79 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 discloses a calibration performance evaluation and analysis method for a stationary satellite hyperspectral infrared detector, and the method comprises the steps: firstly obtaining an ERA5 data set and L1-level observation data of the stationary satellite hyperspectral infrared detector, and inputting the data into a rapid transmission radiation model to obtain simulated radiation data; then comparing the simulated radiation data with L1-level observation data of a stationary satellite hyperspectral infrared detector, calculating systematic deviation and carrying out deviation analysis; and finally, performing cross matching verification on L1-level observation data of the stationary satellite hyperspectral infrared detector and observation data of the polar orbit satellite infrared atmospheric detection interferometer. On the basis of an atmospheric radiation model, more accurate and reliable calibration performance daily variation characteristics are provided to replace a calibration technology by using latest high-quality data and combining multi-source reference data, so that the defects of the prior art are effectively overcome, and the quality and the application effect of detection data are remarkably improved.

The invention provides an atmospheric water vapor detection method and system based on a satellite, and relates to the technical field of satellite remote sensing, and the method comprises the steps: obtaining satellite remote sensing data and solar radiation angle data of a target area; performing correction processing according to the satellite remote sensing data and the solar radiation angle data to obtain corrected radiation data; establishing an atmospheric radiation transmission model according to the corrected radiation data, and generating radiation simulation data; performing water vapor inversion processing according to the radiation simulation data, and calculating to obtain vertical distribution data of water vapor in the atmosphere; and performing three-dimensional interpolation processing according to the vertical distribution data to obtain three-dimensional hierarchical water vapor monitoring data. According to the method, the radiation error in the satellite remote sensing data is corrected by using the solar radiation projection model, so that the radiation error problem caused by ground reflection and the sunlight angle is solved; morphological prediction is carried out on the missing area through a topology analysis technology, fitting filling is carried out in combination with neighborhood water vapor data, and the accuracy and reliability of a monitoring result are improved.

The invention provides an infrared ship image expansion method based on an unreal engine and StyleGAN3. The method comprises the following steps: calculating ship surface radiance distribution field texture and atmospheric radiation transmission data; constructing a simulated infrared sea surface based on an unreal engine; obtaining a three-dimensional dynamic infrared simulation scene based on an unreal engine; obtaining a training sample set; performing iterative training on the pattern generative adversarial network; and obtaining an expansion result of the infrared ship image. According to the method, iterative training is carried out on the StyleGAN3 through the simulated infrared sea surface and three-dimensional dynamic infrared simulation scene information obtained based on the unreal engine, so that the simulation rendering capability of the engine is fully utilized, and meanwhile, more high-resolution characteristics can be reserved; and the training sample set contains more feature changes brought by the feature distribution simulation image of the real shot infrared ship image, so that the resolution and fidelity of the expanded image are effectively 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 high-precision and high-time-resolution terahertz wave band tau radiation measuring device. The high-precision and high-time-resolution terahertz wave band tau radiation measuring device comprises 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 atmospheric radiation temperature calibration in any direction of a station site are realized through the antenna module and the calibration assembly. The superconducting receiver module adopts a superconducting SIS mixer, the detection sensitivity is improved by one order of magnitude compared with that of a normal-temperature Schottky mixing receiver, and high-precision and high-time-resolution atmospheric opacity measurement can be realized by combining the narrow-band frequency gating and real-time spectrum data quick reading characteristics of a high-spectrum-resolution real-time FFT spectrum analyzer of the data acquisition module. And meanwhile, a real-time FFT frequency spectrograph of the data acquisition module of the device has high-frequency-resolution frequency spectrum processing capability, so that the device can be used as a spectral line receiver with high sensitivity and high frequency spectrum resolution, and terahertz astronomical molecule spectral line observation with high frequency spectrum resolution can be realized.

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 embodiment of the invention discloses a medium-wave infrared spectrum calibration method and device, electronic equipment and a program product. The method comprises the following steps: acquiring a reference water vapor absorption spectrum in a medium-wave infrared target wave band; in the medium-wave infrared target wave band, an atmospheric radiation spectrum is determined by a water vapor absorption spectrum, and the waveform stability degree of the reference water vapor absorption spectrum is higher than a set threshold value; obtaining a medium-wave infrared radiation interference signal observed by the infrared spectrum detector; determining a spectrum calibration coefficient by optimizing the deviation between an observation spectrum corresponding to the medium-wave infrared radiation interference signal and the reference water vapor absorption spectrum; and realizing the spectrum calibration of the infrared spectrum detector by using the spectrum calibration coefficient. According to the technical scheme, the medium-wave infrared band observation data is directly used, and spectrum calibration is carried out on the medium-wave infrared observation spectrum.

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 rural wetland water quality monitoring method based on unmanned aerial vehicle multispectral images and machine learning, and belongs to the field of water quality monitoring methods. A DUPLEX algorithm is adopted to optimize sampling distribution points, and unmanned aerial vehicle multispectral images and in-situ water samples are synchronously collected. Geometric correction and improved 6S atmospheric radiation correction are performed on the acquired image, and a water body is extracted through an improved watershed segmentation algorithm. And constructing a multi-dimensional feature system, screening optimal features by adopting RFECV, constructing a two-stage integrated learning framework by taking XGBoost and LightGBM as base learners, and generating a water quality parameter spatial distribution diagram in combination with Kriging interpolation. The method has the following advantages: (1) the optimized sampling and improved atmospheric correction model are adopted, so that the data precision is improved; (2) constructing a multi-dimensional feature system and combining recursive feature elimination to improve feature selection efficiency; (3) a two-stage integrated learning framework and spatial interpolation optimization are adopted, so that the parameter estimation precision is improved; and (4) compared with the traditional method, the method has the advantages of high temporal-spatial resolution and global coverage.

