69 results about "Zenith" patented technology

The invention belongs to the crossing field of space geodetics, satellite navigation positioning technology and atmospheric science, and discloses a real-time troposphere delay modeling method for enhancing a global forecasting system. The method comprises the following specific steps: firstly, acquiring zenith fluid static delay and zenith wet delay predicted by earth surface GFS, and constructing a regional grid difference time sequence by taking a fusion result of ERA5 data and a GNSS troposphere delay product as a reference; secondly, fitting the difference to form a GFS enhanced core model; meanwhile, a troposphere delay correction model from the grid height to the target site height is constructed based on ERA5 stratified atmosphere data, time sequence modeling is carried out on model coefficients, and finally refined troposphere delay output at different heights is achieved. The method has the advantages that (1) the real-time troposphere model is high in precision; (2) real-time application can keep robust performance without depending on a GNSS network; (3) expansion and deployment are facilitated; and (4) the real-time performance is strong, and seamless integration precision positioning application can be realized.

The application discloses a kind of floating offshore solar radiation measurement data correction method and system, it includes the following steps: obtaining the pitch angle and roll angle of floating offshore solar radiation measurement system;Obtain the unit normal vector of the measuring plane pointing to the sky in the horizontal plane rectangular coordinate system;Calculate the angle between the measuring plane and the horizontal plane;Get horizontal plane solar zenith angle and azimuth angle;Construct the unit vector along the direction of sunlight incidence pointing to the sun;Correct the zenith angle;Calculate the horizontal plane scattered irradiance value;The horizontal plane total irradiance saved by floating offshore solar radiation measurement system is corrected, and the corrected horizontal plane total irradiance is obtained.The measurement data of the floating offshore solar radiation measurement system is corrected by the application, the measurement error caused by the inclination of the measurement platform caused by wind and wave is reduced, and more accurate measurement data is provided for the evaluation of offshore light resources and the planning of offshore photovoltaic power station.

This invention provides a method, apparatus, electronic device, and storage medium for calculating cloud judgment parameters. The method includes: determining the satellite position vector, solar vector, and satellite attitude matrix in the cloud judgment time inertial frame based on the time interval between the current time and the cloud judgment time; calculating the position information of the ground imaging point corresponding to each pixel after the time interval based on the satellite payload installation information, pixel line-of-sight information, and the satellite position vector and satellite attitude matrix in the cloud judgment time inertial frame; and calculating the cloud judgment parameters for each ground imaging point based on the position information of the ground imaging point corresponding to each pixel after the time interval and the solar vector in the cloud judgment time inertial frame. The cloud judgment parameters include at least one of the following: satellite zenith angle, solar zenith angle, geographic latitude and longitude, and relative azimuth angle. This solution can provide cloud judgment parameters for the cloud judgment process of satellite payloads.

The application discloses a kind of sea fog environment multi-coating target multispectral polarization thermal imaging measuring device and method, belong to polarization detection technical field, method includes the initial polarization characteristic information of different coating target acquisition;Get the polarization characteristic information of different incident and detection zenith angle combination, the polarization characteristic information of different incident and detection azimuth angle combination;Collect polarization characteristic information under different temperature;The data collected are classified according to temperature and geometric angle, calculate stokes vector, linear polarization degree and polarization angle, analyze the polarization characteristic difference of coating target under different wave band;Utilize deep neural network to construct SIP-Net fusion network, realize the feature measurement and identification of sea surface coating target.The device includes marine environment simulation unit, lighting unit, detection unit, control and data processing unit, cooperates and is used to realize the method.The application solves the problem that the detection precision of prior art is low under complex sea surface environment, which leads to difficult target identification.

