image and a single-channel detection image; calculating the logarithmic extinction value of each pixel at the wavelength of that channel based on its single-channel reference image and single-channel detection image; taking any channel wavelength as the reference wavelength, decoupling the temperature-related absorption coefficient and particle size-related scattering coefficient at the reference wavelength based on the logarithmic extinction value and a pre-constructed lookup table; and using a structured index to search the lookup table and invert the temperature and particle size values ​​of each pixel at the reference wavelength, generating a spatially resolved temperature and particle size distribution map at the reference wavelength. This invention improves computational efficiency and reduces system cost.

Embodiments of the present application provide a medical image parameter reconstruction method, system, device and medium, relating to the technical field of medical detection, the method comprising: acquiring a suspicious lesion position and structural information of the suspicious lesion of a human body tissue to be measured by an ultrasonic probe in a composite probe; guiding a light source end and an optical detection end of an optical probe in the composite probe to collect optical signals according to the structural information; constructing an optical scattering model according to the structural information and the optical signals; constructing a forward analytical model by using the optical scattering model to obtain an analytical expression of an absorption coefficient and a scattering coefficient of the human body tissue to be measured; performing inverse solution on the analytical expression by using a regression algorithm to obtain a solution parameter of the analytical expression; solving a target parameter according to a solution relationship; and solving the absorption coefficient and the scattering coefficient of the human body tissue to be measured by using the target parameter. The present application can improve the detection accuracy of metabolic function information of a lesion in the human body tissue to be measured.

The invention relates to the technical field of agricultural remote sensing and information, and particularly discloses a method and system for simulating a radar backscattering coefficient of a rice field in a heading period, and the method comprises the steps: obtaining geometric and physiological parameters of the rice field, and synchronously and actually measuring radar data; dividing the canopy into a spike leaf mixing layer, a stem leaf mixing layer and an underlying surface layer; five scattering mechanisms of ears, leaves and stems are decomposed; calculating component complex permittivity based on the model; constructing a fine three-dimensional geometric model of the ears, the leaves and the stems; obtaining a scattering matrix of each component through electromagnetic simulation; calculating an interlayer attenuation coefficient and a propagation constant by using the forward scattering matrix; calculating phase deviations under different scattering paths; and finally, performing coherence superposition on the backscattering contributions of the components in combination with phase deviation to obtain a total backscattering electric field and a coefficient. Through combination of component-level fine electromagnetic simulation and a scene-level radiation transfer theory, high-precision and high-efficiency scattering simulation is realized, and remote sensing monitoring of rice is effectively supported.

The invention provides a laser output adjustment method and device, computing equipment and a storage medium, and the method comprises the steps: collecting environment parameters, and calculating a scattering coefficient and an absorption coefficient based on the environment parameters; calculating the atmospheric transmittance based on the attenuation coefficient and the absorption coefficient; determining a recommended wavelength and a recommended line width based on the atmospheric transmittance; and adjusting the output of a target laser according to the recommended wavelength and the recommended line width. Atmospheric environmental parameters are monitored in real time, a correlation model with laser transmission efficiency is established, laser wavelength and line width are dynamically adjusted according to environmental changes, real-time atmospheric absorption peaks are avoided, and stable output of the laser is achieved.

The invention discloses a spectrum optimization-based double-layer medium wide spectrum parameter simultaneous reconstruction method, relates to the technical field of spectral imaging, and aims to solve the problems that when wide optical parameter reconstruction is carried out based on a multi-layer medium model in the prior art, detection radiation optical signals are limited by a traditional contact type measurement mode, and the reconstruction precision is low. On the basis of a traditional participating medium optical parameter measurement and reconstruction method, a light field camera is introduced to more accurately detect a reflected radiation measurement signal of a medium boundary; a reconstruction optimization algorithm of searching an initial point by a steepest descent method and searching an optimal solution by a conjugate gradient method is combined, so that the efficiency of accurate reconstruction of the double-layer medium is greatly improved, the limitation of a traditional contact measurement mode is broken through, and the reconstruction precision is improved; in view of the problem that a radiation measurement signal is extremely low in sensitivity to a reduced scattering coefficient of a bottom-layer medium, prior information of a spectrum dimension is introduced, reconstruction results of an absorption coefficient and a reduced scattering coefficient of a double-layer medium, especially the bottom-layer medium, are improved, and simultaneous reconstruction of a double-layer medium absorption spectrum and a reduced scattering spectrum is realized.

