52 results about "Shortwave infrared" patented technology

The invention relates to the technical field of image discrimination, and further relates to a restoration supervision evaluation method based on mine ecological image discrimination, and the method comprises the steps: 1, carrying out the preprocessing of an obtained remote sensing multispectral image of a target mine region, and obtaining a preprocessed image; fusing the standard vegetation index, the bare soil area and the reflectivity ratio to obtain a vegetation recovery index; 2, dividing the preprocessed image into a plurality of ecological patches by using an image segmentation algorithm; calculating to obtain a slope stability index in combination with the crushing degree; 3, evaluating a hydrological recovery index corresponding to the water body area in the preprocessed image through the combination of short-wave infrared and near-infrared bands; and calculating a comprehensive restoration index of the target mine area in combination with the vegetation restoration index, the slope stability index and the hydrological restoration index. The method has the advantages of being high in adaptability, wide in monitoring range and the like, and the supervision efficiency and scientificity of mine repair engineering can be remarkably improved.

The invention relates to a 1D-CNN (1D-Convolutional Neural Network)-based dual-band fused hyperspectral flaxseed incomplete grain identification method, which is characterized in that sample data of moldy grains, damaged grains, thermal damaged grains, germinated grains and normal grains are synchronously acquired through a visible-near infrared (400-1000nm) and short-wave infrared (1000-2000nm) dual-band hyperspectral imaging system; after black and white board correction and region-of-interest extraction, seamless splicing of dual-band spectral data is realized by adopting a linear interpolation technology, then data quality is optimized by preprocessing methods such as multivariate scatter correction and standard normal transformation, and finally, deep features are extracted by utilizing a 1D-CNN deep learning model with a three-layer convolution structure. According to the technology, the limitation of traditional single-band detection is broken through, the identification accuracy of the flaxseed imperfect grains is improved to 97.50%, and compared with a single-band detection method, the identification accuracy is remarkably improved by 3-5%.

The invention discloses a geological No.1 satellite remote sensing image inter-band relative registration method and a geological No.1 satellite remote sensing image inter-band relative registration device, relates to the technical field of image data processing, and can accurately perform remote sensing image inter-band relative registration without changing the original pixel value of a remote sensing image under the condition that the quality of the remote sensing image is poor. The method comprises the following steps: registering all short-wave infrared band images corresponding to a geological No.1 satellite remote sensing image band based on a self-selected region offset calculator to obtain a registered short-wave infrared band image; registering all the first focal plane module band images, all the second focal plane module band images and the first focal plane module band images and the second focal plane module band images based on a self-selected area offset calculator to obtain registered visible light band images; and performing registration between the registration short-wave infrared band image and the registration visible light band image on the basis of time frame selection and resampling so as to complete the relative registration between the geologic first satellite remote sensing image bands.

The invention discloses a sea surface vessel detection method and system based on tri-modal attention fusion. According to the invention, visible light, short-wave infrared and medium-wave infrared images are fused, and the problem of missing detection of existing single-mode ship detection under complex sea conditions such as haze, night and thermal interference scenes is solved; according to the invention, multi-level features of a three-mode image are extracted through a backbone network, multi-feature interaction is realized through a double-path deformable attention fusion module, texture-thermal radiation feature complementation is realized, and fusion output is distributed in combination with adaptive weight; in consideration of the problem of poor night short wave infrared data quality, a medium wave dominant degradation fusion strategy is designed, it is ensured that only visible light and medium wave infrared interaction characteristics are used in a night mode, and the influence of low-quality data on model performance is avoided. According to the improved DH-DINO algorithm provided by the invention, the multi-scale information capturing capability can be enhanced, and the problems of modal information redundancy and insufficient complementarity of ship detection under complex sea conditions are solved.

