2057results about "Spectrum investigation" patented technology

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 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 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 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.

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.

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.

The invention discloses an ultra-high-speed imaging device based on acousto-optic filtering modulation. The ultra-high-speed imaging device comprises a spectrum modulation system, a spectrum imaging system and a data processing system. The spectrum modulation system utilizes an acousto-optic tunable filter (AOTF) to dynamically modulate broadband continuous spectrum light, narrow-band illumination light which rapidly changes along with time is generated, and time information of a dynamic scene is effectively mapped to a spectrum dimension. And the spectral imaging system images the spectral coded dynamic scene to the hyperspectral camera to realize acquisition of spectral space-time information. The data processing system performs spectral crosstalk correction, channel separation and demosaicing reconstruction on the acquired original mosaic image, and recovers a time sequence image according to a spectrum-time mapping relation, thereby realizing single-shot superspeed imaging in a dynamic process. The device has the advantages of being simple and compact in structure, flexible in time window, high in imaging fidelity and the like, and has wide application prospects in the fields of rapid dynamics such as microfluidics, laser processing and ultrafast physics.

The invention provides an imaging spectrometer motion compensation imaging model construction method, an imaging model and a device, and relates to the technical field of space remote sensing. The method comprises the following steps: establishing a satellite orbit model, and defining a plurality of coordinate systems such as a detector coordinate system and a spectrometer imaging coordinate system and a conversion relation thereof; constructing a detector-scanning mirror-lunar surface ideal geometric mapping model based on the load optical parameters and a ray tracing method; determining the relation between the rotation angle of the scanning mirror and imaging spectrum view field positioning by using a reflecting prism conjugation theory; a quantitative relation is established by combining parameters such as satellite orbits and position postures, and finally a motion compensation imaging model is established. According to the method, the influence of the on-orbit error on the compensation imaging model is analyzed, and the error is used as an uncertainty component to be coupled into the model. According to the method, the problems of low model precision, neglect of influence of orbit observation parameters on imaging and the like in the prior art are solved, high-precision motion estimation and compensation can be realized, and the quality of data acquired by an imaging spectrometer is remarkably improved.

The invention discloses a reconstruction spectral imaging system based on an electromagnetic drive Fabry-Perot resonant cavity, and belongs to the field of spectral imaging. The system comprises an optical lens group, an electromagnetic driving device, a Fabry-Perot resonant cavity, a photoelectric detection array and a calculation unit, the cavity length of the Fabry-Perot resonant cavity can be adjusted through the electromagnetic driving device. The optical lens group receives light reflected or emitted by an external to-be-measured target scene and carries out collimation processing, and then the light enters the Fabry-Perot resonant cavity. The Fabry-Perot resonant cavity screens the incident light based on the resonance condition of the cavity length of the Fabry-Perot resonant cavity, and the screened light is emitted to the photoelectric detection array; the photoelectric detection array converts the incident light intensity into an electric signal and outputs the electric signal to the calculation unit; and a spectrum reconstruction model is built in the calculation unit, and a hyperspectral image of the to-be-measured target scene is obtained by using the spectrum reconstruction model based on the electric signal. The working range and the spectral imaging precision of the spectral imaging system based on the Fabry-Perot resonator are improved, the technological requirements are reduced, and the engineering applicability of the spectral imaging system based on the Fabry-Perot resonator is improved.

The invention provides a vacuum ultraviolet deuterium lamp spectral radiance traceability method, device and equipment, and relates to the technical field of optical metrology. The method comprises the following steps: determining relative spectral distribution of a deuterium lamp in a vacuum ultraviolet band; acquiring the spectral radiation brightness of the deuterium lamp at 200nm under the condition that the black body is used as a standard radiation source; and determining the spectral radiation brightness of the deuterium lamp in the vacuum ultraviolet band according to the relative spectral distribution of the deuterium lamp in the vacuum ultraviolet band and the spectral radiation brightness of the deuterium lamp at 200nm. The method provided by the embodiment of the invention efficiently and accurately realizes the spectral radiance traceability of the vacuum ultraviolet deuterium lamp.

