70results about How to "Fast inversion" patented technology

The invention discloses a vegetation index construction method applied to a city. The method comprises the following steps of: (1) performing radiation correction at different degrees according to acquired city optical remote sensing image data, and thus acquiring city remote sensing image data which is subjected to the radiation correction; (2) performing geometrical fine correction, embedding and cutting preprocessing on the city optical remote sensing image data which is subjected to the radiation correction, and thus acquiring a preprocessed city remote sensing image; and (3) calculating the vegetation index IVI of the preprocessed city remote sensing image. By the method, the influence of city building land and water bodies can be well restrained, vegetation information can be enhanced, and the method is suitable for remote sensing image data acquired by a sensor without ground scaling parameters. A city vegetation index constructed by the method can accurately, quickly and precisely reflect the vegetation information of the city.

The invention provides a remote sensing monitoring method for water quality parameters of a shallow aquatic plant lake. The method comprises the following steps: acquiring time series satellite remotesensing image data of a lake area, and extracting a water body by use of a normalized differential water body index MNDWI; calculating a normalized differential vegetation index NDVI and a normalizeddifferential aquatic plant index NDAPI of the water body to quickly extract an aquatic plant covering zone and aquatic plant growth conditions; building a vegetation index time spectrum cube image ofthe aquatic plant covering zone to realize fine partition of aquatic plant species; using the water quality indication effect of the aquatic plant species and the aquatic plant growth conditions forpartitional and seasonal inversion of the water quality parameters of the aquatic plant covering zone; and forming a spatial distribution map of the water quality parameters. According to the method proposed by the invention, the aquatic plant species on a remote-sensing satellite image can be accurately identified according to unique phenological characteristics of ground features and remote sensing vegetation index time spectrum analysis technology, the water quality parameters of the shallow aquatic plant lake can be simply and quickly inverted.

The invention belongs to the field of environmental pollution monitoring, and particularly relates to a multi-spectral back scattering type soot grain size and concentration simultaneous measuring device and a measuring method thereof. Visible light emitted from a wide-spectrum light source is emitted into a flue via an illuminating optical fiber in a reflecting type optical fiber probe, and is scattered by soot in the flue so as to form scattered light, the scattered light enters a readout optical fiber via dustproof glass with a fixed-period purging device, and is split by a light splitter, multi-spectral light intensity information of the back scattered light is acquired by a linear array CCD (charge coupled device), and a signal acquisition and data processing portion realizes modeling, inverting and monitoring. A detector of the measuring device can be integrated with the light source, angle debugging is omitted, and the measuring device has higher sensitivity according to a scattering theory. The measuring method has the advantages of simple solution procedures, fast inverting speed, stable inverting results and the like.

The invention discloses a method for quickly inversing an ozone profile of CrIS hyper-spectral data. The method is mainly used for solving the quick ozone profile inversion problem of the CrIS hyper-spectral data and comprises the following steps of utilizing a satellite to measure the CrIS data; using a CRTM radiation transfer model to simulate a radiation value; using a principal component analysis method to perform empirical orthogonal expansion on a simulated radiation value covariance matrix; using a least square method to perform best fit on a profile sample matrix and the simulated radiation value covariance matrix and calculate a regression coefficient; obtaining the CrIS data and the regression coefficient to achieve quick inversion of the ozone profile. By using the method, the ozone profile can be stably and quickly inversed by utilizing the CrIS hyper-spectral data, an important technical means is provided for ozone distribution monitoring, and further necessary premise is provided for higher understanding, air quality quantification and forecasting of local and regional air quality.

The invention discloses an image inversion method of a non-uniform sampling comprehensive bore diameter radiometer. The image inversion method comprises the steps that the positions of non-uniform sampling points are calculated according to position coordinates of antenna units, and the values of the visibility functions of the non-uniform sampling points are obtained; according to the positions of the non-uniform sampling points, a spatial frequency domain is divided into a plurality of regions, and the area of each region is calculated; according to the area of each region, discrete convolution operation is conducted on the values of the visibility functions of the non-uniform sampling points, and the values of the visibility functions of uniform sampling points are obtained; inverse Fourier transformation is conducted on the values of the visibility functions of the uniform sampling points, and a middle brightness temperature distribution image of an observation space is obtained; according to the middle brightness temperature distribution image and the result of inverse Fourier transformation of a window function, a correction scene brightness temperature image is obtained; according to the correction scene brightness temperature image and the reciprocal of an inclination factor of the observation scene brightness temperature, an observation scene brightness temperature image is obtained. The image inversion method can rapidly, efficiently and accurately achieve inversion of a scene brightness temperature distribution image of the non-uniform sampling comprehensive bore diameter radiometer.

