58 results about "Atmospheric radiation" patented technology

The invention provides a thermal imager intelligent temperature measurement method based on a neural network, and relates to the technical field of thermal imaging temperature measurement, and the method comprises the steps: firstly collecting an infrared image and a visible light image of a target object, and environment temperature and humidity data; then, the infrared image is preprocessed; then calculating an initial temperature value through a temperature compensation formula, correcting energy attenuation by utilizing humidity data, and processing an abnormal heating signal in combination with the visible light image and the humidity data; and finally, related data are analyzed by means of a neural network, and a corrected temperature value is output. According to the method, a temperature compensation formula combining heat exchange and atmospheric radiation difference is constructed, correction factors are adjusted according to humidity and atmospheric pressure, a visible light image is used for identifying the dirt accumulation level, infrared image features are analyzed in combination with a neural network, and multi-source data fusion and environmental factor dynamic compensation are achieved. The interference of environmental factors on the temperature measurement of the thermal imager is effectively overcome, and the temperature measurement precision and the equipment defect detection accuracy in a complex environment are improved.

The invention provides a wind profile radar spectrum peak estimation method based on a three-parameter dynamic cost function, and the method comprises the steps: 1, carrying out the preprocessing of distance and Doppler spectrum data, and carrying out the three-point moving average smoothing; step 2, noise level estimation based on statistics is carried out; step 3, carrying out candidate spectrum peak selection based on space Doppler window smoothing; 4, performing dynamic weight calculation based on covariance matrix eigenvalue decomposition; step 5, constructing a three-parameter cost function of a distance spectrum peak value RSP power item, a continuity item and a spectrum width consistency item, and performing optimization; and step 6, outputting the optimal spectrum peak trajectory to form a complete wind speed profile trajectory. According to the method, the spectrum peak identification precision and stability in a complex environment can be improved, and the u and v wind correlation coefficients of the estimation method are verified to reach 0.880 and 0.879 through a data set disclosed by an atmospheric radiation measurement website.

The invention relates to the technical field of image processing, and discloses a method and system for generating a hyperspectral image based on hyperspectral and multispectral image fusion. The method comprises the following steps: respectively acquiring a hyperspectral image and a multispectral image with different resolutions and atmospheric state parameters at an imaging moment, and carrying out geometric registration on the images to obtain a registered image; analyzing according to the atmospheric state parameters, and constructing a differentiable atmospheric radiation transmission model; constructing an illumination invariance fusion network, defining a joint loss function of the illumination invariance fusion network, and optimizing the illumination invariance fusion network based on the joint loss function to obtain an optimized illumination invariance fusion network; in combination with a differentiable atmospheric radiation transmission model, taking the obtained registered image and atmospheric state parameters as input of an optimized illumination invariance fusion network, and obtaining an illumination-invariant high-resolution hyperspectral image; the method has stable ground object identification and analysis capability in different illumination scenes such as cloud shadow, time sequence and the like.

The invention provides a hyperspectral remote sensing image generation method and device based on three-dimensional scene radiation simulation, relates to the technical field of remote sensing data processing, and aims at solving the technical problems that in the prior art, hyperspectral remote sensing image data acquisition cost is too high, data sources are few, and the resolution is low. The method comprises the following steps: determining three-dimensional scene data according to a user demand; inputting the three-dimensional scene data into a pre-constructed hyperspectral imaging simulation model, and executing the following operations: based on a global coordinate system, starting from an original point, and emitting randomly distributed light to a three-dimensional scene object through a virtual imaging plane, the three-dimensional scene object being used for simulating optical response of a real ground object structure after light incidence; determining an intersection point of each light ray and the three-dimensional scene object; according to the geometric information and the material information corresponding to the intersection point, combining atmospheric radiation parameters, calculating radiation information of light and radiation data of an entrance pupil of the remote sensor; and generating a hyperspectral remote sensing picture according to the radiation data at the entrance pupil.

