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50results about How to "Improve inversion efficiency" patented technology

Seismic inversion method and system based on generalized total variation regularization

ActiveCN108037531AReduce the ladder effectFormation boundary maintenanceSeismic signal processingTime domainWavelet
The invention discloses a seismic inversion method and system based on generalized total variation regularization, so as to solve the problem that step effects are generated inside a formation when the existing seismic inversion technology adopts total variation regularization. The method uses the characteristic that generalized total variation not only uses first-order partial derivative information of a to-be-inverted parameter but also uses second or higher-order information, the formation interface can be clearly expressed and the step effects inside the formation can also be weakened; besides, a phenomenon that a product of a wavelet matrix, a difference matrix and the natural logarithm of the to-be-inverted parameter can be used to be converted to the convolution among a convolutionkernel corresponding to the wavelet matrix, a convolution kernel corresponding to the difference matrix and the natural logarithm of the to-be-inverted parameter is found out, the convolution operation in a time domain is converted to point multiplication operation in a frequency domain, and the inversion speed is greatly improved; a reflection coefficient does not need to be inverted firstly, anddirect inversion is carried out in the frequency domain to obtain the to-be-inverted parameter; and the method and the system are applicable to the technical field of seismic exploration.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Corn canopy LAI and chlorophyll content joint inversion method and corn canopy LAI and chlorophyll content joint inversion equipment

The invention provides a corn canopy LAI and chlorophyll content joint inversion method and corn canopy LAI and chlorophyll content joint inversion equipment. The corn canopy LAI and chlorophyll content joint inversion method comprises: obtaining actual corn canopy spectral reflectivities of multiple spectrums at each growth period; establishing a lookup table based on a PROSAIL model, wherein theinput parameters in the lookup table comprise the leaf area indexes (LAI) and the chlorophyll contents of corn at each growth period, and the output parameters of the lookup table are corresponding simulated corn canopy spectral reflectivities; establishing a cost function based on a weighted square difference sum form, wherein the cost function is used for calculating the error between the simulated corn canopy spectral reflectivity and the real corn canopy spectral reflectivity; and carrying out inversion on the corn canopy LAI and the chlorophyll content based on the corresponding simulated corn canopy spectral reflectivity in the case of the minimum value of the cost function. According to the present invention, the LAI and the chlorophyll are simultaneously inverted with the one setof the parameters by establishing the joint distribution of the corn canopy LAI and chlorophyll content parameters so as to improve the parameter inversion efficiency.
Owner:CHINA AGRI UNIV

Fast inversion method for atmospheric methane on basis of short wave infrared hyperspectral data under condition of cirrus

The invention belongs to the technical field of atmospheric remote sensing and discloses a fast inversion method for atmospheric methane on the basis of short wave infrared hyperspectral data under the condition of cirrus. The method comprises the following steps: obtaining world-wide representative atmospheric temperature, humidity and methane profile, and obtaining reflection spectral characteristic information of a typical ground object; obtaining a simulation spectral data set of a methane absorption band; performing PCA (principal component analysis) on the basis of simulated and calculated short wave infrared methane absorption spectral data set under the condition of global cirrus; training an established neural network by using first eight principal components of an observation spectrum, observation pixel height, surface air pressure, sun angle and satellite observation angle as input of the neural network and using methane input by a forward radiative transfer model as outputof the neural network; establishing an short wave infrared atmospheric methane fast inversion model based on PCA and the neural network under the condition of cirrus. Fast and precise inversion of atmospheric methane on the basis of the short wave infrared hyperspectral data under the condition of cirrus can be realized with the method.
Owner:CHENGDU UNIV OF INFORMATION TECH

Seabed sound speed multi-step inverting method based on dual-vector hydrophone

The invention relates to a seabed sound speed multi-step inverting method based on a dual-vector hydrophone. The method includes the steps of reestablishing a sound field green function between two points in the vertical direction through noise field vertical vibration velocity signals and extracting different multiplicity arrival structures to obtain the seabed layered structure and the relationbetween the sound speed and the thickness of each depositing layer, selecting a corresponding seabed model, and inverting the seabed sound speed through the vertical coherence characteristic of the noise field vertical vibration velocity signals. By means of the multi-step inverting method, it can be ensured that the selected seabed model is correct during inverting, and the guarantee is providedfor the accuracy of the inverting result. In addition, by means of the multi-step inverting method, the sound speed and the thickness of the seabed depositing layer can be represented with an inverting amount, the dimension of the parameter search space during inverting is reduced, and the inverting efficiency is improved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Inverter System Having a Decoupling Switching Element