The application discloses an InSAR atmospheric delay phase correction method along a slant range direction, comprising the following steps: S1, acquiring two SAR image subsets covering a research area and acquiring two clean water vapor data; S2, performing differential interference processing on the two SAR image subsets covering the research area to acquire differential interference phases; S3, accurately calculating atmospheric delay phases by using an atmospheric delay phase correction model; and S4, accurately obtaining real deformation of the ground along a radar line-of-sight direction. The application gives the latest weight value of the zenith path delay difference of each ground pixel on the slant range direction of the ground by correcting the sampling mode of the water vapor product along the ground distance direction, finally proposes an accurate and efficient slant range phase total delay calculation method along the ground distance, further optimizes and improves the repeat orbit synthetic aperture radar differential interferometry method, so that the measurement result is more scientific and reasonable, and therefore the application has a wide application prospect in the field of repeat orbit InSAR atmospheric phase correction.

The embodiment of the invention provides a measurement error correction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring meteorological data and original data of a global satellite navigation system ground observation station; calculating the atmospheric zenith delay amount through the meteorological data and the original data of the global satellite navigation system ground observation station; and correcting a measurement error caused by atmospheric delay by using the atmospheric zenith retardation. By fusing multi-source data (ERA5 and GNSS), the atmospheric delay error in InSAR measurement is accurately calculated and corrected, so that the precision and reliability of surface deformation monitoring are remarkably improved.

The aim is to suppress the increase in resources and costs that would result from an increase in the number of satellites by reliably observing directional radio waves, which have uncertainty, using a small number of satellites. [Solution] The radio wave monitoring system includes a satellite constellation forming unit that forms a satellite constellation that flies within a pointing change range at an orbital altitude H where directional radio waves may be emitted. The satellite constellation forms a satellite formation that includes a first group of satellites that have the same azimuth angle value and have the same zenith angle difference between adjacent satellites in a tangential plane coordinate system with the monitored object 10 as the origin, at the time when the position coordinates of the monitored object 10 pass through the common range of the observation ranges of each satellite formed when the observation field of view θsat of each satellite reaches the Earth's surface.

The embodiment of the application provides a method and device for calculating data required by a lunar observation task, a specific embodiment of the method comprising: calculating a zenith angle of the earth and the sun respectively at a target time according to a first coordinate and a second coordinate obtained from ephemeris data and longitude and latitude of a target lunar surface position on the lunar surface; determining a first part of the tidal force of the target lunar surface position at the target time according to data for calculating the first part of the tidal force obtained by applying a second-order expansion formula of associated Legendre functions and a third-order expansion formula of associated Legendre functions to the zenith angle of the earth at the target time; determining a second part of the tidal force of the target lunar surface position at the target time according to data for calculating the second part of the tidal force obtained by applying the second-order expansion formula of associated Legendre functions to the zenith angle of the sun at the target time; and calculating the tidal force of the target lunar surface position at the target time according to the first part of the tidal force and the second part of the tidal force.

The embodiment of the invention provides a zenith troposphere delay prediction method, a zenith troposphere delay prediction device and electronic equipment. The method comprises the following steps: acquiring multi-source heterogeneous data; performing alignment on the multi-source heterogeneous data to obtain global grid data; according to the global grid data, zenith statics delay ZHD and zenith wet delay ZWD are modeled to obtain a ZHD long-period prediction model and a ZWD short-time prediction model; according to the global grid data, constructing a correction model which changes along with the elevation in the vertical direction; and according to the ZHD long-period prediction model, the ZWD short-time prediction model and the correction model, performing ZTD prediction on a to-be-measured station. And the prediction accuracy of the ZTD is improved, so that support is provided for improving the stability and precision of GNSS positioning.

