26 results about "Passive imaging" patented technology

The invention discloses a passive imaging-based multi-spectral polarized light transmission characteristic test method, which relates to the technical field of optical engineering, and comprises the following steps of: performing space-time alignment and weighted fusion on a multi-spectral polarized image data set by using a multi-dimensional image fusion method to generate a polarization coupling matrix; inputting the polarization coupling matrix into a non-uniform polarized light transmission model, performing depolarization feature extraction by a multi-scale convolutional layer, performing inter-spectrum polarization correlation analysis by an attention mechanism layer, outputting a multi-spectrum polarized light transmission characteristic test scheme, inputting the multi-spectrum polarized light transmission characteristic test scheme into an optical simulation engine, and performing optical simulation on the multi-spectrum polarized light transmission characteristic test scheme. And driving the LabVIEW unit to execute polarized scattered light imaging simulation of the smoke environment. The advanced multi-dimensional image fusion technology and the non-uniform polarized light transmission model are adopted, the image data fusion and imaging simulation precision is improved, the problem of transmission characteristic inversion errors caused by registration deviation is effectively solved, and meanwhile the reliability and precision of transmission characteristic testing in the complex environment are greatly improved.

The present invention relates to sensor apparatus and methods and storage media. Methods for low-level fusion for silicon photomultiplier based sensors, i.e., SiPM-based sensors, are provided that can include circumventing light detection and ranging sensor processing paths, i.e., LiDAR sensor processing paths, to provide high-confidence low-level fusion between camera (passive) imaging and LiDAR (active) imaging. Systems and computer program products are also provided.

The application discloses a lightning stroke event online guided wave monitoring method and device for a composite material structure, and comprises the following steps: arranging a plurality of piezoelectric sheets in a composite material structure to be monitored to form a sparse piezoelectric array; when the outer surface of the composite material structure to be monitored is struck by lightning, lightning impact force guided wave response mechanical quantities are excited, and the generated mechanical quantities are conducted to the piezoelectric sheets; the lightning impact force guided wave response mechanical quantities are converted into lightning impact force guided wave response signals; the lightning impact force guided wave response signals are transmitted to a data acquisition module through an online sensing mode; the lightning impact force guided wave response signals are subjected to direct current component removal and filtering pretreatment; and through a lightning impact force guided wave response signal imaging monitoring mode of the sparse piezoelectric array, lightning attachment point impact force passive imaging results are constructed. The lightning stroke event online guided wave monitoring method and device can not only improve the quality of lightning piezoelectric guided wave response signals, but also can perform high-precision positioning and imaging on lightning attachment points.

A pixel system for an imaging device can include one or more pixels including a pulse trigger component configured to detect a pulse at one or more threshold voltages; a timer system forming a part of and / or connected with the one or more pixels, the timer system including one or more flip-flop switches. The pulse trigger component can be configured to initiate the one or more flip-flop switches in response to detecting the pulse at the one or more thresholds. The pixel system can include a time-of-flight (TOF) module operatively connected to the one or more pixels and / or the timer system to determine a TOF based on an output from the timer system when either or both of passive imaging and asynchronous laser pulse detection are performed simultaneously.

The invention discloses an ultrasonic cavitation passive imaging method combining H-SVD and MV-DMAS methods, and the method comprises the steps: obtaining an ultrasonic cavitation signal passively received by an ultrasonic receiving transducer array, and carrying out the processing of a signal received by one array element through a Hansel-SVD method, three groups of data signals representing treatment ultrasonic energy, transient cavitation energy and steady cavitation energy are separated; respectively carrying out MV-DMAS method processing on one group of data signals in the three groups of separated data signals representing treatment ultrasonic energy, transient cavitation energy and steady state cavitation energy to obtain focusing signals, carrying out energy time integration to realize long pulse light imaging, and carrying out logarithmic compression processing and scanning conversion to obtain three corresponding ultrasonic cavitation passive imaging images. Passive imaging and feature detection are performed on the generated ultrasonic cavitation phenomenon so as to monitor the cavitation generation position of ultrasonic treatment and analyzer features, and the ultrasonic treatment safety is improved.

