38 results about "Spectral fitting" patented technology

The invention discloses a film thickness measurement method and system based on a line scanning hyperspectral camera, and relates to the technical field of hyperspectral imaging, and the method comprises the steps: obtaining a reflection or transmission spectrum image and a dark noise image, and carrying out the denoising processing; using a hyperspectral camera and an integrating sphere to carry out radiation correction on the reflected or transmitted spectral image; acquiring a film reflectivity or transmissivity spectrum according to the transmission spectrum without the film or the standard specular reflection spectrum; and determining the number of global interference periods according to a reflectivity or transmissivity curve, and calculating by using a fast Fourier transform method or a spectrum fitting method to obtain the film thickness. Image data with space and spectrum information is acquired through a hyperspectral camera, high-precision film thickness measurement under global imaging and dynamic scanning is realized through an algorithm combining fast Fourier transform and spectrum fitting, and meanwhile, the film thickness measurement precision is improved by adopting dark noise correction and integrating sphere radiation correction. The quantitative accuracy of incident light and sample reflection or transmission light is ensured, and the detection efficiency is greatly improved.

The invention discloses a spectrum simulation control method and system for all-weather illumination and a storage medium, and belongs to the technical field of illumination control, and the method comprises the steps: constructing a reference spectrum model with solar terms, time and weather conditions as indexes, the model being established based on multi-band solar spectrum data of a target area and associated environmental parameters; configuring a composite LED light source covering ultraviolet, visible and infrared bands, calling the reference spectrum model in combination with the current solar term, time and environmental parameters, and resolving to generate a multi-channel driving signal to drive the light source to fit a target spectrum; and closed-loop control is formed through real-time feedback and correction of the spectrum sensor. The system for realizing the method comprises a data acquisition and modeling module, a spectrum fitting and control module, a composite LED light source module and other core units. The system can reproduce a natural spectrum in a high-fidelity manner, has dynamic self-adaption, all-weather coverage and personalized adjustment capabilities, is stable and reliable in operation, and can be widely applied to various illumination scenes.

The invention provides a light spot measurement system and method. The system comprises a measurement module, a light source and a spectrograph. The light source is used for projecting a light spot to the standard mark, and the light spot and the standard mark generate relative displacement in a preset direction at a preset speed; the spectrograph is used for measuring spectral information of reflected light of the standard mark; the measuring module is used for determining the corresponding spectrum goodness of fit and the time duration when the spectrum goodness of fit is larger than a preset value in the relative displacement process according to the spectrum information collected by the spectrograph at different moments, and determining the spot size of the spot according to the time duration, the preset speed and the size of the standard mark in the preset direction. The accuracy of light spot measurement can be improved.

The present disclosure relates to a method for predicting the enthalpy of a phase change material, a near-infrared spectrum of a phase change material sample is subjected to a partial least squares regression analysis with a standard enthalpy to establish a first calibration model; then a spectral fitting residual matrix is selected according to the construction process of the first calibration model, the spectral fitting residual matrix and the enthalpy matrix are combined, and are used as input signals and teacher signals of an extreme learning machine respectively to obtain a second calibration model; through the combined application of the first calibration model and the second calibration model, the linear relationship and the nonlinear relationship between the near-infrared spectrum of the phase change material sample and the enthalpy can be comprehensively considered, the enthalpy prediction capability in a wide range is achieved, and the model prediction accuracy is improved.

The invention discloses a multifunctional spectrum lamp. Comprising a driving module, an LED light source, an aluminum substrate, a lens and an embedded software module, the LED light source is formed by four independent light source modules with different primary colors and is shaped like a Chinese character'tian ', and the LED light source is fixed on the aluminum substrate; the lens is mounted on the LED light source; the embedded software module comprises a spectrum simulation display module and a transmission module; the spectrum simulation display module is used for generating spectrum fitting data based on spectrum and photoelectric parameters input and set by each light source module, and transmitting the spectrum fitting data to the driving module through the transmission module; and the driving module is fixed on the aluminum substrate, is electrically connected with the LED light sources through the aluminum substrate, and controls and adjusts the power supply current proportion of each light source module according to the spectrum fitting data.