The application discloses a star-inertial integrated outfield dynamic calibration method based on a refracting surface constraint mechanism, and relates to the technical field of calibration methods, and specifically discloses the following technical scheme: a relationship model of an observed star position and a zenith direction is established based on a refracting surface constraint mechanism and observation imaging of a star, a first zenith direction measurement model under a star sensor system corresponding to an observation time and an observation position is established based on the relationship model; a second zenith direction measurement model under an inertial navigation system of the zenith direction of a current observation position is established through a filter combination model based on real-time measurement values of angular velocity and angular acceleration of the inertial navigation system; a zenith direction integrated conversion matrix model between the inertial navigation system and the star sensor system is established by simultaneously solving the first zenith direction measurement model under the star sensor coordinate system and the second zenith direction measurement model under the inertial navigation system; and a star-inertial integrated outfield optimization calibration model is established by changing the longitude and latitude of the observation position and the observation direction for multiple times, so that star-inertial integrated outfield calibration is carried out.

The application relates to the meteorological detection technical field and provides a water vapor density determination method and device and a computer readable storage medium. The method comprises the following steps: obtaining target information of each observation device in a plurality of observation devices; the target information comprises first information and air pressure data of an air pressure sensor; determining troposphere delay of a GNSS chip according to the first information; determining zenith troposphere wet delay corresponding to the observation device according to the troposphere delay of the GNSS chip and the air pressure data; taking the product of the zenith troposphere delay and a troposphere wet delay projection function as ray path troposphere wet delay corresponding to the observation device; and determining water vapor density of a target area according to the ray path troposphere wet delay corresponding to the plurality of observation devices. Through the scheme, the cost of water vapor density determination can be reduced, and the accuracy of water vapor density determination can be improved.

The invention provides a dam GNSS deformation monitoring method and system based on a water vapor three-dimensional model, and relates to the technical field of dam safety monitoring, and the method comprises the steps: obtaining GNSS observation data of a plurality of reference stations in a monitoring region, meteorological station data, and remote sensing data containing regional terrain elevation information; then calculating a zenith total delay sequence based on GNSS observation data, and separating target zenith wet delay; then calculating water vapor content horizontal spatial distribution based on target zenith moisture delay, obtaining vertical spatial distribution in combination with regional terrain elevation information, and constructing a water vapor three-dimensional model; then, water vapor delay correction is conducted on GNSS observation data through the model, and a displacement time sequence is obtained through time sequence analysis; and finally, calculating a long-term deformation rate and identifying an abnormal deformation event, and generating a visual analysis result and a standardized report after quality control. The accuracy and reliability of dam vertical deformation monitoring are improved.

This application discloses a new generation BDSBAS time synchronization method and system based on a layer-by-layer nearest neighbor non-repetition strategy, involving satellite communication and data processing technologies. The method includes: obtaining the number of BeiDou navigation satellites observable by the main monitoring station k at the current time; using the least squares method to obtain an estimate and accuracy of the clock bias of the main monitoring station; and based on the estimate and accuracy of the clock bias of the main monitoring station, using the common-view satellite method to synchronize the clocks of other ground monitoring stations. i Time synchronization is performed between the ground-based main monitoring station k and the observable low-Earth orbit (LEO) satellites in the zenith direction using the common-view satellite method. This achieves time synchronization by calculating the time deviation between the ground-based main monitoring station k and the observable LEO satellites in the zenith direction. A layer-by-layer nearest neighbor (NNN) time synchronization strategy is employed to synchronize the LEO satellites with their respective nearest neighbors. This application solves the problem of ground-to-ground time synchronization applicable to the next-generation BDSBAS, achieving synchronization between the clocks of the entire LEO constellation and the clocks of the ground-based main monitoring station.

This application discloses a system, method, and apparatus for frequency discrimination curve calibration. Frequency locking technology is employed to stably lock the output laser frequency of the seed laser onto the absorption peak of the atomic / molecular absorption cell, effectively solving the problem of seed laser frequency drift. Simultaneously, two acousto-optic modulators are used to perform precise extracavity passive frequency modulation of the seed laser, shifting the laser frequency from the atomic / molecular absorption peak position to the preset zero-velocity frequency point and the edge frequency point of the linear operating region of the optical frequency discriminator. During calibration, the telescope is vertically pointed towards the zenith, providing atmospheric echoes with zero Doppler shift as a reference. At this time, the optical frequency discriminator measures and records the transmittance at the preset zero-velocity frequency point at the center of the linear operating region and at the edge frequency point. Based on the linear assumption of the frequency discrimination curve, a new frequency discrimination curve can be derived.

