513 results about "Spectral resolution" patented technology

The invention discloses a landslide monitoring method based on remote sensing data, and the method comprises the steps: obtaining a high-resolution optical remote sensing image and a synthetic aperture radar image of a research region, carrying out the registration processing of the optical and radar remote sensing images, and obtaining a remote sensing image with an accurate spatial position and an accurate geometric shape; generating a landslide area fusion image with high spectral resolution; the matched high-resolution DEM data is obtained; based on the matched high-resolution DEM data, gradient parameters of the research area are calculated, and a gradient threshold value is determined according to gradient distribution characteristics and prior knowledge; extracting slope direction parameters of the research area by adopting a slope direction algorithm based on grids and vectors, and screening out a landslide-prone area in combination with the slope threshold value; obtaining a landslide risk distribution map; and obtaining the occurrence possibility and danger level of the landslide, and obtaining the landslide condition according to the occurrence possibility and danger level of the landslide. According to the invention, precise identification and dynamic monitoring of landslide disasters are realized.

The invention belongs to the technical field of computer data processing, and provides a biodiversity inversion method based on multi-source remote sensing image fusion. Comprising the steps of remote sensing image data acquisition, image preprocessing, image fusion processing, multispectral resolution image data generation, spectral feature extraction, final frequency feature extraction, feature integration and target ecological variable prediction. According to the invention, through wave basis adaptive selection and multi-scale wavelet decomposition, spectrum fidelity and space structure maintenance are considered, differential fusion of high and low frequency components under different scales is realized, and multi-source data complementarity and fusion image quality are improved; through spectral resolution refinement processing and multi-bandwidth scale simulation, the limitation of single resolution is broken through, and the capability of capturing complex spectral features of vegetation is enhanced; the spatial correlation is enhanced through spatial neighborhood feature fusion; and through an ecological variable inversion estimation model, multi-index synchronous prediction is realized, and the universality of the model is improved.

The invention relates to a multispectral image and hyperspectral image fusion method and system, and belongs to the field of deep learning and signal processing, and the method comprises the steps: carrying out the coding and feature extraction of a multispectral image and a hyperspectral image through employing a coder based on a spectrum self-attention mechanism; the hyperspectral image features and the multispectral image features obtained by the encoder are input into a space-spectrum fusion module, deep fusion of the spatial dimension and the spectral dimension is carried out, and unified feature representation is obtained; inputting unified feature representation obtained by fusion into a decoder based on a spectrum self-attention mechanism, inputting layered features passing through a graph-based spectrum sensing module into a corresponding decoder symmetric layer, and then decoding and outputting to obtain a spectrum image with high spatial resolution and a spectrum image with high spectral resolution; through the above strategy, full fusion and complementation of spectral image space information and spectral information are ensured, and the method has important value for research and application of MHIF.

The invention relates to the technical field of hyperspectral imaging, in particular to a single-pixel hyperspectral imaging method and device based on time domain stretching. The method comprises the following steps: broadband signal light passes through a sample to be detected to obtain two-dimensional image information and one-dimensional spectral information, a mask pattern is generated by using a spatial light modulation module, and spatial coding modulation is performed on the signal light carrying the sample information; the broadband signal light subjected to space coding is effectively collected through a multimode optical fiber, different space frequency components are homogenized, then time stretching is conducted through a time stretching module to achieve separation of different wavelengths in the time domain, and time domain information of signal pulses is recorded through a single-pixel detector; time is mapped back to a frequency spectrum through the accurate corresponding relation between the signal light frequency and the time delay amount, and a hyperspectral image is obtained according to the known mask sequence and the signal intensity corresponding to different wavelengths in combination with an association algorithm. According to the technical scheme, high-spectral imaging with high speed, high spectral resolution and high sensitivity can be realized.

