64 results about "Spectral response function" patented technology

A method of performing mass spectral analysis involving at least one of the isotope satellites of at least one ion, comprising acquiring a measured mass spectral response including at least one of the isotope satellites; constructing a peak component matrix with mass spectral response functions; performing a regression analysis between the acquired mass spectral response and the peak component matrix; and reporting one of statistical measure and regression coefficients from the regression analysis for at least one of mass spectral peak purity assessment, ion charge determination, mass spectral deconvolution, and mass shift compensation. A method for the identification of an ion in a sample through acquired MS scans, comprising obtaining an isotope pattern of an ion; constructing a projection matrix based on the isotope pattern or MS scan; projecting the isotope pattern or MS scan onto the projection matrix to calculate at least one of projection residual and projected data; and performing a statistical test on at least one of the projection residual and projected data to determine if the ion exists in the sample or if there is interference. A method which takes advantage of mass defect or isotope pattern analysis, and software and hardware for implementing all aspects of the invention.

The invention discloses a fabric image color calibration algorithm based on spectral reflectance reconstruction, relates to the field of fabric image color correction, and solves the problem that thereconstruction precision is affected by image acquisition color distortion in the existing method. The technical scheme includes: acquiring color training samples through collection; constructing a virtual imaging system, and calculating virtual system responses of all color training samples and corresponding spectral reflectance estimated values; performing color space conversion according to a color space conversion formula; adopting a defined spectrum reconstruction error evaluation function to determine a representative color training sample; obtaining a spectral response function of an actual imaging system according to the determined representative color training sample; and obtaining a corresponding reconstructed spectral reflectance through a Wiener estimation method, and obtaininga reconstructed RGB image through color space conversion. According to the fabric image color calibration algorithm based on spectral reflectance reconstruction, the quality of the fabric image is improved, and real yarn color information of the fabric image is obtained.

A combination of a response adapting filter (11, 12, 13) and a detector (14), the detector having a predetermined spectral response function to electromagnetic radiation, a method of its preparation, a camera (11, 12, 13, 14, 15) comprising such a response filter and detector combination, and use thereof in e.g. colour measurements in combination with an integrating cavity and a vision inspection system of natural and / or a synthetic material surfaces; also a display and detector combination, a method of displaying optical information, a colour display and monitor system, and a method of controlling colour display, said combination, systems and methods comprising such combination of a response adapting filter and a detector.

The invention provides a simulation method of natural colors of high-resolution remote sensing images based on field spectroscopic data; especially for high-resolution remote sensing images without blue-light waveband (such as SPOT, IRS and the like), the difficulty of natural color synthesis of the images can be solved by simulation of the blue-light wave band. The simulation method comprises the steps of: firstly, preprocessing the field object wave spectrum data according to wavelength bandwidth setting of images to be simulated and a spectrum response function; then selecting control points of spectrum samples automatically according to the cluster result of ISODATA (iterative self-organizing data) algorithm, and selecting spectrum candidate samples by a spectral matching algorithm; next, learning and training by using a support vector machine to construct a nonlinear relation model among the blue-light wavebands to be simulated and known wavebands; and finally, realizing calculation of the blue-light wavebands according to the nonlinear relation model (SVM). The simulated natural-color image product is natural in color tone and real in color, and can be used in multiple fields, the automatic simulation of the missing blue-light wavebands of the high-space-resolution remote sensing images and the making of natural-color images are realized and the workload of manual image adjustment is greatly reduced.

The invention relates to an SST inversion method and system based on Landsat 8 data. The method comprises that Landsat 8 optical and thermal-infrared remote sensing images and corresponding atmospheric contour data are read; on the basis of water-body and seawater emissivity data and a spectral response function of a Landsat 8 TIRS (Thermal Infrared Sensor), the atmospheric contour is used for driving, and channel brightness temperatures in the aerosphere top of two channels of the TIRS under different combined conditions of atmospheric conditions, SSTs and emissivities are simulated; and the obtained total atmospheric column water vapor content is used to divide the atmospheric column water vapor content into intervals, a split-window algorithm is used to construct SST inversion algorithms of the different water vapor content intervals, the SST is calculated, and a result is output. The system comprises a remote-sensing image reading module, an atmospheric water vapor data reading data, a data processing module and an SST inversion module. The system and method can be used to obtain high-precision SST.