The invention provides a space station maintenance simulation system and method, and relates to the technical field of digital twinning, and the system comprises a space station environment simulation construction module which is used for constructing a simulation environment of a space station through a mixed reality technology according to the sun illumination, the atmospheric radiation in the morning and evening period and space debris orbit parameters; the model adaptability reconstruction module is used for performing three-dimensional model rendering on the white mold basic structure to obtain a space station model; the space station damage condition simulation module is used for constructing an impact damage three-dimensional image through the collected impact historical data between the space debris and the space station, and superposing the impact damage three-dimensional image to the space station model; the space station maintenance scheme selection module is used for recommending a mechanical arm maintenance scheme or an astronaut out-of-cabin maintenance scheme according to the impact damage three-dimensional image, the fault report condition and a real pre-judgment analysis strategy input by a user; simulation construction of a space station environment is realized on the basis of a virtual mixed reality technology, and the cost of extravehicular maintenance training of the space station is saved.

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 invention discloses a CO2 sensitive wave band satellite hyperspectral atmospheric radiation transmission process simulation method and device. The method comprises the following steps: screening a CO2 sensitive wave band in a satellite detection wave band; an absorption coefficient lookup table is generated based on the wavenumber-pressure-temperature three-dimensional grid, local recalculation or interpolation calculation is dynamically selected through interpolation confidence evaluation, and the atmospheric stratified gas optical thickness is obtained; the reanalysis data and the aerosol characteristic parameters are fused, and an aerosol vertical profile and multi-mode particle size distribution are constructed; setting atmospheric radiation transmission boundary conditions; calculating the hyperspectral radiation intensity in the target direction by using a radiation transfer solver; a simulated radiance is generated in conjunction with the instrument response function. According to the method, a dynamic interpolation-recalculation hybrid mechanism is innovatively introduced, the balance of calculation precision and efficiency is controlled through a confidence coefficient threshold value, a multi-source aerosol parameterized model is coupled, high-fidelity simulation spectrum data can be quickly generated, and precision verification and algorithm optimization of satellite CO2 inversion are supported.

The invention discloses a method for designing and evaluating a spectral range of a surveying and mapping load wave band, which comprises the following steps of: firstly, transmitting configuration parameters based on radiation under an imaging condition; the entrance pupil radiation characteristic result, the load imaging performance, the image texture characteristic and the spectrum distortion characteristic of the detection wave band designed based on different spectral range parameters at the surveying and mapping load entrance pupil after atmospheric radiation transmission are calculated; and secondly, according to the obtained entrance pupil radiation characteristic result, the imaging performance parameter calculation result, the image texture characteristic parameter calculation result and the spectral distortion characteristic calculation result, evaluating the comprehensive influence of different spectral range parameters on load imaging. According to the invention, the imaging quality and the image information amount of the surveying and mapping load can be evaluated by different spectrum broadening, and the optimal configuration of the spectrum range of the load detection wave band is realized.

The invention discloses a short-range ground target infrared detection signal rapid simulation method, and belongs to the technical field of infrared detection. The implementation method comprises the following steps: considering spontaneous radiation of a target and environmental radiation including solar radiation, atmospheric radiation and ground radiation, combining a geometric measurement model of a linear array infrared detection system, establishing an external optical channel response model of the linear array infrared detection system, and quantifying pixel-level entrance pupil infrared radiation of a short-range infrared detection system; an optical system, a linear array infrared detector and a signal processing circuit are considered, an internal electric signal response model of the linear array infrared detection system is established through a mixed mode of parametric modeling and analog circuit analysis, and an external optical channel response model is connected in parallel to establish a full-link physical response model of the linear array infrared detection system; a cross-platform joint simulation application program is established, a full-link physical response model is driven based on a three-dimensional virtual environment in combination with a parallel ray tracing and multi-domain synchronous calculation method, and rapid simulation of output signals of the linear array infrared detection system is achieved.

