39 results about "Atmospheric profile" patented technology

The invention relates to the technical field of crossing of atmospheric science and machine learning, in particular to a vertical atmospheric profile fine-grained processing method, system and equipment based on a KAN network, and aims to solve the problems that an existing NWP model is insufficient in vertical resolution, poor in physical consistency, mismatched with high-resolution observation and the like. The method comprises the following steps: acquiring input data of a KAN network; performing nonlinear mapping on the input data through a B-spline function in the KAN network to obtain control point parameters and bias terms of the B-spline function; introducing a physical knowledge constraint into the KAN network, converting an atmospheric physical law into a constraint term of a loss function, and constraining the output of the KAN network; defining control point parameters and bias terms of the B spline function as training parameters of the KAN network, and training the training parameters of the KAN network in stages by adopting a predefined staged training strategy; and outputting an atmospheric variable function in a continuous height range through the trained KAN network so as to realize conversion from an NWP coarse-grained profile to a high-resolution continuous vertical profile.

The invention discloses a GNSS (Global Navigation Satellite System) single-station real-time atmosphere profile monitoring method, system and equipment, and relates to the field of GNSS atmosphere detection. The method comprises the following steps: processing observation data of a single GNSS observation station in real time, and obtaining water vapor information carried by a GNSS signal; discretizing a space region where a GNSS observation station is located, and calculating an inclined path water vapor observation value of a GNSS side signal by using a water vapor height factor model; an observation equation set of water vapor pressure parameters is established, atmospheric water vapor pressure parameter information is solved by using an optimization algorithm, and the water vapor pressure parameters are subjected to precision evaluation; building an inversion model of multiple meteorological parameters such as atmospheric specific humidity, atmospheric humidity refractive index, atmospheric water vapor density and the like based on the meteorological physical function relationship; and finally, performing external precision test on various atmospheric water vapor profiles by using the parallel sounding station meteorological data of the GNSS observation station. According to the invention, a single GNSS observation station is used to realize all-weather and high-precision inversion of a plurality of atmospheric parameter vertical profiles.

The application discloses an infrared image adaptive atmospheric correction method and device based on a radiation transmission model, and belongs to the technical field of remote sensing image radiation correction. The method first extracts the spatial range, imaging time and observation geometry parameters of an image scene, constructs a scene-based atmospheric profile grid by distance inverse ratio weighted interpolation based on a reanalysis atmospheric profile, and combines a digital elevation model and a view zenith angle to correct and apply terrain and observation geometry constraints to generate control node input parameters. Then, the atmospheric radiation transmission model is called in batches to obtain the hyperspectral results of each control node, and the transmittance and path radiance parameters of the infrared target band are extracted by spectral response function convolution. Finally, the control node parameters are reprojected to the original image coordinates, the four-neighbor-domain bilinear interpolation and nine-neighbor-domain weighted interpolation results are adaptively fused for each pixel, the full-resolution atmospheric parameter field is recovered, and the observed radiance at the ground is inversed.

The application discloses a kind of based on deep learning's full-waveband microwave radiation transmission simulation method and system, method includes: based on global reanalysis data and surface type product, obtain atmospheric profile and surface parameter, adopt near neighbor search and de-redundancy, construct representative "surface parameter-atmospheric profile" database;Using high-precision microwave radiation transmission mode, simulate and calculate the atmospheric top layer brightness temperature covering full-waveband microwave, construct training sample pair;Calculate the correlation coefficient between all output channels, and select the representative channel subset with reduced number from threshold value;Build a fully connected neural network, with the brightness temperature of the representative channel subset as the intermediate feature layer, and use a phased composite loss function strategy for training;Surface parameters and atmospheric profile are input into the trained model to obtain full-waveband brightness temperature prediction results, and / or using automatic differentiation mechanism, the trained model is used as a differentiable operator to calculate the Jacobian matrix of the output brightness temperature relative to the input parameters.

