39 results about "Radiance" patented technology

This invention relates to the field of laser special light source technology, and provides a laser-driven white light source device, which includes a laser source, an optical system, a gas-loaded structure, and a high-voltage driving component. The laser source is suitable for providing a laser beam; the optical system is suitable for focusing the laser beam; the gas-loaded structure is located on the side of the optical system away from the laser source, and the center of the gas-loaded structure corresponds to the focusing area of ​​the laser beam; the high-voltage driving component is suitable for igniting plasma within the gas in the gas-loaded structure; wherein, the gas-loaded structure has a gas carrier incident surface and a gas carrier exit surface arranged opposite each other along the propagation path, and the curvature of the gas carrier incident surface and the gas carrier exit surface is constant in the direction perpendicular to the propagation path. This application can reduce the generation of aberrations, thereby reducing the size of the emitting point and resulting in better consistency of the emitting point; at the same time, the uniformity of white light output and the spectral radiance are also better.

The present application relates to a kind of infrared scene quantitative radiance calculation methods based on light ray tracking module, comprising: obtaining target mask information image, the radiance image of infrared scene, depth information image and position information image, sensor position information, sensor field of view and sensor observation direction;Infrared scene is divided into several view cones according to the resolution of target radiance area image, wherein several view cones and the object surface in infrared scene intersect to form several face elements;The radiance of each face element at the sensor is calculated by the theorem of solid angle projection;The radiance of several face elements at the sensor is accumulated, and the radiance of infrared scene to the sensor is obtained.The method supports full scene, single target, multiple targets as radiation energy source, and can be applied to high complex infrared scene simulation work;Without additional data support, the radiance at the sensor can be calculated without performing redundant work.

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.

This invention discloses a rapid calculation method for the rearward infrared radiation intensity of an S-curve nozzle, belonging to the field of infrared radiation characteristic simulation of aero-engine exhaust systems. The method comprises the following steps: determining the design parameters of the S-curve nozzle and exhaust mixer components; establishing projection models of the key shielding sections of the exhaust mixer and S-curve nozzle; calculating the projected area of ​​each component after shielding by the S-curve nozzle using an image method; calculating the flow field parameter distribution and component surface temperature of the S-curve nozzle; calculating the axial length and volume of the visible region of the exhaust gas in the S-curve nozzle; calculating the spectral transmittance and spectral radiance of the exhaust gas along the nozzle outlet centerline within the visible region of the exhaust gas, as well as the spectral radiance intensity of the exhaust gas; calculating the infrared spectral radiance intensity of the wall surface; and integrating the spectral radiance to obtain the total infrared radiation intensity. This method solves the problems of existing technologies where the simulation calculation of the infrared radiation characteristics of S-curve nozzles is complex and time-consuming, and rapid calculation methods are only applicable to axisymmetric nozzles and cannot simulate the shielding structural characteristics of S-curve nozzles.

This invention provides a method and apparatus for modeling and analyzing the detection performance of an airborne infrared system with cloud interference. The method includes: dividing the cloud landscape into three different cloud scenarios based on the spatial geometric relationship between the cloud layer and the target and detector, and constructing an input parameter set; determining the equivalent target brightness and equivalent background brightness based on the input parameter set, and constructing a unified signal-to-noise ratio (SNR) model by combining the target radiance, background radiance, and atmospheric correction factor under clear-sky conditions, and solving the model; determining the SNR change rate and the detection distance change rate based on the solution results to construct a cloud interference model; comparing the SNR change rate and the detection distance change rate with measured data from field tests, and correcting the input parameter set in reverse based on the comparison error until the comparison error meets a preset threshold, thus completing the calibration of the cloud interference model. This improves the diversity, applicability, and practicality of the model, makes the analysis results traceable, and supports the evaluation of field test environments.

