35results about How to "High 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 provides a hyperspectral water depth inversion method based on spectrum enhancement and a radiation transmission model. The method comprises the following steps: acquiring original hyperspectral data of a target area water body through a detector; performing noise reduction processing on the original hyperspectral data to obtain first hyperspectral data; performing spectral feature enhancement on the first hyperspectral data by adopting a spectral response function to obtain second hyperspectral data; carrying out radiation transfer calculation on the water body in the target area by adopting the water body radiation transfer model subjected to imaging observation geometric correction to obtain simulated hyperspectral data; and according to the second hyperspectral data and the simulated hyperspectral data, performing water depth inversion on the target area water body to obtain the water depth of the target area water body. According to the invention, the spectrum enhancement technology and the improved water body radiation transmission model are introduced, so that the precision and stability of hyperspectral water depth inversion are remarkably improved.

The invention discloses a frequency spectrum refining frequency point tracking type optical frequency domain reflection distributed sensing method, which comprises the following steps of: inputting probe light into a sensing optical fiber engraved with weak reflection points to obtain backscattered light; carrying out coherent frequency mixing on the backscattered light and the reference light, and then carrying out photoelectric conversion to obtain an electric signal containing weak reflection point information; aD sampling is carried out on the electric signal containing the weak reflection point information, and a first discrete signal sequence is obtained; performing frequency spectrum refinement on the first discrete signal sequence to obtain a refined beat frequency spectrum; performing peak searching operation on the refined beat frequency spectrum to obtain weak reflection beat frequency points at different positions in different measurement periods; extracting phase values of beat frequency points of weak reflection points at different positions in different measurement periods by utilizing Hilbert transform; and carrying out phase demodulation on the phase values of the beat frequency points of the weak reflection points at different positions in different measurement periods to obtain the change condition of parameters measured by the sensing optical fiber. Errors caused by the Doppler effect can be eliminated.

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 invention discloses an imaging spectrometer resolution optimization method based on a PGP model, and the method comprises the steps: respectively calculating a first emergent angle of a maximum incident angle passing through the PGP model and a second emergent angle of a minimum incident angle passing through the PGP model corresponding to a central wavelength spectral line, and determining a bending value of the central wavelength spectral line according to a difference value between the first emergent angle and the second emergent angle, and circularly calculating the angle values of the angle ranges of the first prism and the second prism according to the above steps according to a preset step length to obtain bending values of a plurality of central wavelength spectral lines, and then screening the bending values of the plurality of central wavelength spectral lines to obtain a minimum bending value. And finally, designing and manufacturing a PGP model according to the vertex angle value of the first prism and the vertex angle value of the second prism corresponding to the minimum bending value. According to the method, the condition that the top angles of the two prisms are the same can be calculated, and the condition that the top angles of the two prisms are different can also be calculated, so that the imaging spectrometer can still realize higher spectral resolution in a wider wavelength range.

The invention discloses a hyperspectral imaging device based on dual-channel optical path splicing laminated interference, which sequentially comprises a front imaging objective lens, a diaphragm, a collimator objective lens, a dual-channel optical path splicing laminated interference system, a liquid crystal polarization switch, a rear imaging objective lens and an area array detector along an optical path, wherein the dual-channel optical path splicing laminated interference module comprises a polarization splitting prism, a half-wave plate and a Savart single plate, different azimuth included angles are set for a birefringence device in a cutter, optical path difference adjustment corresponding to interference signals is realized, and two groups of interference signals are spliced to improve the spectral resolution index of the imaging system. Based on the technical thought of optical path difference interference modulation, a double-channel optical path splicing laminated interference method is utilized, and under the condition that the fringe contrast is guaranteed and the sampling law is met, the optical path difference of interference signals is increased, so that the spectral resolution is improved, and the hyperspectral imaging measurement performance is greatly improved.