The invention discloses a cloud scene spectral radiance simulation method based on space-based observation and a related device, and relates to the technical field of spectral radiance simulation, and the method comprises the steps: obtaining simulation parameters of a cloud-containing layer, atmosphere, a position and a wave band; calculating a cloud layer optical characteristic coefficient by using a Mie scattering theory, and solving a cloud layer refraction coefficient in combination with a Kramers-Kronig relationship; based on the refraction coefficients of the atmosphere and the cloud layer, the cloud layer surface reflectivity is obtained through the Fresnel reflection law; and solving a radiation transfer equation by adopting a two-flow approximation method, enabling the non-uniform atmosphere to be equivalent to a plurality of uniform sub-layers, introducing reflectivity into the cloud sub-layer to represent the reflection contribution of the cloud sub-layer, and finally obtaining the spectral radiance at the zenith. According to the method, parameters are accurately set to adapt to various scenes, the calculation precision of optical parameters and reflectivity is ensured by means of a physical mechanism, the calculation burden is remarkably reduced through two-stream approximation, efficiency and precision are considered, and the problems that an existing method is time-consuming in calculation and large in burden on complex clouds, especially clouds with high optical thickness are effectively solved; and the spectral radiance of the cloud scene can be accurately simulated.

The application discloses a troposphere delay correction method fusing GNSS and numerical weather prediction products, comprising the following steps: when receiving a delay calculation request of a target point at a target time, determining a grid unit where the target point is located; inputting the coordinates and elevation of the target point into a fusion model constructed in the grid unit to output predicted values of zenith dry delay and zenith wet delay; for the grid unit with a GNSS site, the construction of the fusion model comprises the following steps: obtaining first delay data of the GNSS site at the target time through time extrapolation based on a sliding autoregressive model, synchronously obtaining second delay data of a numerical weather prediction product at the same target time, and aligning the first delay data and the second delay data with the target time; adopting a double dynamic weighting strategy of distance and accuracy to fuse the time-aligned first delay data and the second delay data on zenith dry delay and zenith wet delay respectively, and outputting predicted values of the target point at the target time.

The present disclosure provides an underwater point source polarized light detection device and a heading angle measurement method, which are applied to the field of polarization navigation technologies. The polarized light detection device includes a base, a rotating detection platform provided on the base, and three sets of polarized light detection modules provided on top of the rotating detection platform. The three sets of polarized light detection modules are of the same structure, each set of detection module consists of a pair of polarization analyzing channels with transmission directions perpendicular to each other, the other two sets of detection modules are positioned such that polarized light detection directions thereof are bilaterally symmetric in the same plane about a zenith polarized light detection direction and that an included angle between each of the polarized light detection directions and the zenith polarized light detection direction does not exceed 5°, and the rotating detection platform is configured to be rotatable for 360° about an axis of the zenith polarized light detection direction. The heading angle measurement method using the detection device has advantages of good adaptability to underwater environments and requiring a reduced number and types of polarization analyzing channels.

Disclosed is a method for joint estimation of stellar atmospheric refraction and star tracker attitude, including: capturing, by a star tracker, an image of stars, and recognizing the image to obtain a matching relationship between an observed star and a reference star; transforming the reference star to a terrestrial reference frame based on time and position of observation to obtain a true zenith distance of the reference star; calculating an estimated stellar atmospheric refraction based on a simplified atmospheric refraction model, the true zenith distance, and an initial atmospheric refractive coefficient, and subjecting the reference star to stellar atmospheric refraction compensation; calculating the star tracker attitude, and re-projecting the observed star to the terrestrial reference frame to calculate the observed stellar atmospheric refraction and the stellar atmospheric refraction error; if the observed stellar atmospheric refraction is misaligned with the estimated stellar atmospheric refraction, adjusting the atmospheric refractive coefficient based on the stellar atmospheric refraction error, and then recompensating the reference star and calculating the attitude, till the observed stellar atmospheric refraction is aligned with the estimated stellar atmospheric refraction, whereby joint estimation results of the stellar atmospheric refraction and the star tracker attitude are obtained. The disclosure realizes real-time, autonomous estimation and cancelation of stellar atmospheric refraction without being limited by external sensors or empirical formulae.

