30 results about "Parallel polarization" patented technology

The invention discloses a printing paperboard positioning method and system based on visual image segmentation and edge detection, and relates to the field of printing paperboard positioning, and the method comprises the steps: collecting a parallel polarization image and a cross polarization image of a target substrate; determining parallel polarization features and cross polarization features by combining the parallel polarization image and the cross polarization image through a preset dual-channel neural network, and determining a parallel glare mask based on the parallel polarization features; performing feature weight adjustment on the cross polarization feature based on the parallel glare mask to obtain an adjusted cross polarization feature; performing feature fusion by combining the adjusted cross polarization features and the adjusted parallel polarization features to obtain a fusion feature map; inputting the fusion feature graph into a preset semantic segmentation network model to obtain an edge probability graph of the target substrate; and determining the edge position of the target substrate by using a contour connection algorithm according to the edge probability graph. The printing paperboard positioning device can effectively improve the positioning precision of the printing paperboard.

System, Apparatus and Method for characterizing subsurface electromagnetic properties of multiple material layers, the method includes producing at least a electromagnetic waves centered at a predetermined frequency with a specified bandwidth through a dual-polarized transmitter array to generate at least a orthogonally-polarized electromagnetic waves, transmitting the orthogonally-polarized electromagnetic waves into a ground target includes a set of multiple material layers, detecting, through a set of dual-polarized receiving antennas, reflected electromagnetic waves from subsurface layer boundaries, where the set of receiving antennas are oriented to capture both parallel and perpendicular polarizations relative to the transmitted waves, implementing, through a processing unit, at least a four-dimensional suppression of unwanted signals from the detected reflected electromagnetic waves, determining electromagnetic properties of the detected subsurface material layers through spiral estimation, calculating, for detected material layer at least, a dielectric permittivity, a conductivity, a wavelength and a skin depth based on the reflected electromagnetic waves.

The invention belongs to the technical field of polarization imaging, and particularly relates to a polarization dimension reduction imaging method, system and device based on principal component analysis, and the method comprises the steps: splitting a 0-degree polarization image from an original polarization image as a parallel polarization state image, and splitting a 90-degree polarization image as a vertical polarization state image; respectively extracting a background area and a target area; estimating the background intensity at the infinite distance in the original polarization image and the polarization degree of back scattering light; performing principal component analysis on the data matrix, and performing PCA dimension reduction and feature extraction to obtain a first feature value and a second feature value; and taking the first characteristic value as the total light intensity of the original polarization image, taking the second characteristic value as the light intensity difference between the parallel polarization state image and the vertical polarization state image, calculating the transmissivity of the original polarization image, and correcting the inherent radiation of the target area to obtain a final imaging image. According to the invention, the problem of light intensity estimation deviation at infinity in polarization imaging and the problem of transmissivity distortion caused by data redundancy are solved.

The present disclosure relates to a bulk acoustic wave (BAW) resonator, which includes a bottom electrode, a top electrode structure, and a ferroelectric layer vertically sandwiched in between. Herein, the ferroelectric layer, which is formed of a ferroelectric material having a box-shape polarization-electric field curve, includes a border portion and a central portion surrounded by the border portion. The border portion includes an antiparallel part having a first polarization and a parallel part having a second polarization in an opposite direction to the first polarization. The first polarization of the antiparallel part and the second polarization of the parallel part at least partially cancel each other out, such that an absolute value of a combined polarization of the border portion is smaller than an absolute value of a central polarization of the central portion. The central portion is configured to provide a resonance of the BAW resonator.

A dynamic 3D light scattering particle size distribution measurement device includes a polarization splitter for generating an s laser beam with perpendicular polarization and a p laser beam with parallel polarization that travels parallel to and spaced apart from the s laser beam. A lens is used to focus the s laser beam and the p laser beam onto a common focus area inside a sample holder holding a sample whose particle size is to be measured. An s light intensity detector measures a time-resolved s light intensity from s backscattered light from the focus area. An s-polarisation filter allows perpendicularly polarized light to pass, resulting in s measuring light, and includes a light detector for time-resolved intensity measurements of the s measuring light. A p light intensity detector measures a time-resolved p light intensity detects p backscattered light from the focus area, and includes a p polarization filter that allows parallel polarized light to pass. A light detector provides for time-resolved intensity measurement of the p measuring light, and an evaluation unit automatically calculates the particle size distribution from the time-resolved p light intensity and the time-resolved s light intensity.

