220 results about "Short wave infrared" patented technology

The invention discloses a vehicle blind area dynamic enhancement and warning system for a low-light environment, and relates to the technical field of automobile active safety, and the system comprises a short wave infrared imaging module which is used for capturing a passive thermal feature image of a scene behind the side of a vehicle; the multi-source signal acquisition module is used for acquiring a vehicle bus signal representing a vehicle motion state and an operation intention of a driver in real time; the data processing and risk assessment module is connected with the short wave infrared imaging module and the multi-source signal acquisition module, and is used for performing fusion processing on the thermal feature image and the vehicle bus signal, identifying a blind area target and calculating a dynamic risk level of the blind area target; the grading warning and intervention module is connected with the data processing and risk assessment module; the short-wave infrared imaging technology which is sensitive to night light and high in anti-interference capacity is adopted, the imaging problem under extremely low illumination is fundamentally solved, and stable detection of vehicles and pedestrians in a long distance in a completely light-source-free environment is achieved.

The invention provides a precise and small broadband hyperspectral imager, which is used for solving the technical problem that the existing broadband spectral imager from visible near-infrared to short-wave infrared for sceneries cannot meet the increasingly harsh imaging requirements. According to the small broadband hyperspectral imager, the front optical assembly of an off-axis two-reflection structure and the spectrometer assembly in a free-form surface reflector, optical path multiplexing and axis folding mode are adopted, the number of used lenses is greatly reduced, meanwhile, the length of a spectrometer is effectively reduced, and the imaging precision is improved. The volume and the weight of the spectral imager are greatly reduced; besides, front surfaces and rear surfaces of a first lens and a second lens in the spectrometer assembly are plated with broadband antireflection films from visible near-infrared to short-wave infrared according to light angles, and broadband detection from visible near-infrared to short-wave infrared can be realized in combination with a broadband refrigeration type detector. And the complexity and the installation and adjustment difficulty of the detector assembly and the circuit assembly are greatly reduced.

The invention discloses an intelligent optical sensing system based on multispectral fusion, and relates to the technical field of optical sensing, and the system comprises a multispectral image collection module which is used for synchronously collecting original image data of a target scene under three spectral channels of visible light, near-infrared and short-wave infrared; the space-time registration and preprocessing module is used for carrying out high-precision space-time registration and radiation correction on the images of different spectrum channels; the self-adaptive feature extraction and fusion module is used for extracting multi-scale spectral features from the registered multi-spectral image and dynamically selecting and weighting a fusion strategy according to scene content; and the lightweight decision network module outputs a final target identification and state discrimination result. According to the technical scheme, the time-space consistency of multispectral data acquisition can be realized, the cross-band registration precision is improved, the robustness under the conditions of low contrast, shielding and severe weather is enhanced, meanwhile, the calculation complexity and memory occupation are greatly reduced, and the method is suitable for edge calculation equipment with limited resources.

The utility model relates to the technical field of heating devices, in particular to a short-wave infrared ray heating curing lamp box which comprises a heat insulation box body, a short-wave infrared ray lamp, an air blowing device, a lampshade fixing plate and a reflection lampshade, and the reflection lampshade comprises an outer shell, an arc-shaped reflection plate, a profiling pressing plate, a locking piece, an insulation base and at least two conductive chucks. The profiling pressing plate and the arc-shaped reflecting plate are arranged in the outer shell from top to bottom in an overlapped mode, and a heating curing groove and an exhaust groove are formed in the bottom face of the heat insulation box body. Short-wave infrared light emitted by the short-wave infrared lamp can be focused on a workpiece to the maximum extent through the arc-shaped reflecting plate, so that the utilization rate of heat energy and the heating efficiency are improved, modular assembly of the reflecting lampshade is achieved, disassembly, assembly and maintenance are convenient, and the practicability is high. The arc-shaped reflecting plates with different reflectivity can be replaced according to the heating requirements of different workpieces, the airflow generated by the blowing device dissipates heat of the short-wave infrared lamp, the heated airflow is blown to the workpieces, and the workpieces can also be heated.