According to the logarithmic scale adaptive multi-window power spectral density estimation method provided by the invention, the conicity degree is adjusted through the equilibrium relationship between the deviation and the variance, the problems of low resolution and high algorithm complexity of the existing adaptive sine window algorithm are solved, and the improvement of the adaptive sine window algorithm is realized. The method comprises the following steps: firstly, initializing conicity degrees, setting the conicity degrees at all frequencies as fixed values, and calculating a power spectral density initial value; secondly, cone degree gradient processing is carried out on low-frequency signals, the cone degree is smoothed through filters with different intensities at different frequency bands, and then the optimal cone degree of the whole frequency domain is obtained; and finally, carrying out iterative operation on the conicity degree and the power spectrum density to obtain an optimal power spectrum density estimation value. Compared with an LPSD algorithm, an adaptive sine window algorithm and an LISA-LPSD algorithm, the method provided by the invention has the advantages of high spectrum resolution, low algorithm complexity and the like.

The application discloses a power transformer fault sound print detection method based on an extreme learning machine, first, audio signals of transformer faults are collected for framing, and preprocessed through fast Fourier transform; then, sound print characteristic parameters of the audio signals are extracted through an improved Mel filter, a fault sound print detection model based on the extreme learning machine is constructed, and model training is conducted; finally, a test set is established, real-time test samples are input into the trained fault sound print detection model, test identification is conducted, sound print identification results of transformer faults are obtained, and real-time fault sound print early warning is realized. The improved Mel filter can improve the spectral resolution of transformer sound print feature extraction, reduce the system complexity, the fault sound print detection model is constructed through the extreme learning machine algorithm, the transformer fault detection accuracy is effectively improved, and the method is easy to implement in engineering.

The invention relates to a high-resolution spectral imaging device for monitoring atmospheric greenhouse gas, which is suitable for visible to infrared spectral imaging and consists of a wide-view-field small front-end system and a spectral imager. Incident light passes through the entrance slit, the optical filter and the first lens after passing through the front-end system, irradiates the off-axis concave reflector and is reflected to the plane grating, and the light dispersed after passing through the grating is close to a Littrow state and irradiates back to the off-axis concave reflector, so that a dispersed spectrum is converged to irradiate the mirror and passes through the second lens, and the spectrum is further focused to the detector. According to the invention, the problems of small detection breadth and low time resolution of an atmospheric greenhouse gas monitoring system in the prior art are solved. The invention has the advantages of large field of view, high spatial resolution (2km), high spectral resolution (0.05 nm-760nm), high time resolution (one day), compact structure and small volume, and can be applied to the field of aerospace remote sensing.

The invention relates to the technical field of photoelectric detection, and discloses a gradient band gap photodiode detector, a preparation method thereof and a reconstruction spectrometer. The preparation method comprises the steps of providing a substrate; forming a conductive layer on the surface of one side of the substrate; forming a first carrier transport layer on the substrate; forming an initial semiconductor photosensitive layer on the first carrier transport layer; immersing the substrate into the reaction solution along a first preset direction; pulling out the substrate from the reaction solution to form a gradient band gap semiconductor photosensitive layer; forming a second carrier transport layer on the gradient band gap semiconductor photosensitive layer; and forming a plurality of first electrode structures arranged in an array on the second carrier transport layer, and forming a second electrode structure connected with the conductive layer on the substrate. The gradient band gap semiconductor photosensitive layer and the first electrode structure of the array form a photodiode array photoelectric detector array, different spectral responses and wide dynamic response ranges are achieved, and the linear solution accuracy and spectral resolution of a spectrum reconstruction algorithm are improved.

The invention discloses a broadband spectrum integrated spectrometer based on coupling of a waveguide grating and a scattering array, one side of an optical waveguide is etched with the waveguide grating, and the outer side of the waveguide grating is provided with the scattering array. The CMOS detector is used for detecting the spatial distribution of the scattering light intensity of the scattering array and reconstructing an incident spectrum by using the light intensity distribution. Wherein the waveguide grating adopts a waveguide grating with a gradual change period, and the Bloch mode of incident light with different wavelengths is localized at different spatial positions of the waveguide grating. The scattering array comprises scattering units, the scattering units are distributed in an array mode, each scattering unit is composed of nanorods arranged in a 2 * 2 matrix mode, and the radiuses of the nanorods of the scattering array gradually change in the extending direction of the optical waveguide. According to the invention, the Bloch mode local area of the waveguide grating and the scattering array resonance of the nanorod array are combined, the problem that the resolution precision of a traditional spectrometer is limited by the volume is solved, and the integrated spectrometer with high resolution capability and wide spectral range is realized.