The invention discloses a selection method of a hyperspectral detection channel for crude oil films with different thickness on the sea surface. The selection method comprises the following steps: obtaining actually detected spectral reflectivity data of sea water and the crude oil films with the different thickness; preprocessing Hyperion data; performing wave filtration on the actually detected spectral data; calculating the equivalent reflectance of Hyperion data environment noise; and normalizing simulated Hyperion channel data. According to the method, the spectral reflectivity data of the crude oil films with the different thickness on the sea is collected, the spectral response function and the equivalent reflectance of the environment noise of Hyperion sensor data are calculated, and the actually detected spectral data are subjected to wave filtration and normalization, so that the detection channel for the crude oil films with the different thickness on the sea surface is selected by a Hyperion sensor. According to the method, both the actually detected spectral difference and the influence from the environment noise in obtaining of a remote sensing image are taken into account, so that the method is geared to practical situations and relatively accurate in channel selection.

A method of performing mass spectral analysis involving at least one of the isotope satellites of at least one ion, comprising acquiring a measured mass spectral response including at least one of the isotope satellites; constructing a peak component matrix with mass spectral response functions; performing a regression analysis between the acquired mass spectral response and the peak component matrix; and reporting one of statistical measure and regression coefficients from the regression analysis for at least one of mass spectral peak purity assessment, ion charge determination, mass spectral deconvolution, and mass shift compensation. A method for the identification of an ion in a sample through acquired MS scans, comprising obtaining an isotope pattern of an ion; constructing a projection matrix based on the isotope pattern or MS scan; projecting the isotope pattern or MS scan onto the projection matrix to calculate at least one of projection residual and projected data; and performing a statistical test on at least one of the projection residual and projected data to determine if the ion exists in the sample or if there is interference. A method which takes advantage of mass defect or isotope pattern analysis, and software and hardware for implementing all aspects of the invention.

The invention relates to an apparatus for determining a detector energy weighting function of a detection unit (6). The apparatus comprises a determination unit (21) for determining a spectral response function of the detection unit (6) and a calculation unit (22) for determining the detector energy weighting function by integrating the product of the spectral response function of the detection unit (6) and a given ideal detector energy weighting function.

The invention relates to an apparatus for determining a detector energy weighting function of a detection unit (6). The apparatus comprises a determination unit (21) for determining a spectral response function of the detection unit (6) and a calculation unit (22) for determining the detector energy weighting function by integrating the product of the spectral response function of the detection unit (6) and a given ideal detector energy weighting function.

The present invention relates to the technical field of optical remote sensing, and more particularly to a sapce optical camera spectral radiation response function measuring device and method. The measuring device comprises a large dynamic range radiance adjustable integrating sphere light source, a standard filter radiance meter, an electronically controlled three-dimensional displacement table and a processing computer. By changing the diaphragm apertureof the satellite sphere to achieve the precise control of the luminous flux input to the integrating sphere, and using the multiple satellites and the main integrated sphere cascade technology, the adjustment range of the brightness can be greatly increased. With the use of traceability of the standard filtering radiance meter of the low temperature radiometer, the large dynamic range radiance adjustable integrating sphere light source radiance accurate calibration can be achieved. With the use of the alignment method, the high precision measurement of space camera spectral response function is achieved.

The invention discloses a spectrum calibration system suitable for a thermal infrared hyperspectral imager. According to the calibration system, a globar can emit stable thermal infrared radiation, and the thermal infrared radiation enters a monochrometer through a focusing lens, a reflector and a beam expanding lens, the thermal infrared radiation with the high spectral resolution is emitted after beam split is conducted on the thermal infrared radiation through the monochrometer and is received by the thermal infrared hyperspectral imager, spectrum calibration is conducted through a wavelength scanning method, and spectral response functions of all wave bands are obtained. After wavelength scanning spectrum calibration is conducted on the thermal infrared hyperspectral imager through the globar, a monochrome beam emitted by a wavelength-tunable CO2 infrared laser serves as a light source, a plurality of characteristic wavelengths of the wavelength-tunable CO2 infrared laser are selected by transforming the emitted wavelength of the infrared laser, and absolute calibration is conducted on the thermal infrared hyperspectral imager through a characteristic wavelength spectrum calibration method. By means of the spectrum calibration system suitable for the thermal infrared hyperspectral imager, quick spectrum calibration of the thermal infrared hyperspectral imager with the high spectral resolution is achieved, and the spectrum calibration error value is smaller than 1 nm.