A method and device for generating a satellite remote-sensing image with high spatial, temporal and spectral resolutions is provided. The method includes: fusing a multispectral image with high temporal and spatial resolutions but a low spectral resolution and a hyperspectral image with a high spectral resolution but low temporal and spatial resolutions to generate a fused image with high spatial, temporal and spectral resolutions. Compared with a current spatial-temporal-spectral integrated fusion method, the proposed method is more in line with resolution characteristics of current mainstream satellite-borne remote-sensing data and can achieve high-fidelity fusion performance.

The invention belongs to the technical field of image processing, and relates to a KAN-based space-frequency double-domain implicit guide sampling remote sensing image fusion method, which comprises the steps of constructing a training sample, creating a KAN-based space-frequency double-domain implicit guide sampling network, training the network and inputting an image to be fused into the trained network. And a fused image with high spatial resolution and high spectral resolution after fusion is generated through mapping. The network comprises a coding unit, a space implicit guiding unit, a frequency implicit guiding unit and a decoding unit, the coding unit is composed of parallel KANs and maps hyperspectral and multispectral remote sensing images to a depth potential space, and the space implicit guiding unit and the frequency implicit guiding unit conduct guiding implicit sampling on HSI in the space domain and the frequency domain respectively. And the decoding unit fuses the space-frequency domain sampling features and generates a final fused image. According to the invention, a pure KAN-driven architecture is adopted, the dependence on a multi-layer sensor in the prior art is replaced, and the lightweight degree is relatively high.

The invention relates to the technical field of spectrum detection and optical imaging, and provides a time domain stimulated Raman scattering method and system.The method comprises the steps that pumping pulses or Stokes pulses are modulated, two stimulated Raman excitation pulse pairs with adjustable relative delay are introduced, a to-be-detected sample is excited to generate transient stimulated Raman scattering, and the time domain stimulated Raman scattering is obtained; transient stimulated Raman scattering signals can be obtained, acquisition of hyperspectral data covering hundreds of wave numbers can be achieved only through single excitation, and the method has the advantage of being high in time resolution. Meanwhile, the spectral resolution of the vibration level life broadening limit can be obtained through the method, and the main technical bottleneck faced by the traditional stimulated Raman scattering spectrum technology can be solved at a time. The method can be applied to the fields of Raman scattering imaging, spectrum detection, related Raman probes and the like.

The present disclosure describes a system and a method for object detection and counter measures. A signal reflected by an object in an environment is conditioned to improve various parameters such as signal to noise ratio, spectral resolution, color mapping, or the like. A determination whether the object is unmanned aerial vehicle is based on an output of a trained AI model. The trained AI model classifies the detected object into a category based on the conditioned signal. Additionally, a jammer and spoofer are orchestrated based on determination that the object is an unmanned aerial vehicle. A control of the object is achieved based on the orchestration to perform counter measures such as jamming and spoofing.

The invention is suitable for the technical field of filters, and particularly relates to a manufacturing method of a linear gradient filter and the linear gradient filter. The manufacturing method of the linear gradient filter comprises the following steps that a glass wafer serves as a substrate, and a lower reflecting layer is plated on the surface of the glass wafer; wherein the lower reflecting layer is formed by alternately stacking a plurality of layers of low-refractive-index materials and a plurality of layers of high-refractive-index materials; coating a resonant cavity layer on one side, far away from the glass wafer, of the lower reflecting layer through a stepped coating process; plating a reflecting layer on one side, far away from the glass wafer, of the resonant cavity layer; and plating a long-wave-pass layer on one side, far away from the glass wafer, of the upper reflecting layer and in an area larger than the central wavelength to obtain the linear gradient filter. Compared with the prior art, the linear gradient filter provided by the invention is better in spectral resolution in a long wave band, smaller in energy difference of channels, excellent in wavelength selection performance and capable of being applied to spectrum applications such as a miniaturized infrared spectrometer and the like.