The invention belongs to the technical field of multi-source heterogeneous perception and intelligent decision, and relates to a system and a method for intelligently tracking a spatial tiny target through compound eye perception guidance dynamic multi-modal fusion. The objective of the invention is to solve the problem that a low-altitude low-speed small target cannot be seen, cannot be seen clearly and is difficult to track in a complex environment. According to the invention, a multi-level closed-loop architecture with front-end enhancement, dynamic evaluation, deep fusion and online evolution is constructed. The core is that a bionic optical compound eye is reconstructed from a passive imaging device to an active enhancement and fusion guide center, and target super-resolution reconstruction is realized by utilizing the compound eye. The weight of each sensor is dynamically generated through the modal confidence evaluation network, and the deep cross-modal alignment fusion network is guided to carry out anti-interference information fusion. On-line learning and self-calibration capabilities are utilized to realize transition from static perception to dynamic intelligent disturbance rejection and have persistent evolution capability.

The invention discloses an infrared multi-mode composite imaging system based on an APD detector, and the system achieves the quick conversion of three modes through a switchable optical assembly: in a passive imaging mode, the detector receives a thermal radiation signal emitted by a target; in the active gating mode, a laser is utilized to irradiate a target, and set target depth-of-field imaging is realized by controlling a time window of a detector; in the active 3D imaging mode, a time flight method is used, and distance information of a target is obtained by emitting laser and receiving reflection echoes of the laser. Meanwhile, a double-layer fusion framework based on adaptive weight is designed, spatial distance information in an active 3D imaging mode is coded to a chrominance channel in a YCbCr color space, heat radiation information and object contour details in a passive infrared mode are coded to a brightness channel, and an image fusing two-dimensional heat information and three-dimensional space information is output.

The invention relates to a panoramic infrared search detection system and method with a high data rate, and the system comprises a servo rotating mechanism which is used for transmitting laser and infrared light to an infrared laser splitting element through azimuth scanning; the light splitting element is used for receiving the infrared light transmitted by the servo rotating mechanism and reflecting the laser emitted by the reverse scanning laser distance measuring sensor to the servo rotating mechanism; the reverse scanning laser distance measuring sensor is used for acquiring distance measuring information of each target in an azimuth scanning process through multi-pulse laser; the optical reflector is used for receiving the infrared light and totally reflecting the infrared light to the avalanche diode infrared sensor; the avalanche diode infrared sensor is used for outputting multiple frames of images with preset frequency; and the comprehensive information processing unit is used for splicing the multiple frames of images to obtain an infrared panoramic image higher than 5Hz. According to the invention, through combination of infrared passive imaging and laser ranging technical means, high-data-rate multi-target information rapid acquisition is realized in a lightweight manner.

This invention discloses a terahertz receiver and a focal plane camera device based on a variable capacitor. The receiver includes a connected zigzag inductor and interdigitated capacitors; each finger of the interdigitated capacitor is composed of closely arranged double-cross-shaped repeating units, enabling it to efficiently absorb terahertz waves without the need for an additional absorber. Terahertz radiation changes the dielectric constant of the dielectric, causing changes in capacitance and resonant frequency; detection is achieved by detecting these changes. The focal plane camera device includes an array of the aforementioned receivers. Each receiver is coupled to a zigzag-shaped center feed line via a coupling feed line, and each unit has a different resonant frequency, achieving frequency division multiplexing readout. This invention combines absorption and resonance functions into one, greatly simplifying the structure, achieving high absorption efficiency, possessing dual polarization and intrinsic frequency division multiplexing capabilities, and easily expanding into large arrays. It can be widely applied in fields such as high-sensitivity terahertz passive imaging and spectral analysis.