The present invention discloses a LED health lighting evaluation method and an LED health lighting lamp based on a biological effect. The LED health lighting lamp comprises an LED light source, a driving power supply which is connected to the LED light source, a control device (3), an illuminance measurement module corrected by a spectral response function obtained based on physiological parameter change of a human body under an LED light source illuminance condition, a luminous flux measurement instrument formed by a data processing module, and a background brightness measurement module. The LED health lighting evaluation method and the LED health lighting lamp is characterized in that the LED light source with different spectral components is subjected to biological equivalence evaluation, firstly the B / P value of the LED light source with different spectral components are stored in the memory of the luminous flux measurement instrument, a photopic vision illuminance is measured, an equivalent illuminance is the product of a photopic vision illuminance value and the B / P value, and according to the biological lighting effect needs to be realized, the spectral, color temperature and brightness adjustment of the LED light source are carried out through driving the control device so as to satisfy different lighting needs.

The invention discloses a broadband spectral response multiplication type organic photoelectric detector which comprises a substrate, a transparent conducting layer, an anode modifying layer, a photosensitive layer, a hole blocking layer and a cathode layer which are sequentially stacked and arranged, wherein the photosensitive layer is prepared from a mixture containing an organic micromoleculardonor material (BODIPY) and an organic micromolecular acceptor material (PC61BM or PC71BM); the BODIPY is an organic fluorescent dye with a very high molar absorption coefficient and a wide absorptionrange and has obvious photoelectric response at an infrared waveband, so that a broadband spectral response function of a photoelectric detector is achieved, a response degree or an external quantumefficiency for detecting optical signals is remarkably improved, EQE can exceed 100% under the forward bias, and the maximum EQE can reach 350% or more. The device has the advantages of simple structure and manufacturing technology, low cost, application to large-area preparation and great advantage in the field of organic photoelectric detectors.

The invention discloses a multi-spectral spaceborne sensor channel device and method for directly inverting surface temperature. The channel device comprises a total of 5 channels, and the spectral response function of each channel is determined by a piecewise function composed of a Gaussian function and a trigonometric function. The central wavelengths of the five channels included in the sensorare 8.6, 9.0, 10.4, 11.3, and 12.5[mu]m, respectively. Under the premise that the equivalent noise of each channel is less than 0.1K, the width of the five channels included in the sensor is between 0.1 and 0.5[mu]m. According to the multi-spectral spaceborne sensor channel device and method for directly inverting surface temperature, three sets of combinations of two different channel satellite observation brightness temperature can be obtained based on the channel device. One of the channels in each group of satellite observations brightness temperature can be atmospherically corrected by applying the theory of split window algorithm, then the ground observation brightness temperature of three channels can be obtained. The surface temperature information can be directly obtained from themulti-channel satellite observation brightness temperature by applying the temperature / emissivity separation algorithm without relying on prior knowledge.

The invention discloses an urban black and odorous water body grading method based on a decision tree. A black and odorous degree of water bodies is judged by combining an existing urban black and odorous water body pollution degree grading standard. According to an international standard colorimetric card, the water bodies with different colors are associated with black and odorous water body categories. A representative spectrum library with various black and odorous water body types is established according to the comprehensively judged black and odorous degrees and the relationship betweenthe remote sensing reflectivity of the different types of water bodies and the black and odorous degrees. The mean value of the remote sensing reflectance of each black and odorous water body type iscalculated. A GF-2 satellite sensor PMS2 is responded by using a spectral response function to obtain an equivalent reflectance spectral curve of each urban black and odorous water body on the GF-2 satellite sensor PMS2. According to the characteristics of the equivalent reflectivity spectrum curve, water bodies of different black and odorous types are extracted by using a decision tree formed bywaveband combination models such as a black and odorous water body difference index DBWI, a black and odorous water body slope difference index DSBWI, a green light waveband Green and a normalized black and odorous water body index NDBWI.