This application provides a method and apparatus for generating panoramic fog scene images based on depth information. The method includes: step S1, acquiring an outdoor panoramic image and its depth map; step S2, calculating the scattering coefficient corresponding to each image region based on the regional distribution of the outdoor panoramic image; step S3, calculating a light transmittance map based on the depth map and the scattering coefficient corresponding to each image region, and performing fogging processing on the outdoor panoramic image based on the light transmittance map and a preset atmospheric light value to obtain a panoramic fog scene image. The technical solution of this application calculates the scattering coefficient corresponding to each region based on the regional distribution of the outdoor panoramic image, which can simulate the physical characteristics of fog concentration changing with spatial position in the real atmosphere, such as denser at the bottom and lighter at the top, denser near and lighter far, making the generated fog scene image more in line with the atmospheric optical laws and improving the spatial layering and volume of the fog effect.

The invention discloses an automatic vehicle identification method and device for a highway. The method comprises the following steps: acquiring a light and geometric field resonance primitive set and a thermal imaging and electromagnetic field resonance primitive set; performing multi-modal feature fusion on the light and geometric field resonance primitive set and the thermal imaging and electromagnetic field resonance primitive set to obtain a vehicle comprehensive feature vector; and inputting the vehicle comprehensive feature vector into a trained multi-task recognition model to obtain a recognition result which comprises at least one of vehicle type recognition, license plate recognition and personnel counting. According to the invention, two kinds of resonance element sets of light and geometric field and thermal imaging and electromagnetic field are constructed. The light and geometric field resonance primitive fuses image multi-scale edges, textures, color features and point cloud geometric fine structures, and the thermal imaging and electromagnetic field resonance primitive integrates infrared radiation exitance, thermal dynamic features, millimeter wave scattering coefficients and micro-Doppler features, so that collaborative characterization of vehicle light-geometry-thermal-electromagnetic multi-dimensional attributes is realized.

An apparatus and method for detecting smoke using multi-angle light scattering. The apparatus includes a light source array in which a plurality of light sources outputting optical signals of a same wavelength are arranged at a regular interval and configured to output the optical signals at different irradiation angles to smoke particles, a lens configured to divert optical paths of the optical signals output from each of the plurality of light sources included in the light source array, an optical detector configured to measure the optical signals that pass through the lens and are scattered and absorbed by the smoke particles, and a computing device configured to classify types of the smoke particles using a scattering coefficient and an absorption coefficient of the smoke particles determined through the measured optical signals.

This application relates to a parameter-free autofocusing method, apparatus, and device for terahertz SAR moving targets. The method includes: initially focusing radar echo data to obtain a coarse-focused image and delineating the target region of interest; constructing a coupled optimization function using the azimuth phase compensation vector as the optimization variable, combining a data fidelity term and a block L1 norm regularization term (characterizing the continuous scattering cluster characteristics of the target); introducing frequency domain auxiliary variables to construct an augmented Lagrangian function, building an iterative framework based on ADMM, synchronously updating the target block sparse scattering coefficients and the azimuth phase compensation vector (applying unit amplitude constraints to achieve pure phase compensation), and solving for the optimal compensation vector; using it to compensate the echo data to complete autofocusing. This method effectively solves problems such as complex echo phase and defocusing in traditional methods, demonstrating significant advantages.

The present disclosure relates to a time of flight ranging system and a ranging method thereof, the ranging method comprising: performing scattering detection, and obtaining a scattering coefficient of each pixel unit in the sensing array, specifically comprising: emitting scattering detection light into a detection field of view, the detection field of view includes detected objects at different distances and is divided into a close-range area and a far-range area; obtaining a detection value of each pixel unit generated by reflected light and scattered light generated by the reflected light, calculating a ratio of the detection value generated by each pixel unit to a sum of the detection values generated by all pixel units of the entire sensing array as a pixel scattering coefficient corresponding to the pixel unit; performing distance measurement, and obtaining an initial measurement value output by each pixel unit; correcting initial measurement values output by at least part of the pixel units according to the scattering coefficients to obtain corrected measurement values; and calculating corrected measurement distance according to the corrected measurement values. The ranging method can eliminate the influence of a close-range object on the measurement result to a far-range object.