The present invention discloses a method for realizing wide-band hyperspectral detection based on a coded spectrum device, comprising: a coded spectrum array module, a light field-like imaging module and a segmented compressed sensing processing module. The coded spectrum array module is used as a front module to perform structural arrangement of the filter array and spectrum coding design; the light field-like imaging module is used as an optical system to perform compressed sampling in conjunction with the coded spectrum array module; the segmented compressed sensing processing module uses anti-noise clustering and greedy iterative algorithms to reconstruct the sampled image, and finally obtains hyperspectral data. This method does not require complex optical path design, simplifies the system, and reduces costs; and its coding solution is simpler and more accurate, and the detection spectrum can be greatly broadened through structural design.

The present invention discloses a staring type confocal microscopic morphology spectrum four-dimensional detection system, comprising an excitation unit, a front optical unit, a microscopic imaging unit, a middle scanning unit, and a rear receiving unit; the excitation light of the sample to be tested is introduced from the excitation unit and incident on the middle scanning unit; the galvanometer system of the middle scanning unit performs two-dimensional scanning, and the emitted excitation light is incident on the microscope objective lens after being reflected by a beam splitter, and focuses on the sample to be tested; the reflected light forms a conjugate microscopic image after imaging; after the signal fluorescence or reflected light returns, one path is finally emitted to an external photodetector, and the other path of signal fluorescence or reflected light is incident on a hyperspectral spectroscopic module to form a fluorescence spectrum or a reflection spectrum. The system fuses three-dimensional microscopic morphology and fluorescence or reflection spectrum data into four-dimensional spectral morphology microscopic data, has extremely high spectral resolution and depth resolution, and has great application value in measurement fields such as in-situ microbial detection and industrial sample microstructure detection.

This invention discloses a snapshot-type hyperspectral three-dimensional skin imaging method and device, belonging to the field of biomedical imaging technology. The method includes: constructing a snapshot-type spectral-light field coupled imaging system containing a light source and an acquisition model; achieving full-domain skin illumination with broadband illumination; synchronously coupling and acquiring spectral and three-dimensional spatial information through the synergistic action of a lens group and a hyperspectral sensor to generate spectral coupled light field data; establishing a correlation dataset between the spectral coupled light field image and the hyperspectral light field image; training a spectral reconstruction network and solving the data; reconstructing the hyperspectral light field image and obtaining multi-view images through macro-pixel sampling; using a light field super-resolution network to improve image resolution; selecting the optimal skin penetration band image for stereo matching to obtain a target band depth map; and fusing the high-resolution center-view images from each channel with the target band depth map to complete the generation of a hyperspectral three-dimensional image. This invention achieves single-exposure hyperspectral three-dimensional imaging of the superficial skin layer.

The invention provides a unified framework incremental learning remote sensing scene classification method and system, and belongs to the technical field of image processing. Comprising the steps of unified database construction, unified backbone network, classification header network model construction, unified hyper-parameter construction, linear programming incremental learning supervised training normal form network training, classification prediction result output and unified model verification. According to the method, a unified remote sensing image classification model framework normal form can be constructed, the framework supports embedding of various models, so that the models are accurate, universal and easy to verify, various modal data are supported to serve as model input, and the universality of the framework is remarkably enhanced; and meanwhile, a supervised learning training normal form based on linear programming incremental learning is designed, so that the model can be subjected to continuous fully supervised training on a large-scale heterogeneous data set, and the generalization of the model is enhanced.

The invention discloses a coding multilayer film filter array structure, a spectral imaging chip and a preparation method of the spectral imaging chip. The coding multilayer film filtering array structure comprises a plurality of filtering units which are arranged in an array along a working plane, each filtering unit comprises a plurality of dielectric layers and metal layers which are arranged in a stacked mode in the specified direction, and at least one dielectric layer is distributed between every two adjacent metal layers; different filtering units have different codes, and each code is related to the number of the metal layers contained in the corresponding filtering unit and / or the positions of the contained metal layers in the specified direction; the numbers of the dielectric layers contained in different filtering units are the same, and each dielectric layer in each filtering unit and a corresponding dielectric layer in the other filtering units are distributed on the same layer plane; the specified direction is perpendicular to the working plane and the layer plane. The coding multilayer film filtering array structure has the advantages of being flat in structure, easy to process and capable of effectively improving the spatial resolution and the spectral resolution of a spectral imaging chip.

