28 results about "Atmospheric optics" patented technology

The invention relates to an optical satellite absolute radiometric calibration method, device and equipment under ocean low brightness based on an offshore pseudo-invariant field and a medium, and belongs to the technical field of in-orbit absolute radiometric calibration. According to the method, a marine pseudo-invariant field with stable water and atmospheric optical characteristics is determined according to marine observation data of a calibrated optical satellite, the off-water radiance of the marine pseudo-invariant field is calculated according to the chlorophyll a concentration of the marine pseudo-invariant field, the zenith radiance is theoretically calculated, a data source is provided for absolute radiometric calibration of a satellite to be calibrated, and calibration is completed. The method explores the potential of the marine pseudo-invariant field in supplementing the traditional radiometric calibration method, gets rid of the limitation of a fixed and single marine optical buoy MOBY site data source, improves the data volume, the coverage area and the acquisition frequency of effective calibration data, provides guarantee for the continuity of an optical satellite observation task, and has a wide application prospect. And a plurality of calibration sources can be utilized to realize rapid and accurate calibration of the optical satellite, so that the calibration efficiency of the offshore optical satellite is remarkably improved.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The application provides an atmospheric optical turbulence prediction method and device, the method comprising: obtaining meteorological data at a first time and atmospheric coherence length data within a first time period; inputting the meteorological data into a target model to obtain a preliminary turbulence prediction result; extracting a time feature of the atmospheric coherence length data, and updating the preliminary turbulence prediction result based on the time feature to obtain an updated turbulence prediction result. The method reduces the interference of errors caused by the dynamics and randomness of turbulence on the turbulence prediction result, and improves the accuracy of atmospheric optical turbulence prediction.

The invention relates to the technical field of augmented reality, in particular to a 24-solar-term astronomical space-time presentation method and system based on mixed reality. The method comprises the following steps: firstly, reading augmented reality scene initialization data, configuring virtual scene parameters, and executing three-dimensional scene registration to generate a registration matrix; executing visual tracking by collecting an image stream, and generating a viewpoint transformation matrix; the system performs real-time sky semantic segmentation on an image stream to generate a binarized sky mask, and constructs an augmented reality rendering pipeline: synthesizing registration and viewpoint matrix calculation rendering operators, using the sky mask as an Alpha mask to perform pixel-level fusion of a virtual starry sky and a real sky, and combining sparse point clouds to perform depth occlusion synthesis, so as to obtain an augmented reality rendering pipeline. An atmospheric optical coloring model and a dynamic volume particle system are loaded for environmental atmosphere enhancement; and optical consistency fusion of a virtual image and a real environment is further realized through HDR luminosity alignment and tone mapping, and finally high-fidelity augmented reality superposition is realized.

The invention relates to a sulfide ore body detection method and device, prospecting equipment and a computer storage medium, and belongs to the technical field of prospecting. The sulfide ore body detection method comprises the steps that a target to-be-detected area and a comparison detection area used for being compared with the target to-be-detected area are determined; multiple atmospheric optical parameters of the target to-be-detected area and the contrast detection area are collected, and the difference between the multiple atmospheric optical parameters of the target to-be-detected area and the corresponding atmospheric optical parameters in the contrast detection area is determined; and determining the probability that sulfide ore bodies exist in the target to-be-detected area based on the difference. The detection accuracy of the sulfide ore body can be improved.

The present invention discloses a multi-path atmospheric coherence length measurement method and system for satellite-to-ground laser communication. The system consists of a binocular image acquisition module, a control module, a data processing module, and a storage module. The binocular image acquisition module is used to acquire paired star spot images, the control module is used to control the binocular image acquisition module to effectively acquire images, the data processing module is used to extract the centroid of the star spot from the two frames of synchronously acquired images, and use the differential image motion method to calculate the atmospheric optical turbulence intensity on the path where the spot is located; the storage module saves the data results. In the specific measurement method, the photon flux density method is used to calculate the detection capability of the measurement system; the number of detectable star spots and their probability are determined based on the field of view of the equipment; the optical flow method is used to realize the estimation of pixel motion and the tracking of star point trajectories; the atmospheric coherence length and seeing are calculated based on the variance of the centroid motion of the star spot, revealing the intensity of atmospheric optical turbulence at different positions.