A method comprises obtaining, via one or more sensors positioned in a wellbore formed in a subsurface formation, a full spectrum of the subsurface formation at a first depth, wherein the full spectrum is decomposed into peak components and continuum background components. The method comprises identifying one or more elements based on the peak components. The method comprises modifying a generalized set of elemental standards to generate a constrained set of elemental standards based on the one or more elements. The method comprises performing a fitting of the full spectrum to the constrained set of elemental standards to determine an elemental composition at the first depth of the subsurface formation.

The invention belongs to the technical field of environment remote sensing and atmospheric science, and particularly relates to a methane column concentration remote sensing inversion system for eliminating an aerosol absorption effect and a method thereof. The core-shell aerosol simulation module is used for constructing a core-shell particle size structure, and SSA and ASY characteristic values under each combination are calculated by adopting a Mie theory; an aerosol lookup table construction module screens out an aerosol lookup table according to the interval constraint of SSA in a specific wave band; the SBDART spectrum simulation module reads the aerosol lookup table and the meteorological parameter file, and calculates the absorption spectrum response of the target area; the SCIATRAN input conversion module is used for processing the spectral data to generate an input data set conforming to an SCIATRAN format; and the methane column concentration inversion module combines SCIATRAN analog output and a remote sensing observation spectrum to carry out spectrum fitting and residual error optimization, and outputs a final methane column concentration estimation value. According to the method, errors caused by aerosol absorption are effectively reduced, and the inversion reliability and regional adaptability of the concentration of the methane column are improved.

The present application relates to camouflage recognition imaging system and camouflage recognition method, specifically relates to a kind of multispectral camouflage recognition imaging system and camouflage recognition method, solve the technical problems that existing camouflage recognition imaging system range of matter is small, application scene is limited, or camouflage recognition method cannot real-time imaging, real-time identification, or spectral database construction efficiency is low.The multispectral camouflage recognition system of the present application includes image acquisition unit, data processing unit and display storage unit, image acquisition unit uses snapshot type spectral imaging chip, can real-time exposure, real-time data processing;Data processing unit can obtain continuous spectral information by means of spectral fitting degree identification technology, according to the characteristic spectrum of different kinds of identification target selects feature database, changes identification target, greatly increases the identifiable spectral range.In the multispectral camouflage recognition method of the present application, spectral correction is included, can remove the interference of environmental light factor, work under different daylight color temperature.

The invention provides a spectrum fitting method, which comprises the following steps of: firstly, acquiring a target spectrum chart containing a corresponding relationship between wavelength and radiation power, identifying a target maximum peak wavelength in the target spectrum chart, and selecting a matched chip model from a preset chip data table; identifying a target secondary peak wavelength, and selecting one-to-one corresponding fluorescent powder models from the fluorescent powder data table; then, synthesizing a current spectrogram according to spectrogram data of the chip and the fluorescent powder model, and comparing optical parameters of the current spectrogram with optical parameters of a target spectrogram; if yes, trial matching succeeds; and if not, adjusting the weight of the fluorescent powder model according to a preset rule, and re-synthesizing and comparing. Compared with a traditional mode of relying on artificial experience judgment and repeated physical matching tests, the method has the advantages that the lengthy adaptation period is avoided, the material consumption is reduced, the adaptation cost is reduced, and the product research and development iteration efficiency is improved.

Systems, devices, and methods for scanning a laser into wings of an absorption feature; fitting a polynomial to the edges of the scan; dividing a transmitted signal by a fit-derived baseline to compute a transmission of the light; fitting a spectral model with the transmitted signal; and solving for a mole fraction.

