294 results about "Radiometer" patented technology

The invention provides a subsurface soil humidity inversion method and system based on a P-band radiometer, and the method comprises the steps: collecting observation data, carrying out the preprocessing of the observation data, and constructing initial parameters for a pre-configured dielectric hybrid model; calculating the relative dielectric constant of the soil and the soil emissivity of each incident angle; calling a pre-configured Chodhure module, and calculating to obtain the effective temperature of the soil; calculating by using a radiation transfer zero-order approximation model to obtain a simulated brightness temperature; the brightness temperature difference value between the original brightness temperature data and the simulated brightness temperature is calculated, a cost function is constructed, optimization parameters are obtained, and the weight of each angle in the cost function is dynamically adjusted and updated; and iteratively executing soil humidity inversion calculation to obtain an inverted soil humidity result. According to the method, the sensitivity to vegetation and surface roughness is reduced, and the soil humidity inversion precision is improved; and through dynamic weight adjustment and iterative optimization, the adaptability and flexibility of the model are ensured.

The invention relates to the technical field of photovoltaic power generation, in particular to a photovoltaic effective solar irradiance measurement method, which comprises the following steps of: converting optical power into irradiance and tracing the irradiance to an SI unit system by taking trap detection transmitted by a low-temperature radiation meter as an optical power standard device and combining a precise diaphragm; respectively collecting the output voltage of the total radiometer, the output voltage of the monitoring radiometer, the zenith angle of the total radiometer in the non-shielding state and the solar irradiance output by the absolute radiometer when the total radiometer is in the shielding state and the non-shielding state, and calibrating the total radiometer; angle response, temperature response, sensitivity linear response and spectral response data of the total radiometer and the photovoltaic module under different influence parameters are obtained, a correction coefficient set is obtained through fitting and used for conducting temperature, angle, irradiance linearity and spectral mismatch correction on the irradiance measured by the total radiometer, photovoltaic effective solar irradiance data are obtained, and the photovoltaic effective solar irradiance data are obtained. Accurate measurement of the solar irradiance for photovoltaic power generation is realized.

The invention provides a novel method for improving the spatial resolution of the vegetation optical thickness (VOD) by using a random forest method. According to the method, dynamic and static variables related to VOD, such as optical vegetation indexes, terrain parameters, soil humidity and rainfall, are comprehensively considered, and the memory effect (lag VOD) of vegetation optical thickness is introduced. By means of the method, researchers can downscale 0.1 degree VOD data based on the multi-frequency radiometer to the VOD data with the resolution of 0.01 degree. The research shows that the accuracy of the model is remarkably improved by adding the lag VOD variable. Besides, a normalized vegetation index (NDVI), an enhanced vegetation index (EVI) and a leaf area index (LAI) are used for evaluating the downscaled 0.01-degree VOD, a result shows that the downscaled 0.01-degree VOD is highly consistent with the spatial-temporal pattern of the optical vegetation indexes, and spatial-temporal dynamic characteristics of vegetation can be better captured.

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.

In a general aspect, a radiometer is disclosed that includes a vapor cell sensor. The vapor cell sensor contains a vapor and is configured to generate an optical signal in response to laser signals and thermal radiation interacting with the vapor. The vapor includes a Rydberg electronic transition that is configured to interact with the thermal radiation. The radiometer also includes a computing system having one or more processors and a memory. The memory stores instructions that, when executed by the one or more processors, are configured to perform operations that include generating, based on the optical signal, transmission data that represents the transmission of the one laser signal through the vapor. The operations also include determining, based on the transmission data, a temperature of a target body that generates the thermal radiation.

The invention discloses a cloud top height quality inspection method and device, computing equipment and a storage medium, and belongs to the technical field of atmospheric detection and remote sensing, and the method comprises the steps: taking laser radar cloud profile data as a detection truth value, taking imaging type radiometer cloud product data as to-be-inspected data, and carrying out the quality inspection of the to-be-inspected data on the basis of the time-space matching of the two types of data; the method comprises the following steps: screening out unqualified data through a space-time uniformity test, and carrying out layer-by-layer and step-by-step analysis on qualified matching data to count a total sample size, correct detection, missing detection, false detection, a correct screening sample size and a proportion, a correct identification sample size of each cloud type including cirrus cloud and lower cloud, an error identification sample size and a corresponding cloud top height difference; therefore, complete and accurate cloud top height quality detection is realized.