This invention discloses a method for inverting atmospheric N2O column concentration based on thermal infrared satellite remote sensing, belonging to the field of atmospheric environment remote sensing technology. The method includes: acquiring and preprocessing satellite observation data; selecting a specific spectral range as the inversion characteristic spectral region; introducing a fast radiative transfer model to construct a forward simulation operator to simulate the radiance of the top atmospheric layer; selecting N2O-sensitive characteristic bands with high signal-to-noise ratio and low interference based on a channel optimization strategy using the N2O / CO2 Jacobi intensity ratio; constructing an extended state vector, using surface temperature as an unknown parameter and performing joint optimal estimation iterative inversion with the N2O profile to correct the surface temperature in the reanalysis data, thereby achieving high-precision inversion of N2O atmospheric column concentration. This invention transforms surface temperature from a fixed input parameter into a state variable to be inverted, effectively decoupling surface temperature error from the N2O signal, eliminating systematic bias, and significantly improving the inversion accuracy of N2O column concentration.

Provided are a light emitting device capable of reducing glare, a headlight, and a vehicle including the same.The light emitting device comprises: a light emitting element having a light emission peak wavelength in a range of 400 nm or more and 490 nm or less; and a wavelength conversion member including a first fluorescent material having a light emission peak wavelength in a range of 480 nm or more and less than 580 nm and a second fluorescent material having a light emission peak wavelength in a range of 580 nm or more and 680 nm or less and having a composition different from that of the first fluorescent material, wherein the light emitting device emits light having a first luminance ratio Ls / L that is 0.9 or less, where Ls / L is a ratio of a first effective radiance Ls of the light emitted by the light emitting device in consideration of a spectral luminous efficiency curve for photopic vision of humans specified by the CIE (Commission Internationale de l'Eclairage) and S-cone spectral sensitivity of humans, to a luminance L of the light emitted by the light emitting device in consideration of the spectral luminous efficiency curve for photopic vision of humans.

The application discloses a kind of methods and systems for spectral standardization under the influence of multi-dimensional environment, it is related to spectral data standardization field.The method comprises first to the target object is carried out single point spectral collection, for acquisition position, the apparent radiance spectral data of target object and the temperature data of target object surface are acquired, the geometric parameter when target object is carried out spectral collection is acquired;Target object is replaced by standard reference plate, for the center position of standard reference plate, the apparent radiance spectral data of standard reference plate is acquired;Then using the thermal radiation-reflectivity decoupling method based on iterative calculation, obtain the reflectivity spectral data of the surface of target object after preliminary correction;Finally, BRDF model is acquired and parameter is determined, using the model and reflectivity spectral data obtain geometric standardization reflectivity spectral data, complete spectral standardization.The application can cope with various temperature, illumination, zenith angle and so on imaging condition.

This invention discloses an underwater target reflectance inversion method based on an underwater transmission model, comprising: acquiring the original digital values ​​of the underwater target collected by a hyperspectral camera; combining the built-in radiometric calibration parameters of the hyperspectral camera; converting the original digital values ​​into radiance based on the sensor pre-calibration response characteristics; physically modeling the water absorption effect, scattering effect, and path radiation effect during underwater light propagation to determine the linear mapping relationship between radiance and target reflectance; constructing a training radiative transmission model using a non-negative linear regression model; using a calibrated target with known reflectance as a sample to train the radiative transmission model between the original digital values ​​and the target reflectance, and solving for the mapping parameters between the two; and based on the original digital values ​​and mapping parameters of the underwater target to be reconstructed, using the trained radiative transmission model to invert and obtain the true reflectance of the target, thus completing the spectral reconstruction.

The application discloses a radiation cooling device based on an optical film, comprising a substrate, an optical film with high visible light transmittance and high infrared emissivity arranged on one side of the substrate, the optical film comprising an infrared reflection layer arranged on the substrate and an optical antireflection film arranged on the surface of the infrared reflection layer; the transmittance of the device in the visible light band is above 60%, and the emissivity in the atmospheric window band is above 50%. The radiation cooling device based on the optical film has simple structure and good stability, and is suitable for large-scale and low-cost production; the good thermal conductivity of silicon carbide and the high visible light transmittance and high infrared emissivity after regulation and control enable the silicon carbide to be applied to various devices, and the silicon carbide is more energy-saving and simple than active heat dissipation components; especially for virtual / augmented reality devices, if the silicon carbide is used as a lens, the silicon carbide can be well thermally conducted and radiated, and the unique high refractive index of the silicon carbide can further increase the field angle of view of the device and improve the optical performance.