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 relates to the technical field of image processing, and discloses a method and system for generating a hyperspectral image based on hyperspectral and multispectral image fusion; the method comprises the following steps: collecting a hyperspectral image and a multispectral image with different resolutions and atmospheric state parameters at an imaging moment, performing geometric registration on the images to obtain registered images; analyzing the atmospheric state parameters to construct a differentiable atmospheric radiation transmission model; constructing an illumination invariance fusion network, defining a joint loss function of the illumination invariance fusion network, optimizing the illumination invariance fusion network based on the joint loss function, and obtaining an optimized illumination invariance fusion network; combining the differentiable atmospheric radiation transmission model, taking the registered images and the atmospheric state parameters as inputs of the optimized illumination invariance fusion network, and obtaining an illumination-invariant high-resolution hyperspectral image; and the application has stable ground object recognition and analysis capability under different illumination scenes such as cloud shadows and time sequences.

The application relates to a wide-view diffuse global irradiance detection device and method, relates to the field of environmental spectrum detection, and solves the problems that existing diffuse global irradiance detection technology cannot realize synchronous observation, cannot simultaneously consider wide view and high precision, is complex, is high in cost, is difficult to deploy and calibrate, is poor in practicability, and cannot adapt to long-term diffuse global irradiance observation requirements in the field (such as a gobi). The application relates to a diffuse global irradiance detection device which comprises a double fisheye lens, a double hyperspectral camera and a control component, adopts a fixed optical structure, and significantly improves the anti-adverse environment capability of the device, and is suitable for long-term operation in the field. The application is suitable for the detection of diffuse global irradiance parameters in the fields of satellite optical load calibration, atmospheric radiation characteristic research, photovoltaic power station irradiation resource evaluation and the like.

The application discloses a prediction method for radiation refrigeration capacity by using aerosol optical thickness and precipitable water amount, comprising the following steps: S10, obtaining corresponding hourly weather data according to weather data; S20, judging whether the local latitude is greater than 33°, if yes, entering step S30, S30, calculating the local precipitable water amount (PWV H ) by using a high-latitude calculation method; if no, entering S40, S40, calculating the local precipitable water amount (PWV L ) by using a low-latitude calculation method; S50, calculating atmospheric radiation according to the calculated precipitable water amount (PWV H or PWV L ); S60, correcting the atmospheric radiation calculated in S50 according to the aerosol optical thickness in the weather data; and S70, calculating the radiation refrigeration capacity according to the atmospheric radiation corrected in S60.

The application discloses an aerosol optical thickness inversion method and device and electronic equipment, and relates to the technical field of remote sensing. The method comprises the following steps: determining at least one highlight image block in a target remote sensing image to be processed; simulating simulated ground reflectivity of the highlight image block under a plurality of different aerosol optical thicknesses by using an atmospheric radiation transmission model; determining a target ground reflectivity curve of a target highlight ground block corresponding to the highlight image block from a ground reflectivity library of a highlight ground; determining a reference ground reflectivity of the highlight image block at a collection time point by using the target ground reflectivity curve; determining at least one target simulated ground reflectivity matched with the reference ground reflectivity; and fitting a target aerosol optical thickness corresponding to the highlight image block based on the aerosol optical thickness corresponding to the at least one target simulated ground reflectivity. The application can realize relatively accurate inversion of the aerosol optical thickness of the highlight ground.

The application discloses a kind of atmospheric radiation transmission model simulation methods based on full connection and RNN neural network, comprising the following steps: the simulation object MODTRAN model is decomposed into atmospheric radiation transmission calculation and sensor spectral response calculation two links, and the parameters of these two processes are template parameter design;The template parameters of the two processes designed are input into MODTRAN model for simulation, respectively obtain atmospheric radiation transmission and sensor spectral response sample set;Establish forward simulation network, and train forward simulation network by atmospheric radiation transmission and sensor spectral response sample set;Based on forward simulation network, sensor entrance pupil radiance is simulated and calculated.The present application uses RNN neural network to simulate atmospheric radiation transmission model comprehensively, effectively avoids the great limitation of traditional method which only simulates a certain specific problem;And using RNN neural network to simulate atmospheric radiation transmission model, the speed and accuracy of calculation can be greatly improved.