The application discloses a kind of single-photon laser active-passive imaging detection radars, comprising: laser emission module, laser ranging receiving module, focal plane imaging detection receiving module, timing control and ranging signal processing module, active-passive imaging data separation module, data processing module;Laser ranging acceptance module accepts the laser echo signal of target reflection, and target distance calculation is completed by the timing control and signal processing module;The focal plane imaging detection receiving module is based on the periodic pulse string gate signal that the timing control and signal processing module emit, in the mth measurement period, active reception and processing of echo signal are completed, and passive reception and processing of n-1 measurement periods are completed;The active-passive imaging data separation module realizes the separation of active imaging detection data and passive imaging detection data;And by data processing module, according to preset data processing algorithm processing, corresponding target active imaging and target passive imaging are obtained.

The invention relates to a wide-width multi-angle visible light laser active and passive integrated aerial survey load. The load comprises a visible light imaging module, a near-infrared imaging module, a laser radar, a positioning and attitude determining system (POS) and a camera body supporting structure. Wherein the passive imaging module comprises a visible light imaging module and a near-infrared imaging module, the visible light imaging module is formed by splicing three cameras, and wide images are synchronously obtained in single flight. The laser radar is an active imaging module, and obtains a large amount of laser point cloud data by actively emitting laser. The laser radar module and the wide imaging module are systematically integrated, the laser radar, the visible light camera and the near-infrared camera work cooperatively under the condition that the field of view is overlapped, laser point cloud data can effectively compensate for image elevation errors, the problem of accuracy loss caused by single-dimensional splicing is solved, multiple application modes are achieved, and the application range is wide. And large-area terrain, landform and urban landscape information can be efficiently obtained.

This invention discloses a dispersion compensation method and system for broadband imaging using a passive liquid crystal optical phased array. Dispersion parameters are obtained by calibrating the dispersion length and overall translation at different orders using a point source. The field of view is electrically deflected at different grating orders to acquire passive observation images. The dispersion process during diffraction is modeled, and an imaging matrix is ​​constructed based on a forward model. Compressed sensing reconstruction is solved using sparse priors as regularization terms to directly reconstruct a high-dimensional data cube of the entire field of view. After reconstruction, the entire field of view scene reconstruction result is directly projected downwards to obtain the reconstruction result of the scene during a scanning process. Field clipping is performed on the multi-order reconstruction results to obtain imaging results of different fields of view at different scanning angles. This invention significantly suppresses dispersion blurring along the deflection direction without changing the physical aperture and pixels of the passive liquid crystal optical phased array, improving the clarity and resolution of passive imaging. It is applicable to broadband passive scenes such as 380–760 nm visible / near-infrared.

The present invention discloses a method for testing the transmission characteristics of multi-spectral polarized light based on passive imaging, which relates to the field of optical engineering technology. The method comprises: utilizing a multi-dimensional image fusion method to perform spatiotemporal alignment and weighted fusion of a multi-spectral polarized image dataset to generate a polarization coupling matrix; inputting the polarization coupling matrix into a non-uniform polarized light transmission model; extracting depolarization features using a multi-scale convolution layer; analyzing polarization correlations between spectral bands using an attention mechanism layer; outputting a multi-spectral polarized light transmission characteristic test scheme; inputting the multi-spectral polarized light transmission characteristic test scheme into an optical simulation engine, and driving a LabVIEW unit to perform polarized scattered light imaging simulation in a smoky environment. The present invention utilizes advanced multi-dimensional image fusion technology and a non-uniform polarized light transmission model to improve the accuracy of image data fusion and imaging simulation, effectively resolving the problem of transmission characteristic inversion errors caused by registration deviations, and significantly improving the reliability and accuracy of transmission characteristic testing in complex environments.