The application discloses a high-resolution satellite image urban area shadow-removed ARD production method and device, and belongs to the technical field of remote sensing image processing. The method comprises the following steps: firstly, screening out images covering urban areas; performing radiation calibration on high-resolution satellite images covering urban areas to obtain apparent radiance images; based on the apparent radiance images, performing preliminary shadow detection by using a pre-trained deep learning model; using a near-infrared band of an atmospheric-corrected ground reflectivity image, performing false detection elimination on the preliminary detection result by adaptive threshold segmentation to obtain a final shadow mask; performing histogram matching processing on the shadow area based on the shadow mask on the atmospheric-corrected ground reflectivity image to realize shadow removal; and finally, outputting the shadow-removed ARD product. The application significantly improves the shadow detection precision and the quantitative reliability of the ARD product, and is suitable for large-scale ARD production of high-resolution satellite images in urban areas.

The application discloses a point source emission carbon dioxide dry air column concentration remote sensing inversion error estimation method, system, device, medium and product, relates to the atmospheric gas monitoring technical field, and the method comprises the following steps: determining observation scene parameters affecting carbon dioxide remote sensing observation based on radiation transfer theory; constructing a point source carbon emission observation scene, generating radiance simulation data set by using a radiation transfer model; using the step-by-step Sobol analysis method, the iteration combination of global sensitivity analysis and local sensitivity analysis is used to analyze the influence of observation scene parameters on carbon dioxide radiance, and the parameter sensitivity degree is determined; according to the maximum posterior probability estimation algorithm and the benchmark scene parameters, the column average kernel and the posterior error are calculated, the posterior inversion error of the point source emission carbon dioxide dry air column concentration is calculated, the inversion error estimation of the point source emission carbon dioxide dry air column concentration is completed, and the effective determination of the point source remote sensing inversion influencing factor type and the quantitative estimation of the influence degree are realized.

This application provides a method and apparatus for radiometric calibration of thermal infrared satellites based on multi-energy-level targets, comprising: acquiring payload performance parameters of a thermal infrared satellite; acquiring transit information of the thermal infrared satellite; identifying multiple targets with different energy levels within the dynamic range of the thermal infrared satellite's payload based on the payload performance parameters and transit information; measuring the ground radiation parameters and atmospheric parameters of each target during the transit information; calculating the equivalent entrance pupil radiance of the target under the thermal infrared satellite based on the ground radiation parameters and atmospheric parameters; calculating the digital quantization value of the area where the target is located; and determining the absolute radiometric calibration coefficient of the thermal infrared satellite based on the digital quantization value and equivalent entrance pupil radiance of each target. This reduces the deviation in absolute radiometric calibration within the dynamic range of the thermal infrared satellite's payload, improving the accuracy of subsequent quantitative applications and comprehensive analysis.

The present application relates to a kind of automobile interior atmosphere lamp color calibration methods based on multi-channel fiber synchronous acquisition, color calibration is carried out by the measuring system of two-stage calibration, wherein two-stage calibration includes first stage: under the same geometric condition, the same region of the N fiber probes is simultaneously aligned with a uniformity standard light source, the original spectral signal of each channel is synchronously collected, the relative spectral response correction coefficient of each channel relative to reference channel is calculated based on the signal;Second stage: select a standard transfer light source measured, and using any one specified fiber probe calibrated by the first stage, under standard geometric conditions, the standard transfer light source is aligned and collected, to obtain the original signal;Combined with the known absolute spectral radiance value of the standard transfer light source and the corresponding, the absolute spectral responsivity function of the entire system is calculated.The present application can multi-channel synchronous acquisition, and greatly shorten the measurement time.