The invention discloses a shipborne marine atmospheric boundary layer refractive index profile detection system and method, and relates to the technical field of marine atmospheric environment monitoring and electromagnetic wave propagation safeguard.The method comprises the steps that sea-air downlink infrared radiation spectrum data and sea surface air temperature, relative humidity and air pressure data are obtained; constructing a background atmosphere profile by using the reanalysis data, and correcting an initial profile bottom layer by using sea surface observation air temperature, relative humidity and air pressure data to form a prior state vector; constructing an inversion cost function including an observation residual term, a background prior term and a sea surface boundary constraint term, and performing inversion to obtain an atmospheric temperature profile and a relative humidity profile; and calculating an atmospheric refractive index profile according to the temperature profile, the relative humidity profile and the air pressure profile. According to the method, the marine atmospheric refractive index profile can be continuously obtained under the shipborne dynamic observation condition, and reliable data support is provided for marine electromagnetic propagation environment analysis and waveguide diagnosis.

This application discloses a laser radar system for measuring atmospheric aerosols. The laser radar system for measuring atmospheric aerosols includes a light scattering receiving element disposed at the receiving end of a telescope in the laser radar system. The light scattering receiving element is an optical waveguide array having multiple optical waveguides with different light receiving surfaces in the light receiving direction. The light receiving surfaces have imaging receiving focal planes and fields of view corresponding to aerosol scattered light at different altitudes. The light scattering receiving element implemented in accordance with this application, when used in a laser radar system, allows laser radar signal beams scattered and returned at different distances to be focused at different focal planes and positions at the output end of the receiving telescope, allowing them to be effectively received, thereby obtaining complete atmospheric profile measurement data at different altitudes from low to high altitudes.

The present application relates to a kind of space optical infrared camera multidimensional on-orbit imaging mode construction method, belong to space optical infrared camera on-orbit application technical field.The construction method of the present application, first obtains the calibration absolute responsivity and best response linear interval of space optical infrared camera;Then obtain global ground surface temperature, global ground object emissivity and global atmospheric profile database, simulate and calculate the equivalent spectral radiance of the entrance pupil of space optical infrared camera from multiple dimensions;Again, according to the equivalent spectral radiance database of entrance pupil and calibration absolute responsivity, construct the multidimensional on-orbit imaging mode of space optical infrared camera, so that it works in the best response linear interval, obtains its on-orbit imaging mode initial value;Finally, after space optical infrared camera enters orbit, according to its early on-orbit response characteristics, the multidimensional on-orbit imaging mode is optimized.The construction method, through suitable imaging mode, the imaging capability of space optical camera is brought out, the detection capability is maximized.

The application discloses a micro-light target device and an absolute radiation calibration method for a spaceborne micro-light load, and adopts a light source which is industrialized and customized and meets corresponding conditions in terms of spectral energy stability, waveband response, light source emission energy stability, light source emission energy uniformity in each direction and light source power as a calibration light source of the target, so that the problem that the light source in the prior art has great uncertainty due to the influence of lamp temperature and the narrow spectral range cannot meet the full spectral range calibration requirement can be overcome. In addition, the application arranges multiple targets with different openings to form an absolute radiation calibration target array of the spaceborne micro-light load, so that multi-point and full waveband radiation calibration can be realized, and through the combination of the micro-light targets with different openings, the measured target radiance, the atmospheric profile and the aerosol content and other parameters, and the simulation of the entrance pupil radiance of the spaceborne micro-light load at the top of the atmosphere by means of a radiation transmission model, high-precision absolute radiation calibration of the spaceborne micro-light load with different spatial resolutions can be realized.