The invention relates to the technical field of rock mineral mechanical parameter measurement and characterization, and aims to provide a method for inverting rock mineral parameters based on nano-indentation and numerical simulation. The method comprises the following steps: selecting different minerals on the surface of the rock to perform a nano-indentation test to obtain load-displacement curves, elastic modulus and hardness of different minerals; establishing a numerical model and a numerical test scheme based on a numerical simulation method, obtaining numerical simulation data for establishing an artificial neural network model, and obtaining a quantitative mapping relation after training and verification; and obtaining an optimal solution through an optimized search algorithm, namely the mechanical parameters of the rock minerals. By means of numerical simulation, the microscopic mechanical parameters of the minerals are associated with the nano-indentation test data, and the technical problem of parameter characterization of the rock minerals is solved; the accuracy and robustness of the artificial neural network model can be improved, and parameter characterization can berealized quickly and accurately; and the method for inverting rock mineral parameters based on nano-indentation and numerical simulation has the advantages of low cost, simple operation and high application and popularization values.

The invention discloses a retrieval method and device for a water vapor profile.The method comprises the steps of obtaining mode data from an NCEP and hyperspectral satellite data from a CrIS; according to the mode data and the hyperspectral satellite data, searching for an experience orthogonality regression coefficient matched with the hyperspectral satellite data in a database, wherein the database comprises one or more experience orthogonality regression coefficients; according to the hyperspectral satellite data and the experience regression coefficient, conducting retrieval, so that the water vapor profile is obtained, wherein the simulation radiation value of a training sample and an experience orthogonality expansion matrix of the water vapor sample profile are fitted through a least square method, calculation is conducted, and the experience orthogonality regression coefficient is obtained.By means of the retrieval method and device, the water vapor profile can be obtained stably and rapidly through hyperspectral data retrieval, an important technical means is provided for monitoring water vapor distribution, the method and device are applicable to service application, and data product support is further provided for more deeply understanding and quantifying the feedback effect of water vapor on a weather system and a climate system.

The invention discloses a method of improving gravity field inversion precision based on disturbance intersatellite relative velocity. The method comprises steps that according to a satellite-borne range finer and a satellite-borne GPS receiver, and a disturbance intersatellite relative velocity (img file='DDA001263047990000011. TIF' wi='216' he='78'), a single satellite disturbance absolute velocity, and a disturbance absolute position are determined; according to the single satellite disturbance absolute velocity, a Lagrange interpolation formula is adopted to calculate a double-satellite disturbance absolute acceleration vector difference (img file='DDA0001263047990000012. TIF' wi='190' he='79'); according to the disturbance absolute position, a unit vector is determined; according to the determined unit vector and the double-satellite disturbance absolute acceleration vector difference (img file='DDA0001263047990000013. TIF' wi='202' he='78'), the line of sight (img file='DDA0001263047990000015. TIF' wi='347' he='78') of the determined double-satellite disturbance absolute acceleration vector difference (img file='DDA0001263047990000014 TIF' wi='166' he='79') is determined; according to the line of sight (img file='DDA0001263047990000015. TIF' wi='347' he='78') and the disturbance intersatellite relative velocity, a disturbance intersatellite relative velocity observation equation is determined; according to the disturbance intersatellite relative velocity observation equation, earth gravity field inversion is carried out, and earth gravitation potential coefficient precision and accumulated geoid precision are determined. The method is advantageous in that the inversion of the earth gravity field is carried out accurately and quickly, and the earth gravity field inversion precision and spatial resolution are improved.

