118 results about "Spectral separation" patented technology

The invention discloses an NO and SO2 mixed gas concentration detection method based on deep learning, and the method comprises the steps: obtaining a to-be-detected NO and SO2 mixed gas, inputting the to-be-detected NO and SO2 mixed gas into a trained mixed gas concentration detection model, and obtaining the concentration detection results of the respective single gases of NO and SO2; according to the model, mixed gas spectrum separation and reconstruction are carried out through a separation and reconstruction model based on a bidirectional long-short-term memory network, so that differential absorption spectrums of two single gases NO and SO2, which are output by the separation and reconstruction model, are obtained at one time; and carrying out feature extraction and concentration prediction on the input sequence data through a concentration detection model based on TCN + RNN network so as to obtain concentration detection results of respective single gases of NO and SO2 as outputs. The method provided by the invention can realize spectral separation of the mixed gas and accurate detection of the concentration of NO and SO2, thereby overcoming the problems of cross sensitivity of SO2 and NO and differential optics of incapability of accurately separating SO2 and NO by a traditional treatment method.

The invention is suitable for the technical field of multi-source data processing, and provides a water body adaptive extraction method based on multi-source remote sensing data fusion, and the method comprises the steps: obtaining multi-source data of a target region, constructing an improved water body index based on optical remote sensing image data, and enhancing the spectral separation degree of a deep water region and a shallow water region; constructing a scattering feature distinguishing rule set based on synthetic aperture radar image data, and separating a water body from typical interference ground features; generating a terrain gradient constraint condition based on the digital elevation model data; generating a fusion data set according to the improved water body index, the scattering feature distinguishing rule set and the terrain gradient constraint condition; dynamically segmenting the fused data set through an adaptive threshold segmentation algorithm to obtain an initial water body extraction result; and performing mixed pixel decomposition and morphological boundary optimization processing on the initial water body extraction result to generate an optimized result, and outputting a water body spatial distribution diagram, thereby effectively improving the water body extraction precision, the adaptability to complex scenes and the anti-interference capability.

The invention discloses a liquid crystal display brightness adjusting system and method based on ambient light perception, and the system comprises a high-precision ambient light sensor which obtains the ambient light illuminance and color temperature data in real time; the analog-to-digital converter is used for converting the analog optical signal into a digital signal; an embedded microcontroller; the temperature sensor is tightly attached to the liquid crystal panel backlight unit; and the control input end of the liquid crystal driving chip is connected with the driving signal output end of the embedded microcontroller through a serial peripheral interface bus. The technical normal form of a liquid crystal display dimming system is fundamentally reconstructed: in a physical layer, photoelectric signals and human eye spectral response offset are corrected through a spectral separation mechanism, a carrier recombination effect is inhibited based on a thermodynamic equation, and the physical authenticity of brightness output is ensured; in a control layer, a motion state compensation model and a spatial topology perception algorithm are constructed, and brightness space-time consistency control in a dynamic scene is realized.

The invention belongs to the technical field of spectrum separation identification and spatial information analysis, and discloses a flame environment-oriented multi-depth spatial spectrum light ray measurement system, which comprises a light ray collection module used for converging dynamic flame radiation light rays; the spectrum separation module is used for spatially separating a plurality of different wavelengths of the flame radiation light converged by the light collection module to form multi-wavelength radiation light with spatially separated wavelengths; the space light splitting module is used for uniformly splitting the multi-wavelength radiation light subjected to wavelength space separation into a plurality of light beams and transmitting the light beams to the multi-spectral imaging unit; the multispectral imaging unit comprises a plurality of imaging modules, and each imaging module is used for receiving radiation information of one light beam and performing imaging; and the light analysis module is used for calculating and obtaining multi-wavelength original radiation information of different depth positions of the flame. According to the invention, multi-wavelength radiation information of different depths in a flame three-dimensional space can be obtained, and a basis is provided for establishing a flame environment temperature field model.

