379 results about "Spectral resolution" patented technology

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.

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 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 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 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 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 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.

The application discloses a hyperspectral imaging chip, device and system based on an adjustable reconfigurable metasurface, and the chip comprises a metasurface unit array, a metasurface reconfiguration 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 reconfiguration module is used for adjusting the number of metasurface units included in the reconfigurable metasurface unit array; the metasurface adjustment module is used for connecting the silicon layer of the metasurface unit array through wires, and is used for changing the spectral response of the metasurface unit by adjusting the voltage of the wires; the CMOS image sensor is used for detecting light signals from the reconfigurable metasurface unit array after modulation; and the spectrum reconstruction and identification module is used for performing hyperspectral reconstruction and imaging according to the light signals detected by the CMOS image sensor. The application has adjustable spectral response, ultrahigh spectral resolution, real-time dynamic monitoring capability and self-adaptive imaging capability.

The invention discloses a spectral imaging calculation system based on spectral response enhancement of a color detector, and belongs to the technical field of spectral imaging, the spectral imaging calculation system comprises a birefringence light splitting module and a color detector, the birefringence light splitting module comprises a polarizer, a birefringence crystal and a polarization analyzer, the polarizer, the birefringent crystal, the polarization analyzer and the color detector are sequentially and coaxially arranged along an optical axis; the color detector is also electrically connected with a signal processing module; incident light is converted into linearly polarized light through the polarizer, the linearly polarized light is decomposed into o light and e light through the birefringent crystal, and the o light and the e light are combined into emergent light through the polarization analyzer. The emergent light passes through a color detector to obtain a measurement signal; and the signal processing module receives the measurement signal and reconstructs a spectral image in combination with the spectral response matrix of the birefringence light splitting module and the spectral response function of the color detector. The spectral response characteristics of multiple color channels of the color image sensor are combined with the birefringence color development polarization principle, the rank of a spectral response matrix is expanded, and the spectral resolution and the imaging precision are improved, so that the spectral information of a substance is more accurately acquired and analyzed.

The invention discloses a fluorescence detector based on an off-axis parabolic mirror, and belongs to the technical field of liquid chromatographic analysis, the fluorescence detector comprises a light source light path, an excitation monochromatic light path, a flow cell light path, a fluorescence collection light path, a fluorescence emission light path and a detector which are arranged in sequence, and the light source light path generates and converges ultraviolet-visible light; the converged ultraviolet-visible light is converted into monochromatic light with different wavelengths through the monochromatic light excitation path, the monochromatic light irradiates a to-be-detected sample in the flow cell light path to generate fluorescence, the fluorescence collection light path collects and converges the fluorescence, the converged fluorescence is divided into monochromatic fluorescence with different wavelengths through the fluorescence emission light path, and the monochromatic fluorescence is finally detected by the detector. The light source light path and the fluorescence collection light path both adopt off-axis parabolic reflectors to replace lenses, so that the influence of chromatic aberration is eliminated, and the utilization rate of optical energy is improved; the two off-axis parabolic reflectors are matched with each other, so that high spectral resolution is realized, and a simulation imaging light spot is less than 20 microns.

The invention relates to the technical field of low-power-consumption electronics, and discloses a low-power-consumption instantaneous frequency measurement system which comprises a radio-frequency signal acquisition module, a signal time-frequency conversion module, a noise floor coding module and the like. The system generates a feature tensor through time-frequency analysis of a radio frequency signal, realizes dynamic threshold fusion in combination with noise floor sparse coding, extracts a multi-scale transient frequency feature by using a pyramid convolutional neural network, dynamically suppresses noise based on a signal-to-noise ratio weight, and reconstructs a real-time spectrum distribution image. The power consumption control module can adjust the ADC sampling rate and the clock frequency of the processing unit according to the signal strength, and the power management unit adopts multi-voltage domain independent power supply. The system solves the problems of frequency measurement precision and power consumption under complex noise, is suitable for the fields of wireless communication and the like, and has the characteristics of high precision, low power consumption, high spectral resolution, visualization and intuition.

