25 results about "Atmospheric radiation" patented technology

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 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 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.

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 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 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.

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 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.

The application discloses a kind of high-frequency microwave radiometer optical systems and its design method, belong to microwave remote sensing technical field.The system includes by servo motor driven main rotating parabolic mirror, two fixed parabolic mirrors respectively fixed at cold load and hot load interface, and cone wave corrugated horn antenna placed at the focal point of main mirror;Main rotating parabolic mirror can be scanned from 0 to 180 °, receive atmospheric radiation signal and the calibration parallel signal reflected by fixed mirror, converge to antenna.The application also provides a kind of general design method, through parallel selection, far-field integration method accurately calibrates antenna phase center, and ensure that it coincides with the focal point of main mirror.The application adopts combined parabolic mirror structure to realize the efficient coupling of multiple signal sources, has wide-range beam scanning capability, and replaces artificial experience alignment through systematic phase center calibration, significantly improves signal coupling efficiency and transmission stability, suitable for high-frequency radiometer development.

The invention discloses wide-view-field diffuse total ratio detection equipment and a wide-view-field diffuse total ratio detection method, relates to the field of environmental spectrum detection, and solves the problems of incapability of synchronous observation, incapability of considering wide view field and high precision, complex system, high cost, difficulty in deployment and calibration, poor practicability and incapability of adapting to field (such as gobi) long-term diffuse total ratio observation requirements in the existing diffuse total ratio detection technology. A diffuse total ratio detection device comprises double fisheye lenses, double hyperspectral cameras and a control part, adopts a fixed optical structure, remarkably improves the severe environment resistance of the device, and is suitable for field long-term operation. The method is suitable for detection of diffuse total ratio parameters in the fields of satellite optical load calibration, atmospheric radiation characteristic research, photovoltaic power station irradiation resource evaluation and the like.

The invention discloses a construction method and system of a sea surface temperature inversion model and a sea surface temperature inversion method. The construction method comprises the following steps: determining a plurality of simulated sea surface temperatures of a plurality of observation scenes; determining a plurality of target observation wavebands corresponding to the plurality of observation scenes; for any observation scene, determining a plurality of target sea surface emissivity under any target observation wave band; for any observation scene, obtaining a simulated on-satellite brightness temperature of the detection load according to any target sea surface emissivity, any simulated sea surface temperature in the observation scene and an atmospheric radiation parameter corresponding to any target observation zenith angle; for any observation scene, obtaining a simulation data set of the observation scene according to the simulation on-satellite brightness temperature, the atmosphere total water vapor content, the atmosphere bottom layer temperature and the sea surface temperature of all the corresponding target observation wavebands and the sea surface emissivity of all the target observation wavebands; and obtaining sea surface temperature inversion models corresponding to the observation scenes according to the simulation data sets corresponding to the observation scenes.

The present application relates to the technical field of Internet of Things, and more particularly to an aerosol remote sensing quantitative inversion method based on a nonlinear surface reflectivity model, wherein samples with AOD values less than 0.2 are screened out from auxiliary satellite-load AOD data sets as background values for atmospheric correction of target loads, surface reflectivity in different channels is obtained by means of an atmospheric radiation transmission model in cycles of solar, satellite observation angle and azimuth variation, a mathematical model suitable for each set of surface reflectivity relationship is established by analyzing the variation law and significance of surface reflectivity between channels with respect to key parameters such as observation geometry, surface type and surface vegetation parameters in different seasons, the nonlinear variation law of surface reflectivity with respect to observation geometry and surface parameters is considered, and the AOD inversion precision is improved. Meanwhile, the variation law of surface reflectivity with respect to surface parameters is analyzed, and the variation law of surface reflectivity is better described, which can be used for aerosol remote sensing quantitative inversion of various satellite remote sensing data.

The invention discloses a modeling method of a multi-satellite collaborative spectral radiation observation migration conversion model. The modeling method comprises the following steps: firstly, acquiring and configuring an input parameter set, and performing forward analog calculation by using an MODTRAN atmospheric radiation transfer model to obtain hyperspectral radiation brightness data; then, standard spectral response functions of different intergenerational multispectral sensors in the selected satellite are loaded into an MODTRAN atmospheric radiation transfer model, or post-processing convolution integration is carried out on hyperspectral radiance data, and simulated channel radiance values of all channels of the selected satellite in the same input observation scene are output; then performing pairing analysis to obtain a pairing sample set, and constructing a radiation migration relation model to perform training and precision verification; and finally, applying the radiation migration relation model to the remote sensing observation data of the selected satellite to realize the unification of the radiation reference of the observation data among the multi-spectral sensors among different generations of the selected satellite, and generating a long-time-sequence radiation data set with time sequence continuity and cross-platform / cross-generation consistency.

