80 results about "Spectral separation" patented technology

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 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.

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 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 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

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 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.

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.

This spectrometer comprises a light detection element having a light passage part, and a spectroscopic part. The light detection element has: a first light detection part that includes a plurality of first pixels and detects diffracted light dispersed by the spectroscopic part; and a second light detection part that includes a plurality of second pixels and detects zero-order light. When viewed from a first direction, the light passage part is disposed between the first light detection part and the second light detection part in a second direction. The spectroscopic part disperses and reflects measurement light so that the half-value width of the zero-order light in the second light detection part is larger than the half-value width of the diffracted light in the first light detection part for diffracted light and zero-order light having the same wavelength.

The present invention discloses a programmable hyperspectral laser radar device and a real-time registration method thereof. The programmable hyperspectral laser radar device includes: an optical module, a real-time signal processing module, which processes the received laser echo signal in real time, obtains a number of arbitrarily programmable spectral channels based on the window position and spectral wavelength width selected based on the converted non-laser echo signal, and then reconstructs the image information of the obtained several spectral channels through a spectral separation method to obtain different spectral images corresponding to the target scanning area; a data integration module, which is used for real-time registration of the laser point cloud and the hyperspectral image, and assigns three-dimensional coordinate information and spectral information to be retained to the laser point cloud. In the above technical solution, it supports user-defined window position and spectral wavelength width, extracts only specific bands, avoids full-band data redundancy, improves processing efficiency, and retains key spectral features, making it suitable for specific scenarios.

The application provides a mid-infrared sensor for oil quality monitoring, comprising a light source module, a detector module, an oil sample pool, a signal processing module, a multi-band spectral analysis module and a light intensity regulator. The multi-band spectral analysis module comprises a filter wheel, a driving motor and a plurality of narrow-band optical filters. The filter wheel is in the shape of a disc, and a plurality of mounting holes are arranged on the circumference of the disc. One narrow-band optical filter is arranged in each mounting hole. Each narrow-band optical filter corresponds to the characteristic absorption wavelength of a specific component in the oil. The driving motor drives the filter wheel to rotate, so that the plurality of narrow-band optical filters enter the light path in turn. The light intensity regulator comprises a variable diaphragm and a stepping motor. The light intensity of the detection signal is optimized by adjusting the position of the light transmission hole with different apertures. The application effectively solves the problems of spectral overlap and signal masking in the conventional technology by means of time-divided spectral separation detection, and improves the accuracy of the detection of the content of each component in the oil.

The present invention relates to a dichroic filter that reflects visible light to shortwave infrared and transmits a broad spectrum of infrared light, and its manufacturing method. The dichroic filter uses a flat germanium substrate and a dichroic film system similar to a longwavepass filter. Germanium, zinc sulfide, and fluoride are used as the high and low refractive index materials for different reflective film stacks. A dichroic film is designed on the front surface of the substrate, combining different reflective film stacks to achieve broadband high reflectivity. An optimized matching layer reduces transmission passband ripple. A broad spectrum antireflection film is designed on the back surface of the substrate to achieve high transmittance in the transmission channel while minimizing residual reflection and eliminating stray light. During the preparation process, the dichroic filter utilizes appropriate deposition rates, substrate temperatures, and ion-assisted deposition of localized film layers to reduce thin film absorption and improve the environmental reliability of the filter. Measured reflectivity and transmittance curves show that the filter has high reflectivity in the 0.4-1.7 μm band and high transmission in the 2.1-2.4 μm shortwave infrared band and the 3.5-14 μm mid- and longwave infrared bands. It is suitable for spectral separation in visible-to-infrared multi-channel remote sensing systems.

The application relates to the technical field of detection of electrified railway contact network systems, and discloses a contact network system fluorescent fingerprint intelligent analysis system, which comprises a visual unit, an emitting unit, a deflection unit, a receiving unit, a detection unit and a main control unit. The visual unit calculates relative motion parameters of insulators, drives the deflection unit to perform reverse compensation motion, so that a laser landing point remains stationary relative to a target surface within an integration time. The detection unit respectively collects parallel and vertical polarization components of Rayleigh scattering light and Stokes luminescence after spectral separation. The main control unit calculates a surface roughness factor by using the Rayleigh scattering component, carries out numerical correction on a polarization anisotropy parameter of the Stokes luminescence, eliminates the influence of geometric depolarization, and extracts fluorescent lifetime and rotation-related time characteristics. The application solves the fluorescent detection distortion problem caused by rough surfaces in a dynamic environment, and realizes multi-dimensional diagnosis of the contamination type and the substrate aging degree of the insulator surface.

The application discloses a deep cycle hyperspectral image processing method for marine subpixel target recognition. The hyperspectral image processing method provided by the application is based on simultaneous feature extraction of high and low resolution feature spaces, combines multi-channel segmentation adaptive weighting and channel modulation spectral information processing technology, utilizes a network combining spatial spectrum to perform parallel unmixing on two types of information, and significantly improves unmixing precision in a complex scene. The application can efficiently unmix and accurately classify complex spectral and spatial information in a hyperspectral image, has strong robustness and adaptability, is particularly suitable for marine environment monitoring, resource exploration and environmental protection and the like, can overcome the deficiency of traditional methods in high-dimensional features and generality in complex landform spectral separation and classification, and has important application value.