The invention discloses an inversion method for obtaining an N2O gas volume mixing ratio profile based on a short-wave infrared laser occultation detection technology. The inversion method comprises the following steps: calculating a short-wave infrared atmospheric refractive index profile at the center position of an N2O gas absorption spectral line; calculating a collision parameter profile according to the short-wave infrared atmospheric refractive index profile, respectively calculating atmospheric transmittance profiles of an N2O gas absorption spectral line and a reference spectral line based on normalized energy data of infrared laser occultation detection, and executing Abel integral inverse transformation on a difference value between the atmospheric transmittance profiles to obtain an N2O gas absorption coefficient profile; converting the N2O gas absorption coefficient profile into an N2O gas initial volume mixing ratio profile; and by taking the N2O gas initial volume mixing ratio profile as an initial value, carrying out analog calculation on an atmospheric transmittance profile after N2O gas absorption, constructing a cost function, carrying out iterative optimization, outputting an N2O gas volume mixing ratio profile, and obtaining a final inversion result. According to the method, the inversion precision is improved.

The invention discloses a fire monitoring-oriented SAR-to-optical image generation method and device, and aims to solve the problems that an SAR image is difficult to interpret and optical remote sensing is shielded in fire monitoring, and an existing generation method is unstable in training, high in calculation overhead, discontinuous in structure and the like. According to the method, an SAR image is acquired and preprocessed, and a pseudo RGB image is constructed; extracting near-infrared and short-wave infrared bands of the multispectral image, calculating an NBR index to generate a fire mask, and constructing a spectrum guide loss function; taking DDPM as a generation trunk, embedding a cross-domain translator and combining a hierarchical structure guide mechanism to perform weighted fusion on global and local reconstruction results; and outputting the optical style image. The method can generate optical images with clear details, consistent spectrums and coherent structures under the shielding of smoke and clouds, balances the generation quality and efficiency, improves the accuracy of fire monitoring and post-disaster evaluation, and is suitable for multi-scene fire monitoring.

The invention discloses an outdoor box video monitoring method, device and system based on multi-dimensional fusion. The system has the advantages that the visible light camera adopted by the main lens collects the physical state of the surface of the box body and the peripheral visible dynamic state, and the short-wave infrared equipment is adopted by the auxiliary lens to collect invisible characteristics and temperature distribution; feature points are extracted to calculate similarity, pixel-level matching is realized through a constructed perspective transformation matrix, and a correlation database is constructed; based on the multispectral data, three types of interaction events of biological interference, natural action and environmental transaction are identified in combination with deep learning, a fault and event association data set is constructed, a weight is assigned, a baseline threshold is set, and early warning is triggered when the threshold is exceeded; after early warning, the starting time and position of an event are positioned, a risk network is constructed to calculate the contribution degree of the event to determine a core risk source, three levels of risks are divided, a traceability map is generated, a differentiated operation and maintenance scheme is generated, monitoring is optimized, and the accuracy and operation and maintenance efficiency of outdoor box monitoring are improved.

The invention provides a carbon monoxide plume identification and quantification method based on a domestic hyperspectral satellite, and the method comprises the steps: carrying out the radiometric calibration and atmospheric correction of the data of a visible short-wave infrared hyperspectral camera AHS I carried by the domestic hyperspectral observation satellite (GF-5B, Gaofen-5 B satellite); generating a carbon monoxide unit absorption spectrum by using a medium-resolution atmospheric transmission model MODTRAN; inverting a carbon monoxide enhancement value by adopting a matched filtering method; generating a binary plume mask through threshold segmentation; and constructing a deep learning model based on a residual neural network ResNet network, and realizing plume pixel-level identification and carbon monoxide column concentration enhancement value prediction. The method can identify the carbon monoxide plume with high precision and high efficiency, and is suitable for atmospheric pollution monitoring and pollution source quantification.