An inverter system for converting a constant output signal of an energy-generating module, e.g., a solar cell module, into an alternating current signal, includes: an input port for receiving the constant output signal, an inverter circuit connected downstream from the input port and provided for generating the alternating current signal by switching over at least one inverter circuit element, and a decoupling switching element situated between the input port and the inverter circuit. The decoupling switching element is configured to be selectively switched over immediately before the at least one inverter circuit element is switched over in order to decouple the at least one inverter circuit element from the input port at the point in time of the switch-over.
Owner:ROBERT BOSCH GMBH

Rayleigh wave dispersion curve inversion method for seismic surface wave exploration

The invention belongs to the field of near-surface seismic surface wave exploration, and particularly discloses a Rayleigh wave dispersion curve accurate and fast inversion method for seismic surfacewave exploration. The method includes converting a seismic record from an x-t domain to an f-k domain to obtain f-voR through two-dimensional Fourier transformation of the seismic record; according tothe f-voR, randomly generating an initial population; calculating phi (Pj), converting the phi (Pj) into f (Pj), and recording that the initial iteration number of inversion is 1; according to the f(Pj), preforming selection operation and cross operation; based on a cross population, selecting the top 10% individuals of f (Pj), performing local linear optimization, and acquiring a new populationPj (x) through the fastest descent; and based on the new population, repeating the above steps until T = T+1 reaches the preset iteration number, and selecting the individual with the largest fitnessvalue as an inversion result according to the f (Pj). The method can improve the applicability, rapidity and accuracy of Rayleigh wave exploration in detecting near-surface stratum structures.
Owner:BEIJING RES INST OF URANIUM GEOLOGY

Method for evaluating stratum permeability by acoustic logging while drilling

PendingCN110348135AHigh sensitivityPermeability inversion results are accurateSurveyDesign optimisation/simulationPhase velocityWave field
The invention discloses a method for evaluating stratum permeability by acoustic logging while drilling. The method comprises: conducting monopole acoustic logging while drilling in a depth interval;establishing a simplified Biot-Rosenbaum while-drilling model considering an equivalent instrument; selecting a non-permeable layer, and calibrating an equivalent instrument modulus; carrying out wavefield separation to obtain a direct stoneley wave form, and simulating a theoretical direct stoneley wave form without permeability influence; calculating frequency shift and time lag of theory and actual measurement respectively, and solving an objective function to obtain a permeability value of the depth point; repeating the above steps until the whole depth interval is processed, and obtaining a stratum permeability curve in the processing depth interval. According to the method, due to the real-time performance of measurement while drilling, the impedance effect of a mud cake does not need to be considered. Compared with wireline logging, the sensitivity of the stoneley wave phase velocity to the permeability in the while-drilling environment is higher, so that the inversion result is more real and accurate. By adopting the simplified Biot-Rosenbaum while-drilling model, the inversion efficiency is greatly improved, and the method has an important practical application value forfield data processing.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Remote sensing quantitative reversion method and system of crop physical and chemical parameters

The invention discloses a remote sensing quantitative reversion method and system of crop physical and chemical parameters.According to the method, LUTs is segmented into LUTsi of the same number according to the spectral band number, all the LUTsi are ranked to obtain LUTsi_sort, for each LUTsi_sort, a bisection method searching method is utilized for searching for simulating vegetation canopy reflectivity data with similarity to real vegetation canopy reflectivity data meeting the preset requirement, all the simulating vegetation canopy reflectivity data and content of corresponding items of the data in the LUTs are used for constructing a form in a corresponding relation form to obtain LUTs_new, each simulating vegetation canopy reflectivity data and TD of the real vegetation canopy reflectivity data corresponding to the simulating vegetation canopy reflectivity data in the LUTs_new are calculated, and crop physical and chemical parameter data corresponding to the minimum value in the TD serves as the optimal solution of the lookup table algorithm.According to the method and the system, the size and the direction character of the vegetation canopy reflectivity data are considered comprehensively, and the calculation complexity is reduced while the crop physical and chemical parameter inversion numerical precision is improved.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI

Dielectric constant inversion method, roadbed detection method and detection system

The invention relates to a dielectric constant inversion method, a roadbed detection method and a detection system. The invention discloses a GPR neural network ant colony joint dielectric constant inversion method, and the method comprises the steps: S1, generating a plurality of simulation samples with a radar electromagnetic wave underground propagation rule, carrying out the training of a neural network model through the plurality of simulation samples, and obtaining an application neural network; S2, constructing a regression curved surface according to a relationship between simulation sample input and network calculation output of the application neural network in a training process; S3, performing optimization processing on the application neural network by using an ant colony optimization algorithm, and obtaining an inversion neural network according to the obtained optimal solution; and S4, using an ant colony algorithm in combination with the inversion neural network to perform inversion of the dielectric properties of the structural layer, and outputting a dielectric constant. When the dielectric constants of all layers of the target object are obtained, the neural network and the ant colony algorithm are combined, advantage complementation is achieved, and therefore the dielectric constants of the structural layer can be obtained rapidly, efficiently and accurately.
Owner:ZHENGZHOU UNIV +1

Channel selection method and device for hyperspectral satellite data inversion nitrous oxide profile

ActiveCN107908838AThe target gas has a large amount of informationLow amount of interfering gas informationMaterial analysis by optical meansDesign optimisation/simulationSatellite dataTransmittance
The invention provides a channel selection method and device for a hyperspectral satellite data inversion nitrous oxide profile. The method comprises the following steps that: according to the brightness temperature change amplitude of the hyperspectral satellite data when nitrous oxide v1 and v3 absorption bands change along with gas concentration, selecting a spectrum interval with a maximum change amplitude as a sensitive channel set; according to the gas transmittance of the nitrous oxide v1 and v3 absorption bands and sensor observation noise, selecting a channel which is not covered withother gas adsorption characteristics and is low in sensor noise from the sensitive channel set as an optimal channel set; and according to the physical significance of a weighting function, selectingthe channel of which the height where a weighting function peak value is positioned is not overlapped from the optimal channel set as an inversion channel set. By use of the method, according to theinfrared adsorption characteristics of the nitrous oxide and the adsorption sensitive characteristics of different channels of the hyperspectral data for the nitrous oxide of different air pressure layers, the optimal channel is selected, so that the amount of information of target gas on the inversion channel is maximum, the amount of information of interference gas is minimum, and the inversionaccuracy of a nitrous oxide outline is highest.
Owner:SATELLITE ENVIRONMENT CENT MINIST OF ENVIRONMENTAL PROTECTION

Fast two-dimensional density inversion method based on physical property function

The invention discloses a fast two-dimensional density inversion method based on a physical property function. The method comprises the following steps of: S1, collecting gravity data by field actual measurement; S2, determining the physical property function order of an inversion area according to the gravity data or the existing data; S3, transversely subdividing the inversion area in the underground half space according to the distribution of the physical property function; S4, establishing a corresponding kernel function matrix; and S5, performing forward modeling on the parameter inversion result, and checking the inversion fitting degree. The fast two-dimensional density inversion method introduces the physical property function, reduces the memory occupation during operation and improves the operation speed; a construction mode of an underground half-space density model when a physical property function is introduced; the inversion speed is improved; and less memory space is occupied in the calculation process.
Owner:JILIN UNIV

Shale gas identification method based on deepest descent prestack precise equation fluid inversion

The invention discloses a shale gas identification method based on deepest descent prestack precise equation fluid inversion. The method is characterized in that an objective function based on fluid identification parameters is constructed through the Zoeppritz equation and a porous medium rock-physics model, and an iterative equation is obtained through deduction and inversion. The method has theadvantages that prestack inversion is directly carried out through the Zoeppritz equation, so that limitations for small angles caused by a Zoeppritz approximate expression can be avoided, and large-angle seismic materials can be better utilized; through the deepest descent algorithm, the convergence efficiency can be improved, and the calculation load can be reduced; and the deepest descent inversion is carried out through the non-simplified Zoeppritz equation, so that estimated values of the fluid identification parameters can be accurately and rapidly obtained, and a more reliable basis can be further provided for shale gas identification.
Owner:SHANXI SHANDI GEOPHYSICAL SURVEY TECH CO LTD