Systems and methods for calibrating an imager for unmixing of images with multiple fluorophores is described. One example method performed by a computing device includes receiving one or more single-color control images, a foreground channel, and a background channel. The single-color control images are images of the sample with a single fluorophore applied to the sample, and the foreground channel and the background channel are associated with the fluorophore. The method includes determining a difference between the foreground channel and the background channel, acquiring a foreground pixel mask from the difference, averaging a set of foreground pixels in the foreground pixel mask to generate a first spectrum, and subtracting an unstained spectrum from the first spectrum to generate a second spectrum. The second spectrum defines a spectral profile of the sample. A calibration slide and a method of preparing a calibration slide are also described.

The invention discloses a programmable hyperspectral laser radar device and a real-time registration method thereof.The programmable hyperspectral laser radar device comprises an optical module and a real-time signal processing module, the real-time signal processing module carries out real-time processing on received laser echo signals, and selects a windowing position and a spectral wavelength width based on converted non-laser echo signals; acquiring a plurality of arbitrary programmable spectrum channels, and reconstructing the acquired image information of the plurality of spectrum channels through a spectrum separation method to obtain different spectrum images corresponding to the target scanning area; and the data integration module is used for real-time registration of the laser point cloud and the hyperspectral image and assigning the three-dimensional coordinate information and the spectral information needing to be reserved to the laser point cloud. According to the technical scheme, a user is supported to define the windowing position and the spectral wavelength width, only the specific wave band is extracted, full-wave band data redundancy is avoided, the processing efficiency can be improved, meanwhile, key spectral features are reserved, and the method is suitable for specific scenes.

A hyperspectral imaging system is characterized by comprising an imaging unit, an optical fiber scanning device, an optical fiber spectrometer, a data processing unit and a control unit, the imaging unit comprises an imaging lens and a micro-lens array, the imaging lens images a target object onto the micro-lens array, the optical fiber scanning device scans an optical signal processed by the imaging unit, and the optical fiber spectrometer performs spectrum separation on light with different wavelengths in the scanned optical signal to form spectrum data; and the data processing unit processes the spectral data and reconstructs a hyperspectral image of the target object by using the spectral data. And only an important area is scanned point by point in an optical fiber scanning mode, and hyperspectral data acquisition of a local interested target is concerned, so that unnecessary overhead of full-frame data acquisition is greatly reduced. For an application scene needing quick or real-time monitoring, the directional scanning mode greatly shortens the required integral acquisition time, and reduces the overall time delay of the system.

The invention discloses a spectral selective greenhouse cooling water-saving film and a preparation method thereof. The film sequentially comprises a polymer thermal radiation material layer, a metal coating and a polymer multilayer optical film from top to bottom. Wherein the polymer thermal radiation material layer on the top layer can dissipate heat in a thermal radiation form; the metal coating on the middle layer is used for reflecting near-infrared light with the wavelength larger than 800 nm; the polymer multilayer optical film on the bottom layer is used for reflecting green light of 500-600 nm. The spectrum separation technology and the radiation refrigeration technology are coupled, the polymer multilayer film and the metal coating are combined, the polymer multilayer film is used for replacing a dielectric layer in traditional coating, the technological process is effectively simplified, the cost is greatly reduced, and the machining speed is increased; in addition, the polymer multilayer film can serve as a protective layer of a metal coating, the oxidation speed of the metal coating is slowed down, and the overall durability of the film material is improved.

The invention discloses a multi-view hyperspectral image processing method capable of being used for ocean target analysis, and belongs to the technical field of hyperspectral image processing. According to the method, the spectral features and the spatial features of the hyperspectral image are extracted at the same time, and multi-dimensional information of data is effectively utilized. According to the method, AAP and SD algorithms are introduced, and dimensionality reduction is carried out on high-dimensional spectral data in a self-adaptive manner according to the characteristics of spectral bands. According to the method, an end-to-end deep learning framework is adopted, and spectral feature extraction, spatial feature fusion, unmixing and data reconstruction are integrated in the same network. The method can perform efficient unmixing and accurate classification on complex spectrum and spatial information in the multi-view hyperspectral image, is especially suitable for the fields of marine environment monitoring, resource exploration, environmental protection and the like, and has important application value in the aspects of spectrum separation and classification of complex oceans.

