328 results about "Radiance" patented technology

A method and device for inverting ocean-atmosphere optical parameters and storage medium. The method includes: obtaining a vector apparent reflectance ρl, ρQ, ρU of water-leaving radiance at top of atmosphere and observation geometry of a multi-angle polarized satellite, and inputting the vector apparent reflectance ρl, ρQ, ρU and the observation geometry into a trained ocean-atmosphere optical parameter model, to output a group of ocean-atmosphere optical parameters, the output ocean-atmosphere optical parameters comprise: PBOAw, FAOD / CAOD, FRm / CRm, W, CHL and SPM, the ocean-atmosphere optical parameter model is an XGBoost machine training model. In this way, the ocean-atmosphere optical parameters can be quickly and stably inverted.

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 discloses a marine radiance meter immersion factor measurement method, which belongs to the technical field of radiation value measurement, and comprises the following steps: controlling a stable halogen tungsten lamp to irradiate towards a calibration container below the calibration container, the bottom of the calibration container is a diffuse transmission plate to generate a uniform light field, and the calibration container is filled with ultrapure water; the method comprises the following steps: firstly, measuring the radiance value of the optical window of the radiance meter just immersed under the water surface, then discharging ultrapure water in a calibration container in sequence, and obtaining the radiance value when the distance between the optical window of the radiance meter and the water surface is zi; performing water attenuation correction on a measured value in the air of the radiance meter, and extrapolating to calculate radiance when zi is equal to 0; the refractive index of the water body is calculated, and the immersion factor of the to-be-measured radiometer is calculated. According to the marine radiance meter immersion factor measuring device, the problem that in theoretical calculation, only the radiance meter optical window refractive index is considered, and different radiance meter light path design influences are ignored, so that the deviation between a theoretical calculation result and an actual value is large is solved.

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 provides an atmospheric correction method and device for a solar zenith angle lower coastal water area radiation signal. The method provided by the invention comprises the following steps: generating noon remote sensing reflectivity satellite data based on observation data of a coastal water area by utilizing an ultraviolet-near infrared atmospheric correction combination model; utilizing a maximum cross correlation method to obtain adjusted noon remote sensing reflectivity satellite data based on the spatial resolution and the time resolution of the data; calculating a Rayleigh correction radiance based on a Rayleigh scattering lookup table corresponding to the observation data, and matching the Rayleigh correction radiance with the adjusted noon remote sensing reflectivity satellite data based on time information and position information to obtain a training set; and inputting the to-be-corrected coastal water area radiation signal into the model trained based on the training set, and determining the off-water radiance of the radiation signal. According to the method and the device provided by the invention, atmospheric correction of a coastal water area radiation signal at a high solar zenith angle is realized for a turbid coastal water area.

The invention discloses a method for polar region all-day cloud detection by using FY-3D infrared channel brightness temperature, and relates to the technical field of cloud detection, and the method comprises the following steps: obtaining CALIOP data and FY-3D / MERS-II data, specifically CALIOP cloud layer product data and MERS-II observation data and positioning data, carrying out the preprocessing, and carrying out the preprocessing to obtain an FY-3D infrared channel brightness temperature; according to the method, space-time matching is carried out according to transit trajectories of CALIOP and FY-3D satellite MERS-II sensors, matched infrared channel radiance information is extracted, calculation is carried out based on the matched infrared channel radiance information, and the brightness temperature and the brightness temperature difference are calculated. CALIOP data are combined with FY-3D / MERS-II data, the CALIOP is used as a truth value standard of cloud detection, space-time matching is carried out with the FY-3D / MERS-II data, and the brightness temperature difference is calculated. The polar region all-time cloud detection is realized, the accuracy of the cloud detection is improved, and a high-quality data set is provided for the training of a subsequent machine learning model, so that the effects of being not limited by the dependence of visible light and stably working under an all-time condition are achieved.

The invention provides a satellite-borne hyperspectral load spectrum calibration method independent of ground synchronous observation, which is applied to the technical field of satellite remote sensing and hyperspectral, and comprises the following steps: constructing an actual apparent reflectance matrix of a calibration site referring to multispectral load observation based on various standard mode apparent reflectance matrixes; determining a weight coefficient matrix of spectrum reconstruction based on the spectrum matching factor and the actual apparent reflectivity matrix; constructing hyper-spectral apparent reflectivity of the calibration site; performing convolution operation based on the spectral response function of the spaceborne hyperspectral load and the hyperspectral apparent reflectivity to obtain channel radiance at the entrance pupil of the spaceborne hyperspectral load; performing spectrum normalization on the radiance of the channel at the entrance pupil of the spaceborne hyperspectral load and the actual observation value at the entrance pupil of the spaceborne hyperspectral load, and establishing a spaceborne hyperspectral load on-orbit spectrum calibration model; according to the invention, the defect that a satellite-borne hyperspectral load on-orbit spectrum calibration method excessively depends on ground synchronous observation data can be solved.

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.