The invention provides a spectrograph wavelength calibration method, device and equipment and a medium, and the method comprises the steps: obtaining the spectral data of a spectrograph at different temperatures, and obtaining the spectral data of the spectrograph at different temperatures according to the pixel positions of a characteristic wavelength point at different temperatures and the pixel position of the characteristic wavelength point at a preset reference temperature; determining the pixel position offset of the characteristic wavelength point at different temperatures, and calibrating the wavelength of the spectrograph according to the pixel position offset of the characteristic wavelength point at different temperatures; in the process of calibrating the wavelength of the spectrograph, the wavelength drift caused by the pixel position offset of the characteristic wavelength point at different temperatures is fully considered, the output error of the wavelength of the spectrograph is reduced, and the wavelength output accuracy of the spectrograph is improved.

The present invention initially relates to a method for the technical design of an analytical device for the spectral analysis of a sample (02). The analytical device comprises a spectrometer having a plurality of measurement channels for selected frequencies according to a trained model. The analytical device is configured to apply a trained reconstruction model to reconstruct a spectrum based on individual measured values ​​(06) recorded with the spectrometer for the selected frequencies. According to the method, a first machine learning system formed jointly by the model of the spectrometer and the reconstruction model is trained (13, 14), whereby the trained model of the spectrometer and the trained reconstruction model are obtained. The invention further relates to a computer program product, a trained machine learning system, and an analytical device.

The invention provides a compact hyperspectral imager optical system and an imaging method thereof, which are used for solving the technical problems that the overall size of a front telescopic assembly in a traditional hyperspectral imager optical system is difficult to compress, the installation and adjustment difficulty is relatively large, or the incident energy is lost and the space coverage capability is insufficient. And the technical problems of low energy utilization rate and difficulty in improving the sensitivity and the signal-to-noise ratio of the hyperspectral imager of the traditional Dyson type dispersion light splitting assembly are solved. The invention provides a compact hyperspectral imager optical system, which comprises an off-axis two-image-reflection telecentric optical path system based on a free-form surface and a Dyson light splitting system based on a curved surface prism, and realizes high regulation and control capability on light through multiple degrees of freedom of a curved surface shape. Compared with the prior art, the high-spectral imaging device has the advantages that the high-spectral imaging device is simple in structure, high image quality, small distortion and good telecentricity are achieved, meanwhile, the curved prism serves as a dispersion light splitting element, the whole spectrum has high light splitting efficiency, and the signal-to-noise ratio and sensitivity of the high-spectral imaging device can be improved.

The invention discloses a scanning high-resolution double-optical-comb spectrum system based on Raman gain modulation. The method is suitable for real-time spectrum detection with a wide spectrum range and high spectral resolution. The system comprises a single-frequency laser and driver, an optical coupler, a mode-locked laser, a rare earth doped amplifier, a wavelength division multiplexer, a Raman gain fiber, a sample to be tested, a photoelectric detector, a data processor and a wavemeter. The single-frequency laser couples part of light to the wavemeter, and the remaining light is divided into two paths to be coupled with the two amplified mode-locked lasers to enter the Raman gain optical fiber for Raman gain modulation and is converted into high-mutual-dryness double optical combs. The double combs pass through a to-be-measured sample in a combined manner, and interference signals are measured by the photoelectric detector and received by the data processor. And meanwhile, the processor sends a tuning signal to the single-frequency laser driver, so that the double combs scan in a wide spectrum range to obtain high-resolution spectrum information. Electrical feedback locking is not needed, and high-precision spectrum acquisition with megahertz resolution in a terahertz range can be completed within a few minutes.