The present invention relates to ore deposit prospecting method and is especially one multielement optimized control method of prospecting ore deposit. The optimized method finds out the abnormal theoretical value characteristic of the ore-forming elements and spatial distribution rules based on the analysis and test of all elements in samples from the prospected area to reach the aim of prospecting ore deposit. The specific steps includes field operation and laboratory analysis and test, including clustering analysis, target grouping analysis, dendrogram drawing, ore-controlling element optimization, regression equation establishment for ore-forming elements and ore-controlling element, ore-forming element theoretical value calculation, drawing, etc.

The invention relates to a method for inverting an earth gravity field of a residual inter-star velocity, and the method is characterized in that high-precision residual inter-star velocity observation quantity of a satellite-borne laser interference range finder is introduced into a sight component of a residual track velocity differential vector of a global positioning system (GPS) receiving machine to establish a novel residual inter-star velocity observation equation so as to precisely and rapidly invert the earth gravity field; the precision for calculating the earth gravity field is high, the satellite gravity inversion velocity is fast, requirement on the computer performance is low, the method is sensitive to high-frequency signals in the gravity field, and easiness for analyzing the satellite gravity inversion error is realized; and the residual inter-star velocity method is a key technology for establishing a high-precision and high spatial-resolution global gravity field model.

The invention discloses a reservoir fracture prediction method and apparatus, and belongs to the field of oil and gas exploitation. The reservoir fracture prediction method comprises the steps of 1: randomly generating a plurality of fractures in a work area range, and obtaining initial feature parameters of the fractures; 2: building a discrete fracture mesh model; 3: performing production history numerical simulation to obtain a production dynamic parameter simulation value; 4: obtaining a covariance matrix of an error between the production dynamic parameter simulation value and an actual production dynamic parameter, and then obtaining Kalman gain; 5: adjusting the initial feature parameters to obtain new feature parameters, and calculating a variance of the new feature parameters; and 6: judging the convergence of the new feature parameters, and if the new feature parameters are not converged, repeating the steps 2-5, or otherwise, taking the new feature parameters as final feature parameters of reservoir fractures. According to the method and the apparatus, the reservoir fracture prediction is performed based on the discrete fracture mesh model and the Kalman gain, so that the reservoir fracture information can be predicted more accurately.

The invention discloses a tracking accuracy inversion method based on sequence images. The method includes the steps of: 1. based on orbit / attitude data of an observation satellite that are already known, orbit / attitude data of a target satellite and a continuous image sequence, adopting a coordinate conversion method to obtain an ideal position for selection of a target point; 2. obtaining the actual position of the target point through a method of obtaining a basic transformation matrix method based on coplanar feature point search; and 3. obtaining a difference between the ideal position and the actual position of the target point, and based on given camera parameters, obtaining an inversion error expressed in the form of an angle. The tracking accuracy inversion method provided by the invention uses the photographed continuous image sequence to track a pointing error of the observation satellite to the target satellite through inversion, and the method can cover three circumstances of hovering, approach and fly-around.

The invention relates to a numerical value general solution method for a heat conduction heat source position recognition inverse problem. The numerical value general solution comprises the following steps that a heat conduction source position recognition inverse problem is described, the next step is directly executed if a heat conduction source is a point source, and if the heat conduction source is a non-point source, a conversion algorithm is adopted to convert the non-point source inverse problem into a point source inverse problem, and then the next step is executed; a homogeneous solution and a particular solution are calculated to construct a numerical value general solution; a system of linear equations is solved, and heat source position parameters are obtained. According to the method, the numerical value general solution meeting a heat conduction differential equation and using the heat source parameters as variables is constructed based on the finite element numerical solution, the heat conduction position recognition inverse problem is converted into a multivariate function extremum problem, and the heat source parameters are rapidly obtained through inversion. The method not only can inverse the point heat source position, but also can inverse the positions of heat sources in any shape, thereby being wide in application range, high in adaptability and good in engineering application prospect.