The present invention relates to a shortwave telecentric optical system and an imaging method thereof. The optical system comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, an eighth lens, a ninth lens, and a tenth lens, arranged sequentially along the incident direction of light. The present invention provides a large relative aperture, limited-yoke object-space telecentric system, compatible with a refrigerated shortwave infrared detector (640×512@15μm). The large relative aperture system offers high energy concentration, while the refrigerated shortwave detector operates in a low-temperature environment, resulting in a high signal-to-noise ratio and enhanced detail resolution. Telecentric optical systems have a wide range of applications in precision measurement, optical metrology instruments, and other fields, particularly in applications requiring high-precision measurements.

This invention provides a catadioptric shortwave infrared imaging spectrometer, comprising, in order of light incidence, an entrance slit, a plane mirror, a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, a grating, and an imaging sensor. The plane mirror, together with the upper portions of the first, second, third, fourth, fifth, sixth, and seventh lenses, forms a collimation system. The grating, together with the lower portions of the seventh, sixth, fifth, fourth, third, second, and first lenses, and the imaging sensor, together form an imaging system. Collimation and imaging share a single lens group, resulting in a compact structure, easier aberration correction, simpler assembly and adjustment, better image quality, lower tolerance sensitivity, and reduced assembly difficulty.

This invention discloses a detection-adjustment integrated digital twin grain storage system and method based on hyperspectral shortwave infrared, including a hyperspectral grain storage lidar front-end, a three-dimensional grain condition twin, a LoRa Internet of Things (IoT) system, and back-end execution devices. The lidar front-end collects point cloud spectra and constructs a spectral-grain condition inversion map using a database. By integrating parameters such as storage temperature and humidity, and gas concentration, a dynamic grain condition prediction model is established, generating a three-dimensional grain condition twin. The IoT system enables front-end and back-end interactive control, achieving synchronous fusion of the map and data, and remote feature extraction. The back-end execution devices include temperature and atmosphere control storage devices, which automatically adjust the temperature and gas composition inside the storage area based on feedback from the twin, suppressing insects and mold and extending the storage period. This invention constructs a "detection-modeling-feedback" closed loop, solving the problems of difficult insect and mold monitoring, bran interference, and lagging regulation.

A method of characterizing a device under test (DUT) includes illuminating the DUT with a broadband optical beam within an optical field of view (FOV), illuminating the DUT with an X-ray beam within an X-ray FOV overlapping the optical FOV, and concurrently acquiring X-ray metrology information, e.g., one or more X-ray images utilizing various modalities, such as absorption, phase contrast difference, darkfield, small angle X-ray scattering (SAXS) and / or fluorescence, from the X-ray FOV and a plurality of optical images of the optical FOV, each of the optical images corresponding to respective selected wavelengths of the broadband optical beam from each of ultraviolet, visible, and infrared wavelengths, for example including deep ultraviolet, near infrared, or short-wavelength infrared wavelengths. The DUT may be one or more substrates, e.g., stacked, and include electronic devices such as three-dimensional integrated devices.

A method of calibrating a sensing system for determining a position of a feature of an object includes defining reference positions within a three-dimensional reference system; determining corresponding positions within an image frame of an image sensor and positions within a sensor frame of a further sensor; and generating a mapping linking the reference positions and the positions. A position of the feature of the object may be determined based on the mapping. There is also provided a method for monitoring a workpiece, the method comprising: obtaining shortwave infrared images; determining a corresponding image position of a feature of the workpiece or of an automated welding system using a machine-learned model; and determining a position of the feature.

A pair of augmented reality spectacles 1 include a capture lens 3, an optical connection element 4 and an optical projector unit 21. The capture lens is on a front frame 10 of the spectacles. The optical connection element 4 directs light incident upon the capture lens to a camera 51 for detection. The camera outputs image data in response to detecting incident light. The optical projector unit projects augmented reality data that is at least partially derived from the output image data of the camera on to one or both spectacle lenses 2. There may be a single projector unit projecting augmented reality data onto one or both spectacle lenses. There may be two projector units, each projector unit projecting augmented reality data on to a different spectacle lens. Each projector unit may project different augmented reality data on to each spectacle lens. The camera may be mounted on the temple of the augmented reality spectacles. The camera may be mounted separately to the augmented reality spectacles and optically coupled to the optical connection element. The camera may detect incident light in a selected detection wavelength band outside the visible wavelength band such as long / short wavelength infrared (LWIR, SWIR).