This application provides a method and system for correcting the brightness temperature of a spaceborne one-dimensional integrated aperture microwave radiometer. The method includes: acquiring two-dimensional observed brightness temperature data O along the vertical satellite orbit and along the satellite orbit for different ascent and descent orbits of the microwave radiometer; acquiring external data such as atmospheric profiles, surface data, and sea surface salinity along the radiation transmission path to obtain simulated Earth radiation brightness temperature data B, and removing outlier data; subtracting the observed brightness temperature data from the simulated brightness temperature data to obtain O-B data for multiple single orbits, and removing outlier data; taking the median of the O-B data to obtain the average difference in O-B brightness temperature and the two-dimensional corrected brightness temperature; dividing the average difference in O-B brightness temperature by the observed brightness temperatures in the corresponding two vertical directions to obtain two-dimensional relative brightness temperature correction coefficients based on different ascent and descent orbits; and correcting the observed brightness temperature using the two-dimensional relative brightness temperature correction coefficients or the two-dimensional corrected brightness temperature. The advantage of this application is that the established two-dimensional correction coefficients have a better correction effect.

The invention relates to a method for solving a refracted starlight path in atmosphere, and belongs to the field of celestial navigation. The method comprises the following steps: firstly, carrying out Taylor expansion on a Snell theorem by utilizing an infinitesimal thought to obtain a function of a curvature of a starlight path relative to a refractive index; then constructing a second-order differential equation of a refracted starlight path by using a Gladstone-Dale theorem and a curvature equation under a Cartesian coordinate system; and finally, carrying out numerical integration on the differential equation, and solving to obtain an expression of a refracted starlight path in the atmospheric profile. According to the method, the existing atmospheric density observation data is directly utilized, the method does not depend on an atmospheric density mathematical model, and the propagation path of the refracted starlight in the complex atmospheric environment is calculated by utilizing a numerical integration method, so that the problem of overlarge deviation from the actual working condition caused by ideal hypothesis and a simple atmospheric mathematical model is avoided. The method is especially suitable for refraction light path resolving of media with irregular refractive indexes, continuous and guidable distribution, and can improve the precision of quantity measurement and the precision of navigation and positioning in an indirect sensitive horizon navigation and positioning method.

The present invention provides a method for selecting a terahertz radiation channel for space target detection. The method calculates the atmospheric transmittance and the atmospheric background brightness temperature in the absorption band within the range of 0.1 - 10 THz according to the real-time atmospheric profile data in the observation area, and further obtains the normalized Jacobian matrix of the atmospheric background radiation brightness temperature of different pressure layers at all absorption frequencies with respect to the water vapor volume mixing ratio; the absorption frequency corresponding to the maximum value in the Jacobian matrix and with the actual height at 15 - 25 km at the bottom of the stratosphere is selected as the radiation channel. These absorption frequencies are the most sensitive to the temperature and water vapor changes at the height of 15 - 25 km. Moreover, the temperature at the bottom of the stratosphere is relatively low, the water vapor content is scarce and evenly distributed, which can keep the atmospheric background brightness temperature observed by the detector low and stable, suppress the volatility caused by geographical environment factors, improve the radiation contrast, and thus achieve the precise positioning of the target.

The application discloses a kind of based on two-dimensional radiation transmission constraint's edge atmosphere profile inversion method, system, belongs to atmospheric remote sensing inversion technical field.The present application is with edge radiation data, auxiliary profile, observation geometric parameter and along track observation sequence as input, after pre-processing, it is sent into deep neural network;Network uses time series convolution network to extract along track feature, through multi-head attention mechanism fusion multi-source information, profile estimate value is decoded and output by full connection layer;Introduce differentiable two-dimensional radiation transmission model as physical constraint, the radiation value generated by forward simulation of inversion profile is compared with observation, and constraint loss is constructed;Training uses composite loss function, fuses mean square error, gradient loss, smooth regularization and two-dimensional radiation transmission constraint loss, and the network is optimized by end-to-end gradient backpropagation.The present application significantly improves the inversion accuracy of polar vortex edge, stratospheric jet and other high gradient regions, with the advantages of strong physical consistency and good generalization ability.