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

A radioactivity monitoring buoy disclosed by the present invention comprises a wave instrument, the top of the periphery of the wave instrument is fixedly connected with a trifurcate column, the top of the trifurcate column is fixedly connected with an integrated meteorological station, an antenna and a beacon light, the side wall of the trifurcate column is fixedly provided with an atmospheric radiometer, and the top of the wave instrument is fixedly provided with a solar panel. A fixing support is arranged at the bottom of the wave meter, a driving device is arranged at the top of the fixing support, the bottom of the driving device is fixedly connected with a heavy pressing plate through a rope, a monitoring bin is fixedly installed at the bottom of the heavy pressing plate, and an anti-winding assembly used for preventing the rope from being wound is fixedly installed at the top of the fixing support. Through the arrangement that the heavy pressure plate is combined with the three ropes distributed at equal intervals, the anti-flow capacity of the monitoring bin is improved, and shaking caused by ocean undercurrent or collision is effectively counteracted. Compared with the problem that a buoy sub-body is easy to swing in the prior art, the device ensures that a monitoring instrument keeps stable operation in a dynamic water layer, and the data acquisition reliability is improved.

The invention provides a multi-task data set construction method for volcanic ash cloud monitoring, and belongs to the technical field of remote sensing information intelligent extraction. According to the method, an atmospheric radiation transmission model and satellite remote sensing observation data are utilized, a high-quality data set which has physical mechanism support and is close to practical application is established, and a solid foundation is laid for training a volcanic ash cloud monitoring model with high precision and strong generalization ability. By comprehensively applying the atmospheric radiation transmission model and the multi-source satellite remote sensing product, on one hand, the radiation characteristics of the volcanic ash cloud under different particle sizes, concentrations, heights and background environments can be accurately simulated based on the atmospheric radiation transmission model, so that a volcanic ash cloud satellite observation data set covering various different scenes is generated; and on the other hand, multi-source satellite remote sensing data is introduced, a data set containing real satellite observation information of the volcanic ash cloud is automatically established, and a key real world reference is provided for model construction.

The invention relates to a rocket boosting section tail flame infrared radiation characteristic time sequence dynamic simulation method, and belongs to the technical field of infrared radiation characteristic simulation. The method for dynamically simulating the time series of the infrared radiation characteristics of the tail flame of the rocket boosting section comprises the following steps: firstly, acquiring dynamic input source data, then dynamically simulating a flow field of the tail flame boosting section of the rocket, and then calculating infrared radiation characteristic parameters and solving a radiation transfer equation. And finally, correcting the time sequence of the infrared radiation intensity of the tail flame based on an atmospheric radiation transmission model, and finally completing the dynamic simulation of the time sequence of the infrared radiation intensity of the boosting section of the tail flame of the rocket. According to the method, the coupling influence of multiple physical fields such as a flow field, chemical components, spectral absorption and atmospheric attenuation can be considered synchronously, and the accuracy of infrared characteristic simulation of the rocket tail flame is remarkably improved. The method adapts to flight working conditions and environmental condition changes at different moments, and keeps calculation effectiveness and stability, thereby effectively breaking through the limitation of a traditional tail flame infrared radiation characteristic simulation method in the aspect of dynamic nature.

The application provides an infrared simulation method, system, computer and readable storage medium, the method comprises the following steps: inputting a target three-dimensional model into a terrain editor, and inputting corresponding scene information through a first preset script to obtain solar radiation intensity and atmospheric attenuation coefficient; calculating the solar radiation angle through the first preset script, and constructing an atmospheric radiation transmission model to calculate the first surface radiation intensity of the object surface according to the atmospheric radiation transmission model; calculating the target radiation intensity of the object mapped to the target virtual imaging device through a second preset script, and carrying out gray processing on the target radiation intensity through a third preset script; displaying the gray color corresponding to the object in the display picture of the target virtual imaging device to complete the infrared simulation of the target scene. Through the above manner, the number of used shaders can be reduced, the preloading of the shaders is saved, and the consumption of the processor is reduced.