The invention discloses a satellite remote and laser communication integrated load with multiple frequency bands sharing a light path, and belongs to the technical field of integrated satellite loads, the satellite remote and laser communication integrated load comprises a main optical system adopting an off-axis three-reflection anastigmatic telescope and covering a 400 nm-14 [mu] m wave band, and a light splitting sub-system adopting an off-axis three-reflection anastigmatic telescope and covering a 400 nm-14 [mu] m wave band; through precise light splitting design, dynamic resource scheduling and real-time compensation control, high-precision laser communication is achieved while the multi-band remote sensing performance is guaranteed, the real-time data return requirement of a future high-resolution remote sensing satellite is met, and the real-time data return requirement of the future high-resolution remote sensing satellite is met. According to the invention, hierarchical light-splitting full-spectrum coverage and multi-band efficient cooperative work are realized, the load weight is effectively reduced, the load power consumption is reduced, the requirement for in-orbit stable operation of an integrated load is met, and the problem that multifunctional integration is not easy to realize in a limited load space is solved.

This invention relates to a visible light / shortwave infrared dual-band common-aperture optical system, comprising a common-aperture section, a planar beam splitter, a visible light channel subsystem, and a shortwave infrared channel subsystem. The common-aperture section is located at the front end of the optical system and consists of a primary mirror and a secondary mirror arranged coaxially. The planar beam splitter is located in the optical path behind the secondary mirror. Full-band light from the object side is reflected sequentially by the primary and secondary mirrors before reaching the planar beam splitter, where it is split and then enters the visible light channel subsystem and the shortwave infrared channel subsystem for imaging in different bands. The optical system achieves dual-band common-aperture, realizing a long focal length and large aperture design for the dual-band system, improving the system's target detection / identification capability, and has the advantages of high spatial resolution, long operating distance, and high identification probability. At the same time, it effectively simplifies the system structure, reduces the system size, reduces assembly and adjustment difficulty, and achieves a low obstruction ratio and high imaging quality.

The invention discloses a methane smoke plume recognition and emission estimation method based on multi-constraint background selection, and belongs to the technical field of greenhouse gas remote sensing monitoring and hyperspectral inversion. According to the method, satellite-borne or airborne short-wave infrared hyperspectral observation data is subjected to preprocessing such as radiometric calibration, atmospheric correction and noise suppression, a multi-constraint background pixel screening model including same-column consistency constraint, spectrum slope consistency constraint and diffusion distance constraint is constructed, and a background spectrum library is automatically obtained; based on the background library, an enhanced matched filtering algorithm is adopted to extract the methane concentration enhancement amount, and the system deviation and the false alarm rate are remarkably reduced. A smoke plume area is accurately extracted through spatial filtering, morphological segmentation and connected domain analysis, and the methane emission flux is inverted by combining an integrated quality enhancement (IME) emission estimation model with meteorological wind field data.

Described herein are new silicone-based compounds that have short wavelength infrared (SWIR) absorption and emission. The silicone-based compounds are readily accessible and obtainable on large scale with high purity through simple purification procedures. In one aspect, the silicone-based compounds have an absorption extending into the SWIR region and an emission maximum in the SWIR region which is promising for biological imaging applications.

This invention discloses a method and apparatus for relative registration between bands of remote sensing images from the Geological Survey-1 satellite, relating to the field of image data processing technology. It enables accurate relative registration between bands of remote sensing images even when the image quality is poor, without altering the original pixel values. The method includes: registering all shortwave infrared band images corresponding to the bands of the Geological Survey-1 satellite remote sensing image using a self-selected region offset calculator to obtain a registered shortwave infrared band image; registering between all first focal plane module band images, between all second focal plane module band images, and between a first focal plane module band image and a second focal plane module band image using a self-selected region offset calculator to obtain a registered visible light band image; and registering the registered shortwave infrared band image and the registered visible light band image based on time frame selection and resampling to complete the relative registration between bands of the Geological Survey-1 satellite remote sensing image.