The application provides a hyperspectral remote sensing image generation method and device based on three-dimensional scene radiation simulation, and relates to the technical field of remote sensing data processing, aiming to solve the technical problems of high cost of hyperspectral remote sensing image data acquisition, few data sources and low resolution in the prior art. The method comprises the following steps: determining three-dimensional scene data according to user requirements; inputting the three-dimensional scene data into a pre-constructed hyperspectral imaging simulation model and performing the following operations: based on a global coordinate system, starting from the origin, emitting randomly distributed light rays to the three-dimensional scene object through a virtual imaging plane, the three-dimensional scene object is used to simulate the optical response of the real ground object structure after the light rays are incident; determining the intersection point of each light ray and the three-dimensional scene object; according to the geometric information and material information corresponding to the intersection point, combining the atmospheric radiation parameters, the radiation information of the light ray is calculated and the radiation data at the entrance pupil of the remote sensor is obtained; generating a hyperspectral remote sensing picture according to the radiation data at the entrance pupil.

The invention relates to a calculation method for solving the sky radiance and the atmospheric transmittance of a Mars sand and dust environment, and belongs to the technical field of Mars exploration. Comprising the following steps: Mars atmosphere characteristic modeling: combining data, dust rules and normal distribution characteristics to construct a layered atmosphere particle input model; based on the Mie scattering theory and the Mars atmospheric parameters, the scattering characteristics and radiation transmission of particles are calculated; solving atmospheric radiation transmission; and performing multi-parameter coupling spectral response analysis, transmittance calculation and radiance calculation. Based on the Mie theory and the Monte Carlo method, key factors such as scattering and absorption of sand and dust particles, the solar elevation angle and the atmospheric structure are completely considered, the radiation characteristics in the Mars sand and dust environment can be relatively truly reflected, the simulation precision of the Mars complex atmospheric environment is remarkably improved, and the landing precision requirement is met.

The application discloses a wide-range fast optical satellite sensor on-satellite observation radiance simulation method and belongs to the technical field of satellite sensing data processing.The application is a method for quickly obtaining wide-range optical satellite sensor on-satellite observation radiance by combining an atmospheric radiation transmission model with a machine learning method.First, a large number of high-precision and representative atmospheric profiles are used as input parameters of atmospheric radiation transmission model simulation to obtain a large number of simulated on-satellite radiance values and corresponding ground state, observation angle and atmospheric state parameter data sets as training data sets for constructing a machine learning algorithm, a machine learning algorithm is used to fit the nonlinear relationship between the on-satellite radiance and the influence factors in the simulation results, and a machine learning model capable of quickly predicting the on-satellite observation radiance of the optical satellite sensor is obtained.The application solves the problem that the sensor has no corresponding global channel reflectivity, and greatly shortens the simulation time and computing resources required.

The present invention provides a high-precision and high-temporal-resolution terahertz band τ-radiation measurement device, comprising an antenna module, a calibration assembly, a local oscillator signal source module, a refrigeration module, a superconducting receiver module, a data acquisition module, and a system control module. Measurement of atmospheric opacity and calibration of atmospheric radiation temperature at any site orientation are realized by means of the antenna module and the calibration assembly. The superconducting receiver module uses a superconducting SIS mixer, achieving an order-of-magnitude improvement in detection sensitivity compared with room-temperature Schottky mixer receivers. On the basis of the characteristics of narrow-band frequency gating and fast real-time spectral data readout of a high-spectral-resolution real-time FFT spectrometer of the data acquisition module, high-precision and high-temporal-resolution atmospheric opacity measurement can be realized. Additionally, by utilizing the high-frequency-resolution spectral processing capability of the real-time FFT spectrometer of the data acquisition module of the device, the device can function as a high-sensitivity and high-spectral-resolution spectral line receiver, thereby realizing high-spectral-resolution terahertz astronomical molecular spectral line observation.

The application discloses a method for obtaining SO2 concentration image by correcting light dilution effect of camera image. The method comprises the following steps: taking an original image by an SO2 ultraviolet camera system, processing light intensity information contained in the original image, combining corresponding distance information and atmospheric radiation transmission formula, and inversely calculating atmospheric extinction coefficient; correcting light dilution effect of a smoke plume image collected by the SO2 ultraviolet camera system by using the extinction coefficient, and then inversely calculating the SO2 concentration image by using a standard bubble method calibration curve. The method overcomes the limitation that the standard bubble method calibration can only be used for monitoring pollution gas at a short distance, and fully utilizes information contained in a picture taken by the SO2 ultraviolet camera. The method is simple and independent in operation, high in calibration precision, and low in cost.