The application provides a star sensor full-link imaging modeling method and device in a high-speed aerodynamic environment. The method comprises the following steps: acquiring starlight emitted by all far-field stars in an observation scene by using a star sensor camera, and obtaining a first light direction of an incident star and a first radiant intensity of the incident star by using the starlight; performing atmospheric transmission modeling processing on the first radiant intensity of the incident star based on an atmospheric radiation transmission calculation model to obtain a second radiant intensity of the incident star; performing aerodynamic optical transmission modeling processing on the first light direction of the incident star and the second radiant intensity of the incident star respectively, and correspondingly obtaining a second light direction of the incident star and a third radiant intensity of the incident star; and performing star sensor transmission modeling processing based on an atmospheric turbulence dynamic imaging blur model, the second light direction of the incident star and the third radiant intensity of the incident star to obtain a gray-scale imaging result. Therefore, the influence of aerodynamic optical effects on the performance of the star sensor can be more accurately evaluated.

The present invention discloses a method and system for measuring the complex dielectric constant based on millimeter-wave radiation, belonging to the field of passive microwave remote sensing and detection technology. The method comprises utilizing the horizontally polarized brightness temperature and vertically polarized brightness temperature of a target measured at multiple incident angles, analyzing the data to obtain the PDoP at each incident angle, and finally inverting the complex dielectric constant based on the PDoP measurement values. The present invention can obtain the complex dielectric constant of a target without measuring the target's physical temperature and ambient brightness temperature; non-ideal factors such as radiometer measurement noise, calibration error, atmospheric radiation, and attenuation do not cause measurement distortion in this method.

The invention discloses an atmospheric radiation transmission signal reconstruction method, and belongs to the technical field of atmospheric optical transmission. The method comprises the following steps: constructing an atmospheric radiation transfer Monte Carlo model, and simulating photon emission, transmission, scattering and absorption processes; extracting a time broadening function h (t) through simulation under the condition of no modulation signal, and defining the time broadening function h (t) as a time point spread function of an atmospheric channel; based on the fitted error model and the time model, the optimal photon packet number N for simulation is efficiently determined by using a Bayesian optimization algorithm; and finally, realizing accurate reconstruction of the received signal y (t) by using convolution operation of the time broadening function h (t) and the original signal S (t). According to the method, the Monte Carlo simulation parameters are intelligently optimized, the calculation cost is remarkably reduced on the premise that the precision is guaranteed, and an efficient technical scheme is provided for rapid signal reconstruction in remote sensing detection and laser communication.

The invention discloses an analysis method and system for surveying and mapping geographic information data, and relates to the technical field of geographic information data processing.The method comprises the steps that through fusion of dual-band thermal infrared data and hyperspectral data, part of atmospheric radiation interference is removed through delta T, then residual errors are corrected through a hyperspectral exclusive characteristic peak, and the high-spectral data are obtained; according to the method, the problem of insufficient classification precision of a single data source is effectively solved, 'reuse range-update cost 'two-dimensional division of universal / special assets is introduced, and the asset value level is quantified in combination with'data precision-application frequency-update benefit', so that static earth surface coverage data is converted into classifiable, evaluable and plannable assets, and in addition, the method has the advantages that the classification accuracy is improved, and the classification efficiency is improved. According to the method, a dynamic updating mechanism linked with the updating plan is also established, conventional updating can be triggered according to the plan, local updating can be automatically triggered when earth surface coverage changes, full-area remining is not needed, updating cost is reduced, updating history is recorded through timestamps, and data traceability is ensured.