The invention discloses a pre-stack seismic inversion method and a system thereof. The pre-stack seismic inversion method includes the following steps that a longitudinal wave impedance reflection coefficient, a transverse wave impedance reflection coefficient and a density reflection coefficient corresponding to a longitudinal wave impedance initial model, a transverse wave impedance initial model and a density initial model respectively are obtained based on the longitudinal wave impedance initial model, the transverse wave impedance initial model and the density initial model; a simulation pre-stack angle gather is obtained by the adoption of the reflection coefficients according to the Fatti approximate equation and the convolution principle forward modeling; an error function is established based on the simulation pre-stack angle gather and an actual pre-stack angle gather; a pre-stack inversion target model is established according to the actual pre-stack angle gather; the pre-stack inversion target model is processed through the error function, and the longitudinal wave impedance, the transverse wave impedance and the density are obtained through inversion. According to the pre-stack seismic inversion method and the system thereof, the rock stratum density can be obtained directly through inversion, and the advantages of being high in computation speed and good in stability are achieved.

The invention relates to a method for inverting the mass concentration of atmospheric particulates based on the flight time of the particulates. The mass concentration of the particulates can be inverted according to the flight speed and the sampling flow on the basis of an aerodynamic particulate spectrometer. According to the work principle of the aerodynamic particulate spectrometer, the particulates with different particle sizes have only speed up at any one point on an airflow track after the particulates pass through an accelerating nozzle, so the flight speed of particles can be obtained through the flight time. The relationship between the flight speed and the mass of the particles can be obtained according to a momentum conservation theorem and aerodynamic and hydromechanical principles, so the mass concentration of the particulates can be inverted through the flight speed and the sampling flow. The method provided by the invention can be used for inverting the mass concentration of the atmospheric particulates according to the dynamic feature of the particulates and provides an inversion algorithm capable of measuring the mass concentration of the atmospheric particulates accurately, in real time and on line.

The invention discloses a method for accelerating the short-wave infrared satellite carbon dioxide inversion speed. The method comprises the steps that 1, a geographic grid carbon dioxide priori covariance matrix is calculated on the basis of a priori outline database of carbon dioxide; 2, a weighting function of the carbon dioxide concentration is calculated by a layer-by-layer forced interference method; 3, the carbon dioxide concentration value is calculated in an iteration way by an optimum inversion method, in addition, the updated carbon dioxide concentration data is input into a radiation transmission model, and a satellite observation simulation value is calculated in a positive direction; 4, a cost function value is calculated by using the satellite observation simulation value, and if the cost function is reduced, the inversion is completed; otherwise, an iteration factor value is reduced, and the iteration is continuously carried out. The method provided by the invention has the advantages that the mode of increasing the iteration step length factor is utilized, the problem of too small iteration step length in the short-wave infrared band carbon dioxide satellite remote sensing optimum inversion process is solved, and an effective technical method is provided for fast and stably realizing the carbon dioxide concentration inversion.

The invention discloses a measuring method and device for inverting optical properties of aerosol based on tetrapolyoxygen absorption. The method comprises the steps of: establishing an atmospheric radiation transmission model; analyzing and calculating the sensitivity of O4 batter post concentration to aerosol optical parameters; performing parameterization expression on inversion key parametersto obtain aerosol optical parameters; substituting different atmospheric aerosol states into the atmospheric radiation transmission model, simulating O4 absorption intensity, and establishing a lookuptable; building a ground-based passive differential absorption optical system capable of performing all-sky observation; obtaining actual scattered spectrum of all-sky different angles in the atmosphere, performing passive differential absorption spectrum fitting, and measuring the actual O4 absorption intensity; and performing least square fitting on the actual measurement result and the simulation result, and performing inversion. By adopting the measuring method and device disclosed by the invention, an asymmetry factor and a single scattering albedo of the aerosol are obtained, the measurement of atmospheric extinction is realized without the need for absolute light intensity, and errors introduced by horizontal unevenness and vertical distribution difference of the aerosol are eliminated.

A magnetic recording apparatus equipped with a recording circuit for generating a recording current corresponding to an input recording signal, a magnetic head, operable in response to the generated recording current, for recording, in a magnetic recording medium, data corresponding to the input recording signal, and a waveform shaping section for shaping the generated recording current such that a current value of said recording current approximates to a predetermined value while keeping thereover throughout a period corresponding to the data length. Both the recording circuit and the waveform shaping section may be mounted in an integrated form on a single microchip. The result is that the input recording signal can be transferred at high speed as measures are provided to reduce both a rise time and a fall time of the recording current.