An imaging system (10) for creating a color image from a plurality of acquisitions includes a first optical path (60) having a first field of view. The first light path (60) has an input coupling element ICE (20) and an output coupling element OCE (40), the input coupling element ICE (20) being designed to at least partially deflect light incident on the input coupling element ICE (20) from the first field of view to the output coupling element OCE (40). Furthermore, the outcoupling element OCE (40) is designed to at least partially outcouple the deflected light, and the incoupling element ICE (20) and / or the outcoupling element OCE (40) are / is designed to at least partially spectrally separate the light from the first field of view. The imaging system (10) further includes a second optical path (70) having a second field of view and including an entrance opening.

A hybrid EMD algorithm based on parameter optimization is presented. This algorithm, belonging to the field of digital signal processing, is a gyroscope temperature drift compensation algorithm based on parametric quadratic B-splines and EMD decomposition. Its key feature is the use of EMD decomposition and mutual information algorithms for initial denoising of the gyroscope temperature drift signal. Then, parametric quadratic B-spline basis functions are used to perform fine denoising and fitting on the initially denoised signal. Finally, the final parameter values ​​of the quadratic B-splines are determined by analyzing the spectral separation between the noise and the fitted signal, thus obtaining the final fitted signal and performing compensation. Addressing the shortcomings of traditional temperature drift fitting methods that lack denoising and cannot adjust the denoising effect, this invention introduces parametric quadratic B-spline basis functions, combined with EMD decomposition, mutual information denoising, and spectral separation estimation algorithms, to more accurately denoise and fit the temperature drift signal, thereby improving the accuracy and effectiveness of gyroscope temperature compensation.

The invention discloses a spectral feature extraction method for synchronous detection of CO and VOCs in a middle-infrared band, and relates to the technical field of spectral feature extraction, and the method comprises the following steps: configuring a reference sample gas, and collecting spectral data of the reference sample gas at different temperatures to obtain reference spectral sequence data; carrying out absorption feature extraction processing and spectral feature extraction processing to obtain absorption feature data and spectral feature data; based on a support vector machine model, utilizing the absorption characteristic data and the spectral characteristic data to construct a gas category identification model; acquiring gas category composition of the detected gas based on a gas category identification model, and performing spectrum separation treatment; the method is used for solving the problem that when CO and VOCs are synchronously detected based on gas molecule characteristic absorption peaks in an existing spectral characteristic extraction technology, gas components cannot be accurately obtained according to change characteristics of the gas molecule characteristic absorption peaks, and then overlapped absorption peaks cannot be directly distinguished.

The present invention provides a dual-channel fluorescent probe, a preparation method and application thereof, and relates to the field of chemical analysis and detection technology. The preparation method of the dual-channel fluorescent probe of the present invention comprises the following steps: compound 1, methylene blue chloride, a base and an organic solvent are mixed and reacted to obtain a novel dual-channel fluorescent probe for accurate detection of HClO. The probe has the function of detecting HClO in two spectral channels (blue and red). The two channels have high spectral separation and can respond to HClO independently, thereby significantly reducing background noise interference in the actual detection process. In addition, the fluorescent probe exhibits excellent selectivity, fast response time and low cytotoxicity, which make it an ideal tool for detecting the concentration of HClO in living cells.

A metasurface module and an optical device are provided, the metasurface module includes a DBR layer and a metasurface layer arranged on the DBR layer, the DBR layer includes at least one DBR, the metasurface layer includes a plurality of nanostructures arranged on the DBR layer, the plurality of nanostructures arranged in a predetermined configuration, the plurality of nanostructures configured to change a light modulation of lights emitted from a light source and separate a spectral of the light to a plurality of specific bands.

This invention relates to a hyperspectral microscopic imaging system, comprising a front imaging module and a hyperspectral back imaging module; the front imaging module is used to collect sample light signals and image a front image beam; the hyperspectral back imaging module is used to disperse the front image beam along the dispersion direction to obtain a spatial spectral image; it includes: a magnifying lens group, a segmentation component, and a dispersive lens group; the front image beam is magnified into a magnified image in the dispersion direction by the magnifying lens group, and the segmentation component is disposed on the image plane of the magnified image; the segmentation component consists of multiple microlens groups arranged side by side along the dispersion direction covering the range of the magnified image; the dispersive lens group includes a collimating lens and a converging lens with the same focal length, the collimating lens and the converging lens forming a relay lens group, and a dispersive prism is disposed between them along the dispersion direction. The hyperspectral microscopic imaging system provided by this invention magnifies the multispectral superposition spatial image obtained by the front imaging module through a magnifying lens group, and then divides and converges it into discrete sub-images through a segmentation component, creating camera detection resources for recording spectral information. The dissociated spectral information is integrated into the spatial information and recorded by the camera to obtain a spatial-spectral image without superposition crosstalk. While achieving spatial-spectral separation, it reduces the distortion of spatial information.

Provided are an image data processing device and an image data processing method that can generate a high-quality image. An image data processing device for processing first image data obtained by imaging light of a subject, which has been spectrally separated into a plurality of wavelengths through a band-pass filter, with an image sensor includes a processor. The processor is configured to acquire the first image data, to calculate a feature amount in a transmission wavelength range of the band-pass filter on the basis of the first image data, and to calculate information of spectral characteristics of the subject on the basis of the feature amount.