The invention relates to a method for detecting the pollution concentration of staphylococcus aureus in mutton based on combination of 2DCOS and 1DCNN-LSTM-Self-Attention. Particularly relates to a method for optimally acquiring hyperspectral image data of mutton samples polluted by staphylococcus aureus with different concentrations by fully utilizing a short-wave infrared hyperspectral technology, extracting a region of interest (ROI) of the hyperspectral image data, and predicting the pollution concentration of the mutton samples by utilizing an optimized detection model. Comprising the following steps: firstly, extracting a characteristic wavelength closely related to the pollution concentration of staphylococcus aureus on mutton by utilizing two-dimensional correlation spectrum analysis (2DCOS), and establishing a rapid and accurate prediction model by utilizing the characteristic wavelength in combination with a 1DCNN-LSTM-Self-Attention integrated model. According to the method, the 2DCOS method, the deep learning algorithm and the hyperspectral imaging technology are combined and applied to prediction of the staphylococcus aureus pollution concentration on mutton, and a high decision coefficient is obtained; the 2DCOS obtains the information of the material structure and dynamics by analyzing the mutual relation between different wavelengths under the external interference condition. The 1DCNN-LSTM-Self-Attention can be used for automatically carrying out data normalization and feature extraction, so that the complexity of data pre-processing is reduced; the hyperspectral image data acquisition system is simple and convenient to operate, and the acquisition and prediction process speed is relatively high; a sample to be detected does not need to be subjected to special pretreatment, and an operator does not need professional knowledge; the hyperspectral imaging system and the matching device thereof are high in precision and have good research value, the characteristic wavelength suitable for predicting the concentration of staphylococcus aureus on mutton is researched on the basis of the system, a low-cost special detection system with high specificity is researched and developed, and the system has good market popularization and application value.

In some embodiments, space objects may be detected within shortwave infrared (SWIR) images captured during the daytime. Some embodiments include obtaining a stacked image by stacking shortwave infrared (SWIR) images. A spatial background-difference image may be generated based on the stacked image, and a matched-filter image may be obtained based on the spatial background-difference image. A binary mask may be generated based on the matched-filter image. The binary mask may include a plurality of bits each of which including a first value or a second value based on whether a signal-to-noise ratio (SNR) associated with that bit satisfies a threshold condition. Output data may be generated based on the spatial background-difference image and the binary mask, where the output data provides observations on detected space objects in orbit.

The invention relates to the technical field of crop yield prediction, in particular to an intelligent peanut yield prediction system and method based on multispectral image analysis. According to the technical scheme, the system comprises a multi-spectral image acquisition module, a dynamic adaptive image processing unit, a multi-modal feature fusion analysis module and an adaptive yield prediction model, wherein the multi-spectral image acquisition module is configured to pass through an unmanned aerial vehicle group carrying multi-spectral imaging equipment; five-dimensional spectral data containing visible light, red edge, near-infrared, short-wave infrared and thermal infrared bands are synchronously obtained, wherein the thermal infrared band is used for capturing the plant transpiration dynamic state. According to the method, multi-spectral image analysis, multi-modal feature fusion and intelligent algorithm technologies are comprehensively utilized, precise monitoring of peanut growth and high-precision prediction of the yield are achieved, visual and effective decision support is provided for agricultural production, meanwhile, the system operation cost is optimized, ecological economic benefits are excavated, and development of precise agriculture and sustainable agriculture is powerfully promoted.