The application relates to a miniature spectral imaging chip and a miniature imaging spectrometer, and belongs to the technical field of spectral imaging. The chip comprises, from top to bottom, an optical filtering layer, an image sensing layer and a signal processing layer. The optical filtering layer is composed of a transparent medium substrate and a plurality of different micro-nano structure units, each of which comprises a plurality of micro-nano structure arrays. The micro-nano structure arrays are single-layer or multi-layer structures. Each micro-nano structure unit covers a single or multiple photosensitive pixel units on a photodetector array layer. The area of the photodetector array layer covered by the micro-nano structure unit is a spectral chip area. The image sensing layer comprises the photodetector array layer and a metal circuit layer arranged on the photodetector array layer. The application realizes high spectral resolution and high image resolution in a very small volume.

The present invention discloses a ground-based hyperspectral remote sensing system for rapid high-resolution imaging of trace components in the atmosphere of multiple components, a carrying platform, a shell carried by the carrying platform and capable of height adjustment and all-around rotation, and a scene sensing device, a front optical subsystem, a spectroscopic and detection subsystem, a collection control terminal, and an inversion calculation terminal are mounted outside the shell. The system has extremely high spectral resolution and advanced inversion processing algorithms, overcomes the drawbacks of applying two-dimensional imaging spectroscopy technology to VOCs component monitoring, obtains the concentration of each pollutant component and smoke plume diffusion information in real time, and can trace the source based on the concentration results and image information.

The invention belongs to the technical field of imaging spectroscopy, and particularly relates to a common prism type planetary spectral imaging system. The system comprises a visible light imaging lens group, an ultraviolet light imaging lens group, a common prism, an optical filter and a photoelectric detector, two-dimensional image information and one-dimensional spectral information of planetary geology enter the common prism through a visible channel and an ultraviolet channel at the same time, the common prism provides a transmission-type straight-through optical path for the visible channel and provides a periscope-type turning optical path for the ultraviolet channel, and the optical filter and the photoelectric detector are arranged on the common prism. The focal plane is partitioned by adopting a strip coating mode, so that the acquisition of ultraviolet-visible light spectrum information is realized. The common prism type planetary spectral imaging system has the advantages of high spectral resolution, high stability, wide detection, small system size, light weight and the like, and is suitable for deep space detection load.

The application discloses an infrared in-situ transmission sample assembly and an infrared transmission detection system. The infrared in-situ transmission sample assembly comprises a temperature-controllable heating tube, a metal tube sleeve and a sample support. The temperature-controllable heating tube comprises a tube main body. The metal tube sleeve comprises a main tube sleeve which is inserted into the tube main body and is electrically connected with a temperature controller. The sample support comprises a support main body which is inserted into the main tube sleeve and has a tubular structure with open ends. A groove is formed in one end of the support main body along the side surface, and the groove is used for inserting a sample to be measured so that the sample to be measured is in the pipeline of the support main body. The sample assembly can directly place the sample without loading or clamping other window materials, can avoid the breakage of the sample, is beneficial to the evaporation of a small amount of water vapor in the heating process, and thus can avoid the interference of water vapor in the measurement process. The application provides a more accurate and reliable sample accessory for the measurement and analysis of the infrared transmission spectrum.

The application provides a handheld multispectral imager, which comprises an image sensor, the image sensor comprising a pixel photosensitive unit, a light splitting structure, a transition layer, a first, a second and a third cut-off filter film, the narrow-band filter film in the light splitting structure being integrally deposited and grown on the pixel photosensitive unit, the transition layer being integrally deposited and grown on the narrow-band filter film, the first cut-off filter film being integrally deposited and grown on the narrow-band filter film, the transition layer being used for transitioning the two film systems of the narrow-band filter film and the first cut-off filter film, the second cut-off filter film being arranged on the first cut-off filter film, and the third cut-off filter film being arranged on the second cut-off filter film, the first, the second and the third cut-off filter films being respectively used for cutting off first, second and third interference wave bands. The technical scheme of the application is used to solve the technical problems of low spectral transmittance and low quantum efficiency caused by the cut-off filter film pasting mode in the prior art.

