215 results about "Photon counting" patented technology

The invention relates to a solid-state laser radar ranging method and system based on neural network processing, and belongs to the technical field of laser radar ranging, and the method comprises the steps: obtaining a laser echo signal when laser radar detection is carried out on a surrounding target object, and obtaining a photon counting histogram based on the laser echo signal; preprocessing the photon counting histogram, and inputting the preprocessed photon counting histogram into a pre-trained neural network model to obtain a peak confidence map containing an echo peak value and a peak time offset map; on the basis of the peak confidence map and the peak time offset map, obtaining one or more echo peak values of which the confidence exceeds a predetermined threshold and time position information of the one or more echo peak values of which the confidence exceeds the predetermined threshold; and based on the time position information, the distance information with one or more target objects is determined, so that the time position information measurement accuracy of one or more echo peak values is improved, and the laser radar ranging accuracy is improved.

The invention discloses a side slope displacement monitoring method and device based on quantum single photons and a medium, and belongs to the technical field of displacement monitoring. Rectangular light pulses are emitted periodically, echo detection is completed by using a single photon detector, a photon counting time sequence is constructed, wavelet denoising and reconstruction processing is performed on the photon counting time sequence, main peak position offset, energy change and form distortion are extracted to match multiple types of feature vectors, and feature fusion and resolving are performed through a multi-source feature fusion BP neural network. And finally outputting a high-precision slope displacement result. According to the method, the quantum single-photon detection technology is combined with the wavelet denoising and neural network fusion algorithm, noise interference is effectively suppressed, the displacement feature extraction precision is improved, and the method is suitable for high-precision and long-distance slope micro-deformation real-time monitoring.

The invention discloses an active and passive fusion water depth inversion method based on adaptive spectrum weighting, and the method comprises the steps: carrying out the atmospheric correction of a multispectral satellite image, extracting a target region, and removing a land region and a deepwater region; the method comprises the following steps: acquiring a seawater point cloud of a satellite-borne photon counting laser radar in a target area, extracting sea surface and seabed information, and performing refractive index correction and tide correction to obtain a reference water depth; matching each pixel in the multispectral satellite image with a reference water depth, and dividing the multispectral satellite image into a reference pixel and a to-be-measured pixel; according to the spectral value of the multispectral satellite image, the Euclidean distance between each to-be-measured pixel and all reference pixels is calculated, and the reciprocal of the distance is used as the weight of each reference pixel; and introducing a weight-to-weighted least square method, and fitting a relationship from the spectral value to the water depth for each pixel to be measured to realize water depth inversion of the pixels to be measured. The method can effectively improve the active and passive fusion water depth inversion precision when the water depth distribution is uneven and the shallow sea area environment is complex.

The invention relates to a point cloud denoising method of a photon counting laser radar and an intelligent denoising system, and belongs to the technical field of photon laser radar data processing. The technical problems that the performance of a fixed parameter denoising method is seriously unbalanced under different ground feature and complexity scenes, and high denoising rate and high signal fidelity cannot be considered at the same time are solved. Synchronously acquiring an optical image and an original photon point cloud of the target area; identifying the dominant ground feature type of the laser spot area through real-time semantic segmentation; calculating scene complexity based on the point cloud data and determining the grade of the scene complexity; querying a preset two-dimensional parameter mapping table according to the combination of the surface feature type and the scene complexity level, and dynamically obtaining an optimal denoising parameter set; and finally, the parameter set is utilized to drive adaptive denoising processing, and signal points and noise points are distinguished by calculating the local density and direction consistency of the points and constructing a two-dimensional discrimination space. The method is mainly used for real-time processing platforms such as unmanned aerial vehicles, and the point cloud denoising precision, the signal retention rate and the topographic feature fidelity are remarkably improved.

