172 results about "Zenith" patented technology

Disclosed is a time series InSAR tropospheric delay correction method for relieving atmospheric seasonal oscillation, so as to relieve the seasonal oscillation deviation caused by tropospheric delay. This method is based on the temporal and spatial characteristics of atmospheric delay. Firstly, based on the ERA-5 atmospheric grid data covering the study area, the ZTD negative exponential vertical profile function model is established. Fourier series function is introduced to establish the time series model for β and ZTDr, Finally, according to the radar incidence angle parameters, the delay is changed from zenith direction to radar line of sight direction.

Systems and methods are described for calibrating an imaging or LIDAR based gas monitoring system for efficiently scanning for gas plumes. In an example, a calibration workflow that improves the accuracy of transformations from observed points in a particular camera frame to a coordinate system that is fixed with respect to the ground, such as a set of latitude, longitude, and height values; or a spherical polar coordinate system centered at the camera where the zenith is perpendicular to the ground.

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 relates to the technical field of satellite navigation and positioning, in particular to a zenith troposphere wet delay calculation method based on deep learning, and the basic steps of segmented ZWD multi-source data fusion based on an improved Transform model are as follows: establishing a ZTD model, establishing a TCA-Transform model, and fusing data. The task of establishing the ZTD model is to calculate the atmospheric refractive index according to meteorological data so as to obtain ZTDPP; the TCA-Transform model establishment comprises the following steps of: improving a Transform model by using a domain self-adaptive method; according to the data fusion, the ZWDPP and the ZWDMODIS are fused by using a TCA-Transform model. And finally, a ZWD product with high temporal-spatial resolution and high precision can be obtained. The generalization ability of an original Transform model is improved, so that the troposphere delay correction ability in a specific area is improved, and a zenith troposphere delay (ZWD) product with high resolution and high precision is obtained.

The invention relates to a polarization three-dimensional reconstruction method for solving zenith angle based on mixed reflected light. The method comprises the following steps: obtaining polarization images of a target in four directions of 0 degree, 45 degrees, 90 degrees and 135 degrees; respectively calculating the polarization degrees of the polarization images; obtaining a hybrid model of target surface reflected light, solving a zenith angle and an azimuth angle of the target, and obtaining a normal vector field of the target; based on the normal vector field of the target, the Frankot-Chellappa algorithm is used for integrating the normal vector field to obtain the three-dimensional depth map of the target, the method is suitable for outdoor natural light conditions, especially for three-dimensional reconstruction of offshore and long-distance targets, the limitation of a traditional method in a severe environment is overcome, and through efficient processing of the multi-angle polarization image, the depth map of the target is obtained. Dependence on a single light source and strict experiment conditions is reduced, and higher operation convenience and engineering practical value are achieved.

The invention belongs to the technical field of remote sensing application, and provides a grassland biomass inversion method based on a radiation transfer model and machine learning, and the method comprises the following steps: obtaining and processing remote sensing data, DEM data and actually measured biomass data of a target region; performing terrain correction by adopting an SCS + C method; performing global sensitivity analysis on input parameters in the PROSAIL model, and calibrating the input parameters according to the global sensitivity analysis; introducing topographic factors into the model, and correcting the solar zenith angle and the observation zenith angle; generating simulated canopy reflectivity data by using the model, and constructing a data set; constructing a lookup table LUT by combining the simulated canopy reflectivity data and the above-ground biomass data, and performing machine learning modeling according to the canopy spectral data set; and verifying the inversion precision, and outputting a grassland above-ground biomass spatial distribution map. According to the inversion method, terrain factors are introduced on the basis of a traditional model, and the adaptability and estimation precision of the model to a complex terrain area are improved by combining a machine learning method.

