25 results about "High resolution spectra" patented technology

The invention discloses a calibration device with a spectrum self-calibration function and a high-resolution spectrum calibration method thereof. The device comprises a narrow-band light source, a broadband light source, an optical fiber isolator, a coupler, an interference system, a multi-way switch, an FP (Fabry-Perot) cavity, a collimator, an orthogonal dispersion system and a computer, wherein the orthogonal dispersion system consists of a cylindrical lens, a reflector, a virtual phase array, a grating, a focusing lens and an industrial camera; according to the device, different light source paths are gated, FP cavity modulation and orthogonal dispersion system light splitting are utilized, and an industrial camera is combined to receive light signals. According to the method, the mapping relation between pixels and wavelengths can be established, the two-dimensional spectrum is compressed into the one-dimensional calibration spectrum through light intensity modulation and normalization processing, the calibration process of the orthogonal dispersion system is simplified, and the measurement precision is improved; and system drift can be compensated in real time through self-checking calibration, and the reliability of a measurement result is ensured, so that accurate calibration and measurement of a high-resolution spectrum can be realized.

The invention discloses a one-dimensional ultra-wide field-of-view ultra-high spectral resolution dispersion coherent imaging spectrometer, which belongs to the technical field of spectral imaging, and comprises a first microlens array used for obtaining incident light of a one-dimensional ultra-wide field-of-view in a horizontal plane; the plurality of optical fibers are used for transmitting incident light of a one-dimensional ultra-wide field of view; the second micro lens array is used for collimating incident light from each optical fiber into broadband parallel light beams; the grating beam splitter interferometer is used for dispersing the broadband parallel light beams into a plurality of narrow-band parallel light beams with different propagation directions; the cylindrical lens is used for converging the two paths of coherent light of each narrow-band parallel light beam to a target block of the detector, and converging the narrow-band parallel light beams with different propagation directions to different target blocks respectively; and the detector is used for obtaining a continuous broadband ultra-high resolution spectrum according to the two paths of coherent light received by each target block. According to the invention, a one-dimensional ultra-wide field of view is obtained in a horizontal plane, and ultra-high spectral resolution can be obtained.

The invention discloses a temperature-pressure-resistant vibration methane carbon isotope detection system for oil and gas logging, which belongs to the technical field of oil and gas logging and comprises a gas sample pretreatment module, an optical sensing module, a driving and temperature control module and a core control and algorithm module. The core control module is realized by an FPGA (Field Programmable Gate Array) and is integrated with a self-adaptive multi-resolution scanning and compressed sensing reconstruction algorithm. The method comprises the following steps: performing current segmented scanning and wavelength modulation on the laser; light path anti-vibration coupling is realized through closed-loop control of the MEMS galvanometer; acquiring sparse sampling spectrum data; reconstructing a high-resolution spectrum by using compressed sensing; and inversing CH4 and CH4 concentrations by adopting Voigt linear fitting, and calculating a delta C value. The precision, the speed and the long-term stability of methane carbon isotope detection in a logging site temperature-pressure vibration coupling disturbance environment are remarkably improved.

The invention discloses a spectrum super-resolution method and system based on an FP cavity and deep learning, and the method comprises the steps: S1, carrying out the initialization of spectrum collection, and selecting light with a specific wavelength after the light is acted with a target detection object; s2, performing photoelectric conversion and digitization to generate low-resolution original discrete spectrum data of corresponding wavelengths; s3, continuous spectrum scanning is carried out, and original discrete spectrum data collection of the whole target wave band is completed; and S4, performing super-resolution spectrum reconstruction, and judging whether cyclic reconstruction is performed or not based on a reconstruction data quality evaluation result until the quality is qualified. According to the method, an accurate mapping model from a low-resolution spectrum to a high-resolution spectrum is established through a pre-trained deep neural network, and an original spectrum which is collected by an FP cavity and is limited by the theoretical limit optical resolution of the FP cavity can be reconstructed into a super-resolution spectrum of which the resolution remarkably exceeds the theoretical limit. The problem that the resolution of an FP cavity in a long-wave region is sharply reduced is effectively solved, and the full-wave-band uniform high resolution is realized.