The utility model discloses a kind of water-leaving albedo in-situ measuring devices, including triangular support, floating assembly and measuring assembly;The floating assembly includes first float ball, second float ball and floating ring;The measuring assembly includes downlink irradiance probe, radiance probe and uplink irradiance probe;The downlink irradiance probe is fixed on the end of the intersection of the leg of triangular support, for measuring downlink irradiance E d ;Radiance probe is fixed on the end below the intersection of the leg of triangular support;Radiance probe lower end is fixed with first light shield cone;The triangular support of floating ring one end is fixed with uplink irradiance probe;The uplink irradiance probe lower end is fixed with second light shield cone;The bottom of first light shield cone and second light shield cone is immersed in water body;Radiance probe and uplink irradiance probe are located above water surface respectively, and water-leaving radiance L w And water-leaving irradiance E w It is directly measured by radiance probe and uplink irradiance probe respectively.

This invention relates to the technical field of infrared image denoising and enhancement, and particularly provides a method for removing the "pot lid effect" from infrared images based on Planck radiometric calibration. Applied to an infrared imaging system, the method includes the following steps: S10, acquiring an original infrared image; S20, performing adaptive median filtering on each pixel in the original infrared image to obtain a grayscale image; S30, constructing a calibration model between grayscale values ​​and radiance measurements based on Planck's law, and obtaining a calibration coefficient matrix accordingly; S40, using the calibration coefficient matrix to perform radiometric correction on the grayscale image to obtain a radiance image. This invention, by organically combining adaptive median filtering with Planck radiometric calibration, ensures both the purity of the image input and the accuracy of the physical output, and can remove the "pot lid effect" caused by uneven energy reception between the detector's periphery and central region.

The application discloses a SIF spectrum inversion method based on singular value decomposition and machine learning regression. The method comprises the following steps: step 1, acquiring sample radiance spectrum data, solar-induced chlorophyll fluorescence spectrum data corresponding to the radiance spectrum data and the like; step 2, performing singular value decomposition on a feature matrix, selecting a plurality of main singular vectors to construct a reconstruction base matrix, and calculating low-dimensional expansion coefficients of the fluorescence spectrum; step 3, performing singular value decomposition on the feature matrix; step 4, taking the low-dimensional feature coefficients of the radiance spectrum, preset key band radiance features, band ratio features and observation geometry features as input variables of a machine learning regression model; and step 5, inputting a sample to be inverted into the trained machine learning regression model. The application converts the high-dimensional solar-induced chlorophyll fluorescence spectrum inversion problem into a low-dimensional expansion coefficient prediction problem, and has the advantages of high inversion efficiency, strong model stability and suitability for popularization and application.

The present disclosure relates to a candela reproduction method and device based on a virtual blackbody equivalent spectrum synthesis light source, belonging to the technical field of optical metrology testing. The method comprises: calculating the spectral radiance distribution of an ideal blackbody based on the freezing point temperature of platinum; constructing a spectral synthesis light source composed of narrowband spectral light sources and homogenizing devices; determining the target spectral radiance distribution of the spectral synthesis light source for a preset human eye spectral light visibility efficiency function, so that the weighted integral value of the target spectral radiance distribution is equal to that of the ideal blackbody; adjusting the power of each narrowband light source in the spectral synthesis light source so that the spectral radiance distribution of the spectral synthesis light source reaches the target spectral radiance distribution p times; when the effective light emitting area of the outlet surface of the spectral synthesis light source is 1 / 60 square centimeters q times, the luminous intensity is determined to be p q candela, thus realizing a candela reproduction scheme consistent with the historical definition, compatible with multiple visual function models, and taking into account both theoretical rigor and engineering feasibility.

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.

When rendering an image of a virtual scene, color information for at least one surface element of the virtual scene is stored in the form of color space coordinates of a multistimulus color space. A number of basis functions are assigned to the surface element, each describing a relative wavelength distribution of a portion of the light emitted by the surface element, and a spectral radiance is modeled as a linear combination of the basis functions. By combining the spectral radiance with at least one color space coordinate from the color information of the surface element and at least one color matching function assigned to that color space coordinate, the scaling factors of the basis functions are derived, and the spectral radiance is calculated by substituting these scaling factors.Synthetic camera data is calculated by processing the spectral radiance in a camera simulation of a camera positioned in the virtual scene.

