282 results about "Radiance" patented technology

The invention relates to the technical field of gas leakage detection, and discloses an infrared imaging radiation correction method and system for gas leakage detection, and the method comprises the steps: obtaining the distribution data of dark current noise, and the mapping relation parameters of an image gray value and a radiation brightness value; acquiring infrared radiation of the gas leakage scene by using an infrared detector to obtain an original infrared image; based on the distribution data of the dark current noise, performing pixel-by-pixel compensation on the original infrared image to generate an infrared image after dark current correction; extracting the radiation intensity distribution of the infrared image after dark current correction, calibrating the radiation value of each pixel in the infrared image based on the mapping relation parameter between the image gray value and the absolute radiation brightness value, converting the image gray value into the absolute radiation brightness value, and generating the infrared image after radiation calibration; and outputting an infrared image after radiometric calibration for subsequent gas leakage area identification and feature analysis. According to the invention, a high-quality and quantifiable radiation quantification image can be output.

The invention discloses an electronic component early fault detection method based on infrared thermal imaging, and the method comprises the following steps: collecting an infrared thermal imaging image, synchronously collecting current and voltage data, and obtaining an infrared thermal imaging sequence; distortion correction, noise suppression and radiance correction are carried out on the sequence, and metal reflection false high-temperature points are removed; executing time sequence difference to extract a continuous heating area, and generating a time sequence temperature feature vector; inputting the feature vector into an improved Times Net model, and outputting time sequence feature representation; calculating a reconstruction error, a prediction residual error and a frequency spectrum deviation, and fusing into an abnormal score; comparing the abnormal score with a dynamic threshold value, and outputting an electronic component identifier, a potential fault type and an abnormal type; and an early fault trend report is generated by combining historical data comparison. The method realizes early detection and trend prediction of electronic component faults, and is suitable for state monitoring and reliability guarantee of a complex circuit system.

The invention relates to an optical satellite absolute radiometric calibration method, device and equipment under ocean low brightness based on an offshore pseudo-invariant field and a medium, and belongs to the technical field of in-orbit absolute radiometric calibration. According to the method, a marine pseudo-invariant field with stable water and atmospheric optical characteristics is determined according to marine observation data of a calibrated optical satellite, the off-water radiance of the marine pseudo-invariant field is calculated according to the chlorophyll a concentration of the marine pseudo-invariant field, the zenith radiance is theoretically calculated, a data source is provided for absolute radiometric calibration of a satellite to be calibrated, and calibration is completed. The method explores the potential of the marine pseudo-invariant field in supplementing the traditional radiometric calibration method, gets rid of the limitation of a fixed and single marine optical buoy MOBY site data source, improves the data volume, the coverage area and the acquisition frequency of effective calibration data, provides guarantee for the continuity of an optical satellite observation task, and has a wide application prospect. And a plurality of calibration sources can be utilized to realize rapid and accurate calibration of the optical satellite, so that the calibration efficiency of the offshore optical satellite is remarkably improved.

The invention provides a vacuum ultraviolet deuterium lamp spectral radiance traceability method, device and equipment, and relates to the technical field of optical metrology. The method comprises the following steps: determining relative spectral distribution of a deuterium lamp in a vacuum ultraviolet band; acquiring the spectral radiation brightness of the deuterium lamp at 200nm under the condition that the black body is used as a standard radiation source; and determining the spectral radiation brightness of the deuterium lamp in the vacuum ultraviolet band according to the relative spectral distribution of the deuterium lamp in the vacuum ultraviolet band and the spectral radiation brightness of the deuterium lamp at 200nm. The method provided by the embodiment of the invention efficiently and accurately realizes the spectral radiance traceability of the vacuum ultraviolet deuterium lamp.

The invention relates to a method for verifying a Mars sky radiance simulation result based on a Mars real-shot photo, and belongs to the technical field of Mars sky background radiance. Comprises: image acquisition; performing radiation calibration; correcting dark current; performing flat field correction; converting a radiation value; and geometric correction. The Mars sky radiance simulation method breaks through the dependence of an existing model on idealized hypothesis, performs dynamic verification by using actual shot image data, remarkably improves the authenticity and reliability of a Mars sky radiance simulation result, and effectively solves the problem of systematic deviation under a specific wave band; by constructing a complete process from image acquisition, radiation calibration, geometric modeling to brightness inversion and comparison verification, dynamic feedback and closed-loop correction of a theoretical radiation model are realized, model adaptability is improved, and fine modeling under multi-temporal and multi-meteorological conditions is supported; the method can be applied to an existing Mars rover navigation camera and an image processing link of the Mars rover navigation camera, does not need additional modification, has good engineering practicability and task compatibility, and is convenient to popularize and apply.