The invention discloses a hyper-spectral imaging chip, device and system based on an adjustable and reconfigurable metasurface, the chip comprises a metasurface unit array, a metasurface reconstruction module, a metasurface adjustment module, a CMOS image sensor and a spectrum reconstruction and identification module, the metasurface unit array comprises a plurality of metasurface units arranged on a silicon layer; the metasurface reconstruction module is used for adjusting the number of metasurface units included in the reconfigurable metasurface unit array; the metasurface adjusting module is used for being connected with the silicon layer of the metasurface unit array through a wire and changing the spectral response of the metasurface unit by adjusting the voltage of the wire; the CMOS image sensor is used for detecting optical signals modulated by the reconfigurable metasurface unit array; and the spectrum reconstruction and identification module is used for performing hyper-spectrum reconstruction and imaging according to the optical signal detected by the CMOS image sensor. The system is adjustable in spectral response, and has ultrahigh spectral resolution, real-time dynamic monitoring capability and adaptive imaging capability.

The invention relates to the technical field of spectrum detection, and particularly provides a passive laser heterodyne double-balance spectrum detection method and device, and the method comprises the steps: carrying out the frequency mixing and differential processing of an input narrow-linewidth laser local oscillator signal and a wide-spectrum incoherent target optical signal through employing an optical mixer and a photodiode, and obtaining a laser heterodyne double-balance spectrum. Two paths of random time beat frequency photocurrent signals with the phase difference of 90 degrees are generated, the random time beat frequency photocurrent signals comprise information such as the spectrum of signal light, and the spectrum information of the signal light can be recovered by processing the output photocurrent signals through methods such as filtering and integration. The narrow linewidth and wavelength tunable characteristics of the narrow linewidth laser local oscillation signal can be utilized to perform high spectral resolution information acquisition on the wide spectrum incoherent optical signal, the utilization efficiency of the local oscillation light is effectively improved, common mode noise and part of system noise are eliminated, and the signal-to-noise ratio of the output signal is enhanced.

The invention discloses a design method for an airborne snapshot type hyperspectral polarization zoom imaging optical system, and relates to the field of optics, and the method comprises the steps: calculating the focal length of a zoom group, the rear intercept of a front zoom telescoping system, the moving distance of the zoom group, the focal length of a front fixed group, and the focal length of a rear fixed group according to a focal power distribution model of a reverse long-distance zoom objective lens; setting the distance between the zoom group and the diaphragm according to the moving distance of the zoom group; the zoom group is arranged between the front fixed group and the diaphragm in a sliding manner; determining an optimal glass combination according to the total focal power corresponding to each glass combination, and setting the material of each lens according to the optimal glass combination; simulating each combination to obtain the distinguishable minimum wavelength difference of the polarization detector under each combination, calculating the focal length of the imaging mirror according to the minimum wavelength difference, and designing the zoom imaging optical system according to the combination corresponding to the minimum wavelength difference and the focal length of the imaging mirror. According to the invention, the snapshot type hyperspectral polarization imager with both high spatial resolution and high spectral resolution can be designed.

The invention discloses an ultrafast coherent Raman spectrometer based on quantum entanglement photon enhancement and a light path device thereof, which realize ultrafast and high-resolution detection of a molecular vibration mode through integration of a quantum light source assembly, an ultrafast laser assembly, a light path assembly and a nonlinear crystal assembly and a high-sensitivity detection technology. By utilizing the characteristics of quantum entangled photons, the sensitivity and resolution of spectral measurement are improved, the system structure is simplified, and the cost is reduced. The quantum light source assembly adopts a nonlinear optical crystal to perform parametric down-conversion to generate entangled photon pairs. The ultrafast laser assembly generates femtosecond pulses, and the femtosecond pulses and the entangled photon pairs carry out nonlinear interaction. The light path assembly accurately controls the path and polarization state of photons to realize nonlinear Raman scattering of sample molecules. And the high-sensitivity detector is used for detecting and measuring the Raman light signal scattered by the sample. The invention aims to provide a spectral analysis method with high time resolution and high spectral resolution so as to realize ultrafast and high-resolution detection of a molecular vibration mode. According to the spectrograph, by utilizing the characteristics of quantum entangled photons, through entangled photon pairs generated by the nonlinear optical crystal, the sensitivity and resolution of spectral measurement are improved, and the problem of balance between time and spectral resolution in the prior art is solved.