The invention discloses a background spectrum accurate acquisition method for infrared remote measurement in a complex scene, and the method comprises the steps: carrying out the division of sky and ground object backgrounds for an input background image, and selecting different radiation spectrum generation modes based on a division result; if yes, sky radiation spectrum extraction is carried out based on an MODTRAN radiation transfer model; if the background is judged to be a single ground object background, performing background spectrum extraction by adopting ELM-EMD (Extreme Learning Mode-Empirical Mode Decomposition) which is extracted in real time based on a measurement spectrum and changes slowly at low frequency; and if the background is not single, fusion of the two spectrum extraction modes is adopted. The method has the advantages that the background classification method with the visible image as the reference is adopted, the difference of infrared radiation characteristics of the sky background and the ground feature background is analyzed, different spectrum extraction modes are selected according to the difference, and therefore accurate obtaining of the target smoke plume transmittance spectrum is achieved.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The invention discloses a laser speckle testing device based on hyperspectral imaging, which realizes high-precision measurement of laser spots and speckle signals under the condition of not depending on an expensive refrigerating system by optimizing an optical structure and a control strategy. The device comprises an imaging lens, a lens electric control module, a liquid crystal tunable optical filter module, an ND filter wheel, a driving mechanism of the ND filter wheel, a two-dimensional image sensor, a main control unit, a three-axis acceleration sensor, a PC host and a tested screen. A noise calibration piece preset in an ND filter wheel is used for collecting noise data in real time before each time of measurement, and noise deduction is carried out before the filter is switched, so that the timeliness and accuracy of data correction are improved; meanwhile, the integrated three-axis acceleration sensor is used for monitoring vibration, and when vibration exceeding a preset threshold value is detected, it can be judged that currently collected data is invalid, and re-collection is automatically triggered. The device is compact in structure, low in cost and suitable for the fields of laser display, projection calibration, high-brightness light source detection and the like.

The invention discloses an optical computing array based on micro-ring resonators without a free spectral range, which comprises an on-chip wavelength division multiplexing beam splitting array, an on-chip intensity modulation array, two groups of on-chip wavelength division multiplexing beam combining arrays and an on-chip balance detector, the on-chip wavelength division multiplexing beam splitting array and the on-chip wavelength division multiplexing beam combining array are respectively composed of a group of multiple FSR-free MRRs which share the same bus optical waveguide, each resonator corresponds to an independent wavelength channel, and the on-chip intensity modulator array is composed of a plurality of groups of on-chip MZI modulator arrays. According to the optical calculation array implementation method, independent control and coding calculation of different wavelength channels in a broadband wavelength range are realized by utilizing the single harmonic peak characteristic of the FSR-free MRR array and the wide-spectrum intensity modulation function of the MZI unit, the limitation of a free spectrum range on the optical calculation wavelength channel is eliminated, the higher wavelength parallelism is achieved, and the optical calculation array implementation method has the advantages of being simple in structure and convenient to implement. And therefore, the calculation scale is remarkably improved.

The invention discloses a field-of-view self-stabilization and self-adjustment hyperspectral camera system and a control method, and relates to the technical field of hyperspectral imaging. The system comprises a first imaging lens group, a movable slit, a two-dimensional linear driver, a slit outer layer light shield, a collimating lens group, a light splitting element, a second imaging lens group, an area array image sensor, an attitude sensor and a control acquisition circuit. Angle disturbance is obtained in real time, two-dimensional compensation displacement of the slit is calculated to drive the slit to move reversely, field-of-view collection is kept basically constant, collection is triggered according to a set rhythm, slit position and attitude data are recorded synchronously, and the pre-calibrated slit position and mapping of original coordinates and ideal coordinates are combined, so that field-of-view collection is completed. Geometric transformation and resampling dynamic correction are carried out on view field inclination aberration and spectrum bending aberration generated along with slit position changes, the environmental adaptability and reliability are improved, a hyperspectral data cube with accurate space coordinates and a stable spectrum curve is output, and the method is suitable for unmanned aerial vehicle-mounted hyperspectral remote sensing.