The invention discloses a single-satellite target sight atmospheric refraction correction method and system based on multi-spectral range finding, and relates to the field of atmospheric refraction processing, and the method comprises the steps: determining a target radiation intensity ratio based on two radiation intensities on different wavebands at the same moment; obtaining observation sight lines of the satellite on the measured target on different wave bands at the same moment, and carrying out light trace tracking to obtain a light ray tracking trajectory; determining a target grid through which each ray tracing trajectory passes from the atmosphere gridding model, determining an extinction coefficient of each target grid, and constructing a target function of a radiation intensity ratio with respect to the height of the target from the ground in combination with a radiation intensity calculation formula; determining a target height from the measured target to the ground based on a target function and a target radiation intensity ratio, determining the position of the measured target according to a track point matched with the target height in each light ray tracing track, and determining a sight line vector after atmospheric refraction correction by combining the position of a satellite, therefore, high-precision atmospheric refraction correction under a single-star observation condition is realized.

The invention relates to a high-temperature heating furnace temperature measurement system based on a temperature emissivity inversion algorithm, and belongs to the technical field of metallurgical industry temperature measurement. The system comprises a spectrum detection system, a master control upper computer and a temperature adjusting system, the spectrum detection system is used for acquiring a plurality of wavelengths and corresponding gray values of a melt in the heating furnace; the temperature adjusting system is used for adjusting the temperature of the heating furnace; the master control upper computer is used for receiving the wavelengths and the corresponding gray values obtained by the spectrum detection system to obtain the spectral radiation brightness corresponding to the wavelengths; obtaining the temperature of the melt in the heating furnace by using a free energy minimization temperature emissivity inversion method based on each wavelength and the corresponding spectral radiance; and the temperature adjusting system is controlled to adjust the temperature of the heating furnace based on the temperature of the melt in the heating furnace. Real-time and accurate temperature measurement of melts with different emissivity is realized, the production cost is reduced, and the temperature measurement precision is high.

Provided is a temperature measurement device for, in a situation where the temperature of a silicon wafer which is a measurement target is indirectly measured, removing, from actually measured radiance, the effects of radiance coming from a chamber member, and calculating the amount of change in the temperature of the measurement target. The temperature measurement device comprises: a chamber for accommodating a measurement target object; a heating unit; a chamber window at a position in the chamber opposite from the measurement target object; a temperature measurement unit for measuring the temperature of the measurement target object and the chamber window; and a computation unit for calculating the temperature of the measurement target object from detected values of the temperature measurement unit. The computation unit is provided with: a conversion unit for generating, from actually measured temperatures calculated from the detected values of the temperature measurement unit, conversion data pertaining to the amount of change in the temperature of the measurement target object corresponding to the amount of change in the temperature of the chamber window; a condition acquisition unit for acquiring a condition under which the measurement target object is heated; a detected value acquisition unit for acquiring a detected value of the temperature measurement unit; and a temperature correction unit for estimating the temperature of the measurement target object by using the conversion data to correct an actually measured temperature calculated from the detected value of the temperature measurement unit.

The invention discloses an infrared bidirectional thermal effect simulation method based on radiation and GPU acceleration, and belongs to the field of thermal radiation simulation and parallel computing. Dispersing the complex geometry into patch units, constructing an inter-patch radiation energy balance equation based on a radiance theory, and iteratively solving the final temperature of the patches through a radiance method; a three-level parallel strategy of a task level, a data level and an instruction level is designed, data intensive tasks such as shape factor calculation and radiance iteration are migrated to a GPU to be executed, data storage is optimized in combination with a structure array (SoA) layout and a sparse matrix compression technology, and efficient data sharing of a CPU end and a GPU end is achieved through a CUDA zero copy technology. According to the method, the dependence of a traditional method on regular grids is broken through, the calculation efficiency and precision of million-level surface patch heat radiation transmission in a complex scene are remarkably improved, and an efficient tool is provided for heat radiation indirect transmission calculation and a global illumination model in the field of three-dimensional scene infrared simulation.