The invention provides a synthetic aperture radiometer error correction method and system, terminal equipment and a medium, and the method comprises the steps: obtaining an original brightness temperature image of a target near-field imaging scene, and obtaining a corresponding initial near-field visibility function; inputting the initial near-field visibility function into a pre-constructed near-field error compensation network model, extracting frequency domain feature information, and compensating a near-field error to obtain a new near-field visibility function; calculating an error between the new near field visibility function and the target far field visibility function, and if the error is less than or equal to a preset error threshold, performing Fourier transform inversion on the new near field visibility function to obtain a corrected reconstructed brightness temperature image; otherwise, constructing a loss function according to the error, carrying out the back propagation of the near-field error compensation network model, obtaining a trained near-field error compensation network model, and obtaining a corrected reconstructed brightness temperature image based on the trained near-field error compensation network model. The near-field error can be corrected, and the quality of the reconstructed brightness temperature image is improved.

The invention relates to the technical field of water optical buoys, in particular to a water optical buoy for monitoring and early warning of environment-friendly disasters in extensive water areas, which comprises a buoy body, a tower and an underwater long rod frame, one side of the buoy body is connected with an optical floating ball through a floater rope, and the underwater long rod frame is rotatably mounted at the bottom of the buoy body. Three groups of optical mounting frames with different lengths are mounted on the outer side of the underwater long rod frame at equal intervals, three groups of underwater hyperspectral radiometers are fixedly mounted at one ends of the three groups of optical mounting frames with different lengths respectively, and damping blades are fixedly mounted at the bottom end of the underwater long rod frame; the ocean optical buoy and the floating ball anchor system are matched for use, single-point or more-three-point anchoring is arranged, and different anchor system schemes are selected according to water depth differences, so that the posture of the buoy in water is more stable, the influence of waves and sea wind on measured data is reduced, the posture inclination angle change of the buoy is reduced to the maximum extent, and the measurement accuracy is improved. And high-precision water quality optical measurement is ensured.

The invention provides a synthetic aperture radiometer array optimization method and related equipment, and the method comprises the steps: obtaining the adjustment of an initial synthetic aperture radiometer array based on a strategy network, and obtaining a plurality of intermediate synthetic aperture radiometer arrays through adjustment; designing a reward function based on the difference between the initial synthetic aperture radiometer array and the intermediate synthetic aperture radiometer array, and calculating a reward value of the action; constructing an array optimization model; training the array optimization model according to the actions, the reward value corresponding to each action and the inter-synthetic aperture radiometer array; and inputting a to-be-optimized synthetic aperture radiometer array into the trained array optimization model, determining an action corresponding to a maximum Q value in an output result of the array optimization model as an optimization strategy of the to-be-optimized synthetic aperture radiometer array, and optimizing the to-be-optimized synthetic aperture radiometer array according to the optimization strategy. According to the invention, the effect of the synthetic aperture radiometer array can be improved.

The invention provides an analog correlation circuit of a synthetic aperture radiometer receiver, and relates to the technical field of weak signal detection and processing. The circuit comprises a high-stability power supply reference unit, a high-performance broadband multiplication unit, a low-noise amplification unit and a high-linearity differential active filtering unit, wherein a second-order differential active filter in the high-linearity differential active filtering unit is used for carrying out noise filtering and low-noise amplification on a low-noise amplifier output signal in a differential form, and a differential signal of which the bandwidth is matched with the variation range of the amplitude of a target radiation brightness temperature signal and the amplitude meets the subsequent analog-to-digital conversion requirement is output. The high-linearity differential active filtering unit designed by the invention is realized by a second-order differential active filter formed by connecting two differential active filters in series, a low-pass filter with the cut-off frequency as low as possible filters noise in a link to the maximum extent, only the bandwidth matched with signal change is reserved, the amplitude which is two times of that of a single-ended signal can be provided, and the filtering efficiency is improved. And the linearity and the signal-to-noise ratio performance are better.