The invention provides a tunnel surrounding rock identification method and system, and relates to the technical field of tunnel construction, and the method comprises the steps: obtaining a mixed frequency sound wave reflection signal collected by a sensor array disposed on a tunnel face, synchronously acquiring the hyperspectral image data of the tunnel face rock mass from the visible light to the short wave infrared band through a portable spectrometer; topological mode construction is carried out according to the mixed frequency sound wave reflection signals, and topological invariant features are obtained; performing cross-modal fusion according to the topology invariant features and the hyperspectral image data to obtain a fused topology-spectrum association graph; hidden manifold structure learning is carried out according to the fusion topology-spectrum correlation graph, and a low-dimensional feature vector is obtained; performing dynamic surrounding rock category division according to the low-dimensional feature vector to obtain a surrounding rock dynamic classification label; and performing identification result decision according to the surrounding rock dynamic classification label to obtain a tunnel surrounding rock identification result. According to the invention, high-precision and high-robustness dynamic identification of the tunnel surrounding rock state is realized.

A method of surface-enhanced Raman spectroscopy includes positioning an analyte in a field-enhancing region of a nanophotonic element, irradiating the analyte with a continuous wave excitation laser operating at a user-defined frequency in a range from near infrared (NIR) to short-wave infrared (SWIR) to generate a signal to cause photon scattering from the analyte and detecting the photons with one or more photodetectors in the SWIR. A surface-enhanced Raman spectroscopy system includes a laser operating at a frequency having a range from near-infrared (NIR) to short-wave infrared (SWIR) that emits light in a spectrum between 700 and 2500 nanometers, a nanophotonic element to receive the light from the laser, and one or more SWIR detector to detect photons scattered by an analyte on the nanophotonic element.

The invention discloses an adaptive gradient descent optimization image dead pixel compensation method and system, and relates to the technical field of image processing, and the method comprises the steps: intercepting image frames of a received image data stream collected by a short wave infrared sensor according to a preset interval; calculating a gradient descent iteration value of the image group by adopting a self-adaptive gradient descent iteration algorithm; traversing each pixel point of each image frame in the image group, pre-estimating a pre-estimated pixel value corresponding to each pixel point according to the gradient descent iteration value, and calculating a decision factor according to a difference value between the pixel value of each pixel point and the pre-estimated pixel value corresponding to the pixel value; and judging whether each pixel point is a defective pixel or not according to a comparison result of the judgment factor of each pixel point and a preset threshold value, and if the pixel point is the defective pixel, replacing the pixel value of the defective pixel with the estimated pixel value. The self-adaptive gradient descent decision factor of each pixel is calculated in real time, and the dead pixel is identified by judging the difference between the estimated value and the actual value, so that real-time, self-adaptive and high-precision identification and compensation of the dead pixel are realized.

The application belongs to InGaAs infrared focal plane detector, and provides a preparation method of a new type of InGaAs short-wave infrared detector. After growing P electrode, N electrode, P type metal and N type metal to form ohmic contact, growing connecting layer metal, thinning and polishing InP substrate to form a flat mirror surface, corresponding photoetching on a readout circuit wafer, growing lower electrode metal and indium column, and then carrying out metal stripping; InP epitaxial wafer PDA and readout circuit are uniformly glued, protected, and diced to form independent single; PDA and readout circuit are inversely interconnected to form an infrared detector, and secondary polishing treatment and growth of anti-reflection coating are carried out. The indium column is grown at the end of the readout circuit, and one-step photoetching can be completed. The PDA chip end can reduce the growth of the lower electrode, the growth of the indium column, and the growth of the corresponding passivation layer and the opening of the passivation layer. The process steps are reduced, the probability of defects is reduced, the production cost is reduced, and the final yield of the product is further improved.

The invention belongs to the technical field of photothermal conversion materials, and discloses a preparation method and application of an inorganic-organic hybrid polyoxotungstate photothermal material with wide spectrum absorption. The structural formula of the photo-thermal material is Per4W10O32, the crystal structure belongs to a triclinic system, the space group is P-1, and the photo-thermal material has specific unit cell parameters. The preparation method comprises the following steps: oxidizing perylene molecules through constant current electrolysis in a mixed solvent system containing perylene molecules and a decatungstate precursor in an electrochemical oxidation manner, and assembling the oxidized perylene molecules with decatungstate anions to form bulk crystals; the photo-thermal material has continuous strong absorption in a region from ultraviolet light to short wave infrared, the photo-thermal conversion efficiency is as high as 98.24%, when the photo-thermal material is applied to the fields of solar driven interface photo-thermal evaporation and water treatment, the evaporation rate of a two-dimensional system is 1.89 kg.m <-2 >. H <-1 >, the evaporation rate of a three-dimensional hydrogel system is increased to 3.02 kg.m <-2 >. H <-1 >, salt deposition can be inhibited in long-term seawater desalination operation, and the photo-thermal material has a good application prospect. Fresh water quality meets drinking water standards.