The invention relates to a sun meridian detection and course angle real-time calculation method based on polarized light field vector characteristics, and aims to solve the problems that a traditional sun meridian detection method is easily interfered in low signal-to-noise ratio scenes such as haze and cloud layer shielding, lens distortion causes polarization angle errors, the false detection rate is high, and the calculation accuracy is high. In order to solve the problems that the real-time performance and robustness of course calculation are affected due to the fact that single polarization angle information is difficult to fully reflect the sun direction, polarization parameter calculation is carried out by utilizing a multi-channel polarization image, and the sun meridian is detected by adopting Hough transform through fisheye lens correction, bilateral filtering and candidate region screening, so that the real-time performance and robustness of course calculation are improved. And a multi-point inversion method is combined to accurately obtain a sun vector and a zenith angle and an azimuth angle thereof, and finally a course angle is calculated in real time. The problems of imaging distortion and insufficient real-time processing in the traditional sun positioning technology can be effectively solved, and a powerful navigation positioning technical guarantee is provided for the fields of unmanned aerial vehicles, autonomous navigation, polarized light navigation and the like.

The invention discloses an atmospheric delay correction method based on three-dimensional ray tracing. The method comprises the following steps: obtaining an incident angle of laser on an atmosphere top by using a position vector of the laser atmosphere top and a unit incident vector of a first layer of laser; layering the atmosphere; the atmospheric refractive index of the actual track is calculated hierarchically, and the actual track of the laser passing through the atmosphere is calculated hierarchically until the laser reaches the ground, so that the position coordinates of the laser spot on the ground are obtained; calculating a track of laser passing through the atmosphere under theoretical conditions; and by using the obtained atmospheric refractive index and the actual laser track, subtracting the theoretical distance from the atmospheric refractive index integral along the actual laser track to obtain the atmospheric delay. For a satellite-borne laser radar system under the condition of a large incident angle, a large error can be generated when the atmospheric delay is calculated by adopting the relation between a mapping function and zenith delay, and the method can accurately calculate the light track and the atmospheric refractive index in the process that laser passes through the atmospheric layer, so that higher calculation precision can be obtained, and high-precision atmospheric delay correction can be provided.

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 invention discloses an engineering calculation method and device for back irradiance of a high-precision double-sided photovoltaic module. The calculation method comprises the following steps: (1) inputting related parameter information of a photovoltaic power station; (2) the array is simplified into a two-dimensional diagram, and the sun position including the zenith angle and the azimuth angle is calculated; (3) calculating the ground shadow condition according to the geometric information of the component and the sun position; (4) calculating a sky view angle factor between rows which can be seen by each ground section according to the geometric parameters of the array; calculating an incident angle according to the dip angle, the component azimuth, the solar azimuth and the zenith angle; using a Perez model to decompose the input horizontal direct radiation irradiance and horizontal diffusion irradiance into a direct radiation part, an isotropic diffusion part, an annular solar region diffusion part, a horizon line scattering part and a ground reflection part; using a Perez model to calculate the diffused irradiance of the inclined plane; and (5) calculating the back irradiance after all the steps are completed. According to the method, a three-dimensional scene is simplified into a two-dimensional scene, a View Factor method, back shadow analysis and a sky view angle factor algorithm are simplified, the irradiance received by the ground is accurately considered, and the irradiance received by the back is calculated by using angle-by-angle incidence loss, so that the accuracy is not lacked, and the operation efficiency is high.

The invention provides a novel GNSS-IR elevation angle deviation correction method and system, and relates to the technical field of data processing, and the method comprises the steps: building a novel elevation angle deviation correction method taking electron density as a reference through a refraction angle relation; generating an SNR file, wherein the SNR file contains pseudo-random noise codes, azimuth angles, elevation angles and S1C observation value data of about 15000 epochs in one day; acquiring a satellite zenith distance and a position of an ionosphere puncture point by using a Krounberg model, and inputting the satellite zenith distance and the position of the ionosphere puncture point into a Nequick-G model to calculate and obtain electron density; the electron density and the satellite zenith distance are used as input parameters to be input into the novel elevation angle deviation correction method to obtain angle errors, the elevation angle is corrected, and the sea surface height is calculated according to the corrected elevation angle. The precision and reliability of sea surface height measurement are improved.