The invention discloses a ground photometer aerosol parameter inversion algorithm based on integrated machine learning. According to the method, a training data set for training an integrated machine learning model is obtained by adopting a forward radiation transmission simulation model, and the training data set is independent of an aerosol product of an existing algorithm and observation interfered by noise; the algorithm has good generalization ability and is excellent in performance after being used for real observation of a photometer, and inverted aerosol parameters have the ability of representing aerosol types; an aerosol inversion algorithm based on an integrated machine learning model is developed aiming at observation of a ground photometer, and the time for completing aerosol inversion for one time is at a millisecond level; the multi-band and multi-angle radiance observation can be utilized at the same time to invert aerosol parameters of multiple bands at a time; any prior hypothesis and smooth constraint are not needed during aerosol parameter inversion, inversion result loss caused by non-convergence of gradient descent in a numerical inversion algorithm is avoided to a certain extent, and waste of effective observation is reduced.

The invention relates to a land surface temperature and emissivity joint inversion method and system and a medium. The inversion method comprises the following steps: acquiring radiation brightness vectors observed by a satellite sensor in a plurality of thermal infrared bands as observation radiation brightness vectors; constructing a standard emissivity spectrum dictionary database as a dictionary matrix; defining a generation rule of the surface emissivity; establishing a forward physical model, and taking an analog value of the observed radiance vector as model output; defining a likelihood function of an observation radiance vector, defining sparsity prior probability distribution for the sparse coefficient vector, and defining uniform prior probability distribution for the surface temperature; joint posterior probability distribution of the surface temperature and the sparse coefficient vector is calculated, and multiple groups of samples are extracted; calculating a posteriori estimation value and an uncertainty interval of the surface temperature; and calculating a posteriori estimation vector of the sparse coefficient vector, and multiplying the posteriori estimation vector with the dictionary matrix to obtain a posteriori estimation value of the surface emissivity. The automation level of remote sensing information extraction and the information output efficiency are improved.

The invention relates to the technical field of infrared temperature measurement, in particular to a calibration method for an infrared temperature measurement device, and the method comprises the steps: calculating a first spectral radiation quantity at a reference temperature and a second spectral radiation quantity at an ambient temperature; based on the first spectral radiation quantity and the second spectral radiation quantity, the spectral average emissivity of the target surface of the blackbody calibration source at the reference temperature is obtained, the third spectral radiation quantity of a calibration temperature reference value is obtained through calculation, reverse calculation is conducted on the third spectral radiation quantity, and the calibration temperature reference value is obtained; a response model is constructed based on a calibration temperature reference value, a gain coefficient and a bias coefficient are obtained by solving the response model, a gain value of the infrared temperature measuring device is corrected based on the gain coefficient, and a bias value of the infrared temperature measuring device is corrected based on system bias. The whole calibration process of the method is convenient and easy to operate.

The invention relates to the technical field of optical precision measurement, in particular to a rotation and translation absolute calibration method based on a nerve radiation field, a medium and equipment. The method comprises the following steps: acquiring at least three groups of interference measurement data of a measured mirror under original, rotation and translation poses by using an interference measurement system to be calibrated, inputting pixel coordinates and position coding information in the data into a neural radiation field network, optimizing network parameters through a self-supervised training strategy, and completing calibration of a reference mirror surface shape. Compared with a traditional Zernike method, the scheme adopts a neural radiation field to construct a double-branch network, can adaptively learn complex surface shape space distribution, and improves medium-high frequency error separation precision; the error of the reference mirror and the measured mirror is synchronously and directly output by double branches without successive dependence, so that error transmission and accumulation are avoided; the self-supervised training mechanism implicitly compensates pose deviation and noise interference through redundancy constraint, and shows higher engineering robustness.