The invention provides a flare-removing water surface target segmentation method and system based on polarization feature fusion, and the method comprises the steps: firstly constructing a polarization multi-feature deep fusion frame, and remarkably improving the recognition capability of a small target in a complex environment, such as strong dazzle light, through the combined utilization of the polarization features of the degree of polarization (DOLP), the polarization angle (AOP) and the parallel polarization radiation (PPR); secondly, designing a GFNet enhanced network based on a Retinex theory, carrying out coding separation and fusion on PPR and AOP images, inhibiting dazzle light, enhancing target details, and outputting a high-quality enhanced image (PPRen); and finally, constructing a CDDFuse fusion network and designing a two-stage training mechanism, firstly training the GFNet to enhance the network and optimize the dazzle light removal capability, and then training the CDDFuse fusion network by adopting PPRen and DOLP to realize frequency domain feature decomposition and fusion, thereby improving the target and background distinguishing capability and remarkably improving the segmentation precision and robustness of the system.

The invention relates to the technical field of disaster early warning, in particular to a target identification method based on laser radar multi-source data fusion, and the method comprises the steps: S1, transmitting a polarization laser beam to a monitoring area through a laser radar, and receiving a backscattering signal; s2, calculating a depolarization ratio of the back scattering signal, and distinguishing smoke particles and non-smoke particles based on the depolarization ratio; the depolarization ratio is the ratio of the intensity of a vertical polarization component to the intensity of a parallel polarization component in the back scattering signal; and S3, based on the distinguished smoke particle information, determining whether a fire danger occurs and triggering an alarm. According to the invention, by using the physical characteristic of the depolarization ratio, fire smoke and water vapor fog drops can be fundamentally distinguished, the false alarm rate in hazy weather is significantly reduced, the accuracy and reliability of fire danger identification are improved, and accurate identification and accurate positioning of fire danger smoke are realized by using the multi-dimensional detection capability of the laser radar.

The application relates to the technical field of optics, in particular to a low-crosstalk channel modulation interference polarization spectrum detection method and system, which comprises a half-field telescope module, a phase modulation module, an interference modulation module and a detection module; the half-field telescope module is used for collimating an input target light beam in a lower half field, the target light beam is parallelly transmitted to the phase modulation module according to a set range, a compound polarization beam splitter prism group in the phase modulation module performs a light splitting operation based on the target light beam output by the half-field telescope module, two parallel polarization lights are emitted, and independent phase modulation of the two lights is ensured; the interference modulation module is used for performing light splitting modulation according to the two polarization lights, ensuring that the two polarization light beams after modulation interfere and are transmitted to the detection module to be imaged. The system improves the detection precision of narrow-band polarization spectrum or polarization spectrum with obvious narrow-band wave peaks and narrow-band absorption peaks, and has strong polarization spectrum detection capability and wide application range.

The invention provides a variable temperature stress detection method based on a transverse wave birefringence sound-to-time ratio. Comprising the following steps: 1, calibrating a sample, and measuring propagation time in a parallel polarization direction and transverse wave propagation time in a vertical polarization direction; 2, calculating a sound-time ratio according to the obtained propagation time, and obtaining a stress calculation formula; 3, measuring transverse wave velocities in the sample at different temperatures to obtain a temperature-wave velocity coefficient, and measuring transverse wave propagation velocities in a parallel polarization direction and a vertical polarization direction in the sample at a calibration temperature to obtain temperature correction coefficients in the two directions; 4, correcting the propagation time of the transverse wave in the parallel polarization direction and the propagation time of the transverse wave in the vertical polarization direction by using the temperature correction coefficient obtained in the step 3; 5, substituting the corrected propagation time and the temperature correction coefficient into the stress calculation formula in the step 2 to obtain a shear wave birefringence temperature correction stress calculation formula based on the sound-time ratio; and 6, measuring the propagation time and the temperature difference of the transverse wave in the sample, and substituting into a correction stress calculation formula to obtain a corresponding stress value.