A photonic crystal optical filter and a spectrum detection system, the photonic crystal optical filter comprising: a photonic crystal portion comprising a plurality of photonic crystal units, each photonic crystal unit comprising a plurality of through holes arranged in an array, each photonic crystal unit comprising a central region and a peripheral region, the plurality of through holes comprise a first through hole in the central area and a second through hole in the peripheral area; the central area comprises Na * Na first through holes, and Na is a positive integer greater than or equal to 5; the number of the second through holes in each edge of the peripheral area is Na * Nb, wherein Nb is a positive integer greater than or equal to 1; the minimum distance between every two adjacent first through holes is a first distance Da, the minimum distance between every two adjacent second through holes is a second distance Db, the minimum distance between the first through holes and the second through holes is a third distance Dg, Na * Da + Nb * Db + Dg is smaller than or equal to 10 micrometers, and the spectrum detection system has the advantages of being high in detection precision, small in structural size, stable in structure and the like.

The embodiment of the invention discloses a self-propelled hyperspectral imaging control method and system. The method comprises the following steps: based on an ultra-wideband wireless multilateral positioning method, acquiring ultra-wideband positioning information corresponding to a self-propelled hyperspectral imaging platform, and acquiring relative positioning information and a platform high-frequency vibration signal; based on a Bayesian fusion method, carrying out weighted fusion processing on the ultra-wideband positioning information and the relative positioning information; obtaining deformation data corresponding to the platform based on strain gauges arranged at a plurality of key positions of the platform; and according to the fused positioning information, the deformation data and the high-frequency vibration signal of the platform, performing adaptive closed-loop control on the platform so as to complete path correction of the platform, structural deformation offset, intelligent damping design between a vibration sensor and a pneumatic tire, and vibration compensation processing on a hyperspectral imaging module of the platform. According to the embodiment of the invention, the imaging precision is improved while the navigation positioning precision is improved.

An endoscopic imaging system for use in a light deficient environment includes an imaging device having a tube, one or more image sensors, and a lens assembly including at least one optical elements that corresponds to the one or more image sensors. The endoscopic system includes a display for a user to visualize a scene and an image signal processing controller. The endoscopic system includes a light engine having an illumination source generating one or more pulses of electromagnetic radiation and a lumen transmitting one or more pulses of electromagnetic radiation to a distal tip of an endoscope.

The invention discloses a traditional Chinese medicine detection device based on visual analysis, and relates to the technical field of traditional Chinese medicine visual detection, the traditional Chinese medicine detection device comprises a machine body, an operation table, a display screen, an indicator light assembly, a conveyor belt assembly, a positioning groove, a multispectral image acquisition assembly, a laser displacement sensor and a detection analysis calculation assembly, wherein the detection, analysis and calculation assembly comprises an acquisition module, a processing module, a calculation module and a judgment module, and the calculation module comprises a feature unit, a defect unit and a comprehensive analysis unit. According to the method, defect features are captured in multiple dimensions through the feature unit, accurate initial features are provided, the defect unit is coupled with physical and environmental parameters, similar defects are distinguished from a physical mechanism, the type judgment accuracy is improved, the comprehensive analysis unit is fused with feature strength, type confidence and quality influence parameters, full-dimension quality grade evaluation is achieved, and the method is suitable for large-scale popularization and application. The inherent quality is associated, and a scientific basis is provided for defect grading of the traditional Chinese medicine tablets.

The embodiment of the invention provides a spectrum red shift measurement method, device and equipment and a medium, which can be applied to the fields of astronomical information technology and high-performance computing technology, and the method comprises the following steps: receiving N observation spectrum data to be measured; determining a processing mode of the observed spectrum data; in response to the processing mode being a first processing mode, processing the observation spectral data through a first calculation path, the first calculation path performing red shift measurement calculation based on a first numerical calculation library by matching the observation spectral data with a set of template spectral data to obtain a calculation result, the calculation result of the first numerical calculation library is consistent with the calculation result of a reference algorithm within a preset precision range; in response to the processing mode being a second processing mode, the observed spectral data is processed through a second computational path that reconstructs the redshift measurement calculations into a tensor parallel model based on a second library of numerical calculations and performs on parallel computing hardware, the second library of numerical calculations supporting tensor calculations.