A GNSS-TEC projection function estimation method with additional azimuth angle parameters comprises the following steps: obtaining observation data of a plurality of GNSS monitoring stations, and then extracting STEC from the observation data; the IPP point position with the satellite elevation angle larger than 70 degrees and the IPP point position with the satellite elevation angle smaller than 40 degrees are obtained respectively, and then satellites with the satellite elevation angle larger than 70 degrees and satellites with the satellite elevation angle smaller than 40 degrees located at the same IPP point position at the same moment are matched; projecting the STEC of the IPP point position of which the satellite elevation angle is greater than 70 degrees to the zenith direction to obtain a VTEC, and then calculating the STEC projection function value MFV of the IPP point position of which the satellite elevation angle is less than 40 degrees according to the corresponding VTEC; and obtaining an ionosphere projection conversion model, and solving to obtain a to-be-estimated coefficient of the projection function model of the additional azimuth angle parameter. According to the method, the TEC projection conversion error of the ionized layer is relatively small under the condition of a low satellite elevation angle.

The invention belongs to the technical field of navigation positioning, and discloses an offshore positioning method based on fusion of a numerical meteorological model and a Beidou short message, so as to realize offshore second-level continuous high-precision positioning by using single Beidou short message equipment. According to the offshore positioning method based on fusion of the numerical meteorological model and the Beidou short message, a CNES real-time satellite orbit and clock error data are adopted, NWP model meteorological data are utilized to invert zenith troposphere delay, and a time baseline method considering NWP improvement is utilized to weaken time accumulation errors and improve time baseline positioning performance; and then, based on the improved time baseline offshore high-precision positioning method, the PPP and Beidou short message communication technologies are combined, so that the BDS / GNSS offshore high-precision positioning navigation target can be realized by utilizing a single Beidou short message device, and the high-precision positioning cost is saved.

The invention discloses a foundation space ionosphere and troposphere integrated joint detection method and device, and belongs to the technical field of satellite navigation, and the method comprises the steps: detecting the vertical total electron content of an ionosphere: extracting the inclined total electron content of the ionosphere at an ionosphere puncture point, and converting the inclined total electron content into the vertical total electron content of the ionosphere; detecting a foundation Beidou ionosphere disturbance index; and detecting an ionosphere phase scintillation index, a troposphere zenith total delay, a troposphere precipitable amount and an ionosphere amplitude scintillation index, and outputting ground-based Beidou space ionosphere and troposphere integrated joint detection parameters. The method effectively improves the reliability, robustness and meteorological perception capability of a navigation positioning system in a complex atmospheric environment, and is especially suitable for special environmental conditions such as severe convection weather, typhoon landing, violent disturbance of an ionized layer and the like.

The invention discloses an implementation method of a troposphere zenith static delay correction model, which comprises the following steps of: calculating approximate truth values of zenith static delay, zenith wet delay and zenith total delay based on high-altitude meteorological observation data of a radiosonde, and respectively recording the approximate truth values as ZHD, ZWD and ZTD; calculating zenith static delay and zenith wet delay by adopting a GTrop model, and respectively recording the zenith static delay and the zenith wet delay as ZHDGTrop and ZWDGTrop; constructing an NNSZHD model by taking the ZTD, the ZHDGTrop and the ZWDGtrop as input variables of a neural network input layer and taking the ZHD as an output variable of a neural network output layer; and taking the obtained ZTD, ZHD, ZHDGTrop and ZWDGTrop as a sample set, training an NNSZHD model, and storing an optimal model for forecasting. The obtained ZHD empirical model has high precision and good applicability.

The invention discloses a troposphere error correction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of meteorological parameter data of front and back grid points closest to an observation station; obtaining the numerical value of each meteorological parameter of the observation station; obtaining zenith dry delay and zenith wet delay at the observation station; constructing a deep learning model; obtaining a dry delay residual error of the troposphere and a wet delay residual error of the troposphere corresponding to the observation station; and obtaining the corrected dry delay and wet delay of the troposphere corresponding to the observation station. According to the method, the numerical value of each meteorological parameter of the observation station is obtained by using the plurality of meteorological parameters of the grid points, so that the relatively accurate meteorological parameter value of the observation station is obtained, the dry delay residual error of the troposphere and the wet delay residual error of the troposphere are obtained through the deep learning model, and finally the dry delay and the wet delay after the residual error compensation and correction are obtained; therefore, troposphere delay is corrected, errors are reduced, and signal precision is improved.