The invention provides a method and a system for widening an output spectrum of a mode-locked femtosecond laser and the femtosecond laser, and relates to the technical field of mode-locked femtosecond lasers. The widening method comprises the following steps: fitting a gain spectrum curve of a laser gain crystal to obtain a gain spectrum fitting curve about wavelength; fitting the output rate curve of the output mirror based on a preset shape to obtain an output rate fitting curve about the wavelength; determining a comprehensive gain spectrum curve about the wavelength according to the gain spectrum fitting curve and the output rate fitting curve; adjusting the output rate fitting curve to enable the laser spectrum width of the comprehensive gain spectrum curve to meet a preset width; and determining the adjusted output rate fitting curve as a target output rate fitting curve, so that an output mirror prepared through the target output rate fitting curve outputs an output spectrum meeting a preset width. According to the invention, the mode-locked femtosecond laser can output an output spectrum with a wide laser spectrum width.

This invention discloses a hyperspectral image stitching method and system based on spectral fitting. The method includes extracting feature points from each hyperspectral image, matching feature points from multiple hyperspectral images, transforming feature points obtained from the feature points, constructing a spectral fitting function for the overlapping region based on the set of feature point pairs, obtaining the corresponding spectral coefficients by minimizing the spectral fitting function, calculating the new spectral values ​​of pixels in the overlapping region, keeping the non-overlapping region unchanged, and then fusing them to obtain the final panoramic image, achieving a better stitching effect.

This invention discloses a method for fitting infrared spectra of greenhouse gases based on iterative inversion of instrument line function, relating to the field of atmospheric greenhouse gas infrared spectroscopy measurement technology. This method, based on iterative inversion of instrument line function, obtains greenhouse gas concentrations and fits calibrated spectra by iteratively calibrating infrared spectral parameters and instrument line function. By acquiring dynamic conditions such as current ambient temperature and gas pressure, and combining them with absorption cross-section reference values ​​in a database, this invention can calculate the absorption cross-section value under real conditions for each wavenumber point, eliminating errors caused by fixed parameter assumptions. Furthermore, by iteratively optimizing the instrument's center wavenumber and resolution width, the matching degree between the calibrated spectrum and the actual measured spectrum is significantly improved, especially under high noise and complex multi-component interference conditions, enhancing the overall accuracy of spectral fitting and thus ensuring the accuracy and reliability of greenhouse gas concentration inversion data.

The application discloses a broadband cavity enhanced absorption spectrum system detection optimization method, medium and equipment, the method first calibrates the broadband cavity enhanced absorption spectrum detection system, obtains the effective optical path curve and the absorption cross section of the to-be-detected gas of the system, and then constructs a plurality of spectral fitting band parameters according to the intensity of the absorption peak in the effective optical path curve and the absorption cross section of the to-be-detected gas. Actual observation is carried out, and an atmospheric actual measurement spectrum diagram is obtained. The actual measurement spectrum diagram is first subjected to spectral fitting by using low-range spectral fitting parameters, and the fitting result is judged. If the fitting result is within the measurement range of the spectral fitting parameters, the result is output. If the range of the fitting result exceeds the measurement range, higher-range spectral fitting parameters are replaced, spectral fitting is carried out again, and until the spectral fitting result meets the measurement range, the result is output.

The application discloses a kind of soil organic carbon and spectral coupling generation model method and system, belong to soil remote sensing monitoring technical field.The method includes five core steps of data preprocessing, dry soil spectrum fitting, SOC mapping model construction, morphological parameter generation, spectral reconstruction and bidirectional verification.Brightness-shape-humidity (BSM) theoretical framework separates spectral brightness and shape effect, fuses random forest algorithm and double-stage hybrid optimization model, and constructs the bidirectional reversible mapping system between spectral morphological parameter and SOC content.The application breaks through the limitation of traditional technology one-way inversion, can be based on soil spectrum high-precision inversion SOC content, and can also generate high-fidelity soil spectrum according to target SOC content, has physical explainability and data-driven flexibility, solves the technical problems of cross-regional spectral deviation and lack of explainability, and provides reliable tool for soil carbon cycle remote sensing monitoring.