The invention discloses a sun tracking method based on an underwater Snell window external polarized light field, which belongs to the technical field of underwater polarized light navigation, and comprises the following steps: calculating an underwater observation vector elevation angle under a horizontal attitude according to attitude angle information; the method comprises the following steps: acquiring an underwater Snell window external polarized light image under a horizontal coordinate system, performing Stokes vector calculation on the underwater Snell window external polarized light image, and constructing an incident light coordinate system after solving a polarization angle image outside a Snell window; deducing a polarization E-vector corresponding to each pixel position under a horizontal coordinate system by using a relation between the polarization E-vector and an incident light coordinate system; according to the polarization E-vector, combining geometric constraints of the polarization E-vector and the underwater refracted sunlight vector to derive the underwater refracted sunlight vector; and according to the underwater refracted sunlight vector, calculating an atmospheric incident sunlight vector, and calculating a zenith angle and an azimuth angle of the atmospheric incident sunlight vector. According to the method, the accuracy of resolving the solar azimuth of the polarized light field outside the Fresnel window in the complex underwater environment is improved.

The invention relates to a simulation method for real-time imaging of infrared polarization characteristics of an air target. The simulation method comprises the following steps: acquiring a three-dimensional geometric model, surface parameter information and parameters of an aerosol mode of the air target; the method comprises the following steps: constructing a lookup table about temperature and radiation brightness based on a black body radiation formula, constructing a lookup table about a reflection angle and a Fresnel reflection Mueller matrix based on target surface material characteristics, constructing a lookup table about a scattering angle and a scattering Mueller matrix, and constructing a lookup table about zenith angle, azimuth angle and sky background Stokes vector according to a LibRadtran calculation result; rendering the aerial target based on the volume dissipation coefficient and each lookup table to obtain the total radiation amount from the surface of the aerial target to each pixel; and performing quantitative analysis on the total radiation amount, the polarization degree and the polarization angle from the surface of the aerial target to each pixel to obtain a visual grey-scale map. The full-link simulation method provided by the invention has the advantages of parameterization, reproducibility, expandability, small calculation amount and real-time calculation.

The invention belongs to the technical field of GNSS positioning, and discloses an atmospheric water vapor profile reconstruction method and system based on GNSS troposphere chromatography, and the method comprises the steps: carrying out the preprocessing of collected GNSS observation data, obtaining a carrier phase and a pseudo-range observation value, and obtaining the total troposphere delay ZTD; obtaining zenith troposphere dry delay ZHD based on the environmental parameters of the observation station and a Saastamoinen model, and further obtaining inclined troposphere wet delay SWD; and reconstructing a three-dimensional chromatography water vapor profile of the atmospheric refractive index field based on inclined troposphere wet delay SWD and a chromatography imaging algorithm. The GNSS observation data is received and processed in real time, the water vapor profile in the troposphere is accurately reconstructed, the distribution and transmission process of water vapor in the atmosphere can be understood, and more reliable data support is provided for the fields of weather prediction, climate research and the like.