The invention relates to the technical field of security and protection monitoring, in particular to a barrier gate security and protection monitoring system based on quantum laser radar and AI vision. The method comprises the following steps: a quantum laser radar sensing unit performs three-dimensional distance measurement and imaging on vehicles in a barrier gate area by using a quantum laser radar, outputs initial target point cloud data, and performs space-time calibration on an initial point cloud data set in combination with quantum correlation characteristics and a scanning mechanism motion model to generate an anti-jitter point cloud data set; the AI visual perception unit collects a barrier scene image, identifies a vehicle bounding box by using a YOLOv8 model, and extracts a motion track of a vehicle in combination with a DeepSORT tracking algorithm; and the multi-modal data fusion unit fuses the target point cloud data subjected to space-time calibration with the recognition result based on a cross-modal attention mechanism. According to the method, the laser radar based on the quantum entanglement light source is adopted, and the quantum correlation noise base is effectively extracted through the two-photon counting matrix and quantum time / space correlation analysis.

The invention relates to the technical field of LED display, and discloses a photo-thermal crosstalk modeling and compensation method for a multi-chip LED display module, and the method comprises the steps: controlling an LED display screen to display a specific test sequence to a thermal stable state, and obtaining original hyperspectral data through a spectrum collection module; executing spectral unmixing to extract photon counting and peak wavelength of an independent channel; constructing a photo-thermal bidirectional coupling model containing a photoluminescence gain and thermal feedback attenuation competition mechanism, and performing numerical approximation by using a sequence space polynomial; solving a coefficient set containing linear, nonlinear and spatial crosstalk items by adopting a block least square method; and calculating a photo-thermal crosstalk predicted value based on the coefficient set, generating reverse compensation data and correcting the driving current. According to the invention, the problems of chromaticity drift and non-uniform brightness of the high-density LED module under different gray levels are effectively solved by quantifying a photo-thermal bidirectional competition mechanism and nonlinear characteristics of gray level response, and pixel-level fine calibration is realized.

The invention relates to the technical field of image processing and extremely weak light imaging, and particularly provides a photon counting image reconstruction method and system, and the method comprises the steps: determining a target threshold value based on the adjustment of a dynamic adjustment coefficient under different illumination or gain conditions based on an initial threshold value; counting a first photon number of a single photon signal in the background image and a second photon number of the single photon signal in the signal image based on a target threshold, and generating noise photon number statistical distribution and signal photon number statistical distribution to determine a dynamic photon number processing interval; and performing time-space joint accumulation on the pixels conforming to the dynamic photon number processing interval, generating a two-dimensional photon accumulation matrix, and converting the two-dimensional photon accumulation matrix into a gray level image to form a single group of reconstructed gray level images. According to the method, real signals can be effectively extracted, the influence of dark noise, shot noise and readout noise is suppressed, zero noise detection is realized, and finally, the dynamic range, the signal-to-noise ratio and the stability of the image are remarkably improved through single-group image reconstruction and multi-group integration processing.

The invention relates to a photon pulse sequence atlas construction method, system and device based on a photon counting method, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a plurality of photon counting data of a target insulation defect based on a photon counting method, constructing a phase resolution photon counting atlas based on the photon counting data, and splicing and sorting the phase resolution photon counting atlas to obtain a corresponding photon pulse sequence; the photon amplitude of each alternating current period can be obtained based on a photon pulse sequence built by a plurality of adjacent alternating currents, distribution characteristics of photon counting data can be obtained by combining a kernel density estimation formula, and a corresponding photon pulse sequence map can be built based on the distribution characteristics of the photon counting data. Therefore, a worker can directly distinguish the types of the insulation defects through the photon pulse sequence atlas.

A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of energy bin data that are generated based on execution of photon counting CT scan. The processing circuitry reconstructs a plurality of energy band images based on the plurality of pieces of energy bin data. The processing circuitry generates, based on the plurality of energy band images, a three-dimensional histogram based on a plurality of pixel values and a plurality of energy bands included in the plurality of energy band images.