The invention relates to a carrier three-dimensional attitude determination method based on night polarized light field double-vector characteristics, which comprises the following steps: acquiring night sky polarized light field information, and acquiring an image plane coordinate system neutral point coordinate and a moon coordinate based on polarization distribution mode neutral surface characteristics; based on an imaging model, inversely solving a polarization neutral point vector and a moon vector under a carrier coordinate system, and further calculating a carrier system neutral surface normal vector; obtaining a moon vector under the navigation system according to the time information and the geographic position information, and calculating to obtain a normal vector vector of a neutral surface of the navigation system by using a zenith direction vector; constructing an orthogonal coordinate system by using the corresponding moon vector and the normal vector in the carrier system and the navigation system respectively; and calculating an attitude conversion matrix based on the two orthogonal coordinate systems so as to obtain a conversion relation between the carrier system and the navigation system and obtain a three-dimensional attitude angle. According to the invention, autonomous attitude determination based on the sky polarized light field under the condition of no external input is realized, an external error source is removed, and autonomy is improved.

The invention relates to the field of marine meteorological monitoring, and discloses a GNSS-based offshore troposphere atmospheric parameter profile inversion method, which comprises the following steps of: obtaining actual observation values of total troposphere zenith delay, dry delay and wet delay; obtaining troposphere atmospheric parameter profile statistical characteristics through clustering analysis; data points related to temperature, water vapor pressure and air pressure are constructed by utilizing troposphere atmospheric parameter profile statistical characteristics, and theoretical values of zenith total delay, dry delay and wet delay corresponding to the data points are calculated through forward modeling; and selecting one or more of total troposphere zenith delay, dry delay and wet delay, utilizing an optimization algorithm to invert a troposphere atmospheric parameter profile, performing iteration to obtain an optimal data point, performing data quality control on the temperature, the water vapor pressure, the air pressure and the atmospheric refractive index corresponding to the optimal data point, and outputting the temperature, the water vapor pressure, the air pressure and the atmospheric refractive index. The method disclosed by the invention is low in equipment installation and maintenance cost, is suitable for an offshore observation platform, is reliable in inversion result, and can provide support for offshore troposphere atmosphere research.

The invention provides a troposphere delay correction method and system, electronic equipment and a storage medium, and the method comprises the steps: extracting troposphere delay of a reference station through a non-difference combination observation value method according to the obtained real-time reference station observation data, broadcast ephemeris, ultra-fast orbit and clock correction, carrying out the adjustment of observation values of a plurality of satellites, and carrying out the adjustment of the observation values of a plurality of satellites; the zenith troposphere delay of the base station is obtained; the zenith troposphere level of the base station after normalization processing is interpolated to the position of the moving station through an inverse distance weighted interpolation method, zenith troposphere delay of the moving station is obtained according to a pre-constructed elevation normalization model, and the elevation normalization model is constructed based on ERA5 horizontal atmospheric layer meteorological data. According to the method, the adaptability of the model to complex terrains can be improved, so that the model precision is improved, the precision single-point positioning convergence time of the moving station is effectively shortened, and the precision single-point positioning precision is improved.

The invention discloses a navigation method based on underwater polarized light detection, which belongs to the technical field of navigation, is used for underwater navigation, and comprises the following steps: collecting polarization images by a polarization camera, calculating a polarization angle by combining with a single scattering model, and outputting a pitch angle and an azimuth angle of the polarization camera by a three-dimensional electronic compass; the polarization angle and the position of the polarization camera are input into a sun position resolving module together for processing, a sun azimuth angle and a sun zenith angle are obtained, and then latitude and longitude are output through a latitude and longitude resolving module. Underwater navigation is realized by combining polarized light, and longitude and latitude errors of navigation are respectively 0.17609 degrees and 0.24156 degrees by combining the result of the embodiment, so that a novel underwater navigation method is successfully realized.

