21 results about "Single photon imaging" patented technology

The invention provides a single photon array image data processing method and system based on time correlation, and relates to the technical field of image processing.The method comprises the steps that a photon event sequence with a timestamp and position information is obtained through a detector array, a four-dimensional space-time tensor is constructed, and space-time data is obtained through normalization and noise estimation; performing time sequence analysis on each spatial position and neighborhood in the spatio-temporal data to extract time sequence features, separating target features from the time sequence features, removing noise features and generating a time confidence map; inputting the time confidence map and the spatio-temporal data into a variational optimization model for joint optimization, and dynamically updating a time weight field and a spatial support domain in optimization according to the confidence map to obtain an initial reconstructed image; and finally, inputting the initial reconstructed image and the time confidence map into a neural network, and outputting a final image through modeling and residual path restoration. According to the invention, the signal-to-noise ratio and dynamic scene adaptability of single photon imaging under extremely low illumination are improved.

The invention belongs to the technical field of single-photon imaging laser radars, and discloses a self-adaptive photon denoising three-dimensional imaging method under sparse or strong noise counting, which is used for extracting echo area counting in a self-adaptive manner under different noise conditions and accurately positioning the echo counting according to the specificity degree of a counting value in a neighborhood, so that the accuracy of the echo area counting is improved. Laser flight time is obtained to obtain distance information, and all pixels are traversed and processed to realize accurate reconstruction of a target three-dimensional image. According to the method, the low-signal-background-ratio detection conditions of sparse echo counting and strong noise counting can be adaptively processed, and the method has better adaptability to various different detection environments and detection applications; echo positioning is carried out according to the time domain distribution characteristic difference of echo counting and noise counting in the counting histogram, the method can automatically adapt to the low signal background ratio condition of sparse counting and strong noise counting, and the method has good robustness for noise.

The invention discloses a synchronous signal-based single-photon array underwater detection method and system. The method comprises the following steps of: acquiring single-frame data of a single-photon array as original data; segmenting the data through photon number adaptive segmentation exposure time, and accumulating the segmented data through single-pixel photon arrival time to obtain a plurality of photon histograms; the shapes and features of the photon histograms of different pixels are counted to estimate the target depth and category, and the signal-to-noise ratio is calculated; solving the current environment on the basis of estimated target depth, category and signal-to-noise ratio parameters, updating gating gate width information and shooting data again until the gating gate width does not need to be optimized; and judging a target object by using the solved target depth and an imaging result on the target depth, and outputting a three-dimensional image, a gray image and a distance image of the underwater target. By accurately estimating the depth of the underwater target object, the underwater efficient imaging is realized, and the underwater operation robustness and imaging precision of the single-photon imaging system are enhanced.

The application discloses a kind of superconducting single-photon imaging circuit and method based on capacitance feedback, adopt lens and optical fiber as optical alignment system, the light to be measured from outside is converged to superconducting nanowire single-photon detector (abbreviation SNSPD) photosensitive area;Array superconducting nanowire single-photon detector is used as photoelectric converter, and the light signal is detected and converted into electrical signal;Imaging circuit based on capacitance feedback transimpedance amplifier (abbreviation CTIA) is used, and the electrical signal of each pixel response of array SNSPD is integrated respectively, and the integral voltage of response is obtained, finally, according to the integral voltage value of each pixel of array SNSPD, a gray scale image is obtained.

1. Name of the product in this design: Graphical User Interface for Long-Range Single-Photon Imaging Radar Application Software for Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The graphical user interface of this product is used to display the intensity map, depth map, three-dimensional imaging and single-photon count value status of distant targets, control the single-photon imaging process, set parameters and query, and analyze single-photon imaging performance. 7. Other situations requiring explanation: Other explanation: The electronic device is an existing design, and other views are omitted.