The application provides a method for constructing an air-based occultation atmospheric inversion system fusing a ground-based GNSS horizontal gradient, which can construct a high-precision atmospheric horizontal gradient inversion model, establish an air-based occultation atmospheric inversion system fusing the horizontal gradient model, and eliminate the spherical symmetry assumption in air-based occultation low-layer atmospheric inversion. The method for constructing a high-precision low-layer atmospheric profile inversion system based on the fusion of the two is first proposed, so as to maximize the complementarity between them. Meanwhile, the measured air-based experimental data are used to complete the occultation atmospheric inversion based on the newly proposed method, and the results of the sounding balloon during the experiment are compared to complete the analysis and demonstration of the effectiveness of the inversion system and improvement, and finally a set of air-based occultation detection system fusing the ground-based GNSS atmospheric inversion result is constructed.

The invention discloses a microwave communication loss modeling method, system and device under an atmospheric waveguide condition and a storage medium, and the method comprises the steps: obtaining atmospheric profile data, and selecting nodes based on the atmospheric profile data to construct a graph structure; constructing an initial feature vector for each node in the graph structure, and constructing an improved graph isomorphic network according to the initial feature vectors; performing node embedding learning on the graph structure by using the improved graph isomorphic network to generate a node embedding representation set; obtaining a low-order propagation graph structure in sequence according to the node embedding representation set, and extracting node embedding representations of corresponding hierarchies; fusing the graph-level features of the graph structure and the low-order propagation graph structure, and splicing to generate a structured embedding set; based on the structured embedding set, training and prediction are carried out through a regression prediction network, a microwave communication loss value under the atmospheric waveguide condition is output, and a high-precision and high-adaptability modeling scheme is provided for microwave communication path loss estimation.

The application discloses a microwave fast radiative transfer calculation method and equipment based on a CDF / EOF atmospheric profile library, and the method comprises the following steps: constructing a CDF / EOF standardized atmospheric profile library; constructing a microwave line-by-line transmittance database, and obtaining channel equivalent transmittance by combining an instrument spectral response function; constructing a prediction factor set based on atmospheric profile parameters in the CDF / EOF standardized atmospheric profile library, and obtaining microwave fast transmittance coefficients through regression fitting; performing microwave radiative transfer calculation based on profile matching results of the CDF / EOF standardized atmospheric profile library and the microwave fast transmittance coefficients, and correcting and verifying the calculation results. The application aims to construct a CDF / EOF standardized atmospheric profile library, fit high-universality fast transmittance coefficients, realize high-precision and fast calculation of microwave radiative transfer, and thus solve the technical problems that existing profile libraries are single in coverage, poor in coefficient universality, and difficult to balance calculation precision and speed.

The present invention provides a method for estimating the precipitable water in cloud and sky atmosphere based on meteorological satellites, belonging to the technical field of meteorological satellite detection. Cloud detection is carried out using the relative humidity threshold method based on the atmospheric sounding profile, and the radiative simulation calculations of the near-infrared and thermal-infrared water vapor channels of meteorological satellites in the case of cloud and sky are carried out using the atmospheric radiative transfer model MODTRAN. The near-infrared and thermal-infrared water vapor channels can detect the precipitable water in the atmosphere above the cloud, and the numerical prediction model can provide the temperature, humidity profile distribution of the whole atmosphere and the total precipitable water in the atmosphere. It is assumed that the form of the atmospheric profile in the numerical prediction is correct, but bias correction is required. Taking the radiation of the near-infrared and thermal-infrared water vapor channels and the temperature and humidity profiles predicted by the model as inputs, a convolutional neural network is used to construct an estimation model for the precipitable water in cloud and sky atmosphere. The present invention uses multi-band observations and numerical prediction model information, takes into account the atmospheric radiative transfer process, and obtains a relatively high accuracy of the precipitable water in cloud and sky atmosphere.

The application discloses an infrared image adaptive atmospheric correction method and device based on a radiation transmission model, and belongs to the technical field of remote sensing image radiation correction. The method first extracts the spatial range, imaging time and observation geometry parameters of an image scene, constructs a scene-based atmospheric profile grid by distance inverse ratio weighted interpolation based on a reanalysis atmospheric profile, and combines a digital elevation model and a view zenith angle to correct and apply terrain and observation geometry constraints to generate control node input parameters. Then, the atmospheric radiation transmission model is called in batches to obtain the hyperspectral results of each control node, and the transmittance and path radiance parameters of the infrared target band are extracted by spectral response function convolution. Finally, the control node parameters are reprojected to the original image coordinates, the four-neighbor-domain bilinear interpolation and nine-neighbor-domain weighted interpolation results are adaptively fused for each pixel, the full-resolution atmospheric parameter field is recovered, and the observed radiance at the ground is inversed.