To solve the problem of a radiation pyrometer that its measurable temperature range is limited because the measurable radiance range of a radiation temperature measurement sensor for measuring the radiance of radiant light is limited.MEANS FOR SOLVING THE PROBLEM: Provided is a radiant light temperature measuring device that uses a liquid crystal shutter and / or a rotatable polarizing plate in order to adjust the radiant flux density of radiant light radiated from a temperature measurement object so as to increase or decrease at a discretionary ratio, selects a conversion function held in correspondence to a ratio at which radiant flux density is adjusted, and calculates a temperature on the basis of the selected conversion function and the measured radiance.SELECTED DRAWING: Figure 1

The invention provides a hyperspectral remote sensing data atmospheric correction method based on spectral smoothness. The hyperspectral remote sensing data atmospheric correction method comprises the steps of 1, generating a representative atmospheric parameter lookup table and atmospheric roof apparent spectral radiance; 2, constructing a deep learning network model to estimate the atmospheric aerosol optical thickness and the atmospheric column water vapor content initial value; and step 3, estimating the atmospheric aerosol optical thickness and the atmospheric column water vapor content based on the reflectivity spectrum smoothness, and performing atmospheric correction. According to the method provided by the invention, a novel method for estimating the optical thickness of the pixel-level atmospheric aerosol and the moisture content of the atmospheric column by using the hyperspectral remote sensing image is developed, and a novel method and system for obtaining the surface spectral reflectivity of the pixel by performing atmospheric correction are developed; therefore, a key method is provided for atmospheric correction of spaceborne hyperspectral remote sensing data in the wavelength range of 0.4-2.5 microns.

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 a spectrum imager quantification method, in particular to a hyperspectral remote sensor cross calibration method based on a spectrum matching factor, and aims to solve the technical problem of poor cross calibration precision caused by the fact that an existing hyperspectral remote sensor only depends on a single spectrum channel in the cross calibration process. The method comprises the following steps: 1) obtaining spectrum channel characteristics; 2) calculating the simulated spectral radiance; 3) calculating a spectrum matching factor; 4) obtaining a cross calibration test area; 5) calculating the real spectral radiance of each spectral channel of the reference remote sensor B; 6) obtaining a weight coefficient; the hyperspectral remote sensor cross calibration method based on the spectrum matching factors comprises the steps of (1) obtaining the spectrum matching factors, (2) obtaining the final spectrum matching factors, (3) calculating the real spectrum radiance of each spectrum channel of the to-be-calibrated remote sensor A, and (4) calculating the radiance calibration coefficients of each spectrum channel of the to-be-calibrated remote sensor A. The hyperspectral remote sensor cross calibration method based on the spectrum matching factors reduces errors and improves data accuracy and reliability.

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 provides a space target spectral imaging simulation method based on a space-based observation scene. The method comprises the following steps: (1) inputting attitude and orbit parameters and simulation time parameters of a space target and a spectral imager; (2) establishing a space-based observation scene by using the parameters in the step (1), and obtaining position, attitude and speed information; (3) carrying out target visibility analysis, and firstly judging an earth shadow area; (4) judging sight shielding; (5) performing imager view field constraint judgment; (6) carrying out radiation transfer modeling, analyzing surface element visibility and calculating a spectral radiance image at the entrance pupil of the spectral imager; and (7) carrying out spectral imager modeling, and generating a simulation image by using the spectral radiance image at the entrance pupil obtained in the step (6). According to the method, dynamic simulation is carried out in combination with a track and relative motion, factors influencing target visibility are considered in detail, and the full-link simulation method under the space-based observation scene is constructed by considering the reflection characteristic in the direction of a material and visibility of different surface elements.

The invention provides an infrared radiation calibration precision test method based on a Boltzmann constant, and the method comprises the steps: enabling a reference black body to be switched into an infrared camera light path in a satellite in-orbit calibration mode, carrying out the full-aperture calibration, and obtaining the temperature of the black body, the state of a platinum resistor, and other parameters; acquiring calibration data such as gain and bias released by a calibration responsibility unit; calculating black body radiation brightness according to the Planck radiation law; radiance is calculated according to data such as calibration parameters and pixel DN values; constructing a precision test variable S1; according to data such as blackbody temperature, wavelength and radiation brightness, calculating a Boltzmann constant value under a specific inversion condition; constructing a precision test variable S2; and data such as variance, deviation and sensitivity are further calculated on the basis of S1 and S2, and the calibration precision is finely inspected and judged.

The invention provides a multispectral temperature measurement reflected light characterization calibration device and method based on an infrared sensor in a transient radiation heating environment. The device comprises a water cooling radiator, a multispectral thermodetector, a heater, the infrared sensor and a supporting device. And establishing a spectral radiance matrix database of heater reflected light interference based on the infrared light current signal as an index. In the test process, the reflected light interference of the heater can be obtained in real time through the database according to the light current of the heating element tested by the infrared sensor, and the reflected light interference of the heater can be removed in real time in the algorithm by combining with the spectral emissivity model of the material, so that the real temperature of the surface of the thermal structure can be obtained. According to the invention, the problem of interference of reflected light of the heater on characterization and real-time correction in a transient radiation heating environment is solved, and the temperature measurement 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 processing method and device for a multi-path radiation reference inter-satellite transmission result, and is applied to the technical field of space radiation measurement. The method comprises the steps that # imgabs 0 # atmospheric top spectral radiance correction and # imgabs 1 # uncertainty of a target spaceborne instrument are obtained and calculated through a multi-path radiation reference inter-satellite transmission method, and one reference satellite corresponds to one atmospheric top spectral radiance correction and one uncertainty; the outliers in the # imgabs 2 # atmospheric top spectrum radiance correction values are removed, and # imgabs 3 # atmospheric top spectrum radiance correction values and corresponding # imgabs 4 # uncertainties are obtained; under the condition that the # imgabs5 uncertainty does not meet a first condition, calculating a target transmission result based on a weighted average method; if the # imgabs6 uncertainty satisfies the first condition, a target delivery result is calculated on the basis of an arithmetic average method.

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.