The invention provides a ground-based infrared remote sensing surface temperature inversion method, and the method comprises the steps: 1, building a measurement system and collecting the factors thataffect the measurement data; 2, finding out the main factors affecting the infrared remote sensing surface temperature through the measurement system at step 1, taking the main factors as input parameters; 3, building a BP neural network by the sample data measured at step 1; 4, correcting the data measured at step 1 through using the measurement data of a measurement station, and verifying the correctness of the method through platinum resistance measurement. The method provided by the invention can perform the remote measurement of any land surface through the principles of infrared radiation, and solves the problems of the conventional platinum resistance measurement.

The invention discloses a rapid inversion method and device for a carbon dioxide drive reservoir gas channeling channel. The method comprises the following steps that a physical assumption of carbon dioxide distribution of the gas channeling channel is established, it is set that the hydrocarbon-containing pore volume of the gas channeling channel is completely occupied by carbon dioxide gas whencarbon dioxide gas channeling occurs; based on the physical assumption, the cross section area A<j> of a gas channeling channel between a gas injection well and the jth target oil production well is calculated, j belongs to 1, 2,... N, and N is the total number of the target oil production wells; and based on the physical assumption and the cross sectional area A<j>, the permeability level difference beta<kj> of the gas channeling channel is calculated, and j belongs to 1, 2,... N. According to the method, rapid inversion of the gas channeling channel can be achieved, the method has the advantages of being simple in structure and convenient to use, the problems that a conventional gas channeling channel inversion method is high in cost and long in construction period are solved, and an important crack characteristic parameter basis is provided for numerical simulation of a low permeability-tight oil carbon dioxide drive reservoir and crack channeling sealing optimization design.

The invention discloses an 8-millimeter waveband synthetic aperture radiometer antenna array layout method capable of relieving aliasing, which is used in the layout of the antenna arrays of an 8-millimeter waveband synthetic aperture radiometer to relieve the aliasing effect in imaging when the conventional array layout is used. The array layout of the method is mainly characterized in that: the array layout is based on the conventional Y-type array layout; and a uniform linear array having the same size as the conventional Y-type array is arranged on the reversely extended line of each arm of the conventional Y-type array at a distance that is 1.5 times antenna unit spacing from a central antenna unit. Compared with the conventional Y-type array layout, the array layout greatly relieves the aliasing degree of inversion imaging as the sampling interval of a signal in spatial frequency reduces by half.

The invention relates to an extraction method of the wave propagation direction based on a water surface state continuous imaging system. The extraction method comprises the following steps that (1) detection area wave echoes are collected by using the water surface state continuous imaging system, and the continuously collected echoes are sampled and imaged so that N frames (the general values of N are 32, 64, 128, etc.) of echo image sequences are formed; (2) the collected echo image sequences are preprocessed and the background noise in the images is filtered; (3) optical flow motion estimation is performed on the preprocessed image sequences so that the motion vector set of N frames of echo image sequence pixel points is obtained; (4) the motion speed of all the pixel points in the motion vector set acts as the weight, and weighted averaging is performed on all the pixel point directions so that the overall motion direction of the set of all the pixel points is acquired; and (5) relative coordinate correction is performed on the overall motion direction so that the final wave propagation direction calculation result can be obtained. A new method is provided for extraction of the wave propagation direction based on the water surface state continuous imaging system. Meanwhile, the method is simple and efficient, less in resource occupation, suitable for various types of X-band radar and also suitable for infrared and visible light imaging systems so as to have wide application value.

