3382results about "Spectrum investigation" patented technology

The invention relates to the technical field of defect detection, and discloses an integrated circuit mask plate defect multispectral cooperative detection method, which comprises the following steps: carrying out preliminary scanning on a mask plate by using a multispectral camera, selecting an optimal wave band combination, switching to a target wave band through a liquid crystal adjustable optical filter, and obtaining a high-confidence multispectral image; the optical path offset is calculated through the linear relation, the deflection angle of the micro-mirror is dynamically adjusted, and images are collected for the second time after imaging offset is compensated; image filtering and registration are completed in the FPGA, and a high-contrast fusion image is generated; if the confidence coefficient is insufficient, triggering a wave band reselection mechanism to recheck; dynamically optimizing a defect type-spectrum mapping table based on real-time detection data; when the environment fluctuation exceeds the limit, an anti-interference mode is automatically switched, and micro-mirror calibration is triggered; and monitoring performance degradation of the optical assembly in real time, switching redundant optical paths, cleaning damaged parts, triggering manual reinspection when conflicts occur, and finally generating a visual report. According to the invention, the detection accuracy of the integrated circuit mask plate can be improved.

A spatio-temporal variation monitoring method for SPAD of winter wheat, relating to the technical field of crop monitoring. The monitoring method comprises: a multispectral sensor of an unmanned aerial vehicle acquiring canopy images of winter wheat in a heading stage, a flowering stage, and a late grain-filling stage; extracting from multispectral images spectral features based on the canopy reflectance of winter wheat and texture features based on a graylevel co-occurrence matrix; using a feature selection policy to preferably select sensitive remote-sensing features; and applying a feature fusion policy and an SVR algorithm to construct a winter-wheat SPAD estimation model. Spectral features combining a near-infrared band with other bands can fully capture the spectral difference in SPAD of winter wheat in a reproductive growth stage, and texture features in a red-light band and the near-infrared band are relatively sensitive to the SPAD of winter wheat. The stability and estimation accuracy of an SPAD model constructed by applying a feature selection policy and a feature fusion policy are both superior to those of a model applying a feature policy alone and a model not applying any policy.

The invention relates to the technical field of light source control, and discloses a multispectral LED detection light source synchronous control method, device and equipment and a storage medium. The method comprises the following steps: carrying out double-interlaced spectral data sampling on a light source, and carrying out baseline extraction and compensation correction on preset three-dimensional spectral parameters; mapping of multi-dimensional mixed domain time sequence characteristics and decomposition of working characteristic tensors are carried out on the corrected calibration spectrum data, and modulation of recursive phases and group delay compensation calculation are carried out; performing crosstalk compensation of a multi-stage LED light source channel and suppression reconstruction of a multi-harmonic component on the light source phase compensation vector subjected to compensation calculation to generate light source correction control data; and performing light source driving signal synthesis on the light source correction control data to obtain a light source driving waveform sequence, and performing light source channel distribution and synchronous adjustment on the light source driving waveform sequence to generate a light source synchronous control result of the target multispectral LED detection light source. According to the invention, high-precision synchronous control of the multispectral LED detection light source is realized.

The invention relates to an infrared spectrum baseline drift dynamic compensation method and system based on multi-parameter fusion, and the method comprises the steps: continuously obtaining spectrum data, current environment parameters and light source state data of a target oil full wave band, carrying out the feature extraction, and obtaining a baseline drift sensitive feature set and a coupling feature set; constructing a prediction model taking the baseline drift amount as output, and taking the baseline drift sensitive feature set and the coupling feature set as input; the reverse baseline drift amount based on the baseline offset of each wave band is superposed in the spectral data as compensation; according to the invention, through multi-source data acquisition and analysis, monitoring of spectrum baseline drift influence factors is realized; accurate correction of different spectral characteristics is realized through a dynamic compensation strategy special for a wave band; and through a continuous self-adaptive updating mechanism, stable tracking of the long-term drift trend is realized, and the effect of prolonging the equipment maintenance period is achieved.