The application discloses a kind of depth-intensity joint optimization light weight SPAD neural network reconstruction methods, belong to single-photon imaging and depth learning technical field, including: based on wavelet transform to the original histogram data of SPAD array is carried out multistage wavelet decomposition, obtain compressed time-frequency domain data;Utilize multiscale superpixel to carry out non-maximum suppression, and obtain estimated depth map by voting mechanism;Local histogram is extracted from compressed time-frequency domain data, and sum along time dimension obtains intensity map;The estimated depth map is expanded, and expanded depth map is obtained;The double-branch complementary depth reconstruction network including depth branch, edge branch and perception interaction module is constructed;Real depth map and real edge gradient map are used to guide network, and training is carried out using joint loss function, to realize light weight SPAD neural network reconstruction.The method significantly improves the depth reconstruction accuracy under low illumination while greatly reducing the amount of calculation.

A spiking neural network system for single-photon imaging is disclosed. The system comprises: a light source for emitting a series of light pulses, one pulse per repetition period, for repeatedly illuminating one or more objects; a single-photon detector for detecting photons received from the one or more objects; a ring circuit connected to the single-photon detector, the ring circuit comprising a set of delay elements connected to one another thereby forming a ring structure, a respective delay element is configured to store a spike received from the single-photon detector, the ring circuit being configured to repeatedly rotate the spikes through the delay elements, a respective spike making a full rotation of the ring circuit in one rotation period such that the ring circuit is synchronized with the light source; a read-out circuit for reading out the spikes stored in the delay elements while maintaining the differences of arrival times of the spikes in the ring circuit; and a spiking neural network configured to receive the spikes from the read-out circuit to generate an image of the one or more objects.

1. The name of the design product: near-infrared free-running detector. 2. The use of the design product: can detect weak light at the single photon level, can be used in single photon laser radar, quantum key distribution, single photon imaging, fluorescence detection and other single photon detection fields. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention discloses a self-adaptive gating data acquisition method applied to a single photon array, and the method comprises the following steps: collecting an original data frame of a sensor detection target, and carrying out the preprocessing of the original data frame; judging the validity of the preprocessed data, and if the data is invalid, updating the collected array gating configuration; and if the data is valid, the collection is successful, and the valid data is visualized and exported. According to the method, data validity is discriminated in real time, when photon saturation caused by high luminous flux is detected, gating delay time of a next acquisition period is calculated and updated autonomously by using a decision algorithm based on reinforcement learning training, and an acquisition task in a high dynamic range is decomposed into multi-order sequential acquisition. By constructing intelligent closed-loop control, the system can automatically adapt to different illumination conditions, the stacking effect is effectively avoided, high-quality and distortionless single-photon three-dimensional imaging data can be stably obtained without manual intervention, and the application range of the single-photon imaging technology is remarkably expanded.

The invention discloses a self-adaptive defogging and real-time imaging method based on a single-photon array, and the method comprises the following steps: updating foggy object photon counting histogram data through employing original binary data obtained from a single-photon camera collection card, solving and updating foggy object distribution and signal-to-noise ratio parameters, estimating a single-pixel signal state code, and carrying out the self-adaptive defogging and real-time imaging. Sending a sampling and visual updating instruction; and according to the instruction, generating a depth map and an intensity map of the target area by using the current histogram data, calculating related physical parameters, and performing real-time visualization. According to the method, the fog distribution parameters can be accurately estimated, efficient defogging imaging under the dynamic change fog concentration is achieved, the robustness and the photon efficiency of the single-photon imaging system in the fog environment are enhanced, and the reliability of the single-photon imaging system in all-weather application is improved.

This invention relates to the field of satellite optoelectronic measurement and sensing technology, and particularly to a thermal management device and method for space optoelectronic imaging elements on satellites. The thermal management device includes a bracket, a metal shell, a circuit board, a secondary TEC cooling assembly, a heat sink, micro heat pipes, and a heat transfer fixing plate. Cooling is achieved through the secondary TEC cooling assembly, which is connected in series with the heat sink, micro heat pipes, and the satellite cabin's thermostatic plate. The heat sink, micro heat pipes, and heat transfer fixing plate form an integrated heat conduction chain. A large heat pipe is pre-embedded inside the satellite cabin's thermostatic plate, and heat is dissipated from the heat transfer fixing plate through internal working fluid circulation, completing the entire process of thermal management for the optoelectronic imaging element. This achieves thermal management and miniaturized design for large-area single-photon imaging elements. The heat transfer fixing plate provides the thermal management device with resistance to the space mechanical environment, making it suitable for aerospace engineering applications. The overall thermal management process is simple, convenient to operate, and provides reliable thermal management results.