The invention discloses a day and night separation vicarious calibration method for a high-definition satellite wide-view filed imager. The method comprises steps: (1) remote sensing image data of the high-definition satellite wide-view filed imager in a night ocean scene are read, and offset of dark noise in each wave band is calculated according to the gray value generated by the dark noise of each detection unit; (2) a spectral radiation brightness calculation module at the entrance pupil of the satellite imager is determined; (3) the imager observes a specific field and imaging is carried out, auxiliary data needed by calculation of the model in the second step are synchronously observed on the ground, and the average counting value of each wave band of the specific field is extracted according to the remote sensing image data outputted when the imager observes the specific field; (4) the spectral radiation brightness at the entrance pupil of each wave band of the satellite imager is calculated, and in combination with features of the imager wave band spectral response function, wave band equivalent radiation brightness at the entrance pupil of the imager is calculated; and (5) according to the dark noise offset in the first step, the average counting value of each wave band of the specific field in the third step and the wave band equivalent radiation brightness at the entrance pupil of the imager of the fifth step, the on-orbit absolute radiometric calibration coefficient is calculated.

The invention discloses a method for obtaining a laser atmospheric transmittance by utilizing a solar radiometer. The method comprises the following steps: measuring the total solar radiation transmittance Tsun of a specified wave band and the content PW of atmospheric vertical water vapor columns by utilizing the solar radiometer, performing analog computation on a spectral response function f (Lambda) by combining a radiance transfer equation and MODTRAN 5.0 software, thus finally obtaining the final calculation model of the total laser atmospheric transmittance Tlaser. The method fully considers the difference between a laser narrow spectral transmittance and a sunlight wide spectral transmittance, establishes the relationship of the laser atmospheric transmittance and the Tsun and the PW measured by the solar radiometer, minimizes the measuring error of the transmittance of laser during transmission in atmospheric air, and is suitable for the condition that atmospheric molecular absorption is mainly H2O absorption.

The invention discloses a deep learning satellite data cloud detection method supported by hyperspectral data. The method comprises the following steps: selecting enough cloud and clear sky pixels toconstruct a hyperspectral data sample library, and performing analog computation on the hyperspectral pixel sample library according to parameters such as a spectral response function and a waveband width of a to-be-detected sensor to obtain a cloud and clear sky surface pixel library of the to-be-detected sensor; based on a Keras deep learning framework, designing a deep BP neural network for cloud detection, inputting multispectral sample data obtained through simulation into the network for training and learning, and obtaining a multispectral sensor cloud detection rule based on spectral characteristics; based on a Markov random field model, optimizing a cloud detection result by utilizing an iterative condition mode algorithm, and removing a part of misclassification and misclassification errors of cloud detection. According to the method, various sensor data are selected and compared with a cloud coverage result of artificial visual interpretation for analysis, and the result shows that the algorithm achieves a better cloud detection effect and can meet the requirements of data application for cloud detection.

The invention discloses a method of calculating initial parameter values of an energy spectral response function based on the method of moments estimation. The method solves the problems of blindness in selecting the initial values for a fitting function and incorrect fittings or even potential fitting function divergence and the like in traditional methods. The problem of the selection difficulty of multiple parameter values of the response function of a detector is addressed in the method, based on the method of moments, an equation group is built for the various parameters in the response function, and the solved results for the equations are the initial values of various parameters. The method solves the problems of randomness and chance in traditional methods and improves on the fitting precision and accuracy of the response function; compared with the traditional methods, the method is more accurate and effective for determining the response function of the detector, broadening the spectrum and calculating the peak area, and avoids the fitting failure of the response function caused by the mistake selection of the initial values, in the meantime, the speed and accuracy of analyzing Gamma or Alpha energy spectrum are improved, and the method has great significance for the automatic peak shape function fitting and the resolution of energy spectrum.

The invention relates to a method for establishing an observer cone cell spectral response function. Through selecting display devices with different primary color spectra and five color centers recommended by the CIE, a cross-media color matching experiment is carried out by observer with normal tissue color perception. The CIELAB color difference between a target color and a matched color is calculated. The Monte Carlo method is used for generating weight different physiological and physical parameters. The parameters are combined with the age of the observer and the angle of view to n groups of different individual observer cone cell response functions. The functions are substituted into spectral data of the target color and matched color in the color matching experiment, and CIELAB color difference values of the n groups are calculated. Two groups of the CIELAB color difference values are compared, and the color matching function corresponding to the smaller color difference is used as the color matching function of the observer, and therefore the spectral response function of cone cells of the individual observer with normal color perception is established. Color differentiation difference of the observer is amplified, and quantitative description of metamerism of the observer is facilitated.