The invention relates to the technical field of temperature measurement, in particular to a radiometer thermal calibration source temperature measurement error calibration device and method. The device comprises a plurality of platinum resistor temperature measurement sensors, a constant current source module, a temperature measurement channel switching module, an environment temperature acquisition module, an aging error calibration module, an amplification filtering module, an AD conversion module and a microprocessor system module, the constant current source module is electrically connected with the temperature measurement channel switching module; the aging error calibration module, the environment temperature acquisition module and the amplification filtering module are electrically connected with the temperature measurement channel switching module; the AD conversion module is electrically connected with the amplification filtering module; and the microprocessor system module is electrically connected with the AD conversion module. According to the invention, the quantitative relation between the output temperature of the sensor and the acquired value is established, the measurement error caused by parameter difference of components, temperature drift and long-term working aging is greatly reduced, and the measurement accuracy is improved.

The present invention discloses a terahertz dynamic inductive thermal radiometer, comprising a superconducting thin film layer, a terahertz antenna, a cutoff layer, and a Si substrate. The superconducting thin film layer and the terahertz antenna are respectively deposited on the cutoff layer, which is deposited on the Si substrate. The superconducting thin film layer includes a superconducting feeder, an interdigital capacitor, and an inductor coil. The interdigital capacitor and the inductor coil are connected in parallel to form an oscillating circuit. The terahertz antenna is adjacent to the inductor coil and is used to convert received terahertz signals into heat, causing the inductor coil to produce an inductance change. This inductance change causes the resonant frequency within the interdigital capacitor to change. The superconducting feeder receives the changed resonant frequency, and the changed resonant frequency can be used to obtain the light intensity of the terahertz signal, thereby completing terahertz signal detection. The terahertz dynamic inductive thermal radiometer can accurately detect terahertz signals and is less affected by temperature. The present invention also provides a method for preparing the terahertz dynamic inductive thermal radiometer and a terahertz detection system.

The invention provides a method for remote sensing detection of a Jinstar intermediate layer atmosphere horizontal wind field profile by using a microwave limb radiometer, and the method comprises the steps: designing a detection channel of the Jinstar intermediate layer atmosphere horizontal wind field profile based on the characteristics of a Jinstar gas spectral line, obtaining radiation brightness temperature observation values of the detection channel at different tangent heights in two orthogonal directions through a microwave limb radiometer carried by a star orbiter; the characteristics of the golden star gas spectral lines are as follows: in a microwave frequency band, the golden star atmospheric trace gas spectral lines are rich and have obvious absorption peaks, and the high-speed atmospheric motion of the middle layer enables the gas absorption spectral lines to generate obvious Doppler frequency shift; and through physical iteration inversion, inversion is carried out based on the radiation brightness temperature observation value to obtain a golden star intermediate layer atmosphere horizontal wind field profile. The method has the advantages that back scattering and other intermediate processes are not needed, the method is basically not affected by ground surface high-temperature radiation, and continuous, stable, high-temporal-spatial-resolution and high-precision star intermediate layer atmosphere horizontal wind field profile information can be obtained all day long.

The invention relates to the technical field of terahertz signal receiving, in particular to a photo-generated local oscillator multi-band tuning millimeter wave mixing receiver device. The device comprises an antenna, a photo-generated local oscillator circuit, a broadband coherent frequency mixing circuit, a baseband signal processing platform, a PC control end and a time division multi-frequency tuning module. By introducing a photo-generated local oscillator technology, a millimeter wave local oscillator signal with high frequency, stability and low phase noise is obtained, and the adaptability of the system to multi-band and cross-band signals is improved. By adopting the broadband coherent odd harmonic mixer with the fin line structure, high-efficiency mixing of a radio frequency signal and a local oscillator signal is realized, and the broadband coherent odd harmonic mixer has the advantages of broadband, high-efficiency odd mixing, low loss, compact integration and the like. On the basis, a time division multi-frequency tuning technology is adopted, and dynamic tuning and switching of multi-frequency-band signals are achieved in a single receiving framework. According to the invention, the problems of frequency band switching bottleneck and multiplexing loss in a traditional multi-frequency receiving system are solved. The antenna has the advantages of being compact in structure, capable of covering multiple frequency bands, suitable for multi-frequency-band observation requirements in a high-sensitivity radiometer system and the like.