The present invention provides a method and system for broadening the output spectrum of a mode-locked femtosecond laser, and a femtosecond laser, which relate to the technical field of mode-locked femtosecond lasers. The broadening method includes: fitting the gain spectral curve of a laser gain crystal to obtain a gain spectral fitting curve with respect to wavelength; fitting the output rate curve of an output mirror based on a preset shape to obtain an output rate fitting curve with respect to wavelength; determining a comprehensive gain spectral curve with respect to wavelength according to the gain spectral fitting curve and the output rate fitting curve; adjusting the output rate fitting curve so that the laser spectral width of the comprehensive gain spectral curve meets a preset width; and determining the adjusted output rate fitting curve as a target output rate fitting curve, so that the output mirror prepared through the target output rate fitting curve outputs an output spectrum with a preset width. The present invention can enable the mode-locked femtosecond laser to output an output spectrum with a relatively wide laser spectral width.

This invention relates to the field of spectral analysis technology, and particularly to a spectral fitting method and system for a spectrally tunable light source. The system includes a host computer and a slave computer. The slave computer includes a light source unit, a spectral sensing unit, an optical path guiding unit, a standard reference unit, a measurement platform unit, and a radiation dose monitoring unit. The host computer includes a communication control module, a data storage module, a spectral modeling module, and a fitting decision module. In this scheme, by employing staged, physically isolated spectral fitting control, the time-consuming drive search and iterative optimization process is entirely completed on the standard reference unit, with only a very small number of verification irradiations performed on the photosensitive object under test, thereby technically minimizing the light radiation interference on the object under test.

The invention provides a spectrum fitting method, device and system. The method comprises the steps that a first device obtains a spectrum of a multi-channel light source; the spectrum of a target color in a standard color card is fitted according to the spectrum of the multi-channel light source, a target proportion value is obtained, and the target proportion value is used for a second device to adjust the brightness proportion value of the multi-channel light source according to the target proportion value so that the second device can output target colored light, the cost of a color matching experiment can be reduced, and the accuracy of the color matching experiment is improved.

The invention discloses an advanced fitting analysis method and system for an SFG spectrum. The method comprises the following steps: after preprocessing original SFG spectral data, automatically generating an initial amplitude and a central position of a Gaussian peak in combination with data local maximum intensity within a specified search tolerance range according to a predefined peak group and a nominal center of a target peak; fitting the spectral data by using a multi-Gaussian function model and a nonlinear least square optimization algorithm to obtain fitting parameters of each Gaussian peak; refining and combining Gaussian peak parameters after successful fitting; automatically identifying and calculating the intensity of a specific key characteristic peak; and generating a detailed SFG spectrum fitting graph and a fitting parameter report. According to the method, accurate, stable and automatic deconvolution and quantitative analysis of the SFG spectrum are realized, and objective and repeatable data with deep physical and chemical significance is provided for the fields of material science, surface chemistry and the like.

The invention discloses an AI adaptive healthy lighting cooperative control system and method based on multi-modal physiological perception. The system comprises a multi-modal sensor module, an AI decision control module, a multi-channel LED driving module and a full-spectrum LED light source module. The method comprises the following steps: acquiring environment illumination intensity, color temperature, full spectrum distribution and human body existence and movement track data, and inputting the data into a pre-trained deep light color adaptation model; a pupil fluctuation response model, a spectrum fitting compensation algorithm and a crowd visual transient characteristic library are built in the model, environment parameters, human body states, time and crowd types are used as input, and cooperative control parameters of brightness, color temperature and ultrahigh frequency strobe frequency are dynamically decoupled and output. The integrated design of physiological perception, AI decision making, spectrum fitting and dynamic prediction is achieved, the visual comfort is improved, eyesight health is protected, and meanwhile energy consumption is reduced.