This invention discloses a method for solving the spectral emissivity of a wall surface based on a GRU network with an attention mechanism, comprising the following steps: dual-temperature calibration of an infrared radiometer using a reference blackbody; measuring the wall surface target using the calibrated infrared radiometer and calculating the target reference spectral radiance using the measurement results; constructing a GRU network model with an attention mechanism and training the model using the target reference spectral radiance data after removing atmospheric interference-related bands; using the trained network to predict and correct the mid-wave infrared and long-wave infrared regions, and solving the wall surface emissivity using the corrected spectral radiance. This method for solving the spectral emissivity of a wall surface, by constructing a recurrent neural network model, can correct the target reference spectral radiance, effectively eliminating the influence of atmospheric absorption on the emissivity solution and improving the accuracy of the wall surface spectral emissivity solution.

This invention discloses a method and system for calibrating infrared broadband data using multi-temperature blackbody, belonging to the field of optoelectronic information acquisition and processing. The invention utilizes a spectrum correlation detection device to collect data on targets at different temperatures. It was found that the system gain gradually decreases with changes in blackbody temperature, while the system bias remains essentially constant. Based on this, the gain and bias obtained from an ultra-low temperature blackbody are used to invert the spectrum of an ultra-low temperature target to obtain its radiance; the gain and bias obtained from a low temperature blackbody are used to invert the spectrum of a low temperature target to obtain its radiance; the gain and bias obtained from a medium temperature blackbody are used to invert the spectrum of a medium temperature target to obtain its radiance; and the gain and bias obtained from a high temperature blackbody are used to invert the spectrum of a high temperature target to obtain its radiance. Using different gains and biases to invert the true spectral characteristics (radiance) significantly improves the accuracy of subsequent identification algorithms.

This invention provides a method for inverting temperature and emissivity from ground-based long-wave thermal infrared hyperspectral imagery, belonging to the field of long-wave thermal infrared hyperspectral remote sensing and radiation inversion technology. It achieves the inversion of target surface temperature and emissivity. The method includes: acquiring long-wave thermal infrared hyperspectral imagery containing sky and ground features; estimating environmental radiation based on sky region pixels; constructing a coupled equation containing target temperature and emissivity; correcting the observed radiance using environmental radiation; solving the coupled equation using a temperature-emissivity separation algorithm to obtain the target surface temperature and initial emissivity spectrum; and post-processing the initial emissivity spectrum to suppress the influence of residual spectral line absorption, outputting the temperature and emissivity results. This invention uses ground-based long-wave thermal infrared hyperspectral imagery as input and can obtain target surface temperature distribution and emissivity products in near-field open scenarios without relying on external auxiliary measurements.

The application provides a photobiological hazard measurement method, aiming at solving the problems of complicated switching, easy omission of hazard peak value and large measurement error of the existing measurement technology, adopting a two-dimensional array detector matched with a correction filter, and matching a target photobiological hazard weighting function; the maximum hazard area of a measured light-emitting surface is located through pixel merging measurement under the matching standard geometric condition, and a measurement value is obtained; a correction coefficient is calculated by combining a measured light radiation relative spectral power distribution to complete measurement value correction. A matching device realizes fast switching of multiple hazard measurements through a color wheel, and realizes efficient cooperation of area array and spectral measurement through a switching mechanism. The application can be adapted to irradiance and radiance hazard measurement, effectively improves measurement efficiency, precision and comprehensiveness, and is suitable for photobiological safety detection of various light-emitting products.

In rendering an image of a virtual scene, color information of at least one surface element of the virtual scene is saved in the form of color space coordinates of a multi-stimulus color space. The surface element is configured with a number of basis functions which describe a relative wavelength distribution of light components emitted by the surface element, respectively, and which model a spectral radiance density as a linear combination of the basis functions. Proportionality factors of the basis functions are derived by calculating the spectral radiance density with at least one color space coordinate of the color information from the surface element and at least one color matching function configured to the color space coordinate, and the spectral radiance density is calculated by substituting the proportionality factors. The synthetic camera data is calculated by processing the spectral radiance density in a camera simulation of a camera arranged in the virtual scene.