The invention relates to a natural rubber tree detection device and detection method based on a hyperspectral technology. The device comprises a walking chassis, a mechanical arm, an imaging spectrometer, a visual camera, a portable supporting holder, a laser scanning system, a data acquisition system, a data transmission module, a data processing module and a power supply system. Spectral reflection data of different layers of the bark of the rubber tree are obtained by utilizing an imaging spectrometer, efficient sampling is realized by combining laser scanning, and the data are sent to an analysis terminal through wireless transmission. Through a built-in data processing module, a spectrum separation and feature extraction technology is adopted, and a machine learning model is combined to realize prediction of bark health conditions, tree ages and plant diseases and insect pests. The device has the characteristics of portability, non-destructiveness, high efficiency and intelligence, and is suitable for tree health management and precision agricultural monitoring in natural rubber parks.

According to the multi-mode single-pixel compression imaging system based on the spatial light modulator provided by the embodiment of the invention, a light source supply module in the system can provide a broadband light source, and light emitted by the broadband light source can irradiate a target object and is reflected to a light field modulation module; the light field modulation module performs spectrum separation on the received light signal, and after multiple beams of monochromatic light after separation are incident to the spatial light modulator, the spatial light modulator performs light splitting and parallel modulation; the single-pixel detection module feeds back the collected light intensity data to the data processing module when detecting the modulated light signal; the data processing module issues a mode switching instruction to the spatial light modulator to perform mode switching when determining that the light signal reaches an ideal modulation state, and performs joint optimization modeling and iterative solution calculation based on multi-mode imaging light intensity data to realize synchronous reconstruction of a target object image. The system can realize joint acquisition and fusion reconstruction of multi-modal information.

The invention provides a sterile filling process control method and system for midazolam oral liquid nitrogen charging protection, and relates to the technical field of medicine filling process control. After midazolam oral liquid is subjected to nitrogen charging, a headspace gas multispectral image sequence in a bottle before sealing is collected through a transmission imaging system integrated with a filling line; extracting oxygen characteristic absorption wave band light intensity attenuation data through spectrum separation, and generating a bottleneck plane oxygen two-dimensional concentration diagram; calculating the local oxygen partial pressure of the pixel, and constructing a three-dimensional oxygen concentration field and marking an oxygen-enriched area by combining pre-stored geometric parameters of the bottle body; and then the model reference adaptive controller is used for comparing the model with an ideal nitrogen model to generate supplementary parameters containing purging angle, intensity and time, an execution mechanism is driven to perform fixed-point pulse purging, and after verification reaches the standard, a screw cap is used for sealing, so that accurate detection, directional processing and standard verification of the headspace oxygen-enriched area in the midazolam oral liquid bottle can be realized, and the safety of the midazolam oral liquid bottle is ensured. And the oxygen concentration before sealing meets the standard.

The invention relates to a spectral separation regional adaptive fringe projection three-dimensional measurement method, which comprises the following steps of: projecting transverse and longitudinal sine phase shift fringe patterns to the surfaces of a plurality of measured objects, and acquiring a fringe sequence by using a camera; respectively obtaining an object contour mask and a saturated mask; the coordinates of the white area of the contour mask are converted into the coordinates of a projector, and a projection mask is obtained; obtaining a single object projection mask image by using a connected domain labeling algorithm; setting two groups of mask regions by using the marked regions and the saturated mask to generate a longitudinal sine phase shift fringe pattern with adaptive intensity, sequentially projecting two groups of region fringes to the surface of a measured object, and simultaneously collecting region fringe images of spectrum separation; performing independent phase demodulation and phase fusion on the fringe patterns of different channel colors corresponding to the object, and performing three-dimensional reconstruction according to a fused phase result; according to the method, the measurement efficiency is remarkably improved on the premise of eliminating stripe aliasing interference.