The invention provides a snapshot type spectral imaging system and method based on spatial spectrum hybrid coding. The system comprises a spatial spectrum hybrid coding imaging module and a decoding reconstruction module. Wherein the spatial spectrum hybrid coding imaging module sequentially comprises a filtering module used for filtering wave bands outside a working wave band range; the spectrum hybrid modulation module is used for applying composite modulation to an incident light field through multiplexing to obtain a hybrid modulation light field; the spectral filtering array module is used for performing pixel-level spectral filtering on the hybrid modulation light field in a spatial dimension; and the gray level acquisition module is used for capturing the mixed light field coded by the spectrum filtering module to obtain a two-dimensional measurement value. And the decoding reconstruction module is used for reconstructing a spectral image from the two-dimensional measurement image. According to the invention, the spatial and spectral information is synchronously obtained in single exposure, the joint optimization of the spatial resolution and the spectral resolution is realized, and a solution is provided for the problem of balancing the spatial resolution and the spectral resolution of a snapshot spectral imaging system.

The present application relates to the field of geological mapping technology, and specifically to a hyperspectral remote sensing geological mapping control system and method, the method comprising: continuously collecting the same geology to obtain each frame of remote sensing grayscale image; determining the local grayscale difference between any non-edge pixel and any edge pixel in each frame of remote sensing grayscale image; determining the first grayscale distribution coefficient and the second grayscale distribution coefficient of each frame of remote sensing grayscale image; determining the quality assessment coefficient of each frame of remote sensing grayscale image; determining the edge distribution coefficient of each frame of remote sensing grayscale image; determining the edge contribution weight of each frame of remote sensing grayscale image; determining the anti-noise ability coefficient of each frame of remote sensing grayscale image; determining the clarity assessment index of each frame of remote sensing grayscale image; obtaining the best remote sensing grayscale image, deblurring it, and obtaining a hyperspectral remote sensing geological mapping image. The present application can improve the image quality of hyperspectral remote sensing mapping images and ensure the effect of improving both spectral resolution and spatial resolution.

The present invention discloses a wide coverage, high-resolution greenhouse gas imaging spectrometer and its application. The optical system of the spectrometer includes a reflective front telephoto objective and a collimating lens, as well as a multi-channel independent spectroscopic imaging device. Multiple spectral channels share the front telephoto objective and the collimating lens, and there is no need to consider the spatial alignment problem. The structure is a three-reflector structure; the spectroscopic device adopts a near-Littrow mount, prism + prism grating + prism structure, with a reflective immersion grating for spectrometry, and a wedge prism to assist in dispersion and distortion correction; the imaging device adopts a transmission Pittswan structure. The spectrometer provided by the present invention has the advantages of wide coverage, low distortion, large relative aperture, high transmittance, and high resolution, and can be used for high-precision quantitative detection of four different types of greenhouse gas concentrations at the same time.

The invention discloses a light and small infrared imaging spectrometer suitable for an unmanned aerial vehicle, and relates to the technical field of infrared imaging spectrums. The spectrometer is sequentially and optically connected with a front optical system, a slit, a PGP light splitting assembly, a rear optical system and a background suppression type detector in the infrared light propagation direction. The front optical system collects target infrared light and collimates the target infrared light; the slit limits the line view field range, and the spatial resolution of spectral imaging is guaranteed; the PGP light splitting assembly performs high-precision light splitting imaging on the light beams; the rear optical system is used for imaging spectral information after light splitting to a detector; the surface of the background suppression type detector is plated with a gradual filter, and the background suppression type detector is used for receiving spectral signals and suppressing normal-temperature background radiation. Through the collaborative design of high-precision spectral imaging of the PGP and narrow-band filtering of the background suppression type detector, a low-temperature refrigeration device is not needed, the system has the characteristics of light weight and low power consumption, the portability and environmental adaptability are improved, and the system is suitable for scenes such as unmanned aerial vehicle carrying and field detection.