The present invention is capable of accurately estimating the density of an object by measuring cosmic rays that are transmitted through the object. A spectrum acquiring unit acquires a first energy spectrum of first cosmic rays that arrive at a predetermined zenith angle without being transmitted through an object, and acquires a second energy spectrum on the basis of a measurement result of second cosmic rays that arrive at the predetermined zenith angle after being transmitted through the object. A spectrum comparison unit compares the first and second energy spectra to analyze the energy loss of the second cosmic rays due to the transmission through the object. An estimating unit calculates, on the basis of the energy loss analysis result, the amount of matter on a path through the object along which the second cosmic rays were transmitted, and calculates an estimated value of the density of the object by dividing the amount of matter by the length of the path.

The invention relates to the technical field of atmospheric parameter inversion models, provides an atmospheric model construction method and system based on virtual temperature correction, and solves the problem of insufficient dynamic scene adaptability. The method comprises the following steps: acquiring a radiation brightness observation value of a satellite thermal infrared band, synchronously recording a satellite observation zenith angle and an azimuth angle, and collecting earth surface coverage type data, dew point temperature and corresponding height information; and uplink and downlink radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a specific emissivity mapping relation is constructed in combination with a land surface coverage type, and land surface specific emissivity space distribution is inverted. And generating vertical stratified atmosphere data based on the dew point temperature and height, and constructing radiation transmission path correction parameters in combination with the observation angle. And finally, establishing an atmospheric radiation transmission model, and outputting a continuous spatialization virtual temperature field. According to the method, the problem of insufficient dynamic scene adaptability in the prior art is solved, and high-precision inversion of the atmosphere deficiency temperature vertical section is realized.

The present invention belongs to the technical field of DNI data processing, and specifically relates to a method for obtaining accurate DNI data for a tower mirror field. The method comprises: S1: quality judgment of direct radiation data: obtaining extraterrestrial normal direct radiation, normal direct radiation on the earth's surface, total horizontal global radiation on the earth's surface, and scattered horizontal radiation on the earth's surface from a meteorological station, and calculating the direct beam transmittance, effective global horizontal transmittance, and effective scattered horizontal transmittance in combination with the solar zenith angle; dividing the direct radiation DNI into three levels based on the direct beam transmittance, effective global horizontal transmittance, and effective scattered horizontal transmittance; S2: obtaining accurate DNI data according to the classification of direct radiation DNI. The method provided by the present invention can obtain accurate DNI data, and provide help for more accurately determining the number of heliostat projections and calculating more accurate thermal energy.

The invention discloses a target surface normal reconstruction method and device based on physical constraints, and belongs to the technical field of three-dimensional target reconstruction. The method comprises the steps of calculating target surface polarization characteristics based on test data of a polarization imaging measurement device; establishing an equation set of the relationship between the target surface normal and the depth; constructing zenith angle constraints based on the luminous flux idea, and correcting the relationship between the target surface normal and the depth by using the zenith angle constraints; constructing a loss function about depth by utilizing convexity prior constraint, and constraining the corrected equation set by utilizing the loss function; and solving the corrected equation set constrained by the loss function by using the target surface polarization characteristics to obtain zenith angle and depth estimation, and determining final target surface normal distribution by using the obtained zenith angle and depth estimation. According to the invention, more accurate normal distribution of the target surface can be obtained.

The present invention discloses a high-precision engineering calculation method and device for the back irradiance of a bifacial photovoltaic module, wherein the calculation method comprises the following steps: (1) inputting relevant parameter information of a photovoltaic power station; (2) simplifying the array into a two-dimensional diagram and calculating the sun position, including the zenith angle and azimuth angle; (3) calculating the ground shadow situation according to the module geometric information and the sun position; (4) calculating the sky viewing factor between rows that can be seen by each ground segment according to the array geometric parameters; calculating the incident angle according to the inclination angle, the module azimuth angle, the solar azimuth angle, and the zenith angle; using the Perez model to decompose the input horizontal direct irradiance and horizontal diffuse irradiance into direct, isotropic diffuse, circumsolar diffuse part, horizon scattering part, and ground reflection part; using the Perez model to calculate the inclined surface diffuse irradiance; (5) calculating the back irradiance after all the above steps are completed. This method simplifies the three-dimensional scene into two dimensions, and simplifies the View Factor method, back shadow analysis, sky view factor algorithm, accurately considers the irradiance received by the ground, and uses the angle-by-angle incidence loss to calculate the irradiance received by the back. It has both high accuracy and high efficiency.