An imaging system includes: an illuminator that outputs illumination light to be radiated onto a target object; an imager that receives reflected light originating from the illumination light and coming from the target object and generates a compressed image in which image information of wavelength bands included in a target wavelength range is compressed as one piece of image information; and a processor that generates reconstructed images based on the compressed image, each reconstructed image corresponding to a different one of the wavelength bands. The wavelength bands include a first wavelength band and a second wavelength band. A light intensity in the first wavelength band included in the illumination light and a light intensity in the second wavelength band included in the illumination light are different from each other.

The invention discloses a terahertz spectrum chip, and belongs to the field of terahertz technology and micro-nano electromechanical systems. According to the invention, a spectral resolution microstructure is directly integrated on a focal plane array detection structure, so that chip-level spectral decoding is realized, the size of the system is remarkably reduced, and the system has excellent miniaturization and on-chip characteristics and is suitable for portable and embedded application scenes; the back of the focal plane array detection structure is provided with a signal reading pin or an interconnection layer to be connected with a spectrum extraction module, spectrum information is extracted, a delay line or a frequency scanning device dependent on a traditional terahertz spectrum system is not needed, and the system has the characteristics of non-scanning and static imaging. And the real-time performance and the stability of the terahertz spectrum information acquisition process can be ensured. The invention provides a feasible technical path for industrialization of miniaturized terahertz functional devices.

The invention relates to the field of mid-infrared focal plane array spectral imagers, and discloses a mid-infrared focal plane array spectral imager and a spectral imaging method thereof.The mid-infrared focal plane array spectral imager comprises a focal plane array, the focal plane array comprises a plurality of pixels, and the pixels are arranged in the focal plane array. Wherein each pixel comprises a PIN heterojunction and a CdS layer arranged at the interface of the PIN heterojunction, and the imaging method comprises the following steps: carrying out spectrum training on each pixel in a focal plane array of the mid-infrared focal plane array spectrum imager, and establishing an independent spectrum model for each pixel so as to form a spectrum model cube; performing spectrum reconstruction on each pixel in the focal plane array based on the spectrum model cube; and combining the reconstructed spectrums of all the pixel points to generate a spectral imaging result. The invention solves the problem that the prior art lacks a spectral imager for the mid-infrared focal plane, and has the characteristics of low cost, chip and simple process.

The invention provides a narrow-band stacked cellulose liquid crystal quantum dot spectrum modulation system, a spectrum imaging system and a spectrum imaging method, which are used for solving the problems of narrow spectrum regulation and control wave band, wide absorption peak, low absorption efficiency, low energy utilization rate and easy generation of phase change during high-concentration doping of quantum dots in the existing liquid crystal spectrum modulation system. And high-energy-efficiency spectrum information sensing is difficult to realize. The narrow-band stacked cellulose liquid crystal quantum dot spectrum modulation system comprises N narrow-band cellulose liquid crystal quantum dot spectrum modulators which are sequentially stacked, and a plurality of quantum dot-nanocellulose liquid crystal spectrum elements are arranged on each narrow-band cellulose liquid crystal quantum dot spectrum modulator in an area array type mosaic array mode. The narrow-band cellulose liquid crystal quantum dot spectrum modulator is used for directly modulating narrow-band spectrums in the X direction and the Y direction, narrow-band spectrum regulation and control in the Z direction are achieved in combination with stacking combination of N narrow-band cellulose liquid crystal quantum dot spectrum modulators, and finally convenient modulation of multi-spectrum-band information in the X direction, the Y direction and the Z direction in the whole space is achieved.