A method for estimating typhoon structural parameters by fusing spaceborne GNSS reflectometer data and radiometer data, which relates to the technical fields of data fusion and typhoon monitoring. The method comprises: acquiring GNSS-R reflectometer data and radiometer data; filtering typhoon data from the GNSS-R reflectometer data and the radiometer data to obtain filtered GNSS-R reflectometer data and radiometer data; performing data spatio-temporal matching on the filtered GNSS-R reflectometer data and radiometer data to obtain a spatio-temporally matched region; performing data fusion processing on the spatio-temporally matched region to obtain fused data; and performing typhoon structural parameter estimation on the obtained fused data to obtain structural parameters of a typhoon at each development stage. Fused data of spaceborne GNSS-R reflectometer data and radiometer data is used for typhoon structural parameter estimation, such that the temporal resolution and accuracy of parameter estimation can be improved, and the algorithm complexity is low.

The invention relates to a brightness temperature imaging method and system for air hidden detection, and the method comprises the following steps: 1, carrying out the modeling of an air shielding detection model, and obtaining a model that a radiometer is buried in sandy soil and a detection object is above the sandy soil; 2, the model is subdivided into a plurality of small areas or grids; 3, setting different dielectric constants on the measured surfaces of the target object, the sandy soil and the atmosphere, performing ray tracing, and simulating a propagation path of millimeter waves from the sky to the ground; 4, taking the Green's second theorem as a starting point, and utilizing a Kirchhoff residence phase approximation method and a Kirchhoff scalar approximation method to solve the transmission scattering problem of the Gaussian rough surface; 5, inverting the brightness temperature to the emission source point according to the brightness temperature and the transmission coefficient of the ray terminal to obtain the total brightness temperature of each position; generating an unprocessed brightness temperature map in the detected scene through accumulation calculation of multiple reflections and transmissions of rays in each medium; and 6, performing data processing on the brightness temperature map by using Gaussian filtering, and outputting a brightness temperature imaging result.

A method for evaluating terrain uncertainty in flood warning and forecasting is provided. The method includes: S1, acquiring three types of digital elevation model (DEM) data from a shuttle radar topography mission (SRTM), an advanced spaceborne thermal emission and reflection radiometer (ASTER), and an advanced land observing satellite (ALOS); and preprocessing the three types of DEM data; S2, optimizing urban terrain characteristics; S3, constructing a multidimensional parameter space by using Latin hypercube sampling (LHS); S4, calculating flood hydrodynamics numerical value based on multidimensional sample points; and S5, constructing a global sensitivity analysis method frame suitable for urban terrain characteristics-related factors, where a Sobol quantitative method is used in the global sensitivity analysis method frame, and the Sobol quantitative method is used to evaluate uncertainties and sensitivity characteristics of multiple factors of terrain data based on a variance decomposition theory.

The invention discloses an earth surface short-wave radiation product production method and device and a long-short-term memory network training method and device, and relates to the technical field of aerospace, and a specific implementation scheme is as follows: extracting a first short-wave radiation data set and a second short-wave radiation data set which are aligned in time from first earth surface short-wave radiation data collected by a satellite; acquiring a photovoltaic short-wave radiation data set which is acquired by a ground photovoltaic radiometer and is aligned with the first short-wave radiation data set in time; determining an albedo data set based on the satellite albedo product and the surface land cover product; obtaining an input short-wave radiation data sequence based on the first short-wave radiation data set, the second short-wave radiation data set, the albedo data set, the photovoltaic short-wave radiation data set and the ground photovoltaic radiometer coordinate vector point; inputting the input short-wave radiation data sequence into a pre-trained long short-term memory network to obtain an initial earth surface short-wave radiation product; and obtaining a target earth surface short-wave radiation product based on the initial earth surface short-wave radiation product.