A system for approximating flux density of light on a human retina. A housing has an opening allowing light to pass to inside the housing. A baffle coupled to the housing replicates a facial cutoff function response for the light inside the housing. Two detectors are positioned to detect the light inside the housing. One detector produces a photopic spectral response function of the light inside the housing that approximately replicates a spectral response of the foveal cones in the retina. Another detector produces a scotopic spectral response function of the light inside the housing that approximately replicates a spectral response of rods in the retina. A processor coupled to the detectors calculates a mesopic flux density of the light inside the housing based on the photopic and scotopic spectral response functions.

The invention discloses an infrared temperature measurement method, device and equipment, and a storage medium. The method comprises the steps of acquiring a temperature actually tested by an infraredimaging system for a target; according to the environmental variable and a normalized spectral response function of the infrared imaging system, carrying out atmospheric attenuation correction on theacquired temperature to obtain first temperature data; establishing a function relationship between the output energy of the central point of the infrared imaging system and the imaging radius of thetarget, and obtaining a target proportion correction function; and according to the obtained target proportion function and the imaging radius of the target, performing target imaging proportion correction on the first temperature data to obtain second temperature data. By means of the method, the complexity of a traditional single-waveband calibration temperature measurement scheme can be solved, meanwhile, the temperature measurement accuracy of middle and long distance targets is improved, a high-temperature target can be monitored in time, and preventive temperature measurement and inspection functions such as forest fire prevention and fire early warning are achieved.

The invention discloses a surface temperature inversion method for a broadband thermal infrared sensor. The method mainly comprises the following steps: acquiring observation data through a broadbandthermal infrared sensor; dividing a broadband spectral response function into a plurality of narrow channels at a set fixed interval, and then establishing a formula between radiation energy and brightness temperature obtained by the broadband thermal infrared sensor according to the radiation energy obtained by each narrow channel; and finally obtaining the surface temperature through a formula established in the solving step. The inversion method provided by the invention has the beneficial effects that a plurality of equivalent wavelengths in the spectral response range of the sensor are substituted into a radiation transfer equation and a Planck blackbody radiation equation to solve the LST, so that the inversion precision of the LST is improved, and the implementation simplicity of LST inversion is ensured.

The invention discloses a simulation method for remote sensing data under arbitrary spectral response characteristic, and belongs to the technical field of earth observation. In the method, the input hyperspectral data is subjected to iteration decorrelation, and hyperspectral data with improved spectral resolution is acquired; and the hyperspectral data with the improved spectral resolution is sampled according to the spectral response characteristic to be simulated, and hyperspectral or multispectral data under the spectral response characteristic to be simulated is acquired. The simulation method can be used for simulating the hyperspectral or multispectral data with arbitrary central wavelength position, arbitrary spectral resolution or arbitrary shape spectral response function by the existing hyperspectral data, and has higher accuracy of simulating data than the conventional spectral interpolation method and wave-band synthesis method so as to contribute to improving radiometric cross-calibration accuracy and data comparison and verification accuracy of a hyperspectral remote sensor.

A method for estimating an input spectrum from sensor data acquired by an optical sensor assembly, having an aperture, a Fabry-Perot interferometer, and an optical sensor element, the method including: obtaining first calibration data representative of a spectral response function of the optical sensor assembly for a first setting of the aperture; computing second calibration data from the first calibration data, the second calibration data being representative of a spectral response function of the optical sensor assembly for a second setting of the aperture, where the second setting corresponds to a setting applied during the acquiring of the sensor data; and estimating the input spectrum as a function of the second calibration data and the sensor data. Additionally, a corresponding system for estimating an input spectrum.