The invention discloses a method for detecting industrial hazardous gas leakage based on a multispectral infrared imaging system formed by a micro-lens array and a partition optical filter, which is used for solving the problem that the current infrared imaging equipment cannot identify various leaked gases, and belongs to the technical field of infrared imaging. The multispectral infrared imaging system is constructed on the basis of the microlens array and the partition optical filter, multispectral band design is carried out on common gas in the current petrochemical industry field, and the types of common leaked gas are identified by means of spectral characteristics of the leaked gas in an infrared multispectral channel. Firstly, a snapshot type infrared imaging system is constructed based on a micro-lens array and a partition optical filter, and the system comprises a plurality of spectral intervals which respectively correspond to optical absorption peaks of specific gas; imaging the hazardous gas based on a multispectral infrared imaging system to obtain a multispectral infrared image of a hazardous gas leakage scene; and finally, based on a foreground detection method, extracting gray information of the gas cloud target, constructing a spectral absorption normalization curve of the gas cloud target in each channel, and comparing the spectral absorption normalization curve with the spectral absorption curve in the database to judge the gas type of the current gas cloud target. The invention provides a reliable multispectral imaging scheme for a hazardous gas imaging system based on infrared imaging, gas types can be effectively distinguished during actual detection, interference of safe gases such as carbon dioxide and water vapor is eliminated, and the detection capability and practicability of an infrared imaging hazardous gas detection system are improved.

The invention discloses a laser control system and a spectral analysis system. The laser control system comprises an ARM module and a laser control module, the laser control module comprises a TEC module and a DA module; the TEC module is in communication connection with the ARM module, when the laser is started to work, the ARM module judges whether the detected laser shell temperature is within a preset range, if the detected laser shell temperature is within the preset range, the TEC module does not work, otherwise, the ARM module controls the TEC module to start to work until the TEC module reaches a preset target temperature, and stable work is kept; and the DA module is in communication connection with the ARM module, an LD current feedback circuit is arranged in the DA module, the ARM module calculates the error between the current power and the target power according to the current data acquired by the LD current feedback circuit, and then the DA module is driven to adjust the output power of the laser in real time, so that the laser stably operates near the target power. And the power loss of the laser is effectively reduced.

The invention relates to the technical field of sensor calibration, and particularly discloses a high-precision automatic calibration system and method for a multispectral sensor. Comprising a multispectral signal acquisition module, a sensor response optimization module, a spectral feature matching module, a calibration parameter optimization module, an automatic calibration execution module, a calibration error evaluation module and a multi-node cooperative calibration module. The method comprises the following steps: acquiring an original spectral signal, and performing dynamic compensation to generate an optimized signal; extracting spectral feature points and matching the spectral feature points with a standard library to quantify feature deviation; fusing the environment data and the deviation value, and generating an optimal calibration parameter through optimization; real-time calibration is implemented based on parameters, and a cloud report is automatically generated; and constructing a calibration error evaluation model, evaluating the calibration error of the multispectral sensor, and dynamically adjusting a calibration strategy through cooperation of the distributed nodes and the central control unit. According to the invention, the automatic calibration process of the sensor is realized, and the calibration precision of the multispectral sensor in a complex environment is improved.

The invention belongs to the field of laser plasmas, and discloses a device and a method for generating an extreme ultraviolet (EUV) super-continuum light source with luminous efficiency at a 10-20nm waveband, which can be used for quantity detection in advanced semiconductor manufacturing. The device comprises a vacuum pump set, a vacuum chamber, a target material, an EUV spectral measurement system, a laser, a half-wave plate and polarizer combination, a focusing lens and a beam expanding lens, the vacuum pump is used for pumping air to enable the vacuum chamber to keep a proper vacuum degree, and the target material is irradiated by laser to generate plasma to emit supercontinuum radiation of 10-20 nm. According to the invention, after spectral radiation energy and laser-EUV radiation conversion efficiency are quantified through an EUV spectral measurement system and a radiation calibration and energy calculation method, focusing spot sizes with optimal luminous efficiency under different laser wavelengths, laser pulse time and laser energy are obtained, and finally, the maximum luminous efficiency of different laser parameters in a 10-20nm wave band is realized.