The present application relates to the technical field of photon imaging, in particular to a single-photon post-selection Monte Carlo photon number imaging method. The present application provides a single-photon post-selection Monte Carlo photon number imaging method, comprising: determining reflectivity of a target to be measured and a reference plate respectively; dividing a space where the target to be measured is located into a plurality of spatial grids; shooting a pair of single photons in an entangled state to one of the spatial grids and the reference plate respectively according to a preset number of times to obtain average photon numbers of the spatial grids; assigning values to the spatial grids according to the average photon numbers; and imaging according to the assigned values of the spatial grids. The present application provides a single-photon post-selection Monte Carlo photon number imaging method, which can improve single-photon imaging capability.

The application discloses a kind of depth-intensity joint optimization light weight SPAD neural network reconstruction methods, belong to single-photon imaging and depth learning technical field, including: based on wavelet transform to the original histogram data of SPAD array is carried out multistage wavelet decomposition, obtain compressed time-frequency domain data;Utilize multiscale superpixel to carry out non-maximum suppression, and obtain estimated depth map by voting mechanism;Local histogram is extracted from compressed time-frequency domain data, and sum along time dimension obtains intensity map;The estimated depth map is expanded, and expanded depth map is obtained;The double-branch complementary depth reconstruction network including depth branch, edge branch and perception interaction module is constructed;Real depth map and real edge gradient map are used to guide network, and training is carried out using joint loss function, to realize light weight SPAD neural network reconstruction.The method significantly improves the depth reconstruction accuracy under low illumination while greatly reducing the amount of calculation.

The invention discloses a long-distance terahertz single-photon radar imaging method, electronic equipment and a storage medium. The method comprises the following steps: acquiring one-dimensional single-photon echoes of a plurality of groups of target scenes and corresponding three-dimensional depth images as a training data set; constructing and training a long-distance single-photon imaging neural network model by taking the one-dimensional single-photon echo as input and the corresponding three-dimensional depth image as output; and inputting the one-dimensional single-photon echo of the scene to be detected into the long-distance single-photon imaging neural network model, and outputting a three-dimensional depth image of the scene to be detected. According to the technical scheme of the invention, the one-dimensional single-photon echo of the target scene and the corresponding three-dimensional depth image are acquired as the training data set, the long-distance single-photon imaging neural network model is constructed and trained, and the one-dimensional single-photon echo of the scene to be detected is inputted into the trained neural network model. And outputting the three-dimensional depth image of the to-be-detected scene. The target three-dimensional depth information is accurately restored in a long-distance scene.

A time-stamped single-photon imaging method includes: acquiring a single-frame binary image containing timestamps by collecting sparse photons transmitted through a sample; obtaining an estimate of the spatial coordinates of the incident photons through PSF fitting and centroid averaging; obtaining an initial reconstructed image containing an estimate of the average photon number through timestamp reconstruction; and obtaining a final reconstructed image through denoising and optimization processing. This invention records the arrival time of photon events, reconstructs a probability distribution image of photons using a timestamp algorithm, and optimizes the image through post-processing algorithms such as position calibration and filtering / denoising to obtain a clear low-light imaging result.

The application provides a kind of cascade imaging system, comprising: detector module, cascade photon coincidence module and image reconstruction module;The detector module includes two opposite detectors;Two the object to be imaged is accommodated between the detector;The detector is gamma ray position sensitive detector, two the detector has time coincidence function;Without collimator;The detector module is used to realize single photon imaging and the data acquisition of cascade gamma photon coincidence imaging;The cascade photon coincidence module is used to determine cascade coincidence gamma photon pair by time window;The image reconstruction module is electrically connected with the detector module and the cascade photon coincidence module, for completing corresponding image reconstruction based on the data collected by the detector module.The application can simultaneously collect single photon and cascade photon coincidence information, without using collimator, greatly improving the sensitivity of the system, so that the image imaging quality is higher.