The invention relates to the technical field of geological surveying and mapping, in particular to a hyperspectral remote sensing geological surveying and mapping control system and method, and the method comprises the steps: carrying out the continuous collection of the same geology, and obtaining each frame of remote sensing grayscale image; determining the local gray level difference between any non-edge pixel point and any edge pixel point in each frame of remote sensing gray level image; determining a first gray level distribution coefficient and a second gray level distribution coefficient of each frame of remote sensing gray level image; determining a quality evaluation coefficient of each frame of remote sensing grayscale image; determining an edge distribution coefficient of each frame of remote sensing grayscale image; determining an edge contribution weight of each frame of remote sensing grayscale image; determining an anti-noise capability coefficient of each frame of remote sensing grayscale image; determining a clear evaluation index of each frame of remote sensing grayscale image; and obtaining an optimal remote sensing grayscale image, and carrying out deblurring processing on the optimal remote sensing grayscale image to obtain a hyperspectral remote sensing geological surveying and mapping image. According to the invention, the image quality of the hyperspectral remote sensing surveying and mapping image can be improved, and the effect of improving the spectral resolution and the spatial resolution is ensured.

The invention discloses a hyperspectral imaging system based on prism-grating light splitting, which adopts a slit, a collimator objective, a prism, a grating, an imaging objective and a detector which are arranged in a matched manner, the detector performs push-broom imaging by sequentially collecting relatively moving target object images, the resolution of the imaging in the push-broom direction is in direct proportion to the image collection speed, and the resolution of the imaging in the push-broom direction is in direct proportion to the image collection speed. The image acquisition speed is inversely proportional to the push-scan speed, the detector selects part of the target surface through the region of interest to acquire data so as to increase the image acquisition speed, and the push-scan speed is increased on the premise that the resolution in the push-scan direction is determined; the spectral line bending caused by prism dispersion is opposite to the spectral line bending caused by grating dispersion in direction, and a spectral line bending eliminating light splitting structure is designed to correct the spectral line bending; on the basis of a prism-grating spectral line light splitting eliminating structure, an optical system is designed in combination with the ROI function of the high-speed near-infrared industrial camera, and the acquisition speed of the camera is greatly improved on the premise of moderately reducing the spectral resolution.

The invention discloses a distinguishing table type X-ray spectrometer and an X-ray absorption spectrum testing method, and relates to the technical field of spectral measurement. The high-resolution table type X-ray spectrometer comprises a sample signal source which is located in a Dowland circle and is used for generating X-rays; the exponential crystal is a bent crystal, the surface shape of the exponential crystal is defined by an exponential equation, so that different points on the curved surface of the crystal have different curvature radiuses and correspond to Rowland circles with different radiuses, each point on the exponential crystal is tangent to the corresponding Rowland circle, and the exponential crystal is used for performing monochromatization and focusing on the X-ray incident from the sample signal source; and the detector is positioned on a surface formed by the corresponding imaging points on each Rowland circle, and is used for receiving the X-rays which are monochromatized and focused by the index crystal and outputting corresponding light intensity signals. Therefore, through the cooperation of the index crystal and the multi-Rowland circle structure, the X-ray absorption spectrum test with high light receiving efficiency, high spectral resolution and wide energy spectrum range can be realized, and the comprehensive performance of the desk type spectrometer is improved.