The invention belongs to the technical field of measurement, and relates to a real-time in-situ measurement system and method for a far-field divergence angle of a laser. The system comprises a laser emitting unit, a detection imaging unit, a detection control unit, a data processing unit and a light beam monitoring unit. According to the system and the method provided by the invention, the short-wave infrared camera integrated with a range gating function is adopted, so that the range information and spatial distribution of laser spots can be acquired in real time and the divergence angle of laser can be solved in real time under the condition that a cooperative target or a complex laboratory device is not needed. The method is especially suitable for laser performance monitoring and evaluation under external field, mobile platform and dynamic change conditions.

The invention relates to the technical field of land information extraction, in particular to a soil information extraction method and system based on a remote sensing image, and the method comprises the steps: determining the humidity reflectivity correlation degree according to the correlation between the humidity variation and the spectral reflectivity variation; based on the variation of the illumination intensity and the variation of the spectral reflectivity in each land area between adjacent sampling moments and the terrain complexity, determining the disturbance of the spectral reflectivity in combination with the humidity reflectivity correlation degree; and based on the spectral reflectivity difference between the near-infrared band and the short-wave infrared band of each land region and in combination with the disturbance of the spectral reflectivity, determining the real interference weight of each land region so as to correct the spectral reflectivity and determine the soil water content of each land region. The problem of low precision caused by environment and terrain interference in remote sensing soil moisture monitoring is solved, and the accuracy of soil moisture content information extraction is improved.

Aspects of the present disclosure generally relate to a new class of compositions utilized for detecting short-wave infrared (SWIR) light, to devices including the compositions, and to photodetectors including the compositions. Aspects of the present disclosure also generally relate to processes for forming the compositions, the devices, and the photodetectors. In an aspect, a process for forming a SWIR device is provided. The process includes forming a precursor solution comprising: a first compound (AX), a second compound (BX), a third compound (CX3), a nitrogen-containing compound, and a solvent. The process further includes: dispersing the precursor solution on a substrate surface of a substrate and annealing the dispersed precursor solution on the substrate at an annealing temperature that is from about 100° C. to about 300° C. to form a film composition comprising: the nitrogen-containing compound or ion thereof; and a lead-free double perovskite represented by Formula (I): A2BCX6 (I).

A wearable device includes an image sensor having a matrix of pixels. Each pixel includes at least one light emitter and at least one photosensor. A first group of pixels of the matrix includes one light emitter configured to emit wavelengths selected among near and short-wave infrared wavelengths. A second group of pixels of the matrix includes a photosensor sensitive to the wavelengths selected among near and short-wave infrared wavelengths.

Depth sensors comprising a focal plane array with photosites (PSs) directed in different directions, each PS operable to detect light arriving from an instantaneous field of view (IFOV) of the PS, a readout-set of readout circuitries (ROCs), each ROC coupled to readout-group PSs by multiple switches and operable to output an electric signal indicative of an amount of light impinging on the readout-group PSs when the read-out group is connected to the respective ROC via at least one of the switches, a controller operable to change switching states of the switches, such that at different times different ROCs of the readout-set are coupled to the readout-group and are exposed to reflections from different distances, and a processor operable to obtain the electric signals from the readout-set indicative of detected levels of reflected light collected from the IFOVs of the readout-group and to determine depth information for an object.