Atmospheric pollutant treatment method, storage medium and computer terminal

The invention discloses an atmospheric pollutant treatment method, a storage medium and a computer terminal. The method comprises the steps that target spectral data and meteorological data are acquired, and the target spectral data are used for representing radiation data of atmospheric pollutants; the target spectrum data and the meteorological data are processed through a target inversion model, the target emission flux of the atmospheric pollutants is obtained, the target inversion model comprises a first hidden layer and a second hidden layer, the first hidden layer is used for obtaining the target concentration through inversion, and the second hidden layer is used for obtaining the target emission flux through inversion based on the target concentration. According to the invention, the technical problem that the efficiency of obtaining the atmospheric pollutant emission flux through inversion is low in the prior art is solved.
Owner:ALIBABA DAMO (HANGZHOU) TECH CO LTD

Three-dimensional time domain aviation electromagnetic rapid inversion method

The invention discloses a three-dimensional time domain aviation electromagnetic rapid inversion method. The method comprises the steps: firstly constructing an optimal second-generation wavelet suitable for time domain aviation electromagnetic data, and carrying out the multi-scale decomposition of time domain aviation electromagnetic observation data; adaptively selecting an optimal wavelet threshold, and extracting feature data of the current scale; performing model sensitivity multi-scale wavelet analysis, and optimizing a time domain aviation electromagnetic inversion grid in a self-adaptive mode; performing time domain aviation electromagnetic three-dimensional Gaussian-Newton inversion by utilizing the feature data extracted on the current scale and the inversion grid; and extracting time domain aviation electromagnetic characteristic data on different scales step by step to participate in inversion by gradually reducing data space and model space scales, and updating an inversion grid in a variable-scale manner, so that rapid and refined inversion of the time domain aviation electromagnetic data is realized. The time domain aviation electromagnetic three-dimensional inversion efficiency can be effectively improved while the resolution is ensured.
Owner:CHANGAN UNIV

Layered medium waveform inversion method based on simulation annealing algorithm

The invention discloses a layered medium waveform inversion method based on a simulation annealing algorithm and brings forward a layered medium waveform inversion method based on a simulation annealing algorithm, for the purposes of reducing the algorithm complexity, improving the convergent speed and enhancing the thin layer identification capability of the method. The method has the following advantages: 1, by use of prior information of a double-pass time delay of electromagnetic waves in each medium layer, parameters of waveform inversion are reduced, the algorithm solving complexity is reduced, and the inversion efficiency is improved; 2, by use of a non-uniform variation idea, through improving a disturbance model of the simulation annealing algorithm, the convergent speed is substantially improved; and 3, through differences between actual echo signals and simulation echo signals, time-delay information covered by strong echoes is extracted, the capability of the algorithm to thin layer medium parameter inversion is enhanced, and the practicality of the algorithm is improved.
Owner:GUILIN UNIV OF ELECTRONIC TECH

Method for inverting underground goaf position parameters by fusing InSAR and PSO

The invention discloses a method for inverting underground goaf position parameters by fusing InSAR and PSO, which is suitable for the field of mineral geological monitoring and protection. The methodcomprises steps of utilizing an InSAR method to obtain ground surface deformation of the mining area radar sight line, determining a value range of goaf parameters, initializing the position and speed information of each individual in the particle swarm, substituting the position coordinates of the particle swarm into a probability integral model to obtain vertical subsidence and east-west and north-south horizontal movement of the earth surface, and converting deformation into LOS-direction deformation according to radar imaging geometry, substituting the converted LOS directional surface deformation and the LOS directional surface deformation calculated by the InSAR into a fitness function to calculate a fitness value, and obtaining and recording an optimal solution of each particle anda globally optimal solution of a group, and solving a fitness value corresponding to the optimal solution of the population in iteration. The method is easy to operate, the effect of inverting the position parameters of the underground goaf is good, technical support can be provided for illegal mining of underground coal resources and inversion of the position of a coal fire area, and meanwhile the application space of the InSAR technology is expanded.
Owner:CHINA UNIV OF MINING & TECH

Unsaturated soil hydraulic characteristic parameter numerical value inversion method based on evaporation process