The invention discloses a surface temperature inversion method and system based on an urban complex geometric structure, and the method comprises the steps: obtaining a thermal infrared remote sensing image, an atmosphere contour line, WVC, DSM, land utilization data, and a spectrum library of a certain city; the thermal infrared reflection wave band data, the atmospheric profile bottom layer temperature, the atmospheric parameters, the sky visual factor and the urban surface material emissivity are obtained by preprocessing the thermal infrared reflection wave band data, the atmospheric profile bottom layer temperature, the atmospheric parameters and the urban surface material emissivity; introducing a sky visual factor to quantify an urban geometric structure, and providing an urban pixel thermal radiation model; calculating a surface temperature data set, an effective emissivity average value data set, an effective emissivity difference value data set and an on-satellite brightness temperature data set, constructing a simulation data set together with a sky visual factor, and dividing the simulation data set into a training data set, a test data set and a verification data set; fitting a local regression coefficient of the GWRSW model by using the training data set and the test data set; and inputting the verification data set into the GWRSW model to estimate the surface temperature of the urban pixel. According to the method, the land surface temperature inversion precision in a complex urban environment is effectively improved.

The invention provides a near space atmosphere profile construction method and device for optical load radiometric calibration, and belongs to the technical field of remote sensing, and the method comprises the steps: constructing reference atmosphere profiles of different height layers based on at least one atmosphere reanalysis data and radiosonde data; constructing an atmospheric profile structure optimization model based on the hierarchical structure data of the reference atmospheric profile and an entrance pupil radiance observation value obtained through observation; and carrying out iterative solution on the atmospheric profile structure optimization model, and taking the optimal solution of the atmospheric profile structure optimization model as the optimal layered structure of the atmospheric profile. By constructing reference atmosphere profiles and atmosphere profile structure optimization models of different height layers, local high-resolution atmosphere characteristics of different height layers can be conveniently determined, the precision of radiation transfer calculation is improved, and the reliability of a radiation calibration result is remarkably improved.

The invention discloses an aerosol layer height and optical thickness inversion method and device, equipment and a medium. The method comprises the following steps: acquiring an atmosphere profile type, aerosol microphysics and single scattering characteristics, observation geometric information, observation longitude and latitude information, a polarization reflectivity measurement value of a first observation wave band combination and a reflectivity measurement value of a second observation wave band combination of an observation area; an aerosol inversion lookup table is established according to the atmospheric profile type, aerosol micro-physics and single scattering characteristics, observation geometric information, observation latitude and longitude information and the polarization reflectivity measurement value of the first observation wave band combination, and an aerosol inversion lookup table is established according to the reflectivity measurement value of the second observation wave band combination and the aerosol inversion lookup table. Therefore, the inversion aerosol layer height and the inversion aerosol optical thickness are obtained. According to the method, the defects of narrow product breadth and long revisit period of the aerosol layer height faced by active remote sensing are greatly overcome by utilizing passive remote sensing data, and the measurement precision of the aerosol layer height is improved.

The application discloses a shipborne marine atmospheric boundary layer refractive index profile detection system and method, relates to the technical field of marine atmospheric environment monitoring and electromagnetic wave propagation guarantee, and comprises the following steps: acquiring sea-air downward infrared radiation spectrum data and sea surface air temperature, relative humidity and air pressure data; constructing a background atmospheric profile by using reanalysis data, and correcting the initial profile bottom layer by using the sea surface observation air temperature, relative humidity and air pressure data to form a prior state vector; constructing an inversion cost function containing an observation residual term, a background prior term and a sea surface boundary constraint term, and inverting to obtain an atmospheric temperature profile and a relative humidity profile; and calculating an atmospheric refractive index profile according to the temperature profile, the relative humidity profile and the air pressure profile. The application can continuously acquire the marine atmospheric refractive index profile under the shipborne dynamic observation condition, and provides reliable data support for marine electromagnetic propagation environment analysis and waveguide diagnosis.