The invention relates to the technical field of agricultural remote sensing measurement, and discloses an unmanned aerial vehicle hyperspectral online calibration measurement method for agricultural remote sensing, which comprises the following steps: acquiring hyperspectral data of a target crop and reference vegetation in the same scene in real time through an unmanned aerial vehicle, and extracting a characteristic wave band reflectivity difference value delta R, according to the comparison result of the time sequence change rate of the delta R and the preset threshold value, crop physiological changes and environmental interference are dynamically distinguished, and online calibration is achieved. A self-consistent calibration mechanism is constructed by means of the time sequence stability of crop spectral characteristics, the illumination mutation influence can be eliminated without depending on an external reference substance, and the accuracy of the calibration result is improved. And meanwhile, a lodging scene is effectively identified through synchronous analysis of a gravity vector and spectrum drift, so that the system can still keep accurate tracking of a real physiological state of a crop under an extreme working condition.

The invention discloses a high-detection-efficiency long-wave infrared spectrum imaging device and an imaging method, and belongs to the field of micro-nano optical design, the scheme is as follows: a metasurface spectrum modulation layer is composed of a square matrix formed by arranging a plurality of metasurface periodic units in sequence, and each metasurface periodic unit is composed of a plurality of metasurface structure units; each metasurface structure unit comprises a substrate and a plurality of nano columns, and the plurality of nano columns are distributed on the substrate in a C4 symmetrical structure; reverse design of the high-transmittance metasurface structure units is achieved through a particle swarm optimization algorithm, and structure parameters of the high-transmittance metasurface structure units are obtained; incident light passes through the metasurface spectrum modulation layer to realize spectrum coding, coding information is converted into an electric signal by a long-wave infrared focal plane detection pixel below, and a high-resolution long-wave infrared spectrum image can be reconstructed in cooperation with a deep neural network algorithm. The spectral imaging method provided by the invention is perfectly compatible with semiconductor and MEMS technologies, and long-wave infrared band spectral imaging with high detection efficiency is realized.

The invention provides a multi-source fusion spectrum cross-domain high-precision prediction method and system based on transfer learning. The method comprises the following steps: S1, acquiring spectrograms collected by a spectral imaging device under multiple wavelengths; s2, extracting various types of features from the spectrogram; s3, training a fusion model to obtain a trained fusion model; and S4, inputting a to-be-predicted spectrum into the trained fusion model, and outputting a result. According to the invention, 10 <-4 > nm-level wavelength prediction can be achieved in a common industrial camera system, and the level of a scientific research-level grating spectrometer (0.001-0.002 nm) can be reached / exceeded; on a narrow-band, middle-band and wide-band multi-scene cross-domain data set, the mean absolute error (MAE) can be reduced from the nanoscale to the magnitude of 10 <-4 > nm, and excellent robustness is kept under the conditions of noise, feature deficiency and few samples.

The invention discloses a hyperspectral fusion imaging method and device based on deep nonlinear transformation tensor low-rank representation, and the method comprises the following steps: collecting a priori multispectral image while collecting hyperspectral compression measurement in an observation scene, and taking the two data as input at the same time; based on tensor representation and deep learning theories, novel deep nonlinear transformation tensor low-rank regularization for the hyperspectral image is established, and global high-dimensional low-rank correlation of the hyperspectral image in a deep nonlinear transformation domain is fully described; taking the regularization item as a target function, modeling compression imaging and a spectrum degradation process into two data fidelity items, and constructing a fusion imaging model and a loss function; and minimizing a loss function through a learning algorithm to optimize the model, and fusing and reconstructing a complete hyperspectral image. According to the novel method and the novel device provided by the invention, high-precision fusion imaging of the observation scene can be realized without manual intervention and explicit intermediate steps.