The application belongs to the technical field of remote sensing application, and provides a grassland biomass inversion method based on a radiation transmission model and machine learning, comprising the following steps: obtaining and processing remote sensing data, DEM data and measured biomass data of a target region; performing terrain correction by adopting an SCS+C method; performing global sensitivity analysis on input parameters in a PROSAIL model, and calibrating the input parameters according to the global sensitivity analysis; introducing a terrain factor into the model, and correcting a solar zenith angle and an observation zenith angle; generating simulated canopy reflectance data by using the model, and constructing a data set; constructing a lookup table LUT by combining the simulated canopy reflectance data and aboveground biomass data, and performing machine learning modeling according to a canopy spectral data set; verifying inversion precision, and outputting a grassland aboveground biomass spatial distribution map. The inversion method introduces a terrain factor on the basis of a traditional model, and improves adaptability and estimation precision of the model to a complex terrain region by combining a machine learning method.

Relaxing requirements for Wide Area Differential Correction System (WADGPS) reference station placement [Solution] In satellite navigation systems, including the US GPS and Japan's Quasi-Zenith Satellite System, when multiple reference stations are installed to form a wide-area differential correction system (WADGPS), four or more geographically separated reference stations were previously required. However, by setting the correction amount for the navigation satellite's position error to zero, or by using a precise orbital ephemeris to determine the correction amount for the position error, and then calculating the correction amount for the clock error only, and using these correction amounts to generate correction information for the clock error and position error, or by generating correction information using estimated values ​​calculated to minimize the sum of the squares of each coordinate axis component of the position error and the clock error for the navigation satellite's clock error and position error, WADGPS can be formed even in cases where it is not possible to install four or more geographically separated reference stations.

The invention relates to a shared reference point-based high-precision contact survey method for a small-radius high-burial-depth vertical shaft, relates to the technical field of engineering survey, and aims to solve the problems that a traditional method has redundant reference points, complicated equipment and remarkable error accumulation and cannot adapt to a vertical shaft with the clearance radius of less than or equal to 8m and the burial depth of more than 300m. A sharing system of a ground datum 1 and an underground datum 2 is created for the first time, an underground datum point P is also used as a plane coordinate datum, an azimuth angle datum and an elevation datum, and multiple kinds of datum do not need to be additionally arranged; a high-precision industrial laser zenith instrument is adopted for measuring from the well bottom to the well mouth, the precision is improved by utilizing the advantages of stable well bottom environment and less cross interference, and only a laser receiving target needs to be installed at the well mouth. According to the technical scheme, the plane transmission error is smaller than or equal to + / -5mm, the azimuth angle error is smaller than or equal to + / -3 '', the elevation error is smaller than or equal to + / -3mm, compared with a traditional method, precision, efficiency and benefits are remarkably improved, and the millimeter-level connection survey precision requirement is completely met.

This application provides a method, system, and device for tropospheric error correction based on BeiDou satellite signals. The method includes: deploying multiple reference stations within a preset coverage area to receive pseudorange and carrier phase observation data from BeiDou satellites, performing gross error elimination and cycle slip detection on the observation data, and constructing an ionospheric-free combined observation equation; combining real-time precise ephemeris and satellite clock bias, calculating the total zenith tropospheric delay of each reference station using precise single-point positioning technology, and obtaining the zenith wet delay using barometric pressure data and an empirical model; further summarizing the wet delay information from multiple reference stations, and establishing a regional wet delay model by combining topographic factors such as altitude, and converting the zenith delay into a tropospheric correction in the satellite line-of-sight direction using a mapping function. This invention can achieve high-precision tropospheric error modeling and correction under high-altitude and complex terrain conditions, and is applicable to power grid inspection, transmission line monitoring, and high-precision positioning services for BeiDou terminals.

The invention provides an all-day vertical line deviation control net measurement method and equipment based on angle observation, and the method comprises the steps: selecting intervisible measurement points in a measurement region to build a vertical line deviation control net which at least comprises two measurement points with known vertical line deviation; the zenith angle and the azimuth angle in the sight line direction between the measuring point with the unknown vertical deviation and the measuring point with the known vertical deviation are observed; establishing a geometrical relationship between all measuring point vertical line deviation components with unknown vertical line deviation in the vertical line deviation control network and the observed zenith angle and azimuth angle; and adjusting and calculating the plumb line deviation of the measuring point with unknown plumb line deviation so as to realize all-day plumb line deviation control network measurement. The method has the advantages of being simple in measurement mode, high in precision, basically not affected by weather and the like, the method does not need to observe fixed stars, supports all-day measurement, does not need to obtain astronomical coordinates, and can achieve high-precision measurement only through a conventional angle measurement device.