The invention discloses an imaging spectrometer spectral stray light correction algorithm of known target relative spectral distribution, and belongs to the field of imaging spectrometer detection, aiming at removing the influence on the result from measuring imaging spectrometer by stray light. According to the invention, the algorithm includes the following steps: based on the influence on a to-be-detected imaging spectrometer by spectral stray light, using a monochromator to output a series of uniform lights which successfully enter and fills the field of view of the to-be-detected imagingspectrometer, using an absolute radiometer to record the energy of a series of monochromatic light spectrums, performing calculation to obtain a regression spectral response function of respective pixel of the to-be-detected imaging spectrometer; then calculating the ratio between effective spectral signals and total signals in respective pixel response signal in combination with the target relative spectral distribution, and eventually multiplying the real-measured signal with the proportion of the effective spectral signals so as to obtain an effective spectral signal, thus completing the spectral stray light correction on the to-be-detected imaging spectrometer. According to the invention, the algorithm has the characteristics of high measurement precision, simple computation, easy programming and easy real-time computing.

The invention discloses an instrumental magnitude conversion method for a star sensor based on an infinite-dimension space. The method comprises the following steps: 1) using an infinite-dimensional vector in the infinite-dimensional space to describe a star spectral illuminance function and a band spectral response function; 2) obtaining the functional relation between the infinite-dimensional vector and the magnitude of each band through modeling analysis; 3) selecting the optimal band combination according to the band selection rule and establishing the corresponding redundant equations; 4) and solving the redundant equations by using the optimization algorithm with limited step size and direction and finally obtaining the instrument magnitude. The redundant equations of the multi-band magnitude data are solved to calculate the instrument magnitude so as to effectively reduce conversion error and improve conversion accuracy. As for the band selection rule, the optimal data source band combination can be automatically selected for different instrument bands so as to have good universality to a certain extent and be popularized for the conversion of other instrument stars of different bands.

The invention discloses an in-orbit absolute radiometric calibration method for a micro-nano hyperspectral satellite constellation. Comprising a radiometric calibration model design part scrupulous hyperspectral satellite multi-integral series imaging design, a hyperspectral data integral series normalization processing part, a ground actual measurement data apparent radiance calculation part scrupulous hyperspectral satellite spectral response function and a discrete point least square optimal fitting parameter solving part. The method has the following advantages that a satellite hyperspectral sensor in-orbit radiometric calibration model with different sites and different integral series being scrupulous is constructed, based on a global autonomous radiometric calibration network (RadCalNet), long-time-sequence ground automatic observation data of four calibration fields are utilized, and through time-space element normalization processing, the consistency of long-sequence observation data in time and space dimensions is realized, and the accuracy of the long-sequence observation data in time and space dimensions is improved. Absolute radiometric calibration parameter discrete point solving is carried out based on a radiation transfer model, and finally optimization of a calibration result is achieved through least square fitting.

The invention discloses a spectrum calibration system suitable for a spaceborne wide spectrum band camera. The calibration system is composed of a halogen lamp, a monochromator, a three-hole universalintegrating sphere and a high-precision spectrograph. Light emitted by the halogen lamp is split through the monochromator to form monochromatic light, the monochromatic light enters into the three-hole universal integrating sphere, incident light is reflected by an internal surface of the integrating sphere and then uniform light is emitted out from the other two holes. Radiation brightness of one of light emitting ports is measured through the high-precision spectrograph, and the wide spectrum band camera is used for imaging for the other light emitting port. A spectral response function ofthe wide spectrum band camera is obtained through calculation. The light is split into two uniform paths through the three-hole universal integrating sphere, a radiation brightness spectrum in a widespectrum band can be measured through the high-precision spectrograph, and synchronous imaging with the wide spectrum band camera also can be realized, thus, synchronous measurement for the two pathsis realized, and spectrum calibration efficiency and precision of the wide spectrum band camera are improved.

The present invention is suitable for the technical field of spectrometers, and provides a micro spectrometer and a spectrum detection method. According to embodiments of the present invention, a micro spectrometer composed of an optical filter array, an optical detector and a processor is provided, the optical filter array disposed on a transmission light path of a to-be-measured light beam is used for performing optical filtering on the to-be-measured light beam, to obtain N to-be-measured light sub-beams; the optical detector disposed on an emergent light path of the optical filter array isused for detecting light intensity of the N to-be-measured light sub-beams; and the processor electrically connected to the optical detector is used for obtaining N irrelevant linear system of equations of a spectrum response function according to the light intensity of the N to-be-measured light sub-beams, and obtaining spectrum values of the N to-be-measured light sub-beams according to the N irrelevant linear system of equations, to complete spectrum detection of the to-be-measured light beam. The micro spectrometer is simple in structure, small in volume, and easy to carry.