The invention discloses a system for saline-alkali land farmland soil water and salt detection and drought and flood disaster early warning. According to the method, spectral information is extracted through a remote sensing image or an unmanned aerial vehicle image, and a salinity spectral index and a moisture spectral index are constructed. Meanwhile, the water content and the salt content of the soil at different depths are collected. Key spectrum variables are screened through an RXGBoost model, a salinity-moisture coupling relationship is synchronously calculated through a single model, and an independent calibration link is reduced for a calibration process. According to the method, a comprehensive and modular technical method and a solution are applied for the first time, maximum application of limited information is realized, and the technical requirements of efficient utilization, monitoring and management of irrigation water are met; and difficult points and key points coexist. Through deep coupling of theoretical innovation and system design, the system is realized in the field of saline-alkali soil irrigation: single data monitoring is transited to a multidisciplinary collaborative ecological hydrological theoretical system, a recessive water-salt interaction process is converted into modelable and controllable dominant decision parameters, and a systematic solution is provided for efficient utilization of saline-alkali soil agricultural resources.

The invention discloses a high geological disaster chain risk quantitative assessment method adapted to a high-cold and high-altitude environment, and relates to the technical field of geological disaster monitoring and prevention and control, and the method comprises the following steps: S100, building an irradiation and reflection combined observation layer, collecting the dynamic intensity of direct light and reflected light, generating an exposure time sequence fingerprint baseline, and obtaining an exposure time sequence fingerprint baseline; and determining a critical threshold value of the direct light intensity according to the base line. The method comprises the following steps: constructing an irradiation and reflection combined observation layer to extract light intensity characteristics, and generating an exposure time sequence fingerprint baseline; a trigger point boundary is extracted by adopting coherent phase decomposition and anti-fact playback, and a continuous track is reconstructed; the overexposure risk is predicted based on the time-frequency score, and spectrum gating and polarization rotation are linked to regulate and control the exposure rhythm; and reverse phase traction and phase conjugate intervention are implemented in a steady-state window, so that boundary information is maintained and the risk identification precision is improved.

One embodiment provides a compressive hyperspectral imaging system. The compressive hyperspectral imaging system can include a coded aperture configured to spatially encode an optical signal associated with a scene, an integrated photonic device configured to disperse the spatially encoded optical signal, and an array of photo detectors configured to detect the dispersed and spatially encoded optical signal. The output of the array of photo detectors is used for reconstruction of a hyperspectral image corresponding to the scene.

The invention relates to an optical satellite absolute radiometric calibration method, device and equipment under ocean low brightness based on an offshore pseudo-invariant field and a medium, and belongs to the technical field of in-orbit absolute radiometric calibration. According to the method, a marine pseudo-invariant field with stable water and atmospheric optical characteristics is determined according to marine observation data of a calibrated optical satellite, the off-water radiance of the marine pseudo-invariant field is calculated according to the chlorophyll a concentration of the marine pseudo-invariant field, the zenith radiance is theoretically calculated, a data source is provided for absolute radiometric calibration of a satellite to be calibrated, and calibration is completed. The method explores the potential of the marine pseudo-invariant field in supplementing the traditional radiometric calibration method, gets rid of the limitation of a fixed and single marine optical buoy MOBY site data source, improves the data volume, the coverage area and the acquisition frequency of effective calibration data, provides guarantee for the continuity of an optical satellite observation task, and has a wide application prospect. And a plurality of calibration sources can be utilized to realize rapid and accurate calibration of the optical satellite, so that the calibration efficiency of the offshore optical satellite is remarkably improved.