The invention provides an intracranial artery positioning method and device based on transcranial Doppler ultrasound. The method comprises the following steps: extracting all sampling points which contain blood flow signals and have depths within a preset range and position information of each sampling point; extracting a first type of sampling points, a second type of sampling points and a third type of sampling points from all the sampling points; performing frequency spectrum separation on the blood flow signal of each sampling point in the third type of sampling points; determining the trend of a first intracranial artery with a first flow direction and the trend of a second intracranial artery with a first flow direction; a junction location of the first intracranial artery and the second intracranial artery is determined. According to the invention, rapid rough scanning is carried out under the assistance of a mechanical device, spatial position integration of intracranial arteries in different blood flow directions is realized through classification processing of blood flow conditions of all sampling points, trends of different intracranial arteries are obtained, cross points of different intracranial arteries are determined, rapid positioning of the intracranial arteries is realized, and the positioning accuracy of the intracranial arteries is improved. And the inspection efficiency of transcranial Doppler ultrasound is effectively improved.

The invention provides a transparent coating surface detection method based on space-spectrum separation imaging, and the method comprises the steps: setting an imaging system which comprises a wide-spectrum illumination unit, a light path separation unit, a space position information obtaining unit and a spectrum information obtaining unit, and the spectrum information obtaining unit comprises a dispersion subunit; the light path separation unit divides light reflected after the wide-spectrum illumination unit irradiates the surface of an object into two paths and then sends the two paths of light to the spatial position information acquisition unit and the spectral information acquisition unit which are jointly calibrated; the spatial position information acquisition unit and the spectral information acquisition unit perform data acquisition on a to-be-measured object; the two types of data acquired by the spatial position information acquisition unit and the spectral information acquisition unit are accurately calibrated; and extracting space image features, feature wavebands and spectral curve features from the two types of data after accurate calibration, fusing the features, and detecting the surface of the transparent coating by adopting a teacher-student neural network.

The invention discloses a coast slope deformation cooperative monitoring method based on dual wavelengths and a fiber grating network, and belongs to the technical field of geotechnical engineering safety monitoring, and the method comprises the steps: carrying out the sensor deployment of a top edge layer, a bevel edge layer and a bottom edge layer of a coast slope according to a network topology structure; working wavelengths of a top edge layer sensor and a bevel edge layer sensor are distributed, spectral separation of environmental interference and deformation signals is achieved, then parameters are dynamically calibrated, signals are collected to extract strain, interference of tidal action is removed through hydrostatic pressure compensation and wave filtering, and signal accuracy is ensured; annual scale monitoring accumulated displacement correction and sensor service life prediction are carried out on the top edge layer sensor and the bottom edge layer sensor. According to the invention, the space cooperation of the three-layer network and the fusion of the dual-wavelength signals are realized, the slope deformation is dynamically corrected and accurately monitored through multi-layer cooperation, the high-precision and anti-interference monitoring of the coast slope deformation is finally realized, and the safety of the coast slope is guaranteed.

A spectral splitting device (1) for a solar concentrator system, the spectral splitting device (1) configured to receive light from a primary optical element of the solar concentrator system, and the spectral splitting device (1) comprising a tapered body (11) comprising a through channel (12).

A detection arrangement for an optical scanning microscope includes a beam splitting element configured to receive reversely scanned detection light, split the detection light into two portions, direct a first portion of the detection light into a first light path and direct a second portion of the detection light into a second light path. The first and second optical paths each include a dispersive element configured to spectrally separate the detection light in a spectrally separating direction and an array detector for receiving the spectrally separated detection light. A beam splitting element, first and second dispersive elements are configured such that a first reference direction corresponding to a first spectral separation direction in which reverse imaging is performed via a first optical path toward a plane arranged before a beam splitting element and a second spectral separation direction in which reverse imaging is performed via a second optical path toward a plane arranged before a beam splitting element correspond The two reference directions are different from each other.