The invention discloses a convolutional spiking neural network recognition system and method for high-dynamic single-photon imaging, and the system comprises a photon event compression module which carries out the sparse processing and event flow reconstruction of a continuous photon trigger sequence in a high-dynamic range, so as to reduce the data bandwidth and highlight the effective photon trigger information; the counting pulse time conversion module is used for mapping the compressed photon event sequence to a time domain feature so as to realize unified expression of high photon flow and low photon flow conditions; the common-mode noise suppression module is used for filtering noise and intercepting effective data in a time domain; the pipelined convolution pulse operation module is used for performing efficient feature extraction on the preprocessed photon event data; and the storage module is used for storing the convolution weight and the neuron membrane potential required in the convolution operation module. According to the invention, real-time feature extraction with low resource consumption can be realized under a high-dynamic photon event condition, and SPAD image processing and intelligent identification performance can be improved.

The invention relates to a method for eliminating distance measurement ambiguity of a long-distance laser radar and a laser radar system, and belongs to the technical field of laser radars. The invention provides a pulse position modulation method and an echo signal processing algorithm, and provides a pulse position modulation type laser radar system realized on the basis of the method for eliminating the ranging ambiguity of the high-repetition-frequency long-distance laser radar. Based on the method for eliminating the ranging ambiguity of the high-repetition-frequency long-distance laser radar, the ranging ambiguity problem in the long-distance and high-repetition-frequency imaging laser radar can be effectively eliminated under the condition that no hardware is added, the original short pulse characteristic is ensured, the imaging capability is improved, and the cost is saved. Particularly, technicians in the field can clearly find that the method is not only suitable for pulse imaging, but also has good reference significance for phase ranging and single-photon imaging radar.

The invention relates to a single-photon time slice digital overlay method of a distributed spatial light interference telescope, and belongs to the field of spatial astronomical telescopes. The method comprises the following steps: 1) constructing a distributed spatial light interference light path, and carrying out co-phase adjustment; 2) interference imaging: observing a target source and recording measurement data; 3) screening the interference imaging data according to the optical path difference data screening range; and 4) carrying out data superposition on the screened measurement data to form an anti-disturbance high-contrast interferogram. Single-photon imaging slice data are screened through co-phase detection, it is guaranteed that slice data of a synthetic interference pattern are co-phase when co-phase control is insufficient, and effective observation of extrasolar planets is achieved.

The present application belongs to the single photon imaging detection technical field, especially relates to a kind of photon detection system based on discrete wedge strip anode, including the vacuum seal tube formed by the window coated with photoelectric cathode, microchannel plate stack and germanium film substrate, discrete wedge strip anode placed outside the vacuum seal tube and signal processor.The present application divides the wedge or strip connected together by existing four-electrode wedge strip anode or four-wedge anode, forms independent wedge and strip, then each wedge and strip is connected to independent preamplifier circuit, and the coordinates of incident photon are obtained by the decoding algorithm of four-electrode wedge strip anode or four-wedge anode.Because wedge and strip are independent, multiple incident photons synchronously arrived can be detected in the direction perpendicular to wedge or strip, and the count rate of detector is also improved.

This invention discloses a single-pixel imaging method based on adaptive Fourier spectrum sampling and fast iterative adaptive reconstruction. By adaptively sampling low-frequency and important high-frequency spectra, the number of samplings is minimized while improving image quality. The obtained sampled spectra are solved using an image sparse prior and an alternating direction method is introduced in the gradient space. A fast Fourier transform is also introduced to accelerate the solution process, significantly reducing computational complexity and solving the problems of slow imaging and poor real-time performance in traditional single-pixel imaging methods. This single-pixel imaging method can quickly obtain high-quality images, solving the problem of high-quality and fast imaging under conditions of slow spatial light modulator modulation frequency and low sampling rate. It has wide application value in terahertz imaging, infrared imaging, single-photon imaging, and X-ray imaging.