The present invention relates to a spectrum matching method and device based on filter and brightness optimization, by adding a filter matrix in front of an artificial light source to obtain an integrated light source, and the filter matrix is ​​a matrix of a plurality of non-electrochromic filters and a plurality of electrochromic filters whose wavelength coverage range includes the visible light wavelength range, and an order of the number of electrochromic filters, which meets the continuity requirement of the spectrum. Finally, the brightness of the luminous spectrum of the integrated light source is optimized and adjusted by an optimization model solving algorithm, so as to achieve a high-precision spectral fitting effect, thereby realizing a high-precision matching between the luminous spectrum of the artificial light source and the target spectrum.

The invention discloses a broadband cavity enhanced absorption spectrum system detection optimization method, a medium and equipment, and the method comprises the steps: firstly, calibrating a broadband cavity enhanced absorption spectrum detection system, and obtaining an effective optical path curve and a to-be-detected gas absorption cross section of the system; and constructing a plurality of spectrum fitting wave band parameters according to the effective optical path curve and the intensity of the absorption peak in the section of the gas to be detected. The method comprises the following steps: carrying out actual observation to obtain an atmospheric measured spectrogram, firstly carrying out spectrum fitting on the measured spectrogram by selecting a low-range spectrum fitting parameter, judging according to a fitting result, outputting the result if the fitting result is within the measurement range of the spectrum fitting parameter, and outputting the result if the range of the fitting result exceeds the measurement range. And if not, replacing with a higher-range spectrum fitting parameter, carrying out spectrum fitting again, and outputting a result until a spectrum fitting result accords with the measurement range.

The invention relates to the technical field of spectral data processing, in particular to an NBI Doppler frequency shift spectrum fitting method and system for optimizing high-value region stability. According to the technical scheme, the method comprises the following steps: data loading and preprocessing: obtaining wavelength and intensity data of an NBI Doppler frequency shift spectrum, after preprocessing, identifying characteristic peaks in the spectrum, and extracting peak height, peak position and peak width parameters of the characteristic peaks; and background fitting: a final background curve is obtained by combining quadratic polynomial fitting with pure background region screening, and a pure background region is defined according to a residual error of initial background fitting. By introducing a mixed peak shape model, two-step background fitting and a differential parameter constraint and weighted optimization strategy aiming at a high-value peak, the technical bottlenecks of poor model suitability, inaccurate background estimation, high-value region easy oscillation and the like in traditional NBI Doppler frequency shift spectrum fitting are systematically solved; and the overall precision of spectrum fitting, the stability of a high-value region and the processing efficiency are remarkably improved.

A focusing method for an optical device, a focusing system, a device, and a storage medium, wherein the optical device includes a spectrum collector, and the focusing method includes: obtaining a reference spectrum; collecting test spectra of an object to be tested at different test focus heights through the spectrum collector; obtaining spectral fitting parameter values for each of the test spectra and the reference spectrum, wherein the spectral fitting parameter values are positively correlated or negatively correlated with the error value between the test spectrum and the reference spectrum; and extracting, based on the spectral fitting parameter values, a test focus height corresponding to the spectral fitting parameter value that minimizes the error value as a first in-focus height. The present invention uses the spectral fitting parameter values of the spectral data to determine whether the object to be tested is in focus, thereby performing focus adjustment. Therefore, it is possible to improve focusing efficiency while ensuring focusing accuracy without adding additional hardware modules (e.g., a focus detection module).

This invention discloses an image fusion method for improving the spatial resolution of shortwave infrared remote sensing images, comprising: step 1, inputting remote sensing images; step 2, adjusting the spatial resolution of remote sensing image B; step 3, principal component analysis of image A; step 4, overlaying and recombining images A, C, and D; step 5, setting a virtual moving window; step 6, determining dominant ground feature pixels; step 7, calculating the spectral composition of dominant ground feature pixels; step 8, spectral fitting; step 9, spectral reconstruction; and step 10, generating a high-resolution shortwave infrared image. This image fusion method for improving the spatial resolution of shortwave infrared remote sensing images has the advantages of high fidelity, simplicity, stability, reliability, and high computational efficiency. It utilizes principal component transformation to extract high-resolution spatial information from spectral images and spectral fitting to fully leverage the spectral information of multispectral and shortwave infrared images, thus improving the spatial resolution of shortwave infrared images while maintaining spectral characteristics.