A method for detecting structural variations in chromosomes by labeling single-stranded chromatids with different colored probes is disclosed. The hybridization patterns of the labeled probes generate spectral profiles that enable high-resolution detection of structural variations, facilitating the distinction between benign and deleterious structural variations. Furthermore, the spectral profiles provide information about complex structural variations that may result from more than one rearrangement of chromosomal segments. The spectral profiles can be used to generate data tables, which can then be subjected to node analysis to identify structural features of interest.

An anti-interference image reconstruction method, apparatus, medium, and electronic device are disclosed, relating to the fields of optoelectronic imaging and target detection technology; achieving anti-fish scale light and anti-backlight imaging under complex lighting environments. The anti-interference image reconstruction method includes: acquiring the infrared radiation light field of the target scene through an infrared optical lens; filtering interference light from the infrared radiation light field using a metasurface modulation module; acquiring multi-dimensional light field information after passing through the metasurface modulation module using an infrared imaging detector; the metasurface modulation module employs GSST phase change material, controlling the infrared spectral band and polarization state through switching between crystalline and amorphous states; and reconstructing the acquired multi-dimensional light field information using a multi-dimensional light field reconstruction module to obtain a high-resolution spectral image.

The invention discloses a 250-1700 nanometer six-wave-band switchable high-resolution thin-plate spectrometer, and belongs to the technical field of spectral measurement, the 250-1700 nanometer six-wave-band switchable high-resolution thin-plate spectrometer comprises a plurality of measurement assemblies which are sequentially arranged in the x direction, each measurement assembly comprises a micro lens, an optical filter, a plane transmission grating and a detector, the micro lens collimates incident light into parallel light beams, and the parallel light beams are transmitted to the optical filter; the optical filter transmits light beams in a specific wave band range in the parallel light beams; the plane transmission grating diffracts the filtered parallel light beams to generate primary diffraction light beams; a pixel array of the detector is divided into a plurality of blocks arranged in the y direction, and high-resolution spectral information, collected by the micro lens, of a detected object in a specific wave band is obtained in real time according to target blocks irradiated by first-order diffraction light beams with different wavelengths in the specific wave band. According to the spectrograph, the combination of all the measuring components can cover the ultra-wide wave band of 250-1700 nanometers, and switchable independent measurement or simultaneous measurement of multiple wave bands is supported.

This invention discloses an endocrine rhythm-driven PPO full-spectrum intelligent dimming system, comprising a multi-dimensional data perception layer, an edge computing and core decision-making layer, and a light control execution layer. The multi-dimensional data perception layer includes a front-end high-resolution spectral sensing sensor module and a wearable device interface module; the edge computing and core decision-making layer includes a standardized feature dataset architecture unit, an endocrine multi-axis coupling prediction unit, and an AI decision model; the light control execution layer includes a five-channel visible light driving controller and a full-spectrum LED light-emitting module. This invention can offset rhythm deviations caused by environmental interference light sources in practical application scenarios, ensuring that the composite light entering the eye always conforms to the preset physiological regulation target, achieving the purpose of precise dimming, and can provide deep-level photoneurophysiological gains, synergistically improving the user's sleep quality and wakefulness.

The application provides an external cavity tuning semiconductor laser and a uniform wave number synchronous output method thereof, rapid and accurate modulation of the angle of a feedback light beam is realized through rapid deflection of an optical galvanometer, and the method specifically comprises the following steps: synchronously collecting the deflection angle of the optical galvanometer and the instantaneous output spectrum, accurately calculating the center wavelength of each sampling point by using a Gaussian fitting method, converting the center wavelength to the wave number domain for uniform processing, and obtaining the optimized driving curve of the deflection angle of the optical galvanometer changing with time through reverse calculation, so that the laser is finally synchronously and rapidly output according to the uniform wave number; the application can effectively overcome the deficiencies of traditional motor driving or piezoelectric ceramics in terms of precision, tuning speed and scanning stroke, significantly reduce the hardware cost of the core component, and has a wide application in the scenes of coherent tomography, high-resolution spectral analysis and precise laser radar.