The invention discloses a method and a system for constructing a two-dimensional spectrogram reduction model of an echelle grating spectrometer, belongs to the technical field of two-dimensional spectrogram reduction of the echelle grating spectrometer, and solves the problem that an existing echelle grating spectrometer spectrogram reduction model shows relatively large errors in an inflatable broadband spectrum detection range. Establishing the position relation between the echelle grating diffraction Y-direction wavelength and the detector pixel; establishing a position relation between prism dispersion X-direction wavelength and a detector pixel; constructing a two-dimensional spectrogram reduction model of the echelle grating spectrometer based on the established position relationship between the diffraction Y-direction wavelength of the echelle grating and the pixel of the detector and the established position relationship between the dispersion X-direction wavelength of the prism and the pixel of the detector; and calibrating the two-dimensional spectrogram reduction model of the echelle grating spectrometer based on a standard light source, and optimizing optical structure parameters in the two-dimensional spectrogram reduction model to obtain an optimal two-dimensional spectrogram reduction model of the echelle grating spectrometer.

The invention discloses a spectral polarization imaging three-dimensional reconstruction method and device based on a pixel array, and a medium, and relates to the technical field of image processing, and the method mainly comprises the steps: collecting original images, which are fixedly obtained by pixels, of corresponding spectral bands and polarization angles; extracting sub-image information under each spectral band and polarization angle according to pixel positions, and stacking to generate a four-dimensional data volume; constructing a polarization geometric model according to the four-dimensional data body, and constructing an actual expression of the linear polarization degree in combination with a Fresnel reflection theory; constructing a redundant dispersion constraint equation and a theoretical expression of the relation between the diffuse reflection spectrum polarization degree and the incident angle and the imaging target refractive index; substituting the redundant dispersion constraint equation into a combined residual function of the theoretical expression and the actual expression, and performing parameter inversion on the combined residual function; and carrying out three-dimensional shape recovery under imaging target surface normal reconstruction based on an inversion result. According to the method, time delay and space registration errors caused by time-sharing acquisition are eliminated.

The invention discloses a visible light and short wave infrared common-aperture optical system which is used for solving the technical problem that an existing multi-band common-aperture optical system cannot meet the detection requirements of large view field, high resolution and high sensitivity at the same time. The optical system comprises a visible light optical system and a short-wave infrared optical system, and a primary reflector, a secondary reflector, a beam splitter prism, a visible light relay lens group and a first imaging unit jointly form the visible light optical system; and the primary reflector, the secondary reflector, the beam splitter prism, the short-wave infrared image space telecentric relay lens group, the view field divider and the N second imaging units jointly form a short-wave infrared optical system. The optical system disclosed by the invention shares the primary reflector and the secondary reflector, so that the focal length of the optical system is increased, and the requirement of high resolution is met; and meanwhile, the short-wave infrared optical system adopts the view field divider and N second imaging units, and the large-view-field and high-sensitivity infrared detection requirements of the optical system on a dark and weak target are met through splicing of N paths of view fields.

The invention discloses a non-ideal path radiation infrared hyperspectral remote sensing instrument non-linear correction method, aiming at the situation that partial radiation of a stationary orbit GIIRS enters a detector in a non-ideal path in a complex thermal environment, and initial correction is carried out on an original spectrum of a detection target based on a responsivity non-linear correction algorithm during radiometric calibration; during in-orbit operation, a linear calibration model is constructed through a two-point calibration algorithm, and the spectral response rate of the detector and the theoretical radiation spectrum of an observation target are obtained; based on a nonlinear correction spectral response rate and a theoretical radiation spectrum of an observation target, in combination with non-ideal radiation superposed by an original spectrum of the detection target and a fixed error which cannot be corrected by two-point calibration, a function relationship between radiation abutting against a detector in a non-ideal way and the original spectrum of the detection target is constructed; the non-ideal path radiation correction coefficient is obtained, non-linear correction is further carried out, non-ideal radiation errors which cannot be corrected by response rate non-linear correction are eliminated, and the radiation calibration precision of the target black body is improved.