The invention relates to the technical field of spectral radiation measurement, in particular to a conversion device for long-term measurement of radiance and irradiance by a spectrograph, which comprises a mounting plate, a turnover mechanism, a shell, an optical fiber and a cosine receiver, the turnover mechanism is connected with the bottom end of the mounting plate; the bottom end of the turnover mechanism is connected with the shell; the first end of the optical fiber is arranged in the shell, and the second end penetrates out of the shell; a through hole is formed in the shell, and an opening is formed in the bottom; the through hole is communicated with the opening; the first end of the optical fiber can move in the through hole in the axial direction of the optical fiber; the cosine receiver is movably connected with one surface, deviating from the mounting plate, of the shell so as to open or close the opening; the cosine receiver is of a flip structure; in a radiance measurement state, the cosine receiver opens the opening; in an irradiance measurement state, the turnover mechanism can turn over the shell to the position above the mounting plate, and the cosine receiver closes the opening. The conversion device cancels a traditional light path switcher, and the spectral radiation detection precision is improved.

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.

A method and a system have been developed to calibrate the total spectral radiance factor (TSRF) obtained from different instruments. A broad-band light source covering the whole visible range as well as the fluorescence excitation wavelengths is used to measure the TSRF, and one or more narrow-band light sources outside of the fluorescent band is used to measure fluorescent spectral radiance factor (FSRF) separately. After that, the TSRF is adjusted by the FSRF, and a calibrated TSRF can be obtained. This can be applied to characterize Optical Brightening Agents (OBAs) as well as other fluorescent materials without requiring any moving part of the instrument to do the calibration.

The invention provides a dry-farming oat growth vigor monitoring method and system based on unmanned aerial vehicle hyperspectral remote sensing, and relates to the technical field of dry-farming oat growth vigor monitoring. The reflectivity of each image pixel under different spectral band conditions is calculated through the absolute radiation brightness and the known reflectivity of the reference plate, the average reflectivity of the unit grids in different spectral bands is obtained, a linear product is adopted to construct a growth score index, the growth score index of each grid unit is clustered by adopting a K-means clustering method, and the average reflectivity of each grid unit is calculated. And outputting the clustering condition of the growth vigor of the dry farming oats of the grid units, and setting a judgment threshold according to the clustering condition of the growth vigor of the dry farming oats to realize growth vigor classification. A reference plate is introduced to calibrate the reflectivity, the pixel-level absolute reflectivity is calculated through a radiation transfer equation, and the influence of illumination condition changes is eliminated; k-means clustering is adopted to automatically divide growth vigor levels, and a threshold value can be generated in a self-adaptive mode based on data distribution.

The invention provides a methane parameter estimation method, system and device, a medium and a product, and relates to the technical field of satellite remote sensing, and the method comprises the following steps: obtaining radiance image data and effective wind speed data corresponding to a target area; acquiring a background covariance matrix, an earth surface albedo correction factor and a background covariance correction factor according to the radiance image data; according to the radiance image data, the background covariance matrix, the earth surface albedo correction factor, the background covariance correction factor and the target spectral data, performing methane column concentration inversion processing to obtain methane column concentration increment image data corresponding to the target area, the target spectral data is obtained based on a pixel mean value and a unit absorption spectrum coefficient corresponding to the radiance image data; and obtaining a methane parameter estimation result in the target area according to the methane column concentration increment image data and the effective wind speed data. According to the method, the methane parameter estimation efficiency and accuracy are effectively improved.

The invention discloses a self-adaptive thermal management device of a shape memory Janus array structure, a preparation method of the self-adaptive thermal management device and application of the self-adaptive thermal management device in a deep space probe, and belongs to the technical field of self-adaptive thermal management. The problem that the heat dissipating capacity of a traditional radiation radiator with the single heat radiation characteristic cannot be adjusted is solved. The temperature response shape memory Janus array is adopted as a driver of the self-adaptive thermal management device, and switching of different thermal management modes under the condition of no external energy consumption is achieved. When the temperature is lower than the phase change temperature, the shape memory Janus array is in a pressed-down state, the low-emissivity coating coated on one side of the comb teeth is exposed, and the heat loss of infrared radiation is effectively inhibited by utilizing lower infrared emissivity. When the temperature is higher than the phase change temperature, the shape memory Janus array is in an inclined state, and the high-emissivity coating coated on the other side of the comb teeth is exposed, so that energy increase caused by solar radiation is prevented, and effective heat release is promoted.