The invention discloses a laser radar chip, a test system, a point cloud generation method and a readable storage medium. The laser radar chip comprises a transmitting module, a receiving module and a point cloud data processing module. The transmitting module transmits detection laser. The receiving module receives echo laser formed by reflection of the detection laser through the target object. The receiving module comprises a receiving array and a time conversion unit, the receiving array comprises a plurality of receiving units, each receiving unit comprises a plurality of receiving devices, and the time conversion unit obtains photon count values of each receiving device at different flight time according to the flight time of photons received by each receiving device. The point cloud data processing module generates point cloud data according to the photon count values of each receiving device at different flight times, one frame of point cloud data comprises a plurality of point cloud pixels, each point cloud pixel corresponds to one receiving unit, and each point cloud pixel comprises the ranging distance and the reflectivity of the target object. According to the scheme, the dynamic range of a single point cloud pixel can be improved.

This invention discloses a design method for a deep-sea in-situ fine-scale detection framework based on acoustic-optical remote sensing and VR technology. The main steps include: (1) studying the structure of the photon-counting lidar scanning system and the dynamic geometric relationship between the mother ship and the submersible, and constructing a calculation model for the lidar bathymetry point coordinates in the WGS84 spatial rectangular coordinate system; (2) considering the submersible's attitude, and based on the ray-tracking model and the geometric relationship between the mother ship and the submersible, constructing a calculation model for the multibeam bathymetry point coordinates in the WGS84 spatial rectangular coordinate system; (3) fusing the lidar and multibeam bathymetry points to construct a seabed topographic map; (4) proposing a development scheme and detection method for a deep-sea functional imaging spectrometer; and (5) constructing a VR environment for the deep-sea target survey area using a three-dimensional seabed topography model, rendering technology, and binocular stereo imaging technology. Through these steps, deep-sea in-situ fine-scale detection based on acoustic-optical remote sensing technology and the construction of a VR environment for the survey area can be achieved.

The application belongs to the field of spectral measurement and imaging, and specifically discloses a single-photon detection device and a rapid spectral and imaging system based on the same. According to the application, a transmission optical fiber spectrometer separates each waveband complex light according to wavelength in space, and couples the photons of different wavelengths into an optical fiber array for time delay, so that the different wavelengths are delayed to different time points and output to a single-photon detection device. The single-photon detection device converts the photons of different wavelengths arriving at the device in time sequence into electrical signals, and obtains the number of photons at different time points after amplification and signal processing, and converts the number of photons into a spectrum. Since the transmission spectrometer can provide higher diffraction efficiency, higher spectral resolution and signal strength, the single-photon detection device can provide a faster and more accurate photon discrimination and photon counting method, and compared with the prior art, the whole can measure the spectrum more quickly, and has higher spectral resolution and signal strength.

This invention relates to the field of photoelectric detection and performance monitoring technology, specifically to a real-time performance verification system for a safety light curtain based on pulse feedback. The system performs the following steps: based on the changes in the effective photon count of each pulse of the safety light curtain, the effective photon count of pulses whose decrease in effective photon count is due to transient interference is smoothed to obtain a photon transmission efficiency time series; based on the photon transmission efficiency time series, a dynamic derivative curve of the pulse edge is established, and pulses within a period where the core parameter of the dynamic derivative curve at the pulse edge continuously changes in a second-order direction towards the target direction are identified as abnormal pulses; each key time node of the abnormal pulse is determined; based on the changes in the differences between each key time node, the fault cause corresponding to the abnormal pulse is located, thus improving the accuracy of real-time performance monitoring of the safety light curtain.