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 spectrum confocal detection device with a high signal-to-noise ratio, which comprises a light source, and a first lens group, a transmission area of a light splitting component and a second lens group which are sequentially and coaxially arranged and are jointly used for guiding incident light emitted by the light source to the surface of a detected object after dispersion and focusing, and enabling light with a target wavelength to form a focusing light spot, the light of the non-target wavelength forms a dispersion light spot at a position different from the focusing light spot; and the second lens group, the reflection area of the light splitting component, the third lens group, the first spatial filtering structure and the spectrum acquisition unit are sequentially arranged according to the reflection light path and are used for receiving the reflection light reflected by the measured object, and the reflection light enters the spectrum acquisition unit after being reflected, focused and filtered so as to acquire spectrum information. The advantages of a triangular structure and a coaxial structure are combined, and the problem that an existing spectrum confocal detection system is affected by background light, so that the signal-to-noise ratio of an obtained spectrum is low can be solved.

The invention relates to the technical field of optical detection, and provides a relative spectral responsivity adjustable optical detector and a use method thereof, the detector comprises an acquisition module, a dispersion module, an adjustment module, a collection module and a detection module which are sequentially arranged along an optical path; the acquisition module is used for acquiring incident light and converting the incident light into divergent, converged or parallel light beams; the dispersion module is used for carrying out dispersion on the light beams output by the acquisition module and carrying out spatial separation on the multi-color light beams according to wavelengths to form dispersion light bands; the adjusting module can dynamically adjust the reflectivity or transmittance of the region corresponding to each wavelength; the collection module is used for converging the adjusted dispersion light band again and transmitting the dispersion light band to the detection module; the detection module is used for receiving the converged light beams and converting the light beams into electric signals. According to the optical detector with the adjustable relative spectral responsivity, by introducing the dispersion module and the adjusting module, light intensity distribution modulation of a dispersion light band is achieved, and the relative spectral responsivity of the detector can be adjusted according to needs.

The invention relates to the technical field of optical elements, systems or instruments, in particular to a temperature field testing method based on combination of colorimetric temperature measurement and multispectral imaging, and solves the technical problems of low temperature field temperature measurement reconstruction precision and low temporal-spatial resolution of an existing temperature measurement method. The method comprises the following steps: determining a spectral range and a temperature measurement range of a temperature field of a solid engine combustion chamber by utilizing an LIBS (Laser-induced Breakdown Spectroscopy) technology, coupling and packaging a multispectral optical filter and a CMOS (Complementary Metal Oxide Semiconductor) sensor, calibrating a multispectral camera by utilizing a blackbody furnace, and acquiring a spectral image of the temperature field by utilizing the multispectral camera. And obtaining a two-dimensional temperature field of the combustion chamber of the solid engine by using a colorimetric temperature measurement method, and performing comprehensive evaluation. According to the invention, multispectral information of the solid propellant combustion chamber flame can be obtained, and high space-time resolution detection of the two-dimensional temperature field of the solid engine combustion chamber is realized.

The invention relates to the technical field of power system equipment state monitoring and fault diagnosis, and discloses an arc light online monitoring method and system based on a spectrum sensing technology, and the method comprises the steps: arranging a first spectrum sensor and a second spectrum sensor corresponding to a detected target, and respectively detecting optical signals in different wavelength ranges; collecting optical data according to a set period, and identifying abnormal features according to a preset template; when the double abnormal features exist, the duration of the double abnormal features is calculated, and if the duration exceeds the corresponding reference duration, a duration reference value is generated; and performing weighted calculation on the time length analysis value, if the time length analysis value is within a preset range, giving a partial discharge abnormal prompt, and resetting the reference value. Multi-wavelength spectrum monitoring is utilized, non-contact and high-sensitivity detection of partial discharge is achieved, electrical equipment is prevented from being damaged, fault hidden dangers are found in time, and safe and stable operation of the equipment is guaranteed.