The invention provides a tissue blood oxygen saturation measuring system and method for multispectral Cherenkov imaging, and relates to the technical field of Cherenkov imaging. The system comprises a single-pixel modulation imaging device, and the single-pixel modulation imaging device comprises a digital micromirror device which modulates Cherenkov light according to a plurality of different sampling templates; the circular-to-rectangular optical fiber is used for converting a light spot of the modulated composite light beam of each sampling template into a rectangle; the spectrograph comprises a slit for receiving the composite light beam of the rectangular light spot of each sampling template to form a linear light source of each sampling template; the blazed grating is used for carrying out spectrum separation on the line light source of each sampling template; the linear array photomultiplier is used for carrying out light intensity detection on the light beams subjected to spectrum separation to obtain multi-channel light intensity signals; and the processing unit is used for obtaining the oxyhemoglobin saturation of the to-be-detected tissue based on the light intensity data of each sampling template under the plurality of channels.

The present invention discloses a photoelectric gas monitoring device and method, which relates to the field of photoelectric detection technology, including ionizing a pre-treated target gas through a Tesla coil to generate a light signal; optically detecting the light signal through spectral separation and light signal detection; nonlinearly enhancing the light signal through a nonlinear optical effect and converting it into an electrical signal; calculating the actual concentration of the gas based on the electrical signal and generating a detection report. By performing ionization and nonlinear optical effect enhancement through a Tesla coil, a highly sensitive and highly adaptable photoelectric gas monitoring method is achieved. Among them, the Tesla coil ionization step solves the problems of insufficient light signal intensity and poor multi-gas adaptability, while the nonlinear optical effect enhancement step significantly improves detection sensitivity and signal quality. The present invention can achieve efficient monitoring of trace gases in complex environments, providing a new technical means for environmental protection, industrial safety and medical diagnosis.

The invention discloses a satellite backbone network edge node all-optical data distribution method and system. The system comprises a pumping unit, a data processing unit, a high-nonlinearity medium module, a coupler and a demultiplexer. The backbone laser link is injected into the data processing unit; a first input port and a second input port of the coupler are respectively connected with the pumping unit and the data processing unit; signal light generated by the data processing unit and pump light generated by the pump unit are transmitted to the high-nonlinearity medium module through the coupler, the optical nonlinear four-wave mixing effect is excited, idler frequency light is generated, the obtained idler frequency light has the characteristic of spectrum separation, and then all-optical data distribution processing is achieved through filtering of the demultiplexer. According to the method and the system, the satellite network node data processing performance can be greatly improved, satellite resources are saved, and the problems of data parallel and real-time distribution processing of the high-speed backbone laser link at the edge node of the satellite backbone network are effectively solved.

To provide a spectroscopic analyzer capable of improving light utilization efficiency (S / N) of a light source with a relatively simple configuration.SOLUTION: A light source that emits light, a collection-optical-system unit that collects the light from the light source, a first slit that extracts light of a predetermined region from the light collected by the collection-optical-system unit, an excitation-side diffraction element that disperses the light from the collection-optical-system unit, a second slit that extracts monochromatic light of a predetermined wavelength from the light dispersed by the excitation-side diffraction element, and a detector that detects light from a sample irradiated with the monochromatic light, the collection-optical-system unit is disposed between the light source and the excitation-side diffraction element, and includes a mirror having a reflection surface of a non-axisymmetric free-form surface shape.SELECTED DRAWING: Figure 3C

The invention discloses a dual-response near-infrared fluorescent probe as well as a preparation method and application thereof, and relates to the field of detection. The method eliminates pretreatment requirements by utilizing spectral separation between the probe absorption / emission band and the background absorption / emission spectrum of the edible oil. By directly mixing the probe with an oil sample, quantitative detection of frying time and edible oil adulteration rate can be realized. The probe is short in detection time (incubation for 10 minutes) and high in sensitivity (the detection limit is as low as 0.45%), and has been successfully applied to analysis of various edible oils. In addition, through model construction and experimental verification, contribution of viscosity and pH value changes to probe signal response is clarified. The probe has the advantages of high sensitivity, short response time and no need of sample pretreatment, so that the CO660 becomes a new tool for evaluating the quality of the frying oil in real time, and is expected to meet the key requirements of food safety supervision and industrial quality control.