A method and apparatus for simulating sunlight and sky illumination are disclosed. The method includes calculating the sky light color at different celestial altitudes in a given region, and the PWM signal information required to control the corresponding LED light source module, based on the volumetric scattering coefficient of the atmosphere in different regions and the photoelectric parameters of the LED light source module. Based on the solar altitude angle, atmospheric optical quality, and extraterrestrial radiation spectrum, the method calculates the sunlight color at different times, and the PWM signal information required to control the corresponding LED light source module. In response to a user command, the LED driver module outputs the PWM signal information to control the LED light source module. This invention enables the simulation of sky light color at different celestial altitudes in different regions, the color of sunlight at different times and dates in different geographical locations, the change from sky light color to sunlight color, and the synchronous change of sky light color and sunlight color.

The present application relates to a kind of ITR-DTV radar forward-looking super-resolution imaging methods based on Renyi entropy, imaging method includes: based on the motion geometry model of radar forward-looking imaging, echo signal is expressed as the form of antenna directional diagram convolution target scattering coefficient in azimuth direction, radar observation model is constructed;Target scattering coefficient is constructed target function;Combined with radar observation model, direction total variation operator is used as the regularization term of target function, while adding positive definite weighting matrix in the loss function of target function, and Renyi entropy is selected as another regularization term of target function, and target optimization model is obtained;ADMM method is used to iteratively solve target optimization model, and model function is obtained, and the relaxation variable in model function, target phase and target amplitude are updated;Target scattering coefficient is calculated using target phase and target amplitude, and the super-resolution imaging of target is realized.The imaging method has strong target image direction texture detail recovery ability, strong scene adaptability and small error.

The application discloses a hyperspectral backscattering function and scattering coefficient measuring device, and belongs to the technical field of backscattering function measuring devices. The device comprises a light source. The light emitted by the light source is divided into two beams of collimated light through a one-to-two optical fiber jumper wire. One beam of collimated light is introduced into a reference light flux detector through a first optical fiber. The other beam of collimated light enters a first optical window through a second optical fiber and irradiates a scattering body in a sample cell. The scattered light generated after scattering by the scattering body is introduced through a second optical window and transmitted to a scattering flux detector through a third optical fiber. The scattering flux detector is used for receiving the scattered light from the scattering body and performing spectral spectroscopy and array detection on the scattered light. The reference light flux detector is used for receiving the light flux from the light source introduced through the first optical fiber and performing spectral spectroscopy and array detection on the light flux. The application solves the problem that the existing water backscattering function and scattering coefficient measuring device can only detect the backscattering coefficient of water at several wavelengths.

The invention discloses an epilepsy child brain oxygen monitoring method based on a near-infrared gating ICCD imaging technology, and belongs to the technical field of medical monitoring and brain function imaging. Pulse is transmitted to the head of an epilepsy child through a laser, and photons return again after reaching brain tissue; setting an acquisition interval of the near-infrared gating ICCD detector to acquire a plurality of brain frame images; acquiring the light intensity of each pixel point in the plurality of brain frame images, and establishing a light intensity response curve; photon flight parameters are extracted to invert an absorption coefficient and a scattering coefficient corresponding to each pixel point; fitting oxyhemoglobin concentration and reduced hemoglobin concentration corresponding to each pixel point, and calculating oxygen saturation; and generating a brain oxygen saturation image for brain oxygen monitoring. The space coverage range, the imaging efficiency and the quantitative accuracy of brain oxygen monitoring are remarkably improved, and a powerful visual tool is provided for epilepsy focus positioning and preoperative brain function evaluation of child epilepsy.

The application discloses a kind of based on optical gain's ultra-scattering and zero forward scattering synergic control system and method, it is related to optical scattering enhancement technical field.Method includes constructing space rectangular coordinate system, let cylindrical scatterer be placed vertically along z axis, transverse magnetic wave is emitted by emission device along x axis incidence, emission device emits transverse magnetic wave, let transverse magnetic wave and cylindrical scatterer interact, total magnetic field in the free space of cylindrical scatterer coordinate is detected using detection device, based on total magnetic field, scattering coefficient of different scattering channels of cylinder and total scattering cross section are obtained, based on scattering coefficient and total scattering cross section, key parameters for controlling scattering intensity and directionality are obtained, scattering pattern is obtained by adjusting key parameters of cylindrical scatterer.The application provides a new way for designing advanced optical devices applied in subwavelength antenna, optical communication, radar sensing and imaging and other fields.