The invention provides a layered medium resistivity anisotropy ocean controllable source electromagnetic rapid inversion method. The method comprises the steps of reading and converting inversion data; setting inversion execution parameters; setting inversion initial model parameters; constructing an anisotropic resistivity inversion objective function; solving a Jacobian matrix and a Hessian matrix of an electromagnetic field about the anisotropic resistivity; calculating a regularization factor in a self-adaptive manner based on inversion parameter characteristics; solving a model updating amount; calculating an objective function fitting difference of the inversion iteration model; judging whether inversion requirements are met or not; outputting a final inversion model. According to the method, the anisotropic resistivity of a seabed medium and the thickness of a seabed stratum can be inversed at the same time, so that relatively complex seabed stratum distribution can be obtainedby utilizing an inversion model with a small number of layers, and the method has the characteristics of high inversion speed, high efficiency and adaptability to complex geoelectric model inversion.The inversion method provides a feasible technical means for rapidly detecting data quality and obtaining inversion interpretation results in the field.

The invention discloses a Martian atmospheric dust aerosol optical depth retrieval method. The method comprises the steps of performing calibration on MEX-PFS data to obtain PFS observation radiance data and observation noises; performing sensitivity analysis on factors including dust aerosol, atmospheric temperature, carbon dioxide, surface temperature and surface emissivity, and selecting a dustaerosol retrieval spectrum section; by using a surface emissivity real value, an atmospheric background data initial value and a surface temperature initial value, generating a Martian atmospheric state vector initial value; at the dust aerosol retrieval spectrum section, calculating atmospheric layer top outgoing radiance under the atmospheric state vector initial value condition, and adding theobservation noises to obtain simulated PFS radiance; and retrieving an atmospheric state vector, and cyclically calculating the simulated PFS radiance to minimize a cost function. According to the method, the dust aerosol content retrieval can be stably, quickly and conveniently performed; and the influence of Martian surface contribution inaccuracy on atmospheric retrieval result precision is reduced.

The invention discloses an aerosol extinction coefficient inversion method based on a deep belief network. The method comprises the following steps: S1, echo power signals of a Mie scattering lidar and an aerosol extinction coefficient obtained by inversion of a Raman lidar are obtained, and training and test sample sets are formed; S2, a normalized training sample set is obtained; S3, a deep belief network is built according to the normalized training sample set, network parameters are adjusted, and the network is trained; S4, the echo power signals of the test sample set are inputted to an optimized network to obtain network output, a network output result is compared with the aerosol extinction coefficient of the test sample set to judge whether to meet an expected condition; and S5, ifthe comparison result meets the expected condition, network optimization is ended, and if not, the third step is returned to continue to train the deep belief network until the comparison result meets the expected condition. The Mie scattering lidar detection precision is improved, and quick and accurate inversion of the aerosol extinction coefficient is realized.

The invention discloses a one-dimensional synthetic aperture radiometer sea surface wind speed inversion method based on deep learning. The method comprises the following steps of obtaining sea surface temperature, sea water salinity, sea surface relative wind direction, incident angle, atmospheric water vapor content and cloud liquid water content, inputting the sea surface temperature, the sea water salinity, the sea surface relative wind direction, the incident angle, the atmospheric water vapor content and the cloud liquid water content into a radiation transmission forward model to obtaina simulated brightness temperature, and inputting the sea surface temperature, the sea water salinity, the sea surface relative wind direction, the incident angle, the atmospheric water vapor content, the cloud liquid water content and the simulated brightness temperature into a deep learning inversion model constructed based on a convolutional neural network to obtain the sea surface wind speed.The inversion precision is improved, and a method is provided for the one-dimensional synthetic aperture microwave radiometer to invert the sea surface wind speed.

The invention discloses a quantitative sea surface wind detecting method. The method comprises the steps that 1) a sector-shaped wave beam rotary scanning scatterometer obtains a measured value of a backward scattering coefficient, and obtains distribution of the observation value in a wind unit; 2) backward scattering coefficient measured values within the wind unit are divided and ordered according to the incidence angle and azimuth to obtain backward scattering coefficient observation vectors respectively; and 3) main component transformation is carried out on the backward scattering coefficient observation vectors within the wind unit to obtain characteristic values corresponding to the vectors, q backward scattering observation vectors with the maximal characteristic values are selected according to the characteristic values, and the wind field is calculated by inversion. According to the method of the invention, information provided by the sector-shaped wave beam rotary scanningscatterometer is used effectively, and high-efficiency rapid inversion of the sea surface wind field is realized.