The invention discloses a hyperspectral oblique photography method based on an unmanned aerial vehicle and a ground agricultural machine, and the method employs the unmanned aerial vehicle to obtain the air data of a farmland, employs the agricultural machine to continuously obtain the ground data in real time, obtains the data in the operation process of the agricultural machine, and does not need to invest extra time and manpower. The advantages of an air platform and a ground platform are fused in an air-ground cooperation mode, high-precision, high-spectral-resolution and multi-angle comprehensive acquisition of remote sensing data of a farm is achieved, the spatial and spectral resolution of the data is improved, the requirement of precision agriculture for the data is met, air oblique photography is used, and the precision agriculture is improved. And multi-view information of the farmland is obtained to establish a high-precision farmland three-dimensional model. The method can solve the problems of insufficient data acquisition precision and timeliness in the prior art, remarkably improves the remote sensing data acquisition precision in agricultural production, and is widely applied to the fields of crop health monitoring, pest control, soil management and the like.

The present disclosure relates to a static cone penetration test device. The device includes a housing, an optical window and a friction cylinder coaxially connected. Light sources are mounted in the optical window and a static cone penetration assembly is disposed in the friction cylinder to detect a resistance the device suffers when the device is pressed into soil. An optical fiber sensor, a wireless transceiver, a data processing chip and a power supply are disposed in the housing. The optical fiber sensor is used to receive the reflected light of a target object and output spatial position information and spectrum information. The wireless transceiver is used to upload test data and receive a control signal. The data processing chip is used to analyze the test data. The present disclosure has the advantages of compact structure, high spectral resolution, quick imaging speed, and strong immunity to interference.

The present invention belongs to the field of image processing technology, and relates to a KAN-based space-frequency dual-domain implicit guided sampling remote sensing image fusion method, including training sample construction, creating a KAN-based space-frequency dual-domain implicit guided sampling network, network training and inputting the image to be fused into the trained network, and generating a fused image with high spatial resolution and high spectral resolution after mapping. The network includes a coding unit, a spatial implicit guiding unit, a frequency implicit guiding unit and a decoding unit. The coding unit is composed of parallel KANs to map the hyperspectral and multispectral remote sensing images to a deep latent space. The spatial implicit guiding unit and the frequency implicit guiding unit respectively perform guided implicit sampling on HSI in the space and frequency domains, and the decoding unit fuses the space-frequency domain sampling features and generates the final fused image. The present invention is a pure KAN-driven architecture, which replaces the previous reliance on multi-layer perceptrons and has a good degree of lightweight.

The invention relates to the technical field of optical filters, and provides an infrared ray gradient optical filter and a preparation method thereof, and the preparation method comprises the following steps: providing a substrate; coating the upper surface of the substrate for the first time to form a first reflecting layer; the upper surface of the first reflecting layer is coated for the second time to form a spacer layer, the cross section of the spacer layer is of a wedge-shaped structure, and the thickness of the wedge-shaped structure is linearly increased in the preset direction; and carrying out third coating on the upper surface of the spacing layer to form a second reflecting layer, thereby obtaining the infrared linear gradual change optical filter. The surface, away from the substrate, of the second reflecting layer is used for receiving incident light, and the surface, away from the first reflecting layer, of the substrate is used for emitting transmission light. And the second reflecting layer is formed by alternately laminating first refractive index material film layers and second refractive index material film layers. The infrared ray linear gradual change optical filter can continuously and dynamically adjust the spectral resolution, and the wavelength application range is wide.

The invention provides a two-dimensional measurement method for the temperature of a combustion field, which comprises the following steps: tuning laser frequency to be stabilized in the center of an iodine molecule absorption line, outputting a narrow-linewidth single-longitudinal-mode continuous light beam by a laser, dividing the light beam into two light beams by a spectroscope, enabling one light beam to pass through a reference light path and be used for acquiring an instrument function of a VIPA-based spectrograph, and enabling the other light beam to pass through a reference light path; the other beam of light is incident into a combustion field as exciting light and interacts with gas in the combustion field to generate a scattering signal, the light receiving system collects and filters the scattering signal to obtain filtered Rayleigh-Brillouin scattering (FRBS), and the filtered Rayleigh-Brillouin scattering (FRBS) is transmitted to the spectrograph and the CCD through the optical fiber for spectral resolution and signal acquisition. The scanning system completes two-dimensional profile scanning of a combustion field, retrieves the temperature of an acquired FRBS spectral line through an FRBS theoretical model, and achieves two-position measurement of the temperature of the combustion field. The method can be provided for retrieving the gas temperature based on FRBS in a high-temperature environment containing strong mie scattering or strong background light, can adapt to different environments and requirements, and provides higher flexibility.