The invention provides a GNSS global ZTD correction method and device considering anisotropy, and the method comprises the steps: dividing the whole world into regular windows with the same size according to a mesh generation algorithm, and obtaining a correction model training sample through a Panguu-Weather numerical weather forecast system; constructing a zenith troposphere delay correction model taking anisotropy into consideration by adopting a BP neural network, taking an annual day, the height, the latitude and the longitude of the current position, the zenith troposphere delay and the height, the latitude and the longitude of the target position as input layer data, and taking the zenith troposphere delay of the target position as output layer data; based on the zenith troposphere delay correction model considering anisotropy, a user can obtain correction information of zenith troposphere delay only by providing the annual day, the height and longitude and latitude of the current position, zenith troposphere delay and the height and longitude and latitude of the target position and retrieving the corresponding model, and the precision of GNSS meteorological monitoring and environment monitoring is improved.

The present invention discloses a method, device and storage medium for calibrating the magnitude of a full-field instrument. The method is as follows: taking a star map, detecting and clustering the entire field of view to obtain a large number of bright spots; extracting observed stars, performing photometry and positioning on all bright spots to obtain the position, gray scale, uncertainty and zenith angle; matching the observed stars with a star catalog, and after successful matching, recording the following information, including the stellar magnitude, position, gray scale and uncertainty corresponding to the observed stars; dividing the full field of view into regions, counting all the stars that have been successfully matched in all frames within the region, fitting them by weighted least squares, and recording the zero points of the instrument magnitude obtained in different regions; performing polynomial interpolation on the zero points of the instrument magnitude in different regions of the full field of view to obtain the zero point correction at different fields of view; repeating the above steps at different time periods to obtain an accurate correction method for the on-orbit instrument magnitude of the full time period. The present invention can calibrate the on-orbit instrument magnitude of optoelectronic devices.

This invention discloses a polarization orientation method based on the antisymmetry of the atmospheric polarization pattern. First, a UNet convolutional neural network is used to perform binary segmentation on the polarization image of the sky acquired by a polarization camera to obtain a de-obstructed polarization image of the sky. The separated sky is then divided into multiple circular rings centered at the zenith, and the corresponding positive and negative feature points within each ring are obtained. The antisymmetry of the atmospheric polarization pattern is used to fit the solar meridian, ultimately completing the calculation of the heading angle. This invention solves the problem of traditional polarization orientation methods failing due to complex weather conditions, especially large-scale obstructions, and effectively improves the robustness of polarization orientation methods under complex weather conditions.

The invention provides a telescope tracking blind area detection method, device and equipment. The telescope tracking blind area detection method comprises the following steps: acquiring orbit parameters of a space target at a target orbit height; according to the track parameters, first track data of a telescope passing zenith at the target track height is generated, and the first track data is used for guiding the telescope to track; acquiring second trajectory data generated when the telescope tracks the first trajectory data, wherein the second trajectory data is actually measured for the telescope; and determining a tracking blind area of the telescope at the target orbit height according to error data between the first trajectory data and the second trajectory data. The method is simple and easy to implement, can be widely applied to actual detection of the size of the tracking blind area of the horizon telescope, and carries out comprehensive coverage detection on the height of each track.

The present application provides a precise photogrammetric control measurement method, device and system. The method includes: obtaining the control point coordinates of a plurality of control points arranged in the surrounding area of the object to be measured; a plurality of measured points are arranged on the object to be measured; by using a first total station instrument installed at a first measurement station, obtaining the first positional relationship between the first total station instrument and the control points, and obtaining the second positional relationship between the first total station instrument and the measured points; the first positional relationship includes the first distance, the first horizontal angle and the first zenith distance between the first total station instrument and the control points, and the second positional relationship includes the second distance, the second horizontal angle and the second zenith distance between the first total station instrument and the measured points; according to the control point coordinates of the control points, the first positional relationship and the second positional relationship, obtaining the measured point coordinates of the measured points, and determining the contour of the object to be measured according to the measured point coordinates. The method of the present application can accurately measure the coordinates of the measured points of the object to be measured.