This invention belongs to the field of edible fungus harvesting control, and particularly relates to an edible fungus detection system based on short-wave infrared multi-band fusion. The system includes an acquisition module, a detection module, and a response module. The acquisition module simultaneously acquires images of edible fungi, infrared multi-band data, and environmental sensor data. The detection module processes the data using a multimodal recognition model, extracting key indicators such as chitin content, moisture content, mold metabolites, and surface texture through parallel feature extraction, and then integrates and outputs mold probability, maturity level, and adaptive capture parameters. The response module executes early warning or precise capture based on these parameters. This invention, through multimodal fusion and anti-interference design, achieves non-destructive, rapid, and accurate detection of the internal quality of edible fungi, improving the level of harvesting automation.

Solid-state imaging configured to acquire information regarding moisture content together with appearance data is disclosed. In one example, a solid-state imaging device includes an imaging element and a processing circuit. The imaging element includes, in a single pixel array, a visible-light receiving element that receives visible light and an infrared-light receiving element that receives infrared light in at least a short-wavelength infrared band. The processing circuit generates a first image illustrating an image of a dried food in a visible region and a second image illustrating an image of the dried food in an infrared region from data acquired by the imaging element, and inspects the dried food from the first image and the second image.

According to the tensile strain germanium wafer on the glass substrate, the imaging chip and the forming method of the imaging chip, the acceptor substrate comprises the transparent glass substrate, the light transmittance of the short-wave infrared band is extremely high, light of the short-wave infrared band can reach the tensile strain germanium layer, the transparent glass substrate can also enable visible light to penetrate, and the imaging chip can be applied to the imaging chip. Visible light can also reach the tensile strain germanium layer. Light of more wavebands enters the tensile strain germanium wafer on the glass substrate through the transparent glass substrate, the tensile strain of the tensile strain germanium layer is further increased through direct wafer bonding operation, the response capacity to incident light is improved, and the wavelength response range of the tensile strain germanium wafer on the glass substrate is expanded to be within the range of 400 nm to 1700 nm. The wafer taking the transparent glass as the substrate is large in size and low in batch production cost, can be highly compatible with a CMOS (complementary metal oxide semiconductor) process production line, can overcome the defects of fragility, high cost and the like of a bulk germanium material, and improves the quality of the tensile strain germanium wafer on the glass substrate.

The invention discloses a shallow low-temperature hydrothermal deposit modeling method based on short-wave infrared, and relates to the technical field of artificial intelligence mineral product prediction, and the method comprises the steps: carrying out the weighted normalization processing of multi-source heterogeneous geological data, mapping the multi-source heterogeneous geological data to a unified feature space through a nonlinear fusion coding algorithm with a weight coefficient, and carrying out the modeling of the multi-source heterogeneous geological data. Generating a fusion feature vector; constructing a self-attention mechanism perceived by a geological structure, introducing a geological prior matrix reflecting terrain gradient and geochemical abnormal distribution on the basis of a key, query and value matrix, and dynamically adjusting local geological coupling weight parameters in an attention calculation process; and establishing a geological consistency loss mechanism, performing spatial constraint on the attention response and the alteration label, forming a composite loss structure through a nonlinear amplification term, a logarithmic penalty term and a smooth boundary constraint term, and enabling the geological consistency loss mechanism, classification loss and a regular term to participate in optimization together.

1. The name of the design product: helmet night vision device. 2. The use of the design product: for night work in low light or no light environment, based on the high sensitivity imaging capability of short wave infrared band, the user can realize the detection, identification and tracking of target in darkness, smoke or complex background, thereby significantly improving the situation awareness and operation safety; typical applications include military operations, border patrol, law enforcement monitoring, search and rescue tasks, night navigation and outdoor tactical training scenes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

An optical system includes an external common entrance pupil, a front multispectral objective lens group configured to receive and direct electromagnetic radiation in the multispectral infrared wavelengths, and a first beamsplitter configured to receive electromagnetic radiation from the front objective lens group. The first beamsplitter further is configured to reflect electromagnetic radiation in the short wave infrared (SWIR) wavelength and the middle wave infrared (MWIR) wavelength and to transmit electromagnetic radiation in the long wave infrared (LWIR) wavelength. The optical system further includes a second beamsplitter configured to receive electromagnetic radiation from the first beamsplitter. The second beamsplitter further is configured to reflect electromagnetic radiation in the SWIR wavelength and to transmit electromagnet radiation in the MWIR wavelength. The optical assembly further includes a spectral hybrid optics groups configured to direct spectrum beams in the LWIR wavelength band, the MWIR wavelength band and the SWIR wavelength.