The invention relates to a near space low earth orbit satellite and satellite constellation luminosity spectral measurement method, which comprises the following steps: acquiring a low earth orbit satellite and satellite constellation model, and carrying out two-dimensional surface element grid division on the low earth orbit satellite and satellite constellation model; reconstructing a low earth orbit satellite and a satellite constellation model by using the divided surface element data, establishing different satellite and satellite constellation model scenes, and obtaining vector data of the satellite and the satellite constellation changing along with the solar altitude angle and the solar azimuth angle; and calculating the luminosity spectrums of satellites and satellite constellations in different observation scenes according to the vector data in combination with a bidirectional reflection distribution function model and an atmospheric radiation transmission model. The invention aims to improve the precision and stability of observation data, and compared with a space-based observation platform, the deployment and recovery cost of the near space observation platform is lower, and the observation position and angle are easier to adjust. The limitation of foundation observation and space-based observation is overcome, the observation precision and flexibility are improved, and an important means of diversified research is supported.

The invention discloses an atmospheric high-resolution radiation transfer calculation method for greenhouse gases, which is used for simultaneously calculating absorption of molecules and scattering action and earth surface reflection of particulate matters with high spectral resolution, and comprises the following steps: acquiring atmospheric state parameters; doppler broadening, collision broadening and comprehensive broadening under the combined action of the Doppler broadening and the collision broadening are calculated, and the absorption coefficient of atmospheric molecules, the total optical thickness of the atmospheric molecules and light intensity attenuation caused by the absorption action are calculated; the scattering coefficient and the extinction coefficient of the particulate matter are calculated; integrating the land reflectance and the ocean reflectance to obtain global surface reflectance; the absorption of atmospheric molecules in the radiation transmission process and the attenuation of cloud and aerosol in the radiation transmission process are simulated, and the atmospheric roof radiance is obtained by combining the global surface reflectance simulation. Compared with an existing atmospheric radiation transmission model, the method has the advantages of high accuracy, high resolution and the like, is suitable for multiple scenes, and lays a foundation for satellite load forward modeling and inversion algorithm development.

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 an atmospheric water vapor monitoring method and system based on a remote sensing satellite, and belongs to the technical field of atmospheric monitoring. Atmospheric radiation data of near-infrared and thermal infrared bands are obtained through the multispectral sensor, geometric correction is carried out by combining satellite orbit and attitude data, data errors caused by satellite position and attitude changes are eliminated, monitoring precision is improved, data quality is further optimized through radiation calibration and atmospheric correction, and the method is suitable for large-scale popularization and application. According to the method, the accuracy of water vapor content inversion is ensured, an atmospheric radiation transmission model is adopted to perform water vapor content inversion, model parameters are adaptively adjusted by setting a precision threshold, a calculation result is optimized, the monitoring reliability is improved, regions are classified based on a final monitoring result, drought, rainstorm and flood risks are automatically identified, and early warning information is generated. Decision support is provided for prevention and control of meteorological disasters, and the precision, timeliness and applicability of atmospheric water vapor monitoring are improved.

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 invention discloses an aerosol optical thickness inversion method and device and electronic equipment, and relates to the technical field of remote sensing, and the method comprises the steps: determining at least one highlight image block in a to-be-processed target remote sensing image; simulating the simulated surface reflectance of the highlight image block under a plurality of different aerosol optical thicknesses by using an atmospheric radiation transmission model; determining a target surface reflectance curve of a target highlight surface block corresponding to the highlight image block from a surface reflectance library of the highlight surface; determining the reference surface reflectance of the highlight image block at the acquisition time point by using the target surface reflectance curve; determining at least one target simulated surface reflectance matched with the reference surface reflectance; 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 surface reflectance. According to the method, the aerosol optical thickness of the highlight earth surface can be accurately inverted.

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 present invention discloses a method for rapidly retrieving and inverting atmospheric pollution component profiles based on hyperspectral observations, comprising: using solar scattering spectra obtained at different observation angles as a data source, obtaining the total amount of observed differential slant paths of atmospheric pollution components, and performing rapid statistical simulation and iteration in combination with a differential atmospheric mass factor lookup table constructed according to an atmospheric radiation transfer model, ultimately obtaining the vertical distribution of atmospheric pollution components, greatly improving the profile inversion speed while ensuring the rationality and reliability of the inversion results, and at the same time, providing a quality control scheme for the inversion results.

The present invention provides a method and system for generating hyperspectral classification samples based on image simulation. The scheme includes obtaining a surface reflectance image; setting the atmospheric conditions and observation geometry conditions of an atmospheric radiation transfer model; calculating atmospheric effect parameters using the atmospheric radiation transfer model according to model operation condition parameters; and simulating the surface reflectance image to generate an atmospheric top radiance image according to the atmospheric effect parameters. The scheme calculates atmospheric effect parameters under various atmospheric and observation geometry conditions based on the atmospheric radiation transfer model, combines the surface reflectance image, and simulates and calculates radiance images under various atmospheric and observation geometry conditions as samples for hyperspectral data classification, thereby enriching the classification sample data.

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.