The invention belongs to the technical field of quantitative remote sensing, and relates to a mid-infrared hyperspectral emission and reflection characteristic integrated inversion method, which comprises the following steps: acquiring mid-infrared hyperspectral satellite remote sensing data, and optimizing sensing entrance pupil radiance data to obtain optimized entrance pupil radiance data; the intermediate infrared hyperspectral satellite remote sensing data comprises sensing entrance pupil radiance data; performing atmospheric correction on the optimized entrance pupil radiance data by using a radiation transfer model to obtain surface brightness temperature and atmospheric downward radiation, and calculating solar irradiance reaching the surface; constructing a mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework, and performing earth surface bi-directional reflectivity inversion based on the mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework to obtain earth surface bi-directional reflectivity and earth surface equivalent radiance; constructing a scene self-adaptive framework, and performing inversion based on the scene self-adaptive framework to obtain the surface temperature and the surface emissivity; therefore, accurate separation of surface emission radiation and surface reflection radiation is completed.

A method for correcting reflected radiation in radiation thermometry through a calibration experiment. A blackbody furnace is used to calibrate the radiation thermometry sensor to obtain the relationship between the system input radiance and the output. Then, in a temperature measurement environment with a high-temperature background, the reflected radiation is calibrated to establish the functional relationship between the reflected radiation and the system output. In subsequent temperature measurement experiments, the radiation energy received by the system is corrected according to the established functional relationship, and the true temperature of the object is calculated according to the radiation thermometry principle. The method of the present invention solves the problem that the reflected radiation under a high-temperature background affects the temperature measurement of the object, can effectively eliminate the temperature measurement error caused by the reflected radiation, and realizes high-precision temperature measurement.

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.

This invention relates to the field of water radiance measurement technology, and particularly to an enhanced water radiance sensor based on a polarizing filter. The sensor comprises a polarizing filter, a Kohler illumination system, a shaping fiber bundle, a spectrometer, and a host computer, arranged sequentially. The polarizing filter is positioned at a preset position at the front end of the optical path of the Kohler illumination system, which converts natural light from the water surface into a uniform and controllable light source. The incident end of the shaping fiber bundle is connected to the Kohler illumination system, and the exit end is connected to the spectrometer. The spectrometer is connected to the host computer. The water radiance passes sequentially through the polarizing filter, the Kohler illumination system, and the shaping fiber bundle before entering the spectrometer. The spectrometer converts the received optical signal into an electrical signal and transmits it to the host computer. The advantage of this invention is that by employing the Kohler illumination system, the field of view of the enhanced water radiance sensor is reduced to ±2°, solving the problem of poor glare suppression under large field of view in traditional sensors.

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 invention discloses a method and a system for measuring and calculating a signal-to-noise ratio of an uncooled infrared detection system, relates to the technical field of infrared target detection, and solves the problems that parameters of an uncooled detector are lost during research and development of a low-cost infrared system and detection effects of different view field angles of a large-view-field system are different. The radiance at the entrance pupil is calculated through the target radiance and the atmospheric transmittance, the irradiance and the illuminance from the pupil to the center of an image plane are derived based on optical system parameters, the irradiance related to a field angle is obtained according to a geometrical relationship for large-field edge illuminance attenuation, and the irradiance related to the field angle is obtained according to a geometrical relationship for a point target which is not filled with a photosensitive element. Calculating the projection on the photosensitive element and the signal radiation quantity received by the pixel; the noise equivalent temperature difference is tested by adopting a collimation method, and the value is obtained by combining a collimator and the spectral transmittance of an optical system so as to calculate the noise power; and the signal-to-noise ratio is calculated by combining the signal amplitude-flux. The method solves the problem of parameter loss through actually measured noise equivalent temperature difference value estimation, considers view field energy attenuation in the evaluation process, and is suitable for fine evaluation of a large view field system.