The invention belongs to the field of spectral measurement and imaging, and particularly discloses a single-photon detection device and a rapid spectrum and imaging system based on the single-photon detection device. According to the invention, the transmission-type optical fiber spectrometer separates polychromatic light of each wave band in space according to the wavelength, couples photons of different wavelengths into the optical fiber array for time delay, delays different wavelengths to different moments, and outputs the time to the single-photon detection device; the single-photon detection device converts photons of different wavelengths which arrive in time in sequence into electric signals, the number of photons at different moments is obtained after amplification and signal processing, and the photons are converted into spectrums. As the transmission-type spectrometer can provide higher diffraction efficiency, higher spectral resolution and higher signal intensity, and the single-photon detection device can provide a faster and more accurate photon discrimination and photon counting method, compared with the prior art, the spectrum can be measured more quickly on the whole, and higher spectral resolution and higher signal intensity are achieved.

The invention discloses an on-orbit spectrum precision test method and equipment for an ultraviolet hyperspectral remote sensor, and the method comprises the steps: selecting a high-resolution reference solar spectrum higher than the spectral resolution of the ultraviolet hyperspectral remote sensor, and calculating a reference standard solar spectrum according to the high-resolution reference solar spectrum; establishing a reference wavelength library according to the reference standard solar spectrum of the ultraviolet band, and selecting a standard absorption line meeting conditions as a reference wavelength; screening an absorption peak center position of the observation spectrum, finding an absorption peak center closest to the reference wavelength in combination with the reference wavelength library, and constructing a peak searching database of the absorption peak center of the discrete spectrum; and calculating a difference value between the central wavelength calculated according to the peak searching database and the corresponding reference wavelength to obtain the spectrum calibration precision of the ultraviolet hyperspectral remote sensor. According to the method, the precision difference of the spatial dimension can be identified, the distribution of the overall system deviation is quantified, and reliable support is provided for on-orbit precision verification and performance optimization of the ultraviolet hyperspectral remote sensor.

The subject matter of the invention relates to a method for the automatic technical diagnosis of rotating machines, including detection of faults in rotating machines, in particular vibration measurements of rotating machines by the automatic detection of changes in the signals of machine vibration. The method consists in that monitoring and diagnosis are performed in terms of identifying both the assemblies or parts of an object of the rotating machine subjected to the diagnosis, in such a way that vibration data are recorded in the form of a vibration signal from at least one vibration sensor (2) mounted on the housing of the mechanical elements of the rotating machine (1), wherein each subsequent vibration signal is recorded at the same length and at the same sampling frequency. Then, collected vibration signals are processed in a vibration data acquisition unit (3) equipped with a reductive-redundant mechanism (4) by means of which the vibration signal is modified by calculating the values of spectral components in the domain of frequency or orders and the values are segmented relative to subsequent tested spectral resolutions on the basis of current scale of class intervals. Then, an averaged spectrum is calculated and added to the state matrix and a statistical measure of the comparison of spectral amplitudes is calculated for individual class intervals at the standard score measure and the procedure is repeated for each tested spectral resolution in the range from the value equal to the inverse of the vibration signal length to half the sampling frequency. Finally, the results of the vibration growth index are saved, then are sorted from the highest to the lowest value thus allowing the potential occurrence of a fault to be determined in terms of identifying both a specific assembly or part of the rotating machine (1).

The invention discloses a spectral space coding imaging system and method of a programmable diffractive optical element. The method comprises the following steps: S10, receiving a target scene light signal through a light field model and forming an optical image; s20, performing spatial spectrum joint modulation on the optical image by adopting a programmable diffractive optical element to obtain a coded light field; s30, projecting the coding light field to a detector and obtaining a two-dimensional coding image of primary exposure; and S40, inputting the two-dimensional coding image into a reconstruction module, combining modulation information of the programmable diffractive optical element, and performing decoding reconstruction by using a compressed sensing algorithm to obtain a high-resolution space image and spectral information of the scene. According to the invention, the limitation of the existing system on spatial / spectral resolution is broken through, the system structure is simplified, and the hardware programmability is improved; the imaging capability in a dynamic scene is improved; the signal-to-noise ratio and the penetrating power are improved; and balancing a physical model and a data driving method.