The present invention provides a method and device for forward scattering correction of spaceborne photon counting lidar ranging, which relates to the technical field of lidar ranging, and is used to solve the technical problems that the prior art cannot meet the requirements of real-time processing for high-frequency observation tasks and it is difficult to achieve high-precision correction of forward scattering errors. The method includes: obtaining payload parameters of a spaceborne lidar system and atmospheric optical physical parameters under different conditions; generating an initial parameter set according to the payload parameters and the atmospheric optical physical parameters; using the Monte Carlo method to simulate a first change characteristic of the photon path under cloudy conditions compared with the photon path under clear sky conditions, and simulating a second change characteristic of the photon path under aerosol conditions compared with the photon path under clear sky conditions; fusing the first change characteristic and the second change characteristic to obtain forward scattering correction data; querying a corresponding forward scattering correction value in the forward scattering correction data according to the current atmospheric optical physical parameters to correct the ranging error.

The invention provides a laser radar satellite inversion method and system for optical parameters of background aerosol, and the method comprises the steps: carrying out the preprocessing of satellite-borne laser radar calibration data, and obtaining a vertical channel signal, a parallel channel signal and a hyperspectral channel signal of the background aerosol; performing day and night backscattering coefficient inversion on the vertical channel signal, the parallel channel signal and the hyperspectral channel signal by adopting different denoising strategies to obtain a night backscattering coefficient and a final backscattering coefficient; performing noise reduction processing on the accumulated atmospheric optical thickness corresponding to the night signal to obtain a night extinction coefficient; constructing a laser radar ratio climate field according to the night backscattering coefficient and the night extinction coefficient; and multiplying the climate field by the final backscattering coefficient through the laser radar to obtain a final extinction coefficient. By introducing an innovative multi-scale denoising and systematic deviation correction technology, the low signal-to-noise ratio challenge is effectively overcome, and the inversion precision is remarkably improved.

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 application belongs to the technical field of lighting, and particularly relates to a lighting device control method, a computer readable storage medium and a lighting device. The method comprises the following steps: determining a solar elevation angle of a geographical position of a lighting device at a target moment; determining atmospheric optical quality of the target moment according to the solar elevation angle; determining a ground spectrum of the target moment according to the atmospheric optical quality and a preset extraterrestrial radiation spectrum; determining a color temperature of the target moment according to the ground spectrum and a preset tristimulus value function; and performing color temperature control on the lighting device according to the color temperature at the target moment. In the application, astronomical parameters and atmospheric radiation transmission parameters that influence natural sunlight are fully considered, and the accuracy is high, so that a better natural sunlight simulation effect can be achieved.

The present application relates to the field of optical imaging and atmospheric optics, and particularly relates to an experimental device and method for analyzing imaging characteristics of fog environment. The device comprises, in sequence along the light path, a camera real shooting and light source subsystem, a fog environment generating subsystem, a fog generating and concentration control subsystem, a transmitted light receiving subsystem and a data control unit. The present application realizes time sequence synchronization of fog generation, image acquisition and spectrum acquisition through the data control unit, establishes a quantitative mapping relationship between the fog concentration and the image chroma and brightness, and provides accurate experimental data basis for verification and optimization of the image dehazing algorithm, and has the characteristics of strong repeatability and high data reliability.