The application discloses a kind of urban heat island concentration calculation method, device and computer equipment, the method includes: according to GNSS observation value calculation zenith troposphere wet delay;According to the zenith troposphere wet delay, the three-dimensional vertical distribution information of wet refractive index is obtained;In horizontal direction, obtain horizontal constraint information;In vertical direction, obtain vertical constraint information;According to the horizontal constraint information and the vertical constraint information, the three-dimensional vertical distribution information is solved, and wet refractive index profile is obtained;According to the relationship between the wet refractive index profile and atmospheric temperature, the urban heat island concentration is calculated.The present application is combined with horizontal constraint and vertical constraint to exclude relevant factor interference, and then based on search method, temperature and humidity pressure can be solved, and then urban heat island concentration can be accurately estimated.

The invention relates to a low orbit navigation positioning method based on GPT3 troposphere model constraint, and belongs to the field of satellite navigation. The method comprises the following steps: forming an ionosphere-free combination and establishing a corresponding observation equation by using pseudo-range and carrier phase observation values broadcasted by a low-orbit satellite; calculating a zenith troposphere delay priori value by using a GPT3 model based on the approximate position and time of the receiver; in the parameter estimator, constructing a function model based on low orbit navigation, including an ionosphere-free combination observation equation and a troposphere virtual constraint observation equation; carrying out parameter calculation, and synchronously estimating a three-dimensional coordinate, a clock error, an ambiguity parameter and a strongly constrained troposphere delay parameter of the receiver; and outputting a high-precision positioning result. By introducing the high-precision GPT3 model, more accurate and more reliable prior constraints are provided for troposphere delay parameters in a function model, so that the convergence process of parameter estimation is effectively accelerated, and the precision and stability of a final positioning result are improved.

The invention discloses an all-sky imager aerosol optical parameter inversion algorithm constructed based on machine learning, and belongs to the field of meteorological observation. According to the method, an iterative threshold segmentation method and threshold self-optimization are used, a clear sky extraction quantitative standard is established for the first time, and the problems of manual dependence and poor consistency are solved; according to the method, an equal zenith angle scanning mode is simulated, multi-dimensional feature extraction is carried out from a sky area picture, aerosol scattering information reflecting multi-angle and multi-position information related to an aerosol scattering phase function and multi-angle information of total brightness is obtained, and key support is provided for SSA inversion; according to the method, an integrated regression model is constructed by taking the multi-dimensional features as input and AOD and SSA as output, a spatial difference and time difference matching sample is set, synchronous output is realized, a sample standard is defined, and efficiency and precision are greatly improved. The method is applied to the fields of atmosphere remote sensing, climate mode research, air quality evaluation and the like.

This invention discloses a height-sensitive BeiDou-enhanced non-combined PPP ionospheric error correction method. This method utilizes high-precision coordinate values ​​and observation times obtained from multiple BeiDou multi-frequency reference stations to calculate the zenith ionospheric correction for a single reference station. Based on the ionospheric delay correction values ​​from multiple reference stations, a height-sensitive planar distance weighted interpolation method is used to calculate the ionospheric delay value of the user's rover station. The ground-based augmentation system data center broadcasts the generated ionospheric enhancement information to the user via a communication link. This invention uses augmentation stations to calculate the ionospheric delay value of each station and calculates the ionospheric delay of the user receiver using a regional model. This increases the amount of raw observations and avoids the problem of low accuracy in traditional PPP ionospheric estimation due to elevation changes, thus improving the accuracy of ionospheric delay error correction.