To provide a detection device for an optical scanning microscope.SOLUTION: A detection device includes a beam splitting element configured to receive descanned detection light, split the detection light into two portions, direct a first portion of the detection light into a first beam path, and direct a second portion of the detection light into a second beam path. The first beam path and the second beam path include, respectively, a dispersive element configured to spectrally separate the detection light along a spectral separation direction and an array detector configured to receive the spectrally separated detection light. The beam splitting element, a first dispersive element, and a second dispersive element are configured such that a first reference direction corresponding to a first spectral separation direction imaged back to a plane arranged before the beam splitting element via the first beam path and a second reference direction corresponding to a second spectral separation direction imaged back to the plane arranged before the beam splitting element via the second beam path are different from each other.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a multilayer structured light microscopic imaging method, system and device, and the system comprises an illumination part which is configured to generate multiple beams of illumination light, adjust the multiple beams of illumination light to generate a structured light illumination mode, and change the axial phase of the structured light illumination mode; and the acquisition part is configured to carry out image separation and acquisition on the fluorescence emitted by the sample to obtain multi-layer image data of the sample. The method comprises the following steps: registering multi-layer image data of each image data set to obtain three-dimensional image data corresponding to each image data set; performing frequency spectrum separation on the plurality of three-dimensional image data corresponding to the plurality of image data sets corresponding to each direction to obtain a plurality of frequency spectrum components; based on the estimation parameters, performing frequency shift on the plurality of frequency spectrum components corresponding to each direction to obtain a plurality of frequency-shifted images corresponding to each direction; and performing Wiener filtering on the plurality of frequency-shifted images corresponding to the plurality of directions of the structured light to obtain a super-resolution image of the sample.

The application discloses a distortion overlapping spectrum separation method and a related device, relates to the technical field of spectrum separation, and can be applied to fiber sensing spectrum, Raman spectrum and X-ray diffraction spectrum. The method comprises the following steps: obtaining and preprocessing distortion overlapping spectrum data through simulation, constructing a training data set through data enhancement and splitting simulation, extracting features and calculating a contrast learning loss by using a double-encoder network, reconstructing spectrum components by using a double-decoder network and calculating a reconstruction loss, training a model by combining the contrast learning loss and the reconstruction loss, fine-tuning a target model through actual measurement data, and finally performing spectrum separation by using the target model and outputting physical parameters. The method does not require a large amount of manually labeled data, can improve the processing capacity for spectrum distortion and overlapping through self-supervised contrast learning and physical constraints, can enhance the adaptability to complex environments, can greatly reduce strain measurement errors, can effectively solve the demodulation problem of spectrum distortion and overlapping, and can meet the high-precision requirement of precise structure health monitoring.

Mid-infrared spectroscopic analysis of tissue specimens can include training a learning model and using the trained learning model to classify tissue into at least two (or more than two) categories such as a tumor category, a non-tumor category, and a histology category. Resulting richer diagnostic indication can be provided and can optionally be mapped to a schema for RGB or other display. Efficient and accurate classification can employ an efficient linear SVM model representation. The model representation can include a β spectrum including the fuller wavelength set, a central tendency indicator (μ) of the training set, a spread indicator (σ) of the training set, and a scaling factor. Various types of illuminators and response detectors can include one or more Quantum Cascade Lasers, broadband light source configured to permit spectral separation, a thermal or other imaging array, among others.

Provided is a method for evaluating a DLC film in which: the Raman spectrum of a DLC film is separated into five bands including an N-band, a D-band, a G−-band, a G+ band, and a D' band by curve fitting using a pseudo-forked function of a formula; and characteristics of the DLC film are evaluated on the basis of at least one of the peak position, the area, and the intensity of each of the separated bands.

Disclosed herein include embodiments of a system, a device, and a method for sorting a plurality cells of a sample. A plurality of raw images comprising pixels of complex values in a frequency space can be generated from a plurality of channels of fluorescence intensity data of fluorescence emissions of fluorophores, the fluorescence emissions being elicited by fluorescence imaging using radiofrequency-multiplexed excitation in a temporal space. Spectral unmixing can be performed on the raw images prior to a sorting decision being made.