The invention relates to the technical field of measurement, in particular to an automatic calibration device and method for a spectrograph. Comprising a light source, an optical isolator, an optical fiber coupler, a standard reference light source, an adjustable optical fiber attenuator, a first optical fiber collimator, a holographic frequency selection module, an electric reflector, a volume holographic grating, a second optical fiber collimator, a beam splitter, an optical interface unit, a spectrometer to be tested, a photoelectric detector, an electric reflector driver, an arc second level angle encoder, a control module and a communication module. A computer and an image display unit. The volume holographic grating is used for selecting a specific wavelength to measure the corresponding relation between the spectrograph pixel and the wavelength, monochromatic light can be continuously selected, and the theoretical resolution is consistent with the spectral resolution of the light source; automatic calibration of the spectrometer is realized by using an automatic calibration method, pixel-wavelength calibration data can be automatically generated and stored in a preset format, automatic calibration and data processing of spectral measurement software are facilitated, and pixel-level wavelength-pixel position registration is realized.

The invention discloses a millimeter wave scattering aperture sparse three-dimensional imaging method and a millimeter wave scattering aperture sparse three-dimensional imaging system, and aims to realize high-resolution three-dimensional reconstruction through a sparse reconstruction algorithm aiming at a non-vision field target imaging problem under a rough scattering surface condition. The method comprises the following steps: firstly, improving the spectral resolution of an echo signal by using a time domain zero padding technology, accurately positioning a scattering aperture position based on spectrum peak estimation and completing distance compensation, converting a non-vision field echo into an equivalent vision field echo, and retaining complete information of a target; secondly, in combination with target space scattering point sparsity and scattering aperture sparse sampling characteristics, a virtual array and a measurement matrix are constructed, an imaging problem is converted into a sparse reconstruction task, and a target scattering coefficient is efficiently solved by adopting a generalized orthogonal matching pursuit algorithm; the dependence on a mirror reflection condition is broken through, and a non-vision target can be accurately reconstructed in a diffuse reflection scene; compared with an existing scattering aperture algorithm, the method has the advantage that the imaging resolution and the anti-noise capability are remarkably improved through double sparsity constraints. The method has important application value.

The invention discloses a hyperspectral and multispectral image fusion method based on adaptive multi-scale features. According to the method, firstly, a low-spatial-resolution high-spectral-resolution hyperspectral image and a high-spatial-resolution low-spectral-resolution multispectral image serve as input of a network and are subjected to up-sampling through a sampling module on channel interaction to achieve efficient feature expansion, and then the hyperspectral image and the multispectral image are fused into a super-multispectral image with the same size as a reference image; and a multi-scale adaptive spatial reconstruction module captures diversified features and reconstructs spatial information, optimized feature maps enter a spectrum self-attention enhancement module to perform spectrum attention enhancement, correlation between the feature maps is calculated to generate an attention map, and spectrum information is reconstructed. In the image fusion process, the problems of spatial detail loss, insufficient cross-domain generalization ability, spectral distortion caused by low spectral resolution and the like are avoided.

The invention provides an optical frequency domain reflectometer grating array multiplexing demodulation method based on peak position estimation, and the method comprises the steps: in quasi-distributed sensing based on optical frequency domain reflectometer grating array multiplexing, in order to obtain an acceptable grating spectral measurement resolution ratio, carrying out peak position estimation; in the prior art, dense interpolation needs to be carried out on a spectrum of which the spectral resolution is lower than a threshold value required by demodulation, but the data volume is greatly increased, so that the calculation rate is slowed down, and the demodulation efficiency is low. According to the method, peak position estimation is carried out on the cross-correlation spectrum of the grating spectrum of which the spectral resolution is lower than the threshold required by demodulation, so that dense interpolation is avoided, and the problem of low demodulation efficiency caused by dense interpolation is improved; meanwhile, in order to overcome the problems of spectrum distortion caused by grating inscribing defects and spectrum splitting caused by gaps between gratings in the traditional demodulation process, the robustness of system demodulation is ensured to the maximum extent on the basis of improving the system demodulation efficiency.