The present invention provides a polarization code construction method, apparatus, and device based on parallel polarization of underwater acoustic channels. The method comprises: transmitting a first OFDM signal containing a polarization code encoding sequence at a transmitting end to a receiving end via an OFDM underwater acoustic communication system; performing polarization processing on the OFDM parallel underwater acoustic channel to obtain multiple polarization sub-channels, and performing reliability analysis on the polarization sub-channels to obtain a polarization code construction result; combining characteristic information of the polarization code construction result to determine whether the sequence to be transmitted meets the call conditions of the polarization code construction result; if so, selecting a target polarization sub-channel according to the polarization code construction result to transmit the sequence to be transmitted from the transmitting end to the receiving end; if not, repeating the process to obtain a new polarization code construction result. The present invention can significantly reduce the communication bit error rate to ensure reliable data transmission, and can also effectively improve the high complexity of polarization code construction caused by the need for repeated measurements in existing technologies.

The invention discloses a giant clam shell waste image data acquisition processing method and system, and relates to the technical field of giant clam shell waste image processing, and the method comprises the steps: obtaining a black level map, a response uniformity correction map and two working wavelength channel gains based on a black field map and a white board map; the method comprises the following steps: collecting four images under parallel polarization and orthogonal polarization, correcting, uniformizing, calculating a common mode item and a difference item, and normalizing to obtain a dual-polarization dual-wavelength interference difference index graph; and generating a confidence map in combination with the saturated pixel mask and local noise estimation, and performing robustness to obtain an effective pixel mask and a statistic set, and finally forming a sample data packet. According to the invention, anti-interference, stable, comparable and traceable detection of the tridacna waste image data can be realized.

A kind of live body recognition depth camera, comprising: light source, for projecting infrared light with first power;Parallel polarizer, located on the light path of the infrared light, to make the infrared light with polarization state irradiate on target object;First multifunctional polarizer, located on the reflection signal light path of the target object, and at least including parallel polarization and vertical polarization two states;First infrared sensor, for receiving the reflection signal passing through the first multifunctional polarizer;Processor, for calculating first AOP according to the reflection signal of the parallel polarization and the vertical polarization, to determine whether the target object is live body.The present application has the characteristics of multi-dimensional information, good noise suppression, high accuracy, good identification effect.

The application provides a SERF inertial measurement device nuclear spin lossless flip method, relates to the technical field of quantum precision measurement and inertial navigation, and lossless inverts the nuclear spin polarization direction by applying a specific radio frequency magnetic field to the SERF inertial measurement device. The frequency and amplitude of the applied radio frequency magnetic field change over time, so that the effective magnetic field experienced by the nuclear spin in the rotating coordinate system changes slowly from initially parallel to the polarization direction to the opposite polarization direction, thereby realizing lossless inversion of the nuclear spin polarization direction. The application has important significance for realizing online rapid measurement of nuclear polarization rate, developing a new type of inertial measurement output scheme and further suppressing system slow drift error.

The present invention provides a transceiver co-located polarization laser radar system based on an optical rotator. In the transceiver co-located polarization laser radar system, the echo signal light obtained based on the outgoing signal light generated by a pulsed laser includes the signal light in the parallel polarization state and the signal light in the vertical polarization state. Since the polarization beam splitter cannot reflect the signal light in the parallel polarization state, the polarization plane of the echo signal light is rotated by the optical rotator to adjust the polarization state of the echo signal light, and the optical rotator is respectively put into the working state and the non-working state, so that all the polarization states in the echo signal light can be reflected by the polarization beam splitter to the signal detection and data processing system, which makes up for the defect that the polarization beam splitter can only reflect the signal light in one polarization direction, so that the transceiver co-located polarization laser radar system can analyze all the polarization information of the polarized light in different directions in the echo signal light, which greatly expands the detection performance and application scope of the polarization laser radar.