An unsaturated soil hydraulic characteristic parameter numerical value inversion method based on an evaporation process comprises the following steps: 1) performing an indoor soil body drying test, monitoring the mass change of a soil body, obtaining an actual evaporation capacity process line of the soil body, and recording related environment variable data; 2) selecting a Fredlund model to fit a hydraulic conductivity and soil-water characteristic curve, wherein model parameters are to-be-inverted parameters; 3) establishing a corresponding finite element analysis model according to the characteristics of a soil sample; 4) calculating the surface evaporation capacity of the soil body according to a migration equation of the gas-liquid two-phase flow under the action of a hydrothermal gradient and a Penman-Wilson formula; 5) determining a target function F (X), wherein the F (X) is the error sum of squares of the actually measured evaporation capacity and the calculated evaporation capacity; 6) according to the target function, using a whale optimization algorithm to invert the parameters of the Fredlund model. According to the method, the inversion precision is improved, meanwhile, the obtaining difficulty of actually measured data needed by inversion is reduced, the inversion efficiency is improved, and the method is composed of numerical simulation evaporation process forward modeling analysis and an optimization algorithm.
Owner:JINLING INST OF TECH

Snow multi-angle bi-directional reflectivity inversion method based on satellite remote sensing data

The invention discloses a snow multi-angle bi-directional reflectivity inversion method based on satellite remote sensing data, and the method comprises the following steps: step 1, collecting remote sensing data, carrying out the preprocessing, and obtaining the snow surface single-angle bi-directional reflectivity of different wavebands; step 2, eliminating the terrain effect of the bi-directional reflectivity calculated according to the step 1 by using a C correction model; step 3, according to a calculation result of the step 2, constructing a snow white space albedo inversion model based on a progressive radiation transfer model; 4, according to a result of the step 3, constructing a snow multi-angle bi-directional reflectivity inversion model; and step 5, inverting the snow white blank albedo by using the snow multi-angle bi-directional reflectivity inversion model, and then inputting a related angle value to invert the snow multi-angle bi-directional reflectivity. The method can perform continuous multi-angle bi-directional reflectivity inversion on the snow in the large-range mountainous area, and has the advantages of no need of multi-day data, high efficiency and small influence of angle effect.
Owner:CHUZHOU UNIV

Method for inversion from electrical property of vertical interconnection structure to process parameter thereof

The invention provides a method for inversion from an electrical property of a vertical interconnection structure to a process parameter thereof. The method comprises: using a transmission resonance frequency of the vertical interconnection structure and a corresponding S11 value as electrical parameter input values, and using an inter-layer dislocation of the vertical interconnection structure as output, to establish a prediction model of inversion from the electrical property to a structure; then using an inter-layer dislocation value of the interconnection structure as input, and using a sintering process parameter as output, to establish a prediction model of inversion from a structural dislocation to the process parameter, wherein the inversion method uses an multi-core support vector machine algorithm integrating prior knowledge, so as to obtain an accurate prediction model with a small sample by training; and successively inputting an electrical property index of the interconnection structure into the foregoing two inversion models, to predict the process parameter that needs be set when processing the vertical interconnection structure. The inversion method provided by the invention can improve the process parameter of the designed vertical interconnection structure, so as to ensure that the final vertical interconnection structure can meet requirements of the electrical property index.
Owner:XIDIAN UNIV

Two-parameter synchronous inversion method for three-dimensional frequency domain ground penetrating radar

The invention discloses a two-parameter synchronous inversion method for a three-dimensional frequency domain ground penetrating radar. The method comprises the steps: inputting observation data, setting a three-dimensional initial model, and initializing parameters; performing forward modeling on the established three-dimensional initial model; constructing an inversion objective function, and decomposing the inversion objective function into two alternate sub-problems; initializing the dielectric constant and the conductivity to obtain an initial pilot model vector; solving a sub-problem 1 according to the pilot model vector, and updating a model medium parameter vector; solving a sub-problem 2 according to the obtained model medium parameter vector, and updating a pilot model vector; and updating synchronously and alternately until an inversion termination condition is met, and outputting an inversion result. According to the invention, the dielectric constant and the conductivity value can be updated synchronously, so that the inversion efficiency is improved; a total variation model constraint method is improved to a full waveform inversion process, and the robustness of an algorithm is increased; and a frequency weight factor is combined, and a parallel mode is adopted to realize 3D GPR quantitative imaging, so that the imaging process is more efficient and accurate.
Owner:CENT SOUTH UNIV +2