The application discloses a kind of dual-channel hyperspectral imaging device and method based on Sagnac interferometer.The incident light from target collimates after passing through pre-imaging objective, diaphragm and collimating objective, and is incident to Wollaston prism again after passing through polarizer, and Wollaston prism shears incident light into different direction o light and e light, and after passing through Sagnac waveband division shear structure, different waveband o light and e light produce different lateral shear amount, and are emitted along different directions, pass through polaroid array and filter array, and finally form spatially separated two different waveband interference images on area array detector by post-imaging objective.The application can obtain two groups of interference images under different wavebands by once push scanning, and realizes high-resolution spectral imaging under wide waveband range.

Methods and systems for using multiple hyperspectral cameras sensitive to different wavelengths to predict characteristics of objects for further processing, including recycling, are described. The multiple hyperspectral images can be used to predict higher resolution spectra by using a trained machine learning model. The higher resolution spectra may be more easily analyzed to sort plastics into a recyclability category. The hyperspectral images may also be used to identify and analyze dark or black plastics, which are challenging for SWIR, MWIR, and other wavelengths. The machine learning model may also predict the base polymers and contaminants of plastic objects for recycling. The hyperspectral images may be used to predict recyclability and other characteristics using a trained machine learning model.

The embodiment of the application provides a kind of millimeter wave and sub-terahertz signal spectrum identification method and system based on coherent detection, belong to signal spectrum analysis, technical field.The method comprises: receiving the signal to be measured and modulating with optical carrier, obtain modulated optical signal;The modulated optical signal and the swept local oscillator light are coherently beat, and the beat electric signal is obtained;The voltage time sequence of the beat electric signal is acquired, and the reconstructed spectrum is obtained after bandpass filtering and root mean square envelope extraction;According to the reconstructed spectrum, the signal frequency is calculated by carrier positioning and Lorentz fitting;According to the reconstructed spectrum, the signal amplitude is predicted based on the pre-trained machine learning inversion model.The application can be reconstructed based on the characteristics of high-resolution spectrum of coherent detection, convert millimeter wave / sub-terahertz electromagnetic signal into spectral information that can be analyzed by low-bandwidth electric detection and digital signal processing system, realize single frequency identification, multiple amplitude inversion.

The invention provides a marine steel laser-arc hybrid welding arc spectral feature extraction method which comprises the following steps: step 1, laser-arc hybrid welding spectral signal acquisition: a high-resolution spectrometer is matched with double optical fiber probes to synchronously acquire signals of corresponding channels, and cross interference of different wavebands is eliminated through grating light splitting; step 2, noise reduction processing of the spectral signal: adopting a multiplicative scatter correction (MSC) algorithm to carry out noise reduction processing; step 3, spectral signal feature extraction: extracting electron density and electron temperature features respectively; according to the marine steel laser arc hybrid welding arc spectral feature extraction method, the arrangement of the extraction method can be optimized, and the reliability and accuracy of spectral feature extraction are enhanced.

The invention concerns an apparatus for scanning the optical properties of materials using a stationary sample stage and a dual-axis rotational system. The apparatus includes motors for azimuthal and polar rotation, supporting an optical system with adjustable lenses and filters to collect data from multiple angles. This design is particularly advantageous for photo-excited materials using linearly polarized sources, as it maintains static pump polarization, eliminating the need for additional motors or optical elements to align the pump with the sample's rotation. This avoids complications with halfwave plates and broadband retarders, which may not preserve linear polarization across all wavelengths. The modular system accommodates various detectors, ensuring versatility while enabling precise, high-resolution spectral imaging. The stationary sample stage prevents alignment issues and distortion, providing consistent and accurate measurements of materials' optical properties across a range of experimental setups.