This application discloses a method and system for locating printed paperboard based on visual image segmentation and edge detection, relating to the field of printed paperboard positioning. The method includes: acquiring parallel polarization images and cross-polarization images of the target substrate; combining the parallel polarization images and cross-polarization images using a pre-set dual-channel neural network to determine parallel polarization features and cross-polarization features; determining a parallel glare mask based on the parallel polarization features; adjusting the feature weights of the cross-polarization features based on the parallel glare mask to obtain adjusted cross-polarization features; fusing the adjusted cross-polarization features and parallel polarization features to obtain a fused feature map; inputting the fused feature map into a pre-set semantic segmentation network model to obtain an edge probability map of the target substrate; and determining the edge position of the target substrate using a contour connection algorithm based on the edge probability map. This application can effectively improve the positioning accuracy of printed paperboard.

The application discloses a three-dimensional face data acquisition device, comprising: a transmitting device, an image acquisition device and a polarization adjusting device, the transmitting device is used for transmitting light to the collected object, the image acquisition device is used for collecting polarization data for three-dimensional reconstruction, and the polarization adjusting device is used for adjusting the polarization direction of polarized light; the transmitting device comprises a light source module, the light source module emits unpolarized white light for polarization, which is used by the polarization adjusting device; the image acquisition device comprises two color cameras, a first color camera is used for collecting cross-polarization data, and a second color camera is used for collecting parallel polarization data; the polarization adjusting device comprises a polarization direction adjusting device and an analyzing direction adjusting device; the polarization direction adjusting device is used together with the transmitting device to form a polarizer, and the white light is converted from unpolarized light to polarized light through the polarizer; the analyzing direction adjusting device is used together with the image acquisition device to form an analyzer, the direction of the analyzer is adjusted, and the polarized light corresponding to the direction is collected.

The invention relates to the technical field of data analysis, in particular to a method and device for distinguishing old and new paper sheet articles and a medium, and the method comprises the steps: obtaining a collection image of a target paper sheet article based on a camera system; performing multi-scale linear feature detection on the acquired image to obtain a crease loss feature value; determining a stain loss characteristic value and a texture degradation characteristic value according to the acquired image; and according to the crease loss characteristic value, the stain loss characteristic value and the texture degradation characteristic value, determining a new and old evaluation index of the target paper sheet article, and determining the new and old evaluation index of the target paper sheet article according to a parallel polarization image and a vertical polarization image collected by a dual-polarization camera system. And reliable data support is provided for new and old evaluation of the paper sheet-shaped articles.

The invention provides a nuclear spin lossless inversion method for an SERF inertial measurement device, relates to the technical field of quantum precision measurement and inertial navigation, and aims to perform lossless inversion on a nuclear spin polarization direction by applying a specific radio frequency magnetic field to the SERF inertial measurement device. The frequency and amplitude of the applied radio frequency magnetic field change along with time, so that an effective magnetic field sensed by nuclear spin in a rotating coordinate system slowly changes from an initial parallel polarization direction to an anti-parallel polarization direction, thereby realizing lossless inversion of the nuclear spin polarization direction. The method provided by the invention is of great significance in realizing on-line rapid measurement of the nucleon polarizability, developing a novel inertial measurement output scheme and further suppressing the slow drift error of the system.

The present invention provides a method for testing Raman-inactive interlayer breathing modes of semiconductor slices, which relates to the field of spectroscopy technology. The method comprises: preparing a multilayer two-dimensional semiconductor slice sample on a composite silicon substrate using a transition metal chalcogenide; finding a sample to be tested on the surface of the composite silicon substrate using an optical microscope, wherein the tested area forms a phonon-optical cavity; measuring the low-wavenumber micro-Raman spectrum of the sample in parallel polarization and cross-polarization configurations using a low-wavenumber micro-Raman spectrometer; and subtracting the low-wavenumber micro-Raman spectrum in the cross-polarization configuration from the low-wavenumber micro-Raman spectrum in the parallel polarization configuration to obtain a breathing mode Raman spectrum of the sample, thereby determining the Raman-inactive interlayer breathing modes of the multilayer two-dimensional semiconductor slice sample. The Raman-inactive interlayer breathing modes of the multilayer two-dimensional semiconductor slice sample can be detected by the strong coupling effect between the phonon cavity and the optical cavity of the multilayer two-dimensional semiconductor slice sample on the composite silicon substrate.