The utility model discloses a short-wave infrared imaging lens, which relates to the field of optical equipment and sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens from an object side to an image side, the second lens is a meniscus cap lens with negative focal power; the third lens is a biconvex lens with positive focal power; the fourth lens is a biconcave lens with negative focal power; the fifth lens is a biconvex lens with positive focal power; the sixth lens is a biconcave lens with negative focal power; the seventh lens is a biconvex lens with positive focal power; and the eighth lens is a plano-convex lens with positive focal power. According to the utility model, by reasonably controlling the positive and negative matching of the focal power of each lens of the lens, the focal power of the lenses is distributed to be positive-negative-positive-negative-positive-negative-positive-positive-positive, the staggered distribution of the positive and negative focal powers can effectively balance the low-order aberration of the lens, and the tolerance sensitivity of the lens can be reduced at the same time; the imaging quality of the lens is ensured while the lens is kept miniaturized.

An organic random polymer comprises a structure of Formula I:The organic random polymer utilizes the 3-position of a sulfur-containing five-membered heterocycle as the polymerization site rather than the end of 2-(3-oxo-2,3-dihydro-1H-inden-1-ylidene) malononitrile, and thus there are no isomers. The organic random polymer can be tailored by adjusting the y-block to absorb light in the shortwave infrared region and exhibit good thermal stability. The present invention also provides an organic optoelectronic device comprising a first electrode, an active layer, and a second electrode. The active layer contains the organic random polymer. This organic optoelectronic device demonstrates good external quantum efficiency in the near-infrared region and possesses excellent thermal stability.

There is provided a method (300) of calibrating a sensing system (100) for determining a position of a feature (236) of an object (10). The method (300) comprises: defining (310) reference positions (181, 182) within a three-dimensional reference system; determining (320, 330) corresponding positions within an image 5 frame (122) of an image sensor (120) and positions within a sensor frame (132) of a further sensor (130); and generating (340) a mapping (150) linking the reference positions and the positions. A position of the feature of the object may be determined based on the mapping. There is also provided a method (400) for monitoring a workpiece (10), the method (400) comprising: obtaining (420, 430) shortwave 10 infrared images (125, 135); determining (440) a corresponding image position of a feature of the workpiece or of an automated welding system using a machine-learned model (190); and determining (450) a position of the feature.

There is provided a method (300) of calibrating a sensing system (100) for determining a position of a feature (236) of an object (10). The method (300) comprises: defining (310) reference positions (181, 182) within a three-dimensional reference system; determining (320, 330) corresponding positions within an image frame (122) of an image sensor (120) and positions within a sensor frame (132) of a further sensor (130); and generating (340) a mapping (150) linking the reference positions and the positions. A position of the feature of the object may be determined based on the mapping. There is also provided a method (400) for monitoring a workpiece (10), the method (400) comprising: obtaining (420, 430) shortwave infrared images (125, 135); determining (440) a corresponding image position of a feature of the workpiece or of an automated welding system using a machine-learned model (190); and determining (450) a position of the feature.

The invention provides a CO2 detection system comprising a camera suitable to be used with a platform that moves relative to the ground surface. The camera comprises at least one detector (D) sensitive to light, at least one lens arranged to focus light from the SWIR region of the electromagnetic spectrum onto the detector (D), a background filter (F0) coated on the surface of the detector (D) on which the light from the lens falls, and four absorption region (S) filters (F1, F2, F3, F4).

A triangulation system including an illumination unit including a SWIR illumination source for emitting a light beam; optics capable of shaping the light beam into a line; an imaging unit including at least one SWIR detector configured to detect the light beam when reflected by an object in the field of view; wherein deformation of the line in relation to an initial path of the line to the imaging unit translates into at least a depth of the object in the field of view; and wherein the depth allows for calculation by an application associated with at least one processor of at least a height and profile of the object based on known parameters of the system, including at least an angle of the line, and a distance between the imaging unit and the illumination source.

Exemplary methods, systems and devices according to the exemplary embodiments of the present disclosure are provided for performing a shortwave infrared (SWIR) imaging procedure. Thus, the exemplary methods, systems and devices can apply a photon avalanching material to a substrate, and place the substrate in optical communication with a light receiving material.