The invention provides an offshore area atmosphere and ocean parameter collaborative inversion method and system, and relates to the technical field of satellite remote sensing, and the method comprises the steps: obtaining to-be-inverted parameters which comprise an atmosphere parameter and an ocean parameter, calling a multi-parameter physical information neural network model to carry out the ocean water-leaving radiation calculation of the ocean parameter, and calculating the ocean water-leaving radiation of the ocean parameter; an atmospheric aerosol model is called to carry out parameterization calculation on atmospheric parameters, and scattering parameters and absorption coefficients of atmospheric aerosol are obtained; inputting the ocean water-leaving radiation quantity and the scattering parameter and the absorption coefficient of the atmospheric aerosol into a forward radiation transfer model, and carrying out radiation transfer calculation to obtain entrance pupil radiation brightness of the top of the atmospheric layer; and finally, performing parameter inversion by combining a satellite measurement radiation signal to obtain an inversion parameter corresponding to the to-be-inverted parameter. According to the invention, problems existing in an atmospheric correction algorithm for ocean water color remote sensing in the prior art are solved.

A method of detecting subsurface conditions conducive to fluid transfer can include obtaining microseismic resonance signals from multiple surface locations over a subsurface region of interest using a resonance sensor, wherein for at least a plurality of the multiple surface locations, multiple microseismic resonance signals are obtained at different times to generate signal stacks. In some examples, the method can also include amplifying the microseismic resonance signals, filtering out the high frequencies at least above about 7,500 Hz leaving low frequencies at least as low as about 4 Hz for evaluation, and using these low frequencies to identify subsurface fracture zones where subsurface fluid may be present. In some examples, subsurface fluids can be detected and / or mapped using gamma radiation count and / or magnetometric density data collected using appropriate equipment.

The invention discloses a photovoltaic power generation forecasting method based on spectrum forecasting, and aims at solving the problem that errors are large due to the fact that only temperature and total irradiance are considered in an existing photovoltaic power generation forecasting method. The method comprises the following steps: downloading global forecast data and carrying out lattice point coding conversion; then carrying out dynamic downscaling and calculating future key meteorological variables; calculating the spectral optical thickness of each atmospheric component by using the spectral absorption and scattering coefficients of different gas components in the HITRAN database, and obtaining direct and scattered spectral irradiance according to the spectral optical thickness; carrying out calculation result verification and artificial intelligence correction by utilizing a solar spectrum radiometer; calculating generated power of different wavelengths; and calculating the final generation power through integral calculation in combination with the loss of other parts of the photovoltaic module. And forecasting a radiation spectrum at a future moment according to different forecasted meteorological variables, and converting radiation into power generation power according to the spectrum, thereby realizing refined conversion of optical power.

The invention relates to the technical field of satellite-borne radio frequency signal processing, and discloses a radio frequency interference joint detection method and system for a satellite-borne radiometer, and the method comprises the steps: receiving horizontal polarization and vertical polarization analog signals through the satellite-borne radiometer, respectively inputting the analog signals into independent ADC channels, converting the analog signals into digital signals, and carrying out the preprocessing of the two digital signals; performing digital channelization processing on the pre-processed signal by adopting a multi-term filter bank which is divided at equal intervals, and dividing the pre-processed signal into a plurality of sub-band signals; for each sub-band signal, first-order to fourth-order central moments of the horizontal polarization signal and the vertical polarization signal are respectively calculated within preset integral time, and then a kurtosis value is calculated through second-order and fourth-order central moments; the detection threshold is set to meet the detection index, the radio frequency interference is detected and identified on each sub-band based on the set detection threshold and the kurtosis value obtained through calculation, the kurtosis detection and the polarization detection are sequentially combined to output a radio frequency interference identification signal, and the detection sensitivity and performance are improved.