The present disclosure provides a hybrid solid-state lidar with an increased signal dynamic range and a control method. The hybrid solid-state lidar includes: a laser transmitter unit, a laser receiver unit, a transmitting mirror, a receiving mirror, and a rotating polygon mirror, where the laser transmitter unit includes multiple power-and-pulse-width-adjustable vertical cavity surface emitting lasers (VCSELs); the laser receiver unit adopts a single photon avalanche diodes (SPADs) array sensor; and the laser transmitter unit performs at least one emission cycle during a single measurement. By dynamically adjusting emission parameters within a single ranging cycle, the present disclosure expands the signal dynamic range in a time coherent single photon counting (TCSPC) process, enhancing measurement precision of the lidar in both long-and short-range ranging.

Systems and methods include generation of a first image volume based on electrical signals output by energy-integrating photon detectors, input of the first image volume to a network trained to generate a simulated photon-counting CT image from an energy-integrating CT image, reception of a first simulated photon-counting CT image generated by the network in response to the input first image volume, and presentation of the first simulated photon-counting CT image on the display.

The application belongs to the technical field of photon imaging detection, and particularly relates to a photon counting imaging detection system based on a mixed anode. The system comprises a vacuum sealed tube detector composed of a window coated with a photocathode, a microchannel plate stack and a mixed anode, and a signal processing circuit. The photocathode is used for converting photons incident through the window into photoelectrons. The microchannel plate stack is used for converting the photoelectrons into electron clouds. The mixed anode comprises a strip anode and a delay line anode arranged orthogonally, and the mixed anode transmits the collected charge short pulses of each channel to the signal processing circuit. The signal processing circuit calculates the two-dimensional coordinates of the photons based on the collected charge short pulses of each channel, and then transmits the two-dimensional coordinates of the photons to a terminal for imaging display. The application provides a photon counting imaging detection system based on a cross strip-delay line mixed anode, and solves the problem that the existing position sensitive anode detector cannot simultaneously have high spatial resolution and high temporal resolution.

One embodiment is a method of deconvolving overlapping first and second pulses in a photon-counting CT scanning system, the method comprising detecting a first pulse event having a first detected level; detecting a second pulse event having a second detected level; determining an amount of time that elapses between the detected first pulse event and the detected second pulse event; and reconstructing the first pulse and the second pulse using the first and second detected levels, the duration of time between the first and second pulse events, and a known pulse shape.

The invention relates to the technical field of quantum sensing and optical instruments, and discloses integrated equipment for representing nitrogen vacancy color center quantum characteristics and sensing sensitivity, which comprises a laser module, an inverted optical microscope module, an electronic control and data acquisition module and a system software control module, the laser module realizes continuous laser beam output or pulse laser beam output through light path selection; the inverted optical microscope module receives the laser beam and collects the nitrogen vacancy color center of the sample, and selectively guides fluorescence to the confocal single photon counting branch or the analog signal detection branch through the light path selection mechanism; the electronic control and data acquisition module is responsible for driving each device and processing signals from different detection branches; and the system software control module cooperates with each module to execute quantum characteristic characterization and sensing sensitivity evaluation tasks. Through deep integration of software and hardware, dual-mode measurement is realized on a single platform, and the device has the advantages of high function integration level, compact structure, convenience in operation and high measurement efficiency.

The invention discloses a high-precision calibration method of a hyperspectral laser radar for photon counting, which belongs to the technical field of laser radars and comprises a spectrum calibration stage and a radiation calibration stage. Spectral calibration is used for extracting spectral response parameters of each channel based on wavelength-by-wavelength scanning of a monochromator and synchronous measurement of a beam splitter; a detection link is strictly decoupled through radiometric calibration, the effective attenuation coefficient of a water body is extracted in situ through a slope method, full-link radiation correction is carried out in combination with an air whiteboard reference and window transmittance, and the target intrinsic spectral reflectivity without interference is inverted. The method can be used for data correction, target accurate classification and identification and high-fidelity quantitative detection of the hyperspectral laser radar for photon counting, and solves the problem of serious spectral distortion of an original signal caused by non-uniform light source energy of the hyperspectral laser radar and complex scattering absorption of a water body.