The invention provides an atmospheric laser radar data denoising method based on self-supervised learning, and relates to the technical field of laser radar signal processing. The method comprises the following steps: acquiring and preprocessing original laser radar echo data, and constructing a random blind spot sample based on the preprocessed original laser radar echo data; constructing a blind spot network based on a Unet architecture, training the blind spot network by using a random blind spot sample, and generating a target blind spot network; and inputting the to-be-processed laser radar echo data into the target blind spot network, and performing denoising processing on the to-be-processed laser radar echo data by using the target blind spot network. A self-supervised learning framework based on a blind spot mechanism is adopted, random blind spot samples are constructed for original laser radar echo data, and a blind spot network structure with neighborhood prediction capability is trained by using the random blind spot samples, so that the model can retain detail features in atmospheric profiles such as cloud layer boundaries and aerosol gradients; and the balance between noise suppression and signal fidelity is realized.

The present invention discloses a real-time calculation method of cloud top height based on satellite infrared detection element parameters. First, cloud profile data set, satellite hyperspectral sensor parameters and clear sky atmospheric profile data set are collected. The above data sets are used for cloud-sky radiation transmission calculation and clear sky radiation transmission calculation to obtain the clear sky and cloud sky ambient brightness temperature difference value; the calculated clear sky and cloud sky ambient brightness temperature difference value is combined with the cloud profile data set to calculate the lookup table of sub-pixel cloud amount, cloud top height and brightness temperature difference; the cloud top height is checked layer by layer by comparing the lookup table to see if the condition is met; if it is met, the hyperspectral pixel cloud amount and cloud top height are obtained; if not, the above steps are continued. The data calculation of the present invention is reliable.

The application discloses an aerosol layer height and optical thickness inversion method, device, equipment and medium, the method obtains the atmospheric profile type, aerosol microphysics and single scattering characteristics, observation geometry information, observation latitude and longitude information, the polarization reflectivity measurement value of the first observation waveband combination and the reflectivity measurement value of the second observation waveband combination of an observation area, and establishes an aerosol inversion lookup table according to the atmospheric profile type, aerosol microphysics and single scattering characteristics, observation geometry information, observation latitude and longitude information and the polarization reflectivity measurement value of the first observation waveband combination, and obtains the inversion aerosol layer height and the inversion aerosol optical thickness according to the reflectivity measurement value of the second observation waveband combination and the aerosol inversion lookup table. The method greatly makes up for the defects of narrow aerosol layer height product width and long revisit period faced by active remote sensing by using passive remote sensing data, and improves the precision of measuring the aerosol layer height.

The invention relates to the technical field of atmospheric boundary layer sampling, in particular to an unmanned aerial vehicle adaptive stratified sampling control method oriented to an atmospheric boundary layer. A sample data set is constructed based on laser radar signal data of an atmospheric boundary layer, and the height of the atmospheric boundary layer is estimated in combination with category features; performing layered labeling on the sampling space based on the vertical height to obtain a sampling labeling layered section; acquiring atmosphere profile data of the sampling and labeling layered section by integrating a micro meteorological station and an ultrasonic anemograph, and analyzing and processing the atmosphere profile data of the sampling and labeling layered section to obtain an atmosphere parameter characterization value and a flight parameter characterization value of the sampling and labeling layered section; according to the method, the height of the atmospheric boundary layer can be accurately estimated, so that accurate layered labeling is performed on the sampling space, accurate layered sampling of the atmospheric boundary layer is realized, and the accuracy and reliability of sampling data are improved.