Joint Inversion Method of Ocean Controlled Source Electromagnetic and Magnetotelluric Based on Product Function

The invention provides a combined inversion method of ocean controllable source electromagnetic and magnetotelluric based on a product function, comprising: reading and converting ocean controllable source electromagnetic field and ocean magnetotelluric data; setting joint inversion execution parameters; establishing joint inversion Initial model; constructing joint inversion objective function; nonlinear transformation of inversion parameters; obtaining Jacobian and Hessian matrices of inversion data for formation anisotropic resistivity and formation thickness; calculating model parameter update based on inversion parameters search inversion update amount step size; calculate the inversion iteration fit difference; judge whether the inversion requirements are met; output the final inversion model. The method simultaneously inverts the anisotropic resistivity and thickness of the submarine formation, and the inversion efficiency is higher; at the same time, it combines the high resolution of the oceanic controllable source electromagnetic data for shallow formations, and the ability of magnetotelluric data to detect deep structures. The inversion effect is better than the traditional single electromagnetic data inversion; the proposed joint inversion method has wider applicability.
Owner:OCEAN UNIV OF CHINA

Method for acquiring mechanical parameters of rock-soil body

The invention relates to a method for acquiring mechanical parameters of rock-soil body, which comprises the following steps of: 1, selecting a to-be-inverted soil mass parameter, determining a parameter range and generating a specified number of parameter data sets; 2, calculating parameters in the parameter data set through FLAC3D, and obtaining the displacement of a specified measuring point; step 3, performing normalization processing on the displacement of the specified measuring point obtained in the step 2; 4, generating a neural network hyper-parameter initial population, and selecting an optimal hyper-parameter combination by adopting a particle swarm algorithm to obtain an optimal agent model; and 5, inverting the to-be-solved soil mass parameters on the basis of the proxy model by adopting an NSGA-II algorithm, and obtaining final rock-soil mass mechanical parameters. Compared with the prior art, the method has the advantages of high precision, high accuracy and the like.
Owner:TONGJI UNIV

Parallel kraut decomposition method for ultra-large-scale matrix multi-core based on thread building blocks

The invention relates to a multinuclear parallel crout decomposition method for an ultra-large scale matrix based on a TBB (Treading Building Block), which comprises the following steps: 1) rewriting a parallel computing part according to a traditional Crout method into a standard part meeting TBB requirement; 2) setting a question initial value; 3) entering into line circulation of the Crout method; 4) calling a parallel_reduce parallel module, storing the maximum pivot element in each line into a temporary vector, and meanwhile, calculating and storing a scale factor; 5) entering into row circulation of the Crout method; 6) confirming a new pivot element and the scale factor, modifying TINY, dividing each line by the pivot element; and 7) finishing the decomposition of the ultra-large scale matrix, thereby obtaining a row and line arranging sequence changed due to a local pivot element method. Compared with the prior art, the multinuclear parallel crout decomposition method provided by the invention has the advantages that the running efficiency of matrix LU decomposition is greatly increased, the method is performed on different platforms, the method is extendable, the application is wide, and the like.
Owner:TONGJI UNIV

A remote sensing quantitative inversion method and system for physical and chemical parameters

The invention discloses a remote sensing quantitative reversion method and system of crop physical and chemical parameters.According to the method, LUTs is segmented into LUTsi of the same number according to the spectral band number, all the LUTsi are ranked to obtain LUTsi_sort, for each LUTsi_sort, a bisection method searching method is utilized for searching for simulating vegetation canopy reflectivity data with similarity to real vegetation canopy reflectivity data meeting the preset requirement, all the simulating vegetation canopy reflectivity data and content of corresponding items of the data in the LUTs are used for constructing a form in a corresponding relation form to obtain LUTs_new, each simulating vegetation canopy reflectivity data and TD of the real vegetation canopy reflectivity data corresponding to the simulating vegetation canopy reflectivity data in the LUTs_new are calculated, and crop physical and chemical parameter data corresponding to the minimum value in the TD serves as the optimal solution of the lookup table algorithm.According to the method and the system, the size and the direction character of the vegetation canopy reflectivity data are considered comprehensively, and the calculation complexity is reduced while the crop physical and chemical parameter inversion numerical precision is improved.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI

Method and device for two-dimensional inversion of electric field data by magnetotelluric te polarization model

The present application relates to a method and device for two-dimensional inversion of electric field data by magnetotelluric TE polarization modes. The method includes: observing electric field data components at different frequencies of multiple observation points along the X axis in the survey line and calculating the electric field data components at different frequencies of the observation points along the X axis, and constructing an inversion objective function under the magnetotelluric TE polarization mode ; By inverting the objective function, the inversion iterative equations corresponding to the inversion objective function are obtained; by introducing the normalized electric field data component error and replacing the measured magnetic field Hy component with the calculated magnetic field Hy component, the actual fitting is Zhang Quantitative impedance data; According to the mathematical expression of the normalized electric field data component error, calculate the Jacobian matrix, calculate the inversion iterative equation group according to the Jacobian matrix and the normalized electric field data component error, according to the inversion iterative equation group The electric field data were inverted in 2D. Using this method can improve the calculation efficiency and inversion accuracy of two-dimensional inversion.
Owner:GUILIN UNIVERSITY OF TECHNOLOGY

SAR sea surface wind field and sea wave joint inversion method and system based on spectrum model

The invention provides an SAR sea surface wind field and sea wave joint inversion method and system based on a spectrum model, and the method comprises the steps: obtaining a sea surface SAR image, and obtaining SAR cross spectrum and intensity data based on the SAR image; acquiring a sea wave propagation direction based on an imaginary part spectrum of the SAR cross spectrum, and performing radiometric calibration on the intensity data to obtain a backscattering coefficient; taking the sea wave propagation direction as a reference wind direction, combining a backscattering coefficient and a radar incident angle, and utilizing a geophysical model to obtain an inverted wind field parameter; generating an initial guessing wave spectrum E spectrum based on the wave propagation direction and the inverted wind field parameters, and generating an observed SAR image spectrum by using the intensity data; based on the observed SAR image spectrum and the initial guessing wave spectrum E spectrum, obtaining an optimal wave spectrum through inversion by means of an MPI algorithm, and obtaining inverted wave parameters through a spectrum integration method.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Shale gas identification method based on fluid inversion of pre-stack precise equation of fastest step-down

The invention discloses a shale gas identification method based on deepest descent prestack precise equation fluid inversion. The method is characterized in that an objective function based on fluid identification parameters is constructed through the Zoeppritz equation and a porous medium rock-physics model, and an iterative equation is obtained through deduction and inversion. The method has theadvantages that prestack inversion is directly carried out through the Zoeppritz equation, so that limitations for small angles caused by a Zoeppritz approximate expression can be avoided, and large-angle seismic materials can be better utilized; through the deepest descent algorithm, the convergence efficiency can be improved, and the calculation load can be reduced; and the deepest descent inversion is carried out through the non-simplified Zoeppritz equation, so that estimated values of the fluid identification parameters can be accurately and rapidly obtained, and a more reliable basis can be further provided for shale gas identification.
Owner:SHANXI SHANDI GEOPHYSICAL SURVEY TECH CO LTD

A multi-scale near-surface tomographic velocity modeling method and modeling system

The invention discloses a multi-scale near-surface tomographic velocity modeling method and a modeling system, comprising: step 1: inputting first-arrival travel time and initial velocity model; step 2: calculating theoretical travel time and ray path based on the initial velocity model; Step 3: Obtain the speed modifier, and according to the speed modifier, modify the initial speed model to obtain the current speed model; Step 4: Compare the speed modifier with the preset speed modifier threshold; Step 5: If the speed modifier is greater than or equal to the preset speed To modify the threshold value, compare the maximum offset with the offset threshold; Step 6: If the maximum offset is greater than or equal to the offset threshold, use the current velocity model as the final velocity model. The multi-scale near-surface tomographic velocity modeling method of the present invention improves the inversion accuracy by inputting the first-arrival travel time and the initial velocity model, and modifying the initial velocity model according to the velocity modification value, and can establish a high-precision near-surface velocity model.
Owner:CHINA PETROLEUM & CHEM CORP +1
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