The invention discloses a target infrared radiation characteristic calculation method based on a neural network, and belongs to the field of aero-engines. Constructing a first BP neural network model; constructing a second BP neural network model; a detection point is set, rays are emitted to a target, and the positions of the rays are judged in real time through the second model: if the output label is 0, the rays continue to be transmitted, and radiation calculation is not triggered; if the output label is 1, calling the first BP neural network model to calculate a spectral absorption coefficient of a current wave band; judging the ray absorption state based on the spectral absorption coefficient; if the ray is not absorbed, repeating the step of judging the position of the ray, otherwise, terminating the current ray calculation; and counting radiation data of absorption positions of all the rays until all the rays are absorbed in all the wave bands, and outputting target infrared radiation characteristics. According to the method, triple contradictions of spectral precision-computational efficiency-path optimization are broken through through a dual-neural network collaborative architecture.

The embodiment of the invention provides a satellite load low-light channel cross calibration method adopting complete earth shadow area moonlight irradiation, which comprises the following steps: selecting stable target observation data of a to-be-calibrated satellite low-light instrument and a reference instrument in complete earth shadow area moonlight irradiation, the to-be-calibrated satellite low-light instrument and the reference instrument being imaging radiometers; carrying out low-quality data removal on observation data irradiated by moonlight in a complete earth shadow area of the satellite low-light instrument to be calibrated and the reference instrument; selecting a matching data pair of a satellite low-light instrument to be calibrated and a reference instrument under a cross time matching condition, which allows observation under a multi-moon phase condition, from the observation data from which the low-quality data is removed; calculating lunar radiation based on a lunar phase model, performing spectrum and angle correction on the data of the reference instrument in the matched data pair, and calculating the reference radiance of the to-be-calibrated instrument with the stable target in the complete earth shadow area; and fitting observation data of the satellite low-light instrument to be calibrated in the complete earth shadow area under the multi-moon phase condition in the matched data pair and the calculated reference radiance to obtain a cross calibration coefficient so as to complete the radiation calibration of the satellite low-light instrument. According to the embodiment of the invention, the influence of the solar stray light on calibration can be effectively reduced, and the in-orbit radiation calibration precision of the low-light remote sensor is remarkably improved.

The invention discloses a radiation intensity measurement method of an infrared radiation simulation source system, and belongs to the technical field of infrared radiation characteristic measurement. The method comprises the following steps: firstly, performing radiometric calibration operation on an infrared radiation simulation source system and an infrared detector; a medium-wave infrared optical system and an infrared detector are used for receiving infrared radiation signals, and continuous radiation is converted into alternating signals through modulation of an optical chopper, so that the measurement signal-to-noise ratio is increased. Collected alternating signals are processed by the filtering gain amplification circuit so as to enhance signal stability. And then dynamic denoising and state estimation are carried out on measured data by adopting a Kalman filtering algorithm, and nonlinear error compensation is carried out in combination with a medium-wave infrared radiation coefficient correction algorithm, so that a high-precision radiation intensity correction coefficient is obtained. Compared with a traditional method, the self-adaptive filtering and radiation intensity correction technology is combined, the measurement precision and the real-time performance are improved, and the method can be widely applied to the fields of infrared optical testing, target characteristic analysis and radiation measurement.

The invention discloses an anti-interference L-band microwave remote sensing radiometer, and the radiometer comprises a radio frequency receiving assembly which comprises a miniaturized array antenna, a single-pole three-throw switch, a band-pass filter, a low-noise amplifier, a frequency mixer, a local oscillation source, an intermediate-frequency filter, an intermediate-frequency amplifier, and a detector; a signal control and acquisition assembly; a calibration component; a data processing and transmitting component; the miniaturized array antenna is used for receiving a radio frequency noise signal in a target direction; the single-pole three-throw switch is used for respectively switching and receiving the radio frequency noise signal in the target direction, a radio frequency noise signal after heat source matching and a radio frequency noise signal after cold source matching; a radio frequency noise signal is processed through a band-pass filter, a low-noise amplifier, a frequency mixer, an intermediate-frequency filter, an intermediate-frequency amplifier and a detector in sequence, and a detection signal is combined with a calibration algorithm to complete noise temperature measurement in a target direction; the data processing and transmission assembly transmits the data to the platform. The radiometer provided by the invention has strong anti-interference capability and can be used for various scenes for retrieving environmental parameters.