The application discloses an application of a multi-modal sensing recognition method in coal gangue separation and relates to the technical field of intelligent vision, which comprises the following steps: collecting a multispectral image, a high-speed image and a visible light image of a target scene, completing time sequence alignment in the same field of view, and obtaining an original multi-modal sensing set; sending the original multi-modal sensing set into an encoding sensing imaging link, performing spatial encoding, aperture division, light collection and gating time sequence arrangement, and obtaining an encoding observation data packet and a spectral image cube; and performing image sparse representation, image prior modeling and calculation reconstruction on the encoding observation data packet and the spectral image cube, and obtaining a high-resolution spectral image, a clear texture image and a motion frame sequence; through the image sparse representation, the image prior modeling and the calculation reconstruction, the application improves the distinguishable ability of a target region in a spectral band detail, an outline boundary and a continuous motion trajectory.

The application discloses a high-resolution spectrometer optical system for Raman spectrum detection, and solves the problems of high cost, complex structure and low utilization rate of image enhancement target surface of an existing spectrometer optical system, and specifically comprises a slit, a collimating mirror group, a spectroscope group, a focusing mirror group and an image sensor which are sequentially arranged along an outgoing direction of the slit on a light path of to-be-detected light; the slit is used for receiving the to-be-detected light and limiting the spot size of the to-be-detected light in a spectral dimension; the collimating mirror group is used for collimating the to-be-detected light passing through the slit into parallel light; the spectroscope group is used for dispersing the collimated parallel light according to wavelengths; the focusing mirror group is used for focusing the dispersed to-be-detected light to the image sensor; a target surface of the image sensor is located at a focal point of the focusing mirror group to receive the focused to-be-detected light; a distance TTL from the slit to the target surface of the image sensor satisfies 0.3<=f / TTL<=0.6, wherein f is a focal length of the focusing mirror group.

This invention discloses a super-resolution mosaic spectral image re-optimization method based on explicit observation consistency constraints. It primarily addresses the technical problem that existing mosaic spectral image reconstruction and super-resolution processing methods mainly focus on spectral image domain optimization, lacking explicit observation consistency constraints to ensure that the reconstructed result can return to the original observation after the mosaic imaging process. This invention uses the original mosaic image as a basis, obtains the current high-resolution spectral image from it, maps the current high-resolution spectral image to a predicted mosaic observation image, and constructs observation consistency constraints using the differences between the original mosaic image and the predicted mosaic observation image. It then re-optimizes the initial high-resolution spectral image result through iterative correction using residual backprojection, ensuring that the final output meets the mosaic spectral observation consistency requirements while improving spatial detail, thereby enhancing the reliability, stability, and interpretability of the reconstruction results.

The application discloses a temperature-pressure-vibration-resistant methane carbon isotope detection system for oil and gas logging, and belongs to the technical field of oil and gas logging. The system comprises a gas sample pretreatment module, an optical sensing module, a driving and temperature control module and a core control and algorithm module. The core control module is realized by FPGA and integrates adaptive multi-resolution scanning and compressed sensing reconstruction algorithms. The method comprises the following steps: current segmentation scanning and wavelength modulation are performed on a laser; light path anti-vibration coupling is realized through MEMS mirror closed-loop control; sparse sampling spectrum data are acquired; high-resolution spectrum is reconstructed by using compressed sensing; Voigt line type fitting inversion is adopted to calculate the concentrations of 12CH4 and 13CH4 and calculate the value of δ13C. The precision, speed and long-term stability of methane carbon isotope detection under the temperature-pressure-vibration coupling disturbance environment of the logging site are significantly improved.

The invention discloses a 250-1800 nanometer hyperspectral ultra-wide field-of-view stereo imaging spectrometer, and belongs to the technical field of remote sensing spectral imaging, the 250-1800 nanometer hyperspectral ultra-wide field-of-view stereo imaging spectrometer comprises a front-view detection module, a front-view detection module and a rear-view detection module, and each detection module comprises a first microlens array, a plurality of optical fibers, a plurality of second microlens arrays and a plurality of spectrum detection assemblies. The first micro-lens array collects incident light of a one-dimensional ultra-wide field of view, the incident light is transmitted to the corresponding second micro-lens array through the optical fiber for collimation, and the incident light is received by the detector after being split by the optical filter and the plane transmission grating. According to the imaging spectrometer provided by the invention, the working wave band is divided into a plurality of continuous sub-wave bands, excellent spectral resolution is realized in each sub-wave band, high-resolution spectral imaging in an ultra-wide spectral range of 250-1800 nanometers is finally realized, and the imaging spectrometer is very suitable for remote sensing broad-spectrum wide-area spectrum detailed investigation and three-dimensional imaging measurement systems.