The present invention relates to a method, device, equipment and medium for absolute radiation calibration of optical satellites under low ocean brightness based on a pseudo-invariant field at sea, and belongs to the technical field of on-orbit absolute radiation calibration. The method determines a pseudo-invariant field at sea with stable water and atmospheric optical characteristics from calibrated optical satellite ocean observation data, calculates its water-leaving radiance through the chlorophyll a concentration of the pseudo-invariant field at sea, and theoretically calculates the zenith radiance, providing a data source for absolute radiation calibration of the satellite to be calibrated, thereby completing the calibration. The present invention explores the potential of pseudo-invariant fields at sea in supplementing traditional radiation calibration methods, breaks away from the data source limitations of fixed, single ocean optical buoy MOBY sites, increases the data volume, coverage area and acquisition frequency of effective calibration data, provides a guarantee for the continuity of optical satellite observation missions, and can use multiple calibration sources to achieve rapid and accurate calibration of optical satellites, significantly improving the efficiency of marine optical satellite calibration.

The application discloses a wedge mirror frosting and dewing judgment method and device based on image processing and belongs to the technical field of atmospheric optical measurement equipment. The method comprises the following steps: collecting images of stars after being split by a double-wedge mirror in real time and converting the images into gray-scale images; identifying star targets by adopting a YOLO series light model and extracting starlight spots of regions of interest; calculating three characteristic indexes of spot gray-scale uniformity, spot edge sharpness and star target contrast for each spot region of interest; obtaining an ambient temperature and a dew point temperature, combining preset judgment thresholds of the three characteristic indexes in S3, adopting a continuous frame judgment rule and judging whether frosting and dewing phenomena exist on the surface of the double-wedge mirror; and according to a frosting and dewing judgment result, controlling the start-stop and heating power of a transparent heating film on the surface of the double-wedge mirror, simultaneously monitoring image deformation states in a heating process and dynamically adjusting heating parameters. The application can realize automatic and accurate judgment of frosting and dewing of the double-wedge mirror.

The present invention discloses a method for modeling a sky polarization pattern that takes into account the influence of surface reflection depolarization, and belongs to the field of atmospheric optics and polarized light navigation technology. The method solves the problem in the prior art that the full sky polarization pattern modeling method does not fully and accurately consider the influence mechanism of surface reflection depolarization, resulting in the overall deviation of the calculated sky polarization distribution from the measured result. The present invention calculates the solar zenith angle and azimuth according to the geographical location and observation time; calculates the ideal sky polarization pattern according to the Berry model of the sky polarization vector distribution; realizes the mapping transformation from a two-dimensional plane to a three-dimensional sphere according to the stereographic projection transformation relationship; calculates the full celestial surface reflection depolarization coefficient by combining the observation altitude, observation wavelength, solar zenith angle and surface reflectivity; and multiplies the surface reflection depolarization coefficient by the ideal sky polarization pattern to obtain a sky polarization pattern that takes into account the influence of surface reflection depolarization. The present invention effectively improves the calculation accuracy of the sky polarization model and can be applied to sky polarization pattern modeling.

The present application relates to the technical field of atmospheric optical remote sensing, and discloses a method and system for detecting airglow gravity waves based on multi-stage filtering and deep learning. The method comprises the following steps: after the star difference of adjacent airglow images is removed, the background trend is extracted by median filtering and Gaussian filtering in turn, and an enhanced image is obtained by geographic projection and adaptive stretching; after the enhanced image is added with a Kaiser window, a cover image is obtained by multi-scale Gabor filtering; a gravity wave frame is input into a convolutional neural network for detection; the current frame region is intercepted by an extended frame, and a windowed Fourier transform is performed to obtain an amplitude spectrum; meanwhile, the group velocity is calculated by using cross-correlation matching; the peak value with the smallest angle with the group velocity direction is selected in the amplitude spectrum to calculate the wavelength and direction; and the group velocity direction is corrected according to the relationship between the phase velocity direction and the group velocity direction. The present application solves the problem of automatic recognition of weak airglow signals, and realizes high-precision automatic detection of gravity waves and multi-parameter quantization.