The invention relates to the technical field of spectral analysis, in particular to a phase noise power spectrum analysis-based high-resolution coherent spectrum reconstruction method, which comprises a coherent spectrometer system, the coherent spectrometer system comprises a light path, a photoelectric conversion part and a data processing part, the light path part comprises linear chirp local oscillator light and a to-be-measured optical signal, and the photoelectric conversion part comprises a phase noise power spectrum; the linear chirp local oscillator light and the optical signal to be measured are respectively connected with an optical isolator, and the two optical isolators are communicated with the optical fiber coupler. The photoelectric conversion part comprises a balanced photoelectric detector, the upstream of the balanced photoelectric detector is communicated with the photoelectric coupler, and the downstream of the balanced photoelectric detector is communicated with the low-pass filter; and the data processing part comprises data acquisition, time domain Fourier transform, time domain spectrum superposition and spectrum reconstruction of a signal to be measured. Compared with a traditional coherent spectrometer system, the structure of the coherent spectrometer system is more simplified, and the limitation that the spectral resolution of a traditional coherent spectrometer depends on the frequency and bandwidth of a narrow-band filter is broken through.

An MIM structure optical filter is characterized in that a bottom Ag layer, a ZrO2 thin film and a top Ag layer are sequentially attached to the surface of a substrate, the ZrO2 thin film is prepared from ZrO2 photosensitive ink through an optical patterning method, and the ZrO2 photosensitive ink is a ZrO2 nanoparticle N, N-dimethylformamide solution added with 1-diazo-2-naphthol-4-sulfonic acid; the invention relates to a preparation method of an MIM structure optical filter, which comprises the following steps: sequentially evaporating Ag on a substrate, forming a patterned ZrO2 film by using an optical patterning method, evaporating Ag again, repeatedly coating the ZrO2 film before evaporating Ag again, and forming a multispectral optical filter array through an optical patterning process. The optical filter of the MIM structure has the advantages of being high in discrimination rate, easy in wavelength tuning, simple in process, low in cost, high in stability, wide in spectrum application range and the like. The preparation method of the optical filter of the MIM structure can be well applied to production and application of MIM structure monochromatic optical filters and MIM structure multispectral optical filter arrays.

The invention discloses a visible infrared hyperspectral imaging device and method, and the device comprises an FPI light filtering assembly and an RGB image sensor, and is characterized in that the device also comprises a filtering part and a main control unit, and the filtering part is connected with the main control unit; the filtering component comprises at least two optical filters containing different light transmission range parameters or at least two light sources containing different wavelength range parameters; the main control unit is configured to be used for switching the optical filter or the light source in the filtering component and controlling the mirror surface of the FPI filtering assembly to move under the corresponding optical filter or the light source, continuous spectral image output of 400-lambda nm is achieved, and lambda is larger than 780 nm and smaller than or equal to 1000 nm. And the mirror surface spacing of the FPI light filtering assembly is matched with the switching light filter assembly / light source assembly, so that the influence of a secondary peak can be effectively eliminated.

The present invention relates to the field of optical detection, and in particular to a spectral confocal displacement measurement system and a measurement method based on wavelength modulation. The measurement system includes a tunable laser, a dichroic mirror, a dispersive lens, a pinhole, a photodiode and a modulator; the tunable laser is used to output laser light; the modulator is used to calculate the wavelength modulation function of the tunable laser according to the nonlinear relationship between the wavelength of the dispersive lens and the axial focusing position, and the output wavelength of the tunable laser is nonlinearly modulated by the wavelength modulation function, so that the change rate of the output wavelength of the tunable laser is adapted to the axial resolution of the dispersive lens; the dichroic mirror is used to reflect and transmit the light beam; the dispersive lens is used to disperse the light beam and focus it to different positions of the sample; the photodiode is used to receive each beam of reflected light reflected by the sample and convert the optical signal into an electrical signal; the pinhole is used to suppress defocused light. The present invention can improve the measurement accuracy and the stability of the measurement results.