This invention discloses a liquid crystal filter-based lidar chopping device for atmospheric wind and temperature detection, comprising a digitally controlled voltage output module, a liquid crystal module, a light guide module, a timing control module, a polarization beam splitter module, a frequency discriminator module, a reference channel photodetector, a frequency discriminator channel photodetector, a photon counting and acquisition card, a computer, a pulsed laser, a telescope, and a collimation module. This invention also discloses a liquid crystal filter-based lidar chopping method for atmospheric wind and temperature detection. This invention solves the problem of atmospheric wind and temperature detection being limited by the dynamic range of the photodetector; the received signal attenuation amplitude can be adaptively adjusted in real time, better adapting to weather changes. Furthermore, although liquid crystal filtering introduces some signal loss, wind and temperature detection typically uses the ratio of the reference channel and frequency discriminator channel signals for inversion, so the final result is independent of the liquid crystal's transmittance, thus avoiding the negative impact of liquid crystal filtering.

A method for imaging an object illuminated with natural light including arranging an optical filter in an optical path of at least a portion of the natural light that is reflected and / or refracted or scattered from the object; arranging an optical detector in an optical path of light at least one of reflected from and / or transmitted through the optical filter; detecting, using the detector, individual photons for a time period to provide a times series of individual photon events; segmenting the time series into a plurality of bins; determining a number of detected photons within each bin to provide a time series of photon counts per bin; replacing and / or reconfiguring the optical filter a plurality of times followed by detecting, segmenting and determining to obtain a plurality of times series of photon counts per bin; and forming an image of the object based on the plurality of times series.

The invention relates to high resolution PET-CT imaging using PCCT and an advanced generative model. Systems and methods for generating a high resolution photon counting CT (PCCT) and PET image using a pair of high resolution PET images from the same patient. A machine learning network is trained on pairs of images from a patient. When the trained model is applied, new patient's PET and PCCT images may be used to generate high resolution PET images for medical diagnosis or further processing.

According to the method for regulating and controlling the current density of the superconducting micron wire, the hole shape with a certain size is designed in the linear area of the winding superconducting micron wire, so that the current density of the superconducting micron wire is redistributed, the current density at the corner of the winding superconducting micron wire is reduced, and the current crowding effect of the superconducting micron wire is effectively relieved. According to the current density regulation and control method, the superconducting micron wire is allowed to work under higher overall bias current without causing too high dark counting, so that the photon counting rate upper limit of the detector is improved. According to the invention, the detection efficiency of the superconducting micron wire can be improved, dark counting and time jitter are reduced, the structure is simple, the current density is flexible to regulate and control, meanwhile, the device is easy to expand to the development of a large photosensitive area detector, and the device has a wide application prospect in the fields of quantum communication, bioluminescence imaging, dark substance detection and the like.

The invention provides an optical time domain reflectometry (OTDR) system based on double SPAD, which is characterized by comprising a laser (1), a three-port optical fiber circulator (2), a to-be-measured sensing optical fiber (3), a double SPAD circuit board (4), a circuit board traditional OTDR part (5), a circuit board photon counting OTDR part (6), a TCSPC (7) and an upper computer (8). The device can monitor optical fiber physical defects and breakpoints, measure connector position and loss, accurately measure optical fiber length, and can be widely used in the industries of experimental research, field engineering projects, maintenance and detection and the like.

The utility model relates to the field of precision injection molding parts, concretely relates to a precision injection molding part appearance defect detection device, including detection stage, the main part for precision injection molding part detection, drive display controller, the outside fixed setting in detection stage is used for detecting data observation, and the top fixed mounting of detection stage has appearance detection frame. The utility model is provided with appearance detection frame, fixing frame, prism frame, reflecting prism, spectral enhancement industry camera, photon counting sensor and exposure lamp, when using the precision injection molding part appearance defect detection device, can first let exposure lamp expose the workpiece below, when the appearance of precision injection molding part appears tiny defect, the halo of defect place is synchronously reflected by prism frame and reflecting prism before and after precision injection molding part, the photon counting sensor on the both sides of spectral enhancement industry camera receives and captures the halo, and passes data to drive display controller.