The application discloses an airborne hyperspectral imager radiation correction method and system, which is used for improving the radiation correction accuracy under complex weather. The method comprises the following steps: calculating the theoretical sun position based on the initial coordinates of the unmanned aerial vehicle, ephemeris data and atmospheric parameters; combining the IMU heading and wind speed and direction data to perform heading and differential compensation on the sun azimuth angle, and performing refraction correction on the elevation angle, and outputting high-precision sun position parameters; synchronously collecting hyperspectral images and irradiance data, using quaternion interpolation combined with IMU data to realize space-time alignment and eliminate attitude disturbance; constructing a hemispherical space irradiance model based on the aligned data, dividing the cloud layer mode (clear sky, thin cloud and thick cloud) according to the atmospheric optical thickness variance, and respectively adopting Lambert body proportional correction, discrete longitudinal scale method or deep convolution spectral network for radiation correction. The application significantly improves the correction accuracy and generalization ability, supports large-area image splicing, and is suitable for quantitative applications such as geological exploration and environmental monitoring.

The invention relates to the technical field of atmospheric optical detection, and discloses an atmospheric transparency detection device for quantum entangled photons. The quantum entanglement light source module is used for generating entanglement photon pairs associated in the time dimension, and the entanglement photon pairs comprise signal photons and reference photons; according to the quantum entanglement light source monitoring system, background noise such as sunlight is efficiently filtered out by means of entanglement photon pair time relevance and a coincidence measurement mechanism, all-day stable monitoring is achieved, and the daytime measurement problem of a traditional technology is solved; by comparing a reference photon counting rate with a signal photon counting rate, a light source fluctuation error is counteracted, narrow-band filtering and a high-sensitivity single-photon detector are matched, the precision bottleneck is broken through, and high-precision parameter inversion is achieved; flexible switching of two detection paths is supported, multi-scene requirements are met, and reliable support is provided for atmosphere refined and real-time monitoring.

This application discloses an atmospheric layer identification and extraction method, apparatus, device, and medium, applied to a pre-set hyperspectral lidar, relating to the field of atmospheric remote sensing technology. The method includes: preprocessing the detection signal from the pre-set hyperspectral lidar to calculate the corresponding atmospheric optical remote sensing signal based on the pre-processed lidar signal and pre-set system parameters; locating the atmospheric region using the pre-processed lidar signal and radar observation data to obtain a region location result; detecting multi-layer atmospheric features based on the region location result and the atmospheric optical remote sensing signal, and verifying and detecting the continuity of the detected multi-layer atmospheric feature matrix to obtain a target feature matrix; and determining the target atmospheric aerosol features and atmospheric cloud layer features based on the target feature matrix. Therefore, the atmospheric optical remote sensing signal detected by the hyperspectral channel of the hyperspectral lidar can be used for aerosol and cloud layer identification.

The invention relates to a laser atmospheric transmission efficient simulation method based on quantum computing, and belongs to the crossing field of quantum computing and atmospheric optics. Under the paraxial approximation condition, the transmission process of laser in atmospheric turbulence is mapped into a quantum calculation framework, and efficient simulation is achieved through a quantum circuit and a quantum algorithm. The method specifically comprises the following steps: determining the number of required quantum bits, and initializing a quantum wave function of a light field; generating a phase screen according to the atmospheric turbulence model, and loading phase modulation into a quantum state; quantum Fourier transform is executed, and a spatial domain is converted into a frequency domain; applying a transfer function to simulate propagation of light in a free space; returning to a spatial domain through inverse quantum Fourier transform; and repeating the process to simulate multi-phase screen transmission, and finally obtaining the intensity distribution of the light field. According to the method, the simulation efficiency and precision are greatly improved, and the method is suitable for high-precision and large-scale laser transmission simulation requirements and has a wide application prospect.

