100 results about "Atmospheric radiation" patented technology

The invention discloses a quality-graded remote sensing image composite cloud removal method, system and device. The method comprises the following steps: preprocessing an acquired remote sensing image; based on the preprocessed data, thin cloud radiation correction is carried out; based on the data after thin cloud radiation correction, thick cloud detection is carried out; based on the data after thick cloud detection, thick cloud missing reconstruction is carried out; performing atmospheric correction based on the data after the thick cloud missing reconstruction; and performing data quality grading based on the data after atmospheric correction. According to the method, a series of standardized processing is realized on data acquired under different space and time conditions, the influence of atmospheric radiation attenuation is eliminated, and the data are formatted into surface reflection data with consistent observation characteristics, so that the utilization rate of remote sensing images is improved, and effective comparison and analysis of subsequent application research are promoted.

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 discloses an optical system which comprises a first lens, an optical filter and a second lens which are sequentially arranged in the optical path transmission direction, and further discloses a measuring device which comprises the optical system, the lower end of a detector cold shield is connected with a transition block, the lower end of the transition block is connected with a supporting column, the lower end of the supporting column is connected with a shell, and a Dewar flask is arranged on the shell. A detector is arranged on the end face, located in the detector cold screen, of the transition block. A turntable and a turntable base are sequentially connected below the shell; the imaging optical system is integrated into the structure of the vacuum cavity of the refrigeration type long-wave focal plane infrared detector, so that the refrigeration type long-wave focal plane infrared detector has a large-view-field imaging function, and the measuring device is portable and can meet the requirement for rapidly measuring atmospheric radiation spatial and temporal distribution.

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.

Disclosed is a method for determining an atmospheric radiative forcing difference by optimising or preventing contrail formation caused by an aircraft. The method comprises receiving one or more weather parameters to determine contrail forecast data; receiving one or more flight parameters associated with aircraft to determine flight data; determining tentative atmospheric radiative forcing quantity, along tentative flight trajectory, based on contrail forecast data and flight data; altering one or more flight parameters to determine optimised flight trajectory having optimum atmospheric radiative forcing quantity, wherein optimised flight trajectory is validated using imagery data; and determining an atmospheric radiative forcing difference to evaluate offset value for at least one forcing parameter associated with atmospheric radiative forcing difference. Disclosed also is an apparatus for determining atmospheric radiative forcing caused by aircraft by optimising or preventing contrail formation. Further, disclosed is computer program product to carry out aforementioned method.

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 belongs to the technical field of space atmospheric optical remote sensing, and particularly relates to a method for inverting an ozone concentration profile through airglow radiation of an oxygen atmospheric zone and a near-infrared atmospheric zone. According to the method, airglow radiation signals of the O2 atmospheric zone and the near-infrared atmospheric zone are combined, the ozone profile within the near space of 30 km to 130 km is obtained through calculation according to the photochemical reaction principle and the atmospheric radiation transmission model, and compared with a traditional O3 concentration profile inversion method, the method has better accuracy and a larger vertical coverage range.

The invention discloses a large-aperture antenna microwave radiometer on-orbit calibration method based on cold air analysis, belongs to the technical field of microwave radiometer calibration, and is applied to stationary orbit microwave radiometer calibration. The implementation method comprises the following steps: 1, observing an atmospheric target by using an antenna to obtain atmospheric radiation energy; 2, the receiver determines the gain of the receiver in a gain mode; 3, the microwave radiometer observes cold air through the receiver to obtain cold air radiation energy; 4, the microwave radiometer observes the cold air through the antenna to obtain cold air radiation energy; and 5, observing the atmosphere target and the antenna error by using the antenna to obtain the atmosphere target brightness temperature. In order to correct the deformation and self-radiation influence of the main reflecting surface and the auxiliary reflecting surface of the external antenna, a receiver can directly observe the cold air and can also observe the cold air through the antenna surface, and the overall influence of the real-time antenna is obtained through an offset modeling mode, so that the correction on the overall influence of the antenna in the calibration process is realized. And the problem that the large-aperture antenna microwave radiometer is difficult to calibrate can be solved.

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 invention discloses a microwave radiometer data flow calibration method based on basic data support, belongs to the technical field of microwave radiometer calibration, and is applied to stationary orbit microwave radiometer calibration. The implementation method comprises the following steps: 1, defining coefficients for radiation brightness temperature and temperature conversion and cosmic background brightness temperature coefficients for a receiver to observe cold air; 2, antenna parameters used for completing antenna pattern and self-radiation correction are set; 3, setting receiver parameters used for completing two-point calibration of the receiver; 4, two-point calibration is carried out by using parameters of the antenna and the receiver, so that the atmospheric brightness temperature is obtained; and 5, correcting the atmospheric radiation brightness temperature obtained in the step 4 by using an antenna pattern and antenna self-radiation in a de-noising manner to obtain a corrected atmospheric radiation brightness temperature parameter which is used for iterative correction of an antenna and a receiver. The influence is eliminated through the correction technology, the radiation brightness temperature of the atmosphere can be accurately measured, and the method has good economic value.