The invention belongs to the field of reconfigurable on-chip spectrometers, and particularly discloses a reconfigurable on-chip spectrometer based on a low-loss GST superlattice phase change material. According to the invention, the GST-SL2 material is combined with the double-cascade micro-ring array architecture, so that the performance of the device is improved in a breakthrough manner, a large amount of spectral response can be generated only through a limited number of micro-ring resonators on a chip, the flexible regulation and control of the spectral resolution and the working bandwidth are supported, and the customization requirements of different application scenes are met; a resolution regulation and control array is formed by cascading # imgabs0 first MRRs which are arranged at equal intervals in the extension direction of a bus waveguide, the lengths of resonance micro-rings of the first MRRs are increased progressively, and due to the cascading design, through the synergistic effect of the multiple MRRs, the overall regulation and control capacity is remarkably enhanced, and it is ensured that sampling points can uniformly cover the whole working bandwidth of an on-chip spectrometer; the measurement bandwidth regulation and control array divides the working bandwidth into a plurality of channels, the irrelevance of a system response function is successfully enhanced, and a reliable basis is provided for spectrum reconstruction.

The invention discloses a filtering adjustment method and system based on an adaptive clock, and relates to the technical field of filtering adjustment, and the method comprises the steps: carrying out the time domain framing processing of a collected input signal through employing a sliding window, and combining DCT and compressed sensing to reconstruct the signal, and the main frequency of the signal and the dynamic change of the main frequency in the time sequence are accurately extracted through FFT, Gaussian pyramid layering and a multi-scale optical flow method, so that the frequency identification capability of the non-stationary signal is effectively enhanced, the frequency spectrum resolution is ensured, the data processing amount is remarkably reduced, the response speed of the signal frequency change is improved, and the method is suitable for popularization and application. Through the main-sub clock structure, the quick response of the center frequency of the filter to the change of the main frequency is ensured, the selectivity of the filter and the signal fidelity are improved, through the compensation adjustment of environmental factors, the influence of temperature and voltage changes on signal processing can be effectively reduced, and the robustness and stability of the system are enhanced.

The invention belongs to the field of nuclear magnetic resonance technology detection, and particularly relates to a detection method for sodium ions in an ion exchange membrane and application. The detection method comprises the following steps: (1) soaking an ion exchange membrane to prepare a polygonal sample with a symmetrical structure and no less than 4 edges, winding the sample on a uniform bar, loading the sample into the bottom of a nuclear magnetic tube by adopting a screw-in manner, and drawing out the bar or retaining the bar in the nuclear magnetic tube; (2) putting the nuclear magnetic tube prepared in the step (1) into a nuclear magnetic resonance spectrometer, tuning, shimming, adjusting nuclear magnetic resonance test parameters, and collecting signals; the nuclear magnetic resonance test parameters comprise that the 90-degree pulse width is 10-14 [mu] s; and the power is 60 to 110W. The nuclear magnetic sample prepared by the method has the advantages of good shimming effect, high detection sensitivity, high spectrogram resolution and the like during detection, and 23Na in a bulk phase of an ion exchange membrane can be detected.

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 an optical fiber sensing precision enhancement method for high-resolution spectrum subdivision. According to the invention, the spectrum subdivision algorithm based on Fourier transform is applied, so that spectrum subdivision and resolution enhancement are realized, and the optical fiber sensing precision enhancement method based on high-resolution spectrum subdivision has remarkable beneficial effects on the whole optical fiber sensing precision enhancement method based on high-resolution spectrum subdivision. Fourier transform can convert a time domain signal into a frequency domain signal, high-frequency noise and low-frequency interference are effectively removed through frequency domain filtering, and frequency components in a target spectral range are reserved, so that the purity of the spectral signal is improved. And the filtered frequency domain signal is restored into a time domain signal through inverse Fourier transform, so that the integrity of the signal is kept. Furthermore, the time domain signals are subdivided through a linear interpolation algorithm, the data point density is increased, and the spectral resolution is remarkably improved. And a more accurate and detailed data basis is provided for recognition and analysis of subsequent characteristic spectrums, so that the measurement precision and reliability of the optical fiber sensor are enhanced.