Disclosed is a simulation device for electron-excited atmospheric radiation. An electron gun cavity is connected with a front end of a gas cavity. An electron gun is used for emitting electrons and injecting the electrons into the gas cavity. The electrons collide with gas molecules in the gas cavity to ionize and excite the gas molecules. According to the miniaturized simulation device for electron-excited atmospheric radiation, the device can realize an ionization excitation experiment of high-energy electrons on neutral gas and generate a series of optical radiation phenomena in special scenes. In addition, with the aid of optical observation equipment, optical radiation signals of ionized neutral gas can be obtained, so that radiation laws under different incident electron energies, different radiation intensities and different atmospheric components can be further obtained.

The present invention relates to a method for calculating the effective range of an infrared polarization imaging system. The method takes system performance parameters and atmospheric radiation characteristics of the infrared polarization imaging system as input parameters, and constructs an effective range calculation model for the infrared polarization imaging system based on the noise equivalent temperature difference, in combination with the noise equivalent polarization degree difference and the minimum resolution polarization degree difference between a target and a scene. The method comprehensively considers the detection advantages of the infrared polarization imaging system and the difference in polarization radiation characteristics between the target and the background to calculate the effective range of the infrared polarization imaging system under a specified target detection probability. The method has the advantages of strong system matching, good scene adaptability, high calculation accuracy, and the like.

This invention discloses an atmospheric data inversion method, system, and medium based on an unmanned aerial vehicle (UAV)-borne spectrometer. The method includes: acquiring reflectance observations or combinations of observations of a study area using an UAV-borne spectrometer; inverting carbonaceous aerosol parameters from the reflectance observations or combinations of observations through forward simulation of atmospheric radiative transfer; using the carbonaceous aerosol concentration parameters as input to an aerosol optical-physical parameter inversion module to obtain optical-physical parameters; and outputting atmospheric data inversion results based on the optical-physical parameters and carbonaceous aerosol parameters. This invention achieves in-depth analysis of atmospheric carbonaceous aerosols through near-Earth radiation measurements without requiring various aerosol sampling sensors. Its inversion results can be widely used for the encryption verification and calibration of high-resolution satellite aerosol data, solving the problem of low spatial resolution in traditional carbonaceous aerosol inversion methods.

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 greenhouse gas column concentration inversion method of a vehicle-mounted mobile FTIR, and comprises the following steps: S1, a vibration signal on a spectrometer base is collected; when the vibration energy integral exceeds a first preset threshold, an instrument line function calibration process is executed, and instrument line function parameters at the current time are acquired; S2, a measured sunlight spectrum is acquired, the instrument line function parameters corresponding to the sunlight spectrum time stamp in S1 are read, and a dynamic instrument line function is constructed; S3, based on an atmospheric radiation transmission model and the dynamic instrument line function constructed in S2, a nonlinear least square algorithm is used to invert the measured sunlight spectrum, the weighted residual sum of squares of the theoretical calculation spectrum and the measured spectrum is minimized through iterative optimization of the state vector, and column concentrations of various greenhouse gases are obtained; and S4, total column concentration of dry air is calculated, and the column concentration of the target gas is converted into a dry air column volume mixing ratio.

The invention discloses an infrared spectrum radiance deduction method and device, equipment, a medium and a product, and relates to the field of spectrum radiance modeling, and the method comprises the steps: building a simplified atmospheric radiation transmission model based on n layers of equivalent atmospheric layers; the n equivalent atmosphere layers are obtained by simplifying a non-uniform atmosphere path from an earth limb observation tangent point to the top of the atmosphere layer; performing optimization solution on the target function according to the inversion infrared light band reference spectrum radiance to obtain equivalent path length and equivalent temperature of each equivalent atmospheric layer corresponding to the inversion infrared light band; and inputting the target infrared light wave band and the equivalent path length and the equivalent temperature of each equivalent atmospheric layer corresponding to the inversion infrared light wave band into the simplified atmospheric radiation transmission model to obtain the inversion spectral radiance of the target infrared light wave band. The radiance of the target infrared light band can be deduced based on the radiance of the inversion infrared light band.