The invention relates to the field of identification and radio frequency identification, in particular to a dual-polarization RFID array antenna anti-serial-reading system and a positioning method. Comprising a label, a reader, an upper computer, a first antenna array element and a second antenna array element, linear polarization characteristics of the first antenna array element and the second antenna array element are in polarization orthogonality, the label sends label data information to the corresponding antenna array elements with parallel polarization, and the reader numbers unit arrays through a feed network and transmits the label data information to the upper computer; and the upper computer receives the tag data information transmitted by the reader and is bound with the first antenna array element or the second antenna array element, and if the identification area is bound with the unit array, the tag can be directly positioned. According to the invention, a dual-polarized antenna scheme is adopted, the polarization characteristic of the antenna and the characteristic of the 8-shaped radiation pattern are utilized, and the antenna array elements and the tags are placed, so that the anti-serial-reading effect between the reading areas is realized, and the method is also suitable for realizing the anti-serial-reading effect at a short distance.

The invention provides a polarization code construction method, device and equipment based on underwater acoustic channel parallel polarization, and the method comprises the steps: transmitting a first OFDM signal containing a polarization code coding sequence to a receiving end at a transmitting end through an OFDM underwater acoustic communication system; performing polarization processing on the OFDM parallel underwater acoustic channel to obtain a plurality of polarization sub-channels, and performing reliability analysis on the polarization sub-channels to obtain a polarization code construction result; judging whether the to-be-transmitted sequence meets a calling condition of the polarization code construction result or not in combination with the feature information of the polarization code construction result; if yes, according to the polarization code construction result, selecting a target polarization sub-channel to send the sequence to be transmitted from the transmitting end to the receiving end; and if not, repeating the process to obtain a new polar code construction result. According to the method, the communication error rate can be remarkably reduced to ensure reliable transmission of data, and the problem of relatively high polar code construction complexity caused by repeated measurement in the prior art can be effectively improved.

The invention discloses a radar vertical detection sand and dust weather monitoring method, system and device and a medium, and belongs to the technical field of sand and dust weather monitoring, and the method comprises the steps: collecting a laser back scattering echo signal; the method comprises the following steps: carrying out polarization separation processing on a laser back scattering echo signal to obtain a parallel polarization signal component and a vertical polarization signal component; calculating a signal intensity ratio through the parallel polarization signal component and the vertical polarization signal component to obtain a depolarization ratio parameter; comparing and judging the depolarization ratio parameter with a preset sand and dust threshold value, and obtaining sand and dust particle identification information according to a judgment result; performing spatial height analysis and vertical height statistics through the sand and dust particle identification information to obtain a sand and dust weather detection result and sand and dust vertical profile data; and comprehensively outputting the sand and dust weather detection result and the sand and dust vertical profile data as sand and dust weather monitoring information. According to the invention, a laser radar backscattering polarization separation technology is adopted, and accurate identification of sand and dust particles is realized by analyzing a depolarization ratio parameter.

The invention relates to an optical isolator (1) transmitting a passing beam (2), which is divided into a first beam (22) in a perpendicular polarization (s) and a second beam (24) in a parallel polarization (p), these two polarizations being orthogonal, the first, respectively second, beam propagates along a first, respectively second, optical path.According to the invention: the first beam passes through a first polarization rotator, a polarizing optical element, a second polarization rotator and a second retardation plate, and the second beam passes through the second polarization rotator, the polarizing optical element, the first polarization rotator, and a first retardation plate,The two beams are in a mutually identical polarization state, when they are incident on a plurality of reflecting surfaces, which are placed on both the first and second optical paths, the first beam now in the parallel polarization and the second beam now in the perpendicular polarization are recombined to reform the passing beam. Figure for abstract Fig.5.

The invention discloses a fruit and vegetable quality grading processing method and system based on machine vision, and relates to the technical field of fruit and vegetable quality grading processing, and the method comprises the steps: collecting parallel polarization component images and vertical polarization component images of fruits and vegetables at different incident angles; performing brightness profile extraction on the parallel polarization component image and calculating millimeter half-peak width; carrying out equivalent motion broadening compensation in combination with the conveying speed and the exposure time to obtain a corrected half-peak width, and calculating a polarization retention rate based on a gray scale ratio of the parallel polarization image to the vertical polarization image; generating a coupling index by using the corrected half-peak width and the polarization retention rate, constructing a sliding reference set based on historical data, and determining upper and lower bound thresholds through a robust statistical method; and finally, grading the quality of the fruits and vegetables according to the threshold value, and dynamically updating the sliding reference set. The fruit and vegetable quality grading stability and accuracy can be improved.