The invention provides a push-broom radiometer antenna pattern optimization method based on reinforcement learning. The push-broom radiometer antenna pattern optimization method comprises the steps of S1, initializing an intelligent agent and an environment; s2, initializing network input and network output; s3, selecting an antenna pattern evaluation index, wherein the antenna pattern evaluation index comprises main beam efficiency, main beam width, side lobe height and a difference between the main beam efficiency, the main beam width and the side lobe height and an ideal antenna pattern; s4, constructing a deep neural network: designing the deep neural network into a structure combining a convolutional neural network and a deep neural network; s5, training a deep neural network; and step S6, obtaining an antenna pattern after network optimization. According to the optimization method, the sidelobe level can be lowered, and the main beam efficiency is improved, so that the system detection precision is improved.

The invention discloses an optical scanning radiometer in-orbit dark background long time series data extraction method and system, and the method comprises the steps: obtaining cold air observation data and solar zenith angle data from an optical scanning radiometer, and generating a channel-level cold air observation data set and a channel-level solar zenith angle data set. According to the channel-level cold air observation data set and the channel-level solar zenith angle data set, various screening methods are adopted to generate to-be-selected schemes and screening data sets of the to-be-selected schemes. For each to-be-selected scheme, calculating a statistical mean value and data volatility based on a screening data set of the to-be-selected scheme, calculating a dark background representative value of the to-be-selected scheme, and determining a mean value sorting sequence number and a volatility sorting sequence number; and determining an optimal dark background value scheme by adopting a weighted assignment method according to the mean sorting sequence number and the volatility sorting sequence number. Therefore, according to the in-orbit dark background long-time-sequence data extraction method of the optical scanning radiometer, long-time-sequence stable extraction is achieved, and the remote sensing data radiometric calibration precision is remarkably improved.

The present invention relates to a detection device for the diffraction effect correction coefficient of a solar irradiance absolute radiometer, comprising a solar simulation light source, an aperture diaphragm, a lens, a light shielding disc and a light intensity detector; the solar simulation light source illuminates the aperture diaphragm to form geometric light and diffracted light; the focal length of the lens is f, the aperture diaphragm is located at a position of 2f on the object side of the lens, and the light intensity detector is located at a position greater than 2f on the image side of the lens; the light shielding disc can be selectively located at a position of f away from the lens on the image side of the lens. The present invention also provides a detection method for the diffraction effect correction coefficient of a solar irradiance absolute radiometer, which obtains the diffraction effect correction coefficient by using experimental detection means, greatly improving the absolute measurement accuracy of the solar irradiance absolute radiometer.

The present invention discloses a real-time calibration method for the scattering channel of a spectroradiometer based on direct solar irradiance, which includes: obtaining the calibration values of the entire wavelength band of the direct channel of the spectroradiometer through a hybrid calibration method that combines the Langley calibration method in the non-absorbing wavelength band and the theoretical calculation of the solar irradiance at the top of the atmosphere in the strong absorption wavelength band; accurately obtaining the spectral irradiance reaching the optical acquisition system of the radiometer and the atmospheric transmittance through the calibration of the direct channel; using the measured direct solar radiation passing through the atmosphere and the atmospheric transmittance in real time, combining the solar irradiance at the top of the atmosphere and the optical component parameters of the instrument to obtain the real-time calibration values of the entire wavelength band of the scattering channel. Without using other auxiliary materials, the present invention transfers the calibration of the direct channel of the spectroradiometer to the calibration of the scattering channel, and will be applied to devices that simultaneously measure direct solar light and atmospheric scattered light.