The invention provides an atmospheric correction method and device based on a JAVA language, and relates to the technical field of atmospheric sciences, and the method comprises the steps: analyzing metadata of a hyperspectral image file to obtain input parameters, and employing object-oriented design to package an atmospheric profile model, a gas absorption model, an aerosol model and a surface reflectance model into independent objects; inputting the input parameters into the models corresponding to the independent objects to obtain model outputs, synthesizing optical attributes based on the model outputs, and solving by combining a surface reflectance model to obtain a radiation transmission result; and generating an atmospheric correction coefficient based on the radiation transfer result, performing atmospheric correction on the image file based on the atmospheric correction coefficient, and performing inversion to obtain the surface reflectance. According to the method, accurate modeling of a classical physical process is realized, the maintainability, the cross-platform capability and the calculation performance in a distributed environment of the model are remarkably improved through object-oriented design, and accurate atmospheric correction of a remote sensing image is effectively realized.

The application discloses a time-series temperature anomaly remote sensing extraction method for coal fire area identification and belongs to the field of remote sensing algorithm development. Optical image data with a thermal infrared band are acquired, radiation calibration and atmospheric correction are performed on the optical image data, NDVI, vegetation coverage VFC and surface emissivity epsilon are calculated, atmospheric profile parameters are acquired, a temperature inversion method is selected to invert the surface temperature, an adaptive window-based temperature anomaly extraction algorithm is used to extract temperature anomaly pixels from the inverted surface temperature data, meanwhile, the time continuity of coal fire combustion is considered, a time parameter is introduced, time-series temperature anomaly pixels are extracted through time-series analysis, and a time-series temperature anomaly image is composed of the time-series temperature anomaly pixels. The algorithm based on unbiased estimation is simple to operate, fast in operation, avoids introduction of artificial subjective errors and can obviously improve the accuracy of extraction of temperature anomaly regions.

The present invention discloses a method for correcting the angular effect of remote sensing surface temperature based on an emissivity kernel-driven model. The method comprises the following steps: S1, constructing a directional emissivity model based on a parameter kernel-driven model, collecting data from a study area and inputting it into the directional emissivity model to calculate the directional emissivity; S2, collecting atmospheric profile data to obtain channel atmospheric parameters for two channels, band 31 and band 32; grouping the data using a grouping scheme and obtaining the channel on-board brightness temperature; S3, constructing a GSW algorithm model to construct a coefficient lookup table for multiple grouping conditions; S4, combining the directional emissivity, the observed zenith angle, the atmospheric water vapor content, and the brightness temperature, traversing and extracting the split window coefficients for the corresponding grouping from the coefficient lookup table, and inverting and calculating the surface temperature of each pixel in the study area using the GSW algorithm model. The present invention innovatively obtains the directional emissivity and constructs a coefficient lookup table for the grouping condition, thereby obtaining the surface temperature (LST) for each pixel, thereby improving the accuracy of the surface temperature (LST) data product.

The invention relates to a method for constructing a multi-dimensional on-orbit imaging mode of a space optical infrared camera, and belongs to the technical field of on-orbit application of space optical infrared cameras. The construction method comprises the following steps: firstly, obtaining the calibration absolute responsivity and the optimal response linear interval of the space optical infrared camera; acquiring a global surface temperature database, a global surface feature emissivity database and a global atmosphere profile database, and performing simulation calculation on entrance pupil equivalent spectral radiance of the space optical infrared camera from multiple dimensions; constructing a multi-dimensional on-orbit imaging mode of the space optical infrared camera according to the entrance pupil equivalent spectral radiance database and the calibration absolute responsivity, enabling the space optical infrared camera to work in an optimal response linear interval, and obtaining an initial value of the on-orbit imaging mode; and finally, after the space optical infrared camera enters the orbit, optimizing the multi-dimensional on-orbit imaging mode of the space optical infrared camera according to the response characteristics of the space optical infrared camera at the initial on-orbit stage. According to the construction method, the imaging capability of the space optical camera is exerted through a proper imaging mode, and the detection capability of the space optical camera is exerted to the greatest extent.