The invention provides a method and a device for judging the number of polarized branches of a hybrid equivalent circuit of oil-paper insulation equipment, and relates to the technical field of hybrid equivalent circuits, and the method comprises the following steps: obtaining a depolarization current curve of the oil-paper insulation equipment through testing, carrying out secondary differential on the depolarization current curve, and multiplying time to obtain a secondary differential time-domain spectral line of the depolarization current; and further analyzing the number of peak points of the spectral line and the abscissa parameter value of the spectral line so as to judge the number of RC series polarization branches and the number of RC series-parallel polarization branches in the series-parallel equivalent circuit. The method is simple, scientific and reasonable, can truly reflect the actual polarization branch number of the hybrid equivalent circuit of the oil-paper insulation equipment, and lays an important foundation for accurately evaluating the aging state of the insulating medium of the oil-paper insulation equipment based on equivalent circuit parameters.

This invention relates to the field of jewelry testing technology, and provides a light source adaptive adjustment device for jewelry testing, including a base and a worktable. A multispectral array light source is arranged above the worktable, and a camera is arranged on one side of the multispectral array light source. The multispectral array light source provides ultraviolet light, white light, near-infrared light, and various monochromatic visible light. A lens switching mechanism is installed at the output end of the multispectral array light source, which can switch the lens to a condenser lens or a diffuser lens. A third motor is fixedly installed on the camera, and a polarization mode switching disk is installed on the output shaft of the third motor. The polarization mode switching disk consists of four sets of polarization mode plates, which correspond to no polarization mode, single polarization mode, cross polarization mode, and parallel polarization mode, respectively. Through the coordinated automatic switching of the lens and polarization mode, multi-level and multi-dimensional observation from the surface to the interior is realized, improving the testing efficiency.

The application discloses a living body recognition device, which comprises a light source for projecting infrared light at a first power; a parallel polarizer located on the light path of the infrared light to irradiate the target object with the polarized state; a multifunctional polarizer located on the reflection signal path of the target object and comprising at least two states of parallel polarization and vertical polarization; an infrared sensor for receiving the reflection signal passing through the multifunctional polarizer; and a processor for calculating a first AOP according to the reflection signals of the parallel polarization and the vertical polarization, and determining whether the target object is a living body. The application has the characteristics of multi-dimensional information, good noise suppression, high accuracy and good recognition effect.

The present disclosure generally relates to an apparatus (100) and method for measuring an object (200) embedded in a structure (210). The apparatus (100) comprises: a first antenna (110a) and a second antenna (110b) with respective perpendicular and parallel polarizations; a measurement instrument (120); and a control system (130). The measurement instrument (120) transmits and measures radio signals reflected from the object (200). The control system (130) generates a first representation (250) and a second representation (260) of the object (200) based on the measured radio signals from the first antenna (110a) and second antenna (110b), respectively. The control system (130) then measures a size of the object (200) from the first and second representations (250,260).

The invention discloses a living body skin detection method based on multispectral depolarization. The method comprises the steps that optical parameters are initialized and matched with the environment; starting a hardware system, synchronously acquiring facial RGB video data of the subject in parallel and cross polarization modes, and covering multiple parts such as cheeks and necks; key frame images in parallel polarization and cross polarization modes are extracted from the collected video, a B channel interfered by mirror reflection is abandoned, and R and G channel data are reserved; the extracted dual-polarization image data is preprocessed, noise is suppressed, and the subsequent calculation efficiency is improved; the R / G channel ratio in the dual-polarization mode is calculated, the intensity difference is obtained after normalization processing, and a living body skin heat map is constructed; the initial heat map H is optimized, invalid areas are removed, features are smoothed, living body skin area features are strengthened, and meanwhile visualization is completed; and judging whether the living body skin exists in the image or not according to the feature signal of the living body skin area in the heat map, and outputting a detection result to complete living body recognition. According to the method, image skin area detection and recognition are carried out through dual-polarized light source time-sharing irradiation and a lightweight algorithm, and meanwhile high recognition precision, high robustness and real-time performance are taken into consideration.