The present invention discloses a film thickness measurement method and system based on a line-scanning hyperspectral camera, which relates to the field of hyperspectral imaging technology. The method includes: obtaining a reflection or transmission spectrum image and a dark noise image, and performing denoising processing; using a hyperspectral camera and an integrating sphere to perform radiation correction on the reflection or transmission spectrum image; obtaining a film reflectivity or transmittance spectrum based on the transmission spectrum in the absence of a thin film or a standard mirror reflection spectrum; determining the number of global interference cycles based on the reflectivity or transmittance curve, and calculating the film thickness using a fast Fourier transform method or a spectral fitting method. The hyperspectral camera is used to obtain image data with spatial and spectral information, and an algorithm combining fast Fourier transform and spectral fitting is used to achieve high-precision film thickness measurement under global imaging and dynamic scanning. At the same time, dark noise correction and integrating sphere radiation correction are used to ensure the quantitative accuracy of the incident light and the sample reflected or transmitted light, greatly improving the detection efficiency.

The invention relates to the technical field of optical sensing imaging, in particular to a wavelength modulation SPR (Surface Plasmon Resonance) imaging sensing system and method, and the system comprises an image collection unit which comprises an incident light path assembly, a sensing assembly and a reflected light path assembly; the temperature control unit comprises a heating element positioned on one side, deviating from the coupling prism, of the sensing chip; and the data processing unit is used for fitting the sensing surface image acquired by the surface array detector and outputting the refractive index of the liquid to be detected. By adopting the low-cost monochromatic LED array, the system cost is greatly reduced, the stability is improved, and high-precision measurement in a wide dynamic range is realized through a self-adaptive spectrum fitting algorithm of the data processing unit; the temperature control unit is used for accurately controlling the temperature field of the liquid drops and manipulating the internal flowing mode of the liquid drops, so that directional enrichment of target molecules in a preset area is realized, substrate modification or exogenous additives are not needed, and the problem of probe saturation of the traditional coffee ring effect is effectively solved.

The invention provides an H2O phase change detection method based on a pumping-sum frequency detection technology, and relates to the field of spectral analysis and precise temperature control. According to the method, a set of pumping-sum frequency detection system construction process comprising a laser emission module, a light beam modulation module, a main temperature control system, a signal acquisition system and a synchronous controller is designed, and excitation and sum frequency detection of interface water molecule vibration energy level transition are realized by using three beams of laser with specific wave bands and polarization characteristics. By accurately controlling the laser pulse time delay and condensation temperature control process, sum frequency spectrum signals of different time nodes are collected, and real-time monitoring and reconstruction of vibration spectrum dynamic evolution in the H2O phase change process are achieved by combining spectrum fitting and time sequence integration. The device has the advantages of being high in time resolution, high in spectral sensitivity, capable of obtaining molecular scale phase change information in real time and the like, and is suitable for H2O phase change condensation kinetic research, high-precision dew point measurement, humidity calibration and other scenes.

Systems, devices, and methods for scanning a laser into wings of an absorption feature; fitting a polynomial to the edges of the scan; dividing a transmitted signal by a fit-derived baseline to compute a transmission of the light; fitting a spectral model with the transmitted signal; and solving for a mole fraction.

There is provided a system and method for OCD metrology, comprising: providing an interferometric mirror of the system at each of a plurality of positions z, where at each position a mirror reflection matches a reflected light path difference (OPD) from at least one reflective surface, and measuring an interferometer spectrum Imeasure with the mirror at each of the plurality of positions; fitting the spectra of the plurality of measurement interferometers to an Imeasure equation to solve non-z correlation parameters of the equation, and leaving a z correlation function with a complete coherence term and a partial coherence term of a wave number k; and removing the partial coherence terms of the function to derive a full coherence field for characterizing the OCD structure.