The invention provides an anti-noise interference frequency parameter estimation method for high-precision optical coherence ranging, which comprises the following steps: acquiring a spectral interference signal of an optical low-coherence interference system and a reference light spectral signal output only by a reference arm, and converting the spectral interference signal into interference signals with wave number space arranged at equal intervals, carrying out spectral density amplitude normalization to obtain a standard interference signal so as to eliminate interference of light source spectrum fluctuation and non-uniform sampling on frequency estimation; hanning window modulation is applied to a standard interference signal, spectrum leakage is suppressed, spectrum analysis is performed on the modulated signal, a peak value and an adjacent secondary peak value of a spectrum main lobe are extracted, a frequency correction amount is calculated based on a peak value and secondary peak value amplitude ratio relation derived by a Hanning window spectrum mode function, and an accurate frequency of the interference signal is obtained; and calculating the displacement of the object to be measured according to the product of the accurate frequency and the spectral resolution of the optical low-coherence interference system in combination with the refractive index of the light in the measurement medium.

An apparatus and method for spectrum detection by defect scattering calculation and reconstruction. The apparatus includes a photodetector, a light input system, a multi-mode waveguide, a random defect scattering structure and a substrate. The defect scattering structure is a recess with random quantities of size and position on the surface of the optical waveguide. The technical solution reconstructs a target spectrum by introducing random defects onto the surface of the optical waveguide to obtain scattered light, has the advantages of fewer devices, compact spatial optical path and small size compared with the traditional commercial spectrometer, effectively reduces the system complexity and cost of the spectrometer, and improves the portability of the spectrometer. This structure can reproduce an incidence spectrum well when using the calculation and reconstruction method to reconstruct the spectrum, and has a large bandwidth and high spectral resolution.

The technology provides a method and apparatus for standardizing spectral resolution across multiple spectrometers using custom input slit dimensions. A plate with a slit may be replaced to provide various slit widths to obtain desired spectrometer resolution. Alternatively, the plate may include an adjustable slit width that is mechanically adjusted over a desired range of values. The slit width may be adjusted by discrete increment amounts determined based on an end application. A resolution of a tunable spectrometer may be calibrated to match a reference spectrometer by customizing a slit width value. The technology enhances the accuracy of spectral classification algorithms by minimizing variability of Raman spectra introduced by spectrometer component differences in lenses, gratings, and detectors, for example.

The invention, which belongs to the technical field of spectral imaging, discloses an ultra-wide-band ultra-wide-field-of-view high-spectral-resolution real-time imaging spectrometer comprising a first micro-lens array, a plurality of optical fibers, a plurality of second micro-lens arrays and a plurality of assemblies. First micro lenses in each column of the first micro lens array are arranged on a vertical plane arc, and micro lenses in each row are arranged on a horizontal plane straight line, so that incident light of a one-dimensional ultra-wide view field is obtained in real time; through optical fiber coupling, incident light is transmitted to the second micro lens array to be collimated into parallel light beams; according to the components, light of different wavebands is processed through the optical filter, the plane transmission grating and the detector, first-order diffraction light beams of different wavelengths in the different wavebands are received by the detector after diffraction, and space information and spectral information are obtained in real time according to an irradiated target block. The imaging spectrometer provided by the invention has the advantages of ultra-wide wave band, ultra-wide field of view, high spectral resolution, real-time measurement, compact structure and high stability, and is suitable for a remote sensing photoelectric reconnaissance detection system.