The present invention provides a method and device for spatially continuous visibility prediction based on multi-modal data analysis. The method includes: obtaining multi-modal observation data of a target area, performing image feature encoding on the image observation data therein to generate atmospheric optical thickness parameters, and performing path feature encoding on the lidar scan data therein to generate extinction coefficient distribution parameters; inputting the atmospheric optical thickness parameters and the extinction coefficient distribution parameters into a multi-modal fusion model to perform horizontal optical thickness correction on the atmospheric optical thickness parameters to generate horizontal optical thickness correction parameters, and performing spatial continuity fusion on the horizontal optical thickness correction parameters and the extinction coefficient distribution parameters to generate the spatial continuous visibility distribution characteristics of the target area, and then converting the spatial continuous visibility distribution characteristics into a visibility prediction result in the polar coordinate system, and outputting a coordinate distribution map of the visibility prediction result. By means of the present invention, the accuracy of visibility prediction can be improved.

The application discloses a kind of methods and devices for constructing wide-area environmental optical turbulence probability prediction model, the method includes S1, obtains ball-borne turbulence detection historical experimental data, obtains meteorological parameter profile and atmospheric optical turbulence profile;S2, the product of meteorological parameter gradient quantity is calculated according to the meteorological parameter profile corresponding to historical experimental data;S3, the model coefficient profile is calculated using the product of atmospheric optical turbulence profile and meteorological parameter gradient quantity, and the model coefficient profile library of atmospheric optical turbulence of typical region is calculated and obtained accordingly;S4, optical turbulence model coefficient probability density distribution is calculated according to the model coefficient profile library of atmospheric optical turbulence of typical region;S5, optical turbulence probability prediction model is constructed according to optical turbulence model coefficient probability density distribution.The application makes up the limitation of existing optical turbulence detection technology and mode and the problem that optical turbulence empirical mode (average mode) based on limited turbulence detection test data is not applicable in many application scenarios.

The invention discloses an atmosphere layer identification and extraction method, device and equipment and a medium, is applied to a preset hyperspectral laser radar, and relates to the technical field of atmosphere remote sensing. Calculating a corresponding atmospheric optical remote sensing signal according to the obtained preprocessed radar signal and preset system parameters; performing atmospheric area location through the preprocessed radar signal and the observation data of the radar to obtain an area location result; carrying out atmospheric layer multi-level feature detection based on the region positioning result and the atmospheric optical remote sensing signal, and carrying out verification and continuous detection on a to-be-verified atmospheric layer multi-level feature matrix obtained through detection to obtain a target feature matrix; and according to the target feature matrix, determining a target atmosphere aerosol feature and an atmosphere cloud layer feature. Therefore, the atmospheric optical remote sensing signal detected by the hyperspectral channel of the hyperspectral laser radar can be used for carrying out aerosol and cloud level identification.

The application discloses an atmospheric coherence length measurement self-adaptive pointing tracking method and system, belongs to the technical field of atmospheric optical measurement instruments, and solves the technical problems of low recognition and alignment efficiency, weak self-adaptive adaptation capability, insufficient anti-interference performance and poor system cooperation in the prior art. A star camera is used to collect a starry sky area image of a target star area; after the image is analyzed and a celestial body measurement parameter is obtained, a turntable is finely adjusted so that the target star is on a target surface of a main mirror camera; exposure time and gain of the main mirror camera are adjusted; two light spots of the target star are automatically adjusted to be centered on a field center of the main mirror camera; a target star image is collected; an atmospheric coherence length value is calculated in real time; whether the atmospheric coherence length value is empty or an abnormal value is determined at a fixed interval; if yes, the turntable automatically points to a next target star; and if not, an atmospheric coherence length measurement task is continuously executed. The application is used for realizing fast alignment and stable tracking of a beacon light source in a weak light environment at night.