Molecular rotational resonance (MRR) spectroscopy is a structurally specific, high-resolution spectroscopic technique capable of identifying chemical species, including enantiomers, that cannot be resolved by other analytical techniques. In MRR spectroscopy, a gas-phase sample is injected into a vacuum chamber, where it is excited with millimeter-wave or microwave radiation and emits a free induction pulse (FID) in response. The spectrum of the FID pulse provides information about the sample's chemical structure. In MRR ratio measurements, the sample is simultaneously illuminated by two excitation pulses at different frequencies (e.g., a broadband pulse and a narrowband pulse at different frequencies, or a narrowband pulse at different frequencies). The pulses stimulate simultaneous or overlapping FID emissions from different components of the sample. Comparing the spectra of these FID emissions yields the ratio of the components in the sample.

The invention discloses a measurement system and method of a staggered double-comb spectrum technology based on a double-circulation frequency shift loop, and belongs to the technical field of optical measurement, the system comprises a tunable stepping laser module, a double-optical-comb generation module and an acquisition and processing module; the tunable stepping laser module is used for generating frequency-adjustable seed light; the double-optical-comb generation module is used for receiving the optical signal which is averagely divided into two paths and feeding the optical signal to two independent cyclic frequency shift loops to perform optical frequency shift circulation so as to generate a first flat optical frequency comb and a second flat optical frequency comb; the acquisition and processing module is used for demodulating a final high-resolution spectrum; according to the invention, a flat optical frequency comb is generated through a double-circulation frequency shift loop, and finally a high-resolution spectrum is demodulated, so that high-precision and wide-bandwidth spectrum measurement is realized, and the device and the method are suitable for the fields of gas molecule spectrum detection, environment monitoring and the like.

Provided is a hyperspectral resolution spectral recovery method. The high-resolution spectral recovery method comprises: step 1, obtaining a transmission spectrum matrix of a spectral chip and a measurement value vector of an image sensor of the spectral chip; step 2, setting a predetermined selection probability of each row of the transmission spectrum matrix; step 3, selecting a predetermined row of the transmission spectrum matrix based on the predetermined selection probability; step 4, obtaining an update vector of the predetermined row based on an inner product of a spectral vector before iteration and the predetermined row, a value at a corresponding position of the measurement value vector and the predetermined row, a two-norm of the predetermined row; step 5, obtaining a spectral vector after iteration by subtracting the update vector from the spectral vector before iteration; and step 6, repeating steps 3 to 5 until the spectral vector after iteration meets a termination condition. In this way, high-resolution spectral recovery can be completed by improving the random Kaczmarz algebraic iteration, the difficulty of matrix inversion in high-resolution spectral recovery is solved, and the convergence speed is fast and the recovery precision is high.

The application relates to an unmanned aerial vehicle inspection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring infrared thermal imaging data, discharge spectrum data and visible light imaging data of a target power device based on a carrying device of an unmanned aerial vehicle, determining the contour of a target area, locking the target power device based on the contour and a defocus detection assembly, and collecting high-resolution spectrum data; analyzing the high-resolution spectrum data, establishing a quantitative model between the energy level difference and the redshift wavelength offset, determining the correlation mapping relationship between the discharge defect type and the redshift spectrum, correcting the correlation mapping relationship, obtaining the final correlation mapping relationship, distributing a preset weight, fusing to obtain a fault image, carrying out noise reduction processing, and outputting the discharge defect detection result of the target power device and the processed fault image. The method can improve the accuracy of power equipment defect detection.

1. The name of the design product: high-resolution spectrometer. 2. The use of the design product: high-precision spectral measurement of ultraviolet, visible, near-infrared band, steady-state or transient radiation source. 3. The design points of the design product: the combination of shape and color. 4. The picture or photo that best indicates the design points: perspective view. 5. The design claimed contains color.