The invention discloses a light control method and system for photodynamic therapy, and belongs to the technical field of medical equipment control. The method comprises the steps of setting initial power of an excitation light source and starting treatment; collecting a total fluorescence emission spectrum and a diffuse reflection spectrum of the treatment area in real time; based on LED driving current and junction temperature monitored in real time, calling a dynamic normalized spectrum decoupling model, and accurately separating fluorescence intensity of a photosensitizer and a light product from total fluorescence; meanwhile, tissue absorption and scattering coefficients are inversed in real time based on a diffuse reflection spectrum; and taking the separated fluorescence intensity, the inverted tissue optical parameters, the real-time temperature and the oxyhemoglobin saturation as state input, generating a current optimal power adjustment instruction through a pre-trained reinforcement learning agent, and coupling a heat-light-oxygen cooperative constraint strategy to dynamically adjust the output power of an excitation light source. According to the invention, through deep fusion and intelligent decision of multi-physical field information, accurate and adaptive closed-loop control of light in the photodynamic therapy process is realized.

The invention relates to the technical field of plastic defect detection, in particular to an engineering plastic product internal bubble defect detection method based on laser scattering chromatography, which comprises the following steps of: acquiring a time domain scattering signal through a multi-angle scattering light receiving array, and performing dynamic compensation in combination with material thickness and environment temperature parameters; and the refractive index interference caused by temperature is eliminated. And based on the compensated scattering characteristic parameter set, constructing a three-dimensional scattering coefficient distribution diagram by adopting a chromatography reconstruction algorithm, visually displaying the internal density gradient change, and presenting a local high scattering coefficient value in a bubble defect area. And through adaptive threshold segmentation and bubble morphological feature screening, accurate identification and authenticity discrimination of a defect area are realized. And finally, a hyperboloid fitting model is adopted to quantify the bubble volume radius, geometric center and distribution density parameters, the product structural integrity is judged according to a preset safety threshold, and the detection precision and reliability are remarkably improved.

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

This invention relates to the field of rock and mineral analysis, and discloses a spectral analysis measurement method for rock and mineral composition, comprising: projecting a sinusoidal spatial frequency discrete sequence structured light field onto the surface of the rock to be tested; acquiring a diffuse reflection image, extracting the AC reflectance distribution matrix by phase shift method to isolate the physical interference signal between the background DC light and the static tilted substrate of the rock surface; using a radiative transfer approximation model to solve the objective function of the measured reflectance and photon diffusion equation to obtain the intrinsic absorption coefficient spectrum and the reduced scattering coefficient spectrum; and comparing the energy level absorption characteristics to determine the target mineral composition. This invention utilizes the physical laws of the influence of medium scattering and absorption on light fields of different spatial frequencies to forcibly separate the scattering response generated by rock particle size and the absorption response generated by chemical composition in the physical excitation stage, thereby eliminating the spectral baseline drift caused by the rough surface morphology.

The application discloses a haze image synthesis method based on depth guidance and domain alignment, which comprises the following steps: 1, depth information acquisition and processing, obtaining depth normalization value; 2, through domain alignment, the real haze image and the clear image to be synthesized are obtained to update the transmittance; 3, based on the real haze image, the atmospheric light value A' is obtained; 4, based on the depth normalization value and the atmospheric scattering coefficient multilevel strategy, the transmittance under different atmospheric scattering coefficients is obtained, and the optimized transmittance under different atmospheric scattering coefficients is obtained by combining the updated transmittance weighting; 5, based on the atmospheric light value A' and the optimized transmittance under different atmospheric scattering coefficients, the haze synthesis image under different atmospheric scattering coefficients is obtained. The haze synthesis image with real depth effect and natural haze concentration distribution is generated through the depth information guidance and the domain alignment physical model constraint, and the diversity and authenticity of the synthesized image are improved.

The invention discloses a haze image synthesis method based on depth guidance and domain alignment, and the method comprises the following steps: 1, obtaining and processing depth information, and obtaining a depth normalized value; 2, carrying out domain alignment on the real haze image and the clear image to be synthesized to obtain an updated transmissivity; 3, obtaining an atmospheric light value A'based on the real haze image; 4, obtaining transmissivity under different atmospheric scattering coefficients based on the depth normalized value and an atmospheric scattering coefficient multi-level strategy, and obtaining optimized transmissivity under different atmospheric scattering coefficients by combining updated transmissivity weighting; and 5, based on the atmospheric light value A'and the optimized transmissivity under different atmospheric scattering coefficients, obtaining a haze composite image under different atmospheric scattering coefficients. Through depth information guidance and domain alignment physical model constraint, the haze synthesis image with a real depth-of-field effect and natural fog concentration distribution is generated, and the diversity and authenticity of the synthesis image are improved.