This invention discloses a direct snow depth inversion method based on a spaceborne photon-counting lidar, comprising: extracting the target snow-covered area, removing areas with thick cloud cover and non-target surface point clouds, aligning the surface, and performing noise correction; performing deconvolution to obtain a corrected snow attenuation backscattering profile; setting an initial snow absorption coefficient, inverting the backscattering path length distribution of non-absorbing snow, and calculating the first and second moments of this distribution; based on the first and second moments, simultaneously inverting snow depth, snow albedo, and diffuse scattering coefficient; combining the snow albedo and diffuse scattering coefficient to calculate an updated snow absorption coefficient; if the updated snow absorption coefficient does not meet the set convergence threshold, using the updated snow absorption coefficient as the new initial snow absorption coefficient, and repeating the iteration; if it meets the threshold, outputting the final snow depth. Using this invention, along-track snow depth inversion can be achieved directly without relying on any other data.

The invention discloses a multi-bit quantum image sensor based on single photon detection and a hardware system, and belongs to the technical field of quantum image sensors. The quantum image sensor comprises a photon detection array; each pixel in the photon detection array corresponds to one quantum response unit; an avalanche trigger circuit in the quantum response unit is used for detecting avalanche current caused when a photon detection unit detects photons and outputting a digital trigger signal; the quenching circuit is used for quickly terminating current after avalanche; the photon counting unit is used for counting the number of photon events within specified exposure time; and the multi-bit quantization unit is used for performing quantization coding on the photon count value based on the statistical characteristics of the photon events. According to the scheme, a hardware integrated processing architecture from quantum image acquisition to image reconstruction is formed, and the imaging effect of image reconstruction based on data acquired by the quantum image sensor is improved.

The application discloses a kind of based on bimodal resonance's photoacoustic-scattering aerosol dual-wavelength synchronous detection system and method, belong to photoelectric detection technical field, in the system, dual-wavelength light source modulation module generates two different frequency modulated laser, respectively from two ends into double-difference bulb pipe coupling photoacoustic-scattering combined gas cell;The gas cell includes the two ends of two acoustical tubes arranged in parallel and each is connected with an integrating sphere, form H type coupling structure;Scattering signal collection module, photoacoustic signal acquisition and processing module respectively acquire two-channel scattering photon counting data in two integrating spheres, sound wave signal in two acoustical tubes and two integrating spheres;Digital lock-in signal processing module based on FPGA outputs modulation signal to light source, and receives sound wave signal in two acoustical tubes and two integrating spheres to carry out full-digital demodulation and processing.The application effectively solves the problem of time-space asynchronization and sampling cumulative error caused by time-sharing multiplexing or multiple machine parallel connection.

The invention discloses a medical X-ray perspective grayscale adaptive control method based on histogram features, and relates to the technical field of medical X-ray imaging and medical image processing, and the method comprises the steps: extracting image histogram features, and adjusting a high-voltage generator and parameters in combination with an ABC curve to maintain the image grayscale stable; the method further comprises the following steps: constructing a multi-dimensional correction-real-time calibration contrast agent photon attenuation-histogram feature nonlinear mapping model, performing synchronous coupling control on real-time photon counting-histogram features, and completing parameter self-calibration by using a contrast agent attenuation critical threshold effect; according to the invention, through a nonlinear mapping model, an FPGA parallel architecture, physiological signal correction and one-frame pre-injection calibration, a contrast agent gray abrupt change time sequence difference is eliminated, overexposure and underexposure are avoided, and high-frequency clinical real-time accurate requirements are met; meanwhile, contrast agent concentration quantification and flow evaluation are achieved, trinity diagnosis and treatment assistance is formed, the missed diagnosis rate is reduced, and the clinical value of medical X-ray fluoroscopy equipment is remarkably improved.