The invention discloses an infrared radiation calibration method and device considering a test distance, equipment and a storage medium. The method comprises the following steps: constructing an infrared radiation physical model considering the integral time of an infrared detector and the test distance of a target; and utilizing the training set and the coefficient learning network model to fit parameters in the infrared radiation physical model to obtain an optimal solution of the parameters, and applying the optimal solution to the infrared radiation physical model to complete infrared radiation calibration. According to the method, the influence of the test distance and the integral time on the relationship between the gray scale image and the radiation brightness is considered, so that the infrared radiation physical model is constructed, the accuracy of the radiation calibration result is improved, and the accuracy of the radiation calibration result is improved by utilizing the gray scale image under different test distance and integral time combinations. And parameters of the infrared radiation physical model are optimized by a training set consisting of the grey-scale maps and the black-body radiance corresponding to each grey-scale map, so that the infrared radiation physical model can set an optimal solution, and the measurement precision of the infrared radiation measurement system on the target radiance distribution is improved.

The invention relates to the technical field of remote sensing image quality control, and discloses an unmanned aerial vehicle hyperspectral remote sensing image inland water flare judgment method and device, and the method comprises the steps: obtaining the wavelength data of each pixel point in a remote sensing image and the radiation brightness data corresponding to each wavelength data; determining a saturated flare characteristic wave band and an unsaturated flare characteristic wave band according to the spectral curve characteristics of each content in the remote sensing image; identifying saturated flare pixels and unsaturated flare pixels in the remote sensing image according to the wavelength data and the radiation brightness data of each pixel point in the saturated flare characteristic wave band and the unsaturated flare characteristic wave band; and judging whether the remote sensing image is available or not according to the positions and proportions of the saturated flare pixels and the unsaturated flare pixels relative to the focus region in the remote sensing image. According to the method, whether the content contained in the pixel is the flare pixel is judged according to the spectral curve characteristics of the pixel points in the remote sensing image, and then whether the remote sensing image is available is judged according to the position and proportion of the flare pixel in the focus region of interest.

An embodiment of the present invention relates to an infrared scene simulation system and method. The system includes a model construction module for constructing a model to be simulated, where the model to be simulated includes a background model and a target model; a scene construction module for setting the positions and movement trajectories of the background model and the target model to form a preset visible light scene and setting scene parameters of the visible light scene; an atmosphere calculation module for calculating the atmospheric transmission transmittance, the background and surface scattering radiation intensity, and the direct solar irradiance under the scene parameters; a thermal feature solving module for calculating the temperature fields of the background model and the target model; an infrared characteristic calculation module for calculating a first infrared radiance image of the visible light scene based on the temperature fields and simulation parameters; and a sensor effect calculation module for introducing sensor effects to the first infrared radiance image based on sensor parameters to generate a final infrared simulation image. This system can obtain infrared images under any scene with high imaging efficiency.

The application relates to the technical field of space remote sensing, and specifically provides a three-dimensional radiance calculation method and application of a high-resolution remote sensing scene. First, a surface cell grid of a three-dimensional space is created, spontaneous radiation of all triangular surface cells under sunlight irradiation is calculated, a traditional RGM model is improved, a plurality of threads of a GPU are used to perform parallel calculation of a visibility factor under an OpenACC parallel framework, a successive over-relaxation method is used to iteratively calculate radiation flux density of the surface cells, after the radiation flux density of each surface cell is obtained, bidirectional reflectivity BRF under different observation angles is calculated, efficient simulation of bidirectional reflectivity and radiation transmission of a complex scene is realized. The application significantly improves the calculation speed of an original RGM model, the calculation speed is improved by nearly 70 times through testing, and when a large-scale scene is simulated, ten million small surface pieces can be processed without sacrificing precision.

The present invention provides a method for calibrating the radiation brightness of a spectral imager. The method uses a spectral imager that has completed radiation calibration in combination with a BP neural network to complete radiation calibration for a spectral imager that responds to a known DN value, thereby solving the problem of traditional methods relying on expensive calibration instruments, complex calibration operations, and harsh experimental conditions. It is only necessary to use an uncalibrated spectral imager and a calibrated spectral imager to simultaneously shoot several images of unknown scenes, and analyze and calculate the spatial geometric relationship between the shooting angles and image resolutions of the calibrated spectral imager and the uncalibrated spectral imager. The BP neural network is used to fit the mapping relationship between the DN value image of the calibrated spectral imager and its radiation brightness image. Based on the numerical relationship between the DN value images shot by the two spectral imagers and the analyzed spatial geometric relationship, the radiation brightness is calculated from the DN value shot by the uncalibrated spectral imager using the fitted mapping relationship.