The present invention provides a horizontal short-wavelength infrared light-emitting diode with an emission wavelength range of 1100 to 2000 nanometers (nm) and a method for manufacturing the same. [Solution] The horizontal light-emitting diode includes a permanent substrate, an epitaxial composite layer, a first conductivity type electrode, a second conductivity type electrode, and an ohmic contact layer. The epitaxial composite layer has a light-emitting layer with an emission wavelength of 1100 to 2000 nanometers (nm). The light-emitting layer is placed on the permanent substrate. The first conductivity type electrode is placed on the permanent substrate and electrically connected to the epitaxial composite layer. The second conductivity type electrode is placed on the epitaxial composite layer, electrically connected to the epitaxial composite layer, and located on the same side as the first conductivity type electrode and the permanent substrate. The ohmic contact layer forms an ohmic contact with the first conductivity type electrode. The ohmic contact layer is sandwiched between the epitaxial composite layer and the first conductivity type electrode. The thickness of the ohmic contact layer is 1 micrometer or less.

The invention provides a short wave infrared image transmission system and method based on a ring core optical fiber and a storage medium. The system comprises a receiving unit, a modulation unit, a transmission unit and an image processing unit. The receiving unit is used for receiving reflected light after the short-wave infrared light irradiates the surface of a target object, performing collimation processing to obtain a collimated light beam and outputting the collimated light beam to the modulation unit; the modulation unit is used for carrying out wavefront modulation on the collimated light beam to obtain a vortex light beam and outputting the vortex light beam to the transmission unit; the transmission unit comprises one or more ring core optical fibers and optical coupling components arranged at the two ends of the ring core optical fibers, and is used for outputting the vortex light beams to the image processing unit; the image processing unit is used for receiving the output light beam and sequentially executing photoelectric conversion processing and analog-to-digital conversion processing to generate a speckle image and restore the speckle image to obtain a short-wave infrared image; according to the invention, the problems of poor imaging concealment and insufficient detection flexibility of the existing infrared imaging technology can be solved, and the imaging flexibility and concealment are improved.

This invention discloses an image fusion method for improving the spatial resolution of shortwave infrared remote sensing images, comprising: step 1, inputting remote sensing images; step 2, adjusting the spatial resolution of remote sensing image B; step 3, principal component analysis of image A; step 4, overlaying and recombining images A, C, and D; step 5, setting a virtual moving window; step 6, determining dominant ground feature pixels; step 7, calculating the spectral composition of dominant ground feature pixels; step 8, spectral fitting; step 9, spectral reconstruction; and step 10, generating a high-resolution shortwave infrared image. This image fusion method for improving the spatial resolution of shortwave infrared remote sensing images has the advantages of high fidelity, simplicity, stability, reliability, and high computational efficiency. It utilizes principal component transformation to extract high-resolution spatial information from spectral images and spectral fitting to fully leverage the spectral information of multispectral and shortwave infrared images, thus improving the spatial resolution of shortwave infrared images while maintaining spectral characteristics.

The present invention discloses a photosensitive element structure of a wide spectrum InGaAs detector and a preparation method thereof, wherein the photosensitive element structure comprises an InP corrosion cutoff layer, an InGaAs ... 0.53 Ga 0.47 As absorption layer, In x Ga 1‑x As composition graded absorption layer, dislocation barrier layer, high In composition InGaAs absorption layer, high In composition InAlAs contact layer. x Ga 1‑x The x of the As composition graded absorption layer is selected from the In x Ga 1‑x The As composition gradient absorption layer linearly changes from 0.53 to a from the lower end to the upper end, 0.53 < a ≤ 1, and the high In composition InGaAs absorption layer and the In x Ga 1‑x The upper end of the As composition graded layer is lattice matched, and the dislocation barrier layer is made of InAlAs or InAsP that is lattice matched with the high In composition InGaAs absorption layer. A method for preparing the photosensitive element structure is also disclosed, the main steps of which are: pretreatment of the InP substrate, growth of epitaxial material, mechanical grinding and wet chemical etching to remove the InP substrate, selective chemical etching to remove the In 0.53 Ga 0.47 The invention is conducive to realizing a single wide-spectrum InGaAs detector that responds in the visible-shortwave infrared range.