The application provides a short-wave infrared fluorescent ceramic and a preparation method and application thereof. The short-wave infrared fluorescent ceramic has a chemical composition of Y 2‑z (Ca 1‑x M x )Al 4‑y SiO 12 :yCr 3+ ,zEr 3+ ; wherein M is one or more of Mg, Sr and Ba elements. The preparation method comprises the following steps: S1, taking oxides, nitrates, halides or carbonates containing Y, Ca, M, Al, Si, Cr and Er elements as raw materials according to the chemical composition and the metering ratio, wherein M is one or more of Mg, Sr and Ba, and then mixing the raw materials to obtain a uniform mixture; S2, subjecting the uniform mixture to a melting treatment, and then cooling to obtain a transparent glass sample; and S3, placing the transparent glass sample into a tube furnace with an atmosphere, and subjecting the transparent glass sample to a heat treatment at 900-1300 DEG C under normal pressure, and then sequentially cooling and polishing to obtain the short-wave infrared fluorescent ceramic. The short-wave infrared fluorescent ceramic prepared by the application has high transmittance, a wide emission spectrum coverage range, high luminescent quantum efficiency and excellent thermal stability.

The present application relates to the technical field of image enhancement, in particular to a remote sensing image enhancement method for forest fire monitoring, which specifically comprises the following steps: firstly, pre-processing multispectral images, digital elevation models and fire point labels to obtain multi-source training samples; then, performing differentiated enhancement on different bands in combination with terrain shadow intensity, normalized burning ratio and short-wave infrared local anomaly response; then, generating a spatially restricted fire line expansion area based on wind direction, slope direction and vegetation conditions, and performing thermal radiation enhancement and smoke plume shielding modulation to obtain physically simulated augmented samples; finally, constructing a double-branch dynamic receptive field network for decoupling fire points and smoke, and jointly training the network using focal loss and boundary consistency loss, and outputting a pixel-level fire danger probability map. The present application can improve the detection accuracy of forest fires under complex terrain and the enhanced results can be directly used for fire point detection or auxiliary manual interpretation.

The present disclosure relates to visible and short wave infrared (SWIR) hybrid sensors, and methods for constructing such sensors. The method includes forming a first deep trench isolation (DTI), a second DTI, and a third DTI in a silicon substrate. A portion of the silicon substrate positioned between the second DTI and the third DTI forms a silicon photodetector for detecting visible light. The method further includes etching a trench in the silicon substrate between the second DTI and the third DTI. The trench is etched such that another portion of the silicon substrate remains between the second DTI and the third DTI. The method further includes forming a SWIR photodetector within the trench for detecting SWIR light. The method further includes removing another portion of the silicon substrate such that the first DTI, the second DTI, and the third DTI are exposed on one side of the silicon substrate. The method further includes forming a high-K dielectric layer on the silicon substrate.

The invention belongs to the technical field of remote sensing application, and relates to a fire point identification method and system based on medium-high resolution satellite remote sensing data. The method comprises the following steps: acquiring spectral data of an ultra-blue wave band, a SWIT1 wave band and a SWIT2 wave band of a medium-high resolution satellite; calculating the reflectivity of the spectral data of the ultra-blue wave band; performing cloud removal processing to calculate the radiance values of SWIT1 wave bands and SWIT2 wave bands of all pixel points in a non-cloud area; calculating normalized short wave infrared difference indexes of all pixel points; and based on the normalized short-wave infrared difference index, performing fire point identification on the non-cloud region data by adopting a decision tree. According to the invention, early-stage small-scale fire points can be identified, and fire point rapid spreading caused by fire early-stage identification lag can be avoided to form a large-scale fire; fire point misjudgment or missed judgment caused by misjudgment of cloud layer shadows and high-reflection ground objects as suspected fire points is avoided; and in combination with the waveband characteristics of the medium-high-resolution satellites, the data advantages of the medium-high-resolution satellites are brought into full play, and the fire point identification precision is improved.