The present application relates to the technical field of atmospheric correction, and more particularly to a remote sensing calibration correction bidirectional coupling deep learning method based on reversible neural network. The method comprises the following steps: extracting the apparent radiance pixel sequence of the target water area; constructing an environmental prior data set; using an FT-Transformer network to perform deep heterogeneous feature coding on multi-source auxiliary physical data to generate a physical condition embedding vector; constructing a reversible neural network architecture to establish an equal-dimension mapping channel; performing adaptive modulation on the radiation transmission process of the real physical environment within the reversible network; performing end-to-end bidirectional physical constraint training based on a joint loss function, forcing the network to learn the radiation transmission physical law in the forward direction and compressing the atmospheric disturbance to the latent variable space; and outputting high-precision remote sensing reflectivity in the actual inference stage. The method overcomes the problems of missing physical mechanism, weak generalization ability and low calculation efficiency in the existing atmospheric correction technology for two types of turbid water bodies.

This invention discloses a device and method for self-testing and calibration coefficient correction of a radiation pyrometer system, relating to the field of radiation temperature measurement technology. The device comprises a broadband light source, an intensity modulation unit, a first multimode fiber, a return light unit, a second multimode fiber, and a multichannel radiation pyrometer. The return light unit shares the second multimode fiber with the object under test, ensuring that the transmission path of the return light monitoring signal is consistent with that of the radiation signal under test. The method includes system self-testing and calibration coefficient correction: Transmission link loss is calculated by comparing the return light amplitude of the reference and actual states, achieving system status self-testing and abnormal channel location; initial calibration coefficients are calculated based on standard temperature source measurements combined with Planck's radiation law, and then the transmission loss factor is calculated through changes in the return light signal amplitude to dynamically correct the calibration coefficients; finally, the spectral radiance is calculated using the corrected coefficients, and the impact temperature to be measured is obtained through least squares fitting. This invention enables rapid system self-testing and dynamic coefficient correction.

This invention discloses a method for calculating and calibrating the cumulative radiance matrix within the effective bandwidth of a narrowband filter. The method first acquires the transmittance curve of the narrowband filter and determines the effective bandwidth integration interval. It then collects the response value matrix and dark background response matrix of a blackbody at multiple temperature points. Dark background correction and exposure normalization are performed on the response value matrix to obtain the blackbody bandwidth cumulative response matrix. Discrete integration is then performed on the blackbody spectral radiance and filter transmittance within the effective bandwidth integration interval to obtain the bandwidth cumulative radiance matrix corresponding to each temperature point. A polynomial mapping relationship between the bandwidth cumulative response matrix and the bandwidth cumulative radiance matrix is ​​established based on multi-temperature point samples. The global calibration coefficient set is obtained through least squares solution. After calibration, the original response value matrix and dark background response matrix of the object under test are acquired and subjected to consistent correction and normalization. These are then substituted into the mapping relationship to calculate and output the cumulative radiance matrix including the object under test. This method enables quantitative calculation of the cumulative radiance matrix within the effective bandwidth at the pixel level, avoiding errors caused by center wavelength approximation or single-point correction. It has the advantages of strong applicability, high computational efficiency, and simple engineering implementation.

The application relates to the technical field of satellite remote sensing, and provides a kind of high-resolution micro-light field automation radiometric calibration method and device for satellite. The method sets a target array on the ground, matches the target array with the probe element array of the satellite load in space, so that each probe element or probe element sub-region corresponds to an independent target, and the calibration coefficient of the load as a whole is calculated based on this, so that the absolute radiometric calibration of the high-resolution micro-light load can be realized, and the calibration precision is improved. Meanwhile, when the outgoing radiance of the target is obtained, the influence of the diffusion effect on the target signal is considered, the interference of the surrounding target diffusion signal is eliminated, and the calibration precision is further improved.