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 resolution-customizable micro spectrometer based on the transverse dispersion metasurface comprises a dispersion metasurface array structure and a focal plane pixel array, and the dispersion metasurface array structure comprises a plurality of dispersion metasurface sub-arrays which are distributed in an array mode and used for preliminary spectrum decoupling and directional convergence. The dispersion metasurface subarray comprises a plurality of dispersion metasurface units and all-dielectric substrates thereof, the dispersion metasurface units are nano-columns with four-fold symmetry, the nano-columns are periodically arranged, and the phase of transmission light is dynamically regulated and controlled according to the frequency omega of incident light. The focal position (x ', y') of the transmission light on the focal plane is in a linear mapping relation along with the change of the omega; the focal plane pixel array comprises a multi-element plane array composed of a plurality of pixels, and the multi-element plane array is in pixel-level registration with the dispersion metasurface sub-array. According to the invention, pixel-level precise condensation is realized, crosstalk is effectively inhibited, the detection precision is improved, and real snapshot spectral imaging is realized.

The invention relates to the technical field of images, and particularly provides a video-level spectral imaging system and imaging method based on compressed sensing, and the video-level spectral imaging system based on compressed sensing is used for shooting a target to obtain an original multi-spectral image. Each pixel in the original multispectral image comprises spectral information of one wave band, the spectral information corresponds to the spatial position of a spectral channel in the light splitting element, and the original multispectral image is subjected to convolution operation to obtain a preliminary pseudo panchromatic image; performing sharpening operation on each pixel of the preliminary pseudo panchromatic image to obtain a pseudo panchromatic image; obtaining a demosaicing residual error based on the original multispectral image and the pseudo panchromatic image; and finally, restoring the pseudo panchromatic image by using the demosaiced residual error to obtain a demosaiced single-spectrum image of each wave band. The spectrum channels are arranged on the target surface of the light splitting element in a pseudo-random mode, and all spectrum images are accurately and efficiently restored.

An optical device includes: a first optical system; and a second optical system. The first optical system includes a first light splitting device configured to split measurement light emitted from a first light source into a first measurement light and a second measurement light and then mix the split measurement light, a first mirror configured to add a first modulation signal by being moved in an entering direction of the first measurement light and reflecting the first measurement light, a second mirror configured to reflect the second measurement light, and a first light receiving device configured to receive the measurement light including a sample-derived signal and the first modulation signal and output a first light receiving signal. The second optical system includes a second light source configured to emit laser light, an optical modulator configured to add a second modulation signal to the laser light, and a second light receiving device configured to receive the laser light including a displacement signal generated by reflection on the first mirror and the second modulation signal and output a second light receiving signal.

The invention discloses a real-time automatic focusing hyperspectral acquisition method and a real-time automatic focusing hyperspectral acquisition device. The real-time automatic focusing hyperspectral acquisition method comprises the following steps: step 1, acquiring dark background pixel signals; 2, automatic focusing is carried out; 3, repeating the step 2 until the requirement is met, recording automatic focusing data, and performing spectrum acquisition to obtain original spectrum data; step 4, calculating a full-width object distance matrix of the original spectral data based on the phase difference finally obtained in the step 3; 5, correcting the original spectral data based on the full-width object distance matrix to obtain corrected spectral data; and step 6, calculating the corrected reference plate spectral data based on the corrected spectral data and the dark background pixel signal, calculating the reflectivity of the target object to be measured, and realizing real-time automatic focusing hyperspectral acquisition. The method innovates a phase difference analysis method, and efficiently processes light change and target offset in a dynamic scene; the combination of the two improves the focusing precision and stability, effectively solves the problem that the scanning target in the dynamic scene is liable to defocus, and achieves the efficient adaptation of the dynamic scene.