The invention relates to the technical field of atmospheric turbulence measurement, in particular to an image acquisition system applied to atmospheric turbulence measurement and an atmospheric turbulence measurement method. The non-redundant interference mask multi-baseline interference imaging near-surface turbulence measurement device can realize all-weather measurement of near-surface layer turbulence, a traditional atmospheric turbulence monitoring device can only perform monitoring in a specific time period or under a specific condition, and the non-redundant interference mask multi-baseline interference imaging near-surface turbulence measurement device adopts a self-carried light source and an all-weather available optical system. All-time and all-weather atmosphere turbulence parameter monitoring is achieved, and more continuous and reliable data support is provided for near-ground layer turbulence, especially for obtaining multiple atmosphere optical turbulence characteristic parameters such as seeing, power spectral density and turbulence direction at the same time, and especially for observation of the interior of a telescope dome. The technical problem that an existing measurement system is difficult to accurately acquire an image used for calculating the atmospheric turbulence parameter, so that the atmospheric turbulence parameter of a near-surface layer is difficult to accurately measure is solved.

The invention discloses an infinite time sequence laser atmospheric transmission simulation method, and belongs to the technical field of laser communication and atmospheric optical simulation. The method comprises the following steps: firstly, extracting ERA5 meteorological data, and constructing a non-uniform atmospheric turbulence profile; determining a phase screen spacing according to system parameters, and pre-generating each layer of initial phase screen and a prediction and update matrix for recursion; in a transmission link, Fresnel diffraction is calculated layer by layer by using a GPU accelerated step-by-step Fourier transmission method; in a time sequence evolution link, a traditional freezing turbulence ultra-large phase screen mode is abandoned, integer pixel updating and sub-pixel interpolation correction are carried out on phase screen displacement according to the transverse wind speed of each space layer, new phase data are generated in a recursive mode on the wind inlet side, external phase data of a grid are deleted, and continuous time sequence evolution of the phase screen is achieved on the grid with the fixed size. According to the invention, high-precision long-time-sequence laser transmission dynamic simulation at any place is realized under relatively low hardware overhead.

The invention discloses an adaptive directional tracking method and system for atmospheric coherent length measurement, belongs to the technical field of atmospheric optical measurement instruments, and solves the technical problems of low recognition and alignment efficiency, weak adaptive capability, insufficient anti-interference performance and poor system collaboration in the prior art. Collecting a starry sky area image of the target fixed star area by using a star guide camera; analyzing the image to obtain a celestial body measurement parameter, then finely adjusting the rotary table to enable the target star to be on the target surface of the primary mirror camera, adjusting the exposure time and gain of the primary mirror camera, and automatically adjusting two light spots of the target star to be centered at the view field center of the primary mirror camera; collecting a target fixed star image, and calculating an atmospheric coherence length value in real time; and judging whether null values and abnormal values appear in the atmospheric coherence length numerical values at fixed time intervals, if so, automatically pointing to the next target fixed star by the turntable, and if not, continuing to execute the atmospheric coherence length measurement task. The method is used for realizing rapid alignment and stable tracking of the beacon light source in the night weak light environment.

The invention discloses an abnormal value self-correction laser radar measurement visibility iterative inversion method, and relates to the technical field of meteorological detection equipment, and the method comprises the steps: S1, carrying out the measurement of atmospheric optical characteristics through a laser radar, and obtaining the measurement data of the laser radar; s2, performing dark count correction on the group of data; s3, partitioning the group of data by using an innovative method, automatically eliminating abnormal values, and adaptively filling proper echo signal values; s4, utilizing a slope method to obtain an extinction coefficient; s5, substituting the extinction coefficient obtained by the slope method in S4 into a Klett formula for iteration, and stopping iteration until a difference value between a certain result and a corresponding iteration initial value is smaller than a set threshold value; and S6, calculating the atmospheric visibility according to the relation between the extinction coefficient and the visibility. The method has the advantages that the phenomenon that the visibility is abnormally reduced due to abnormal data caused by smoke dust, agglomerate fog or hard objects on a detection path can be avoided, and the like.