The present disclosure provides an infrared optical system for active and passive composite detection, and relates to the field of photoelectric detection, which comprises a shell, an infrared imaging mechanism comprising an infrared frame and an infrared lens group, the infrared frame is arranged in the shell, the infrared lens group is arranged in the infrared frame to form an infrared channel, and the infrared lens group is used for passive imaging of a target object; a laser detection mechanism comprising a laser frame and a laser lens group, the laser frame is arranged in the infrared frame in a separable manner, the laser lens group is arranged in the laser frame to form a laser channel, and the laser lens group is used for measuring the angle and distance of the target object; wherein the laser lens group and the infrared lens group are arranged eccentrically. The laser infrared composite detection optical system has the effects of small volume, light weight and low manufacturing cost.

The invention discloses an unmanned aerial vehicle capable of autonomously identifying a confrontation target and a method for autonomously identifying the confrontation target by the unmanned aerial vehicle. The unmanned aerial vehicle comprises a photoelectric guidance unit, an airborne flight control computer, a ground control station and a data terminal, the photoelectric guidance unit is installed at the head of the unmanned aerial vehicle, the airborne flight control computer is in communication connection with the photoelectric guidance unit through a serial port, the ground control station is in communication with the data terminal through a network port, and the data terminal is in communication connection with the photoelectric guidance unit. The photoelectric guidance unit is used for searching, detecting and locking the target, the anti-electromagnetic interference capacity is high, and the advantages of high precision and high resolution are achieved. The photoelectric control unit is low in cost, low in power consumption, small in size and capable of being installed on small and medium-sized unmanned aerial vehicles. The visible light camera in the photoelectric control unit is a passive imaging device and cannot actively emit signals, so that the visible light camera is not easily detected by enemies, and has good concealment.

The invention discloses a dispersion compensation method and system for wide-spectrum imaging of a passive liquid crystal optical phased array. Using a point source to calibrate dispersion lengths and overall translation of different orders to obtain dispersion parameters; performing electric control deflection on the view field under different grating orders to obtain a passive observation image; modeling a dispersion process in a diffraction process, constructing an imaging matrix based on a forward model, solving compressed sensing reconstruction by taking sparse prior as a regular term, and directly reconstructing a full-view-field high-dimensional data cube; after reconstruction is completed, direct downward projection is carried out to obtain a full-view-field scene reconstruction result in a scanning process; and performing field-of-view cutting on the multi-order reconstruction result to obtain imaging results of different fields of view under different scanning angles. On the premise that the physical caliber and pixels of the passive liquid crystal optical phased array are not changed, dispersion blurring in the deflection direction is remarkably restrained, the passive imaging definition and resolution capacity are improved, and the method is suitable for 380-760 nm visible / near-infrared wide-spectrum passive scenes and the like.

The invention provides a single-photon analog domain front-end circuit for an event-driven visual sensor, and relates to the technical field of digital-analog hybrid integrated circuits. The single-photon analog domain front-end circuit comprises an analog counting sub-circuit which is used for responding to reflected photons of a target scene in a preset time window, generating digital pulses and converting the digital pulses into a first voltage signal and a second voltage signal; the event-driven visual sensor unit is used for storing the first intensity value, subtracting the first intensity value from the second intensity value and outputting the intensity difference of adjacent frames; the high-low threshold comparator is used for comparing the intensity difference with a high threshold voltage and a low threshold voltage respectively to generate an event judgment signal; the output buffer is used for performing level shift processing on the event judgment signal and outputting an image; and the ADC unit is used for quantizing the second voltage signal into a digital signal. Therefore, on-chip resource consumption is low, the reading rate is high, and the defect that imaging is blurred when a high-speed moving object is recorded through traditional passive imaging is overcome.

The invention discloses a millimeter wave passive imaging super-resolution reconstruction method based on adjacent signal compensation, and the method comprises the steps: building a millimeter wave passive imaging receiving link output voltage time domain physical model under an integral effect, defining a system compensation coefficient, and deducing a theoretical steady-state output voltage through the segment end voltage difference of adjacent integral windows, and sub-pixel-level brightness temperature jump details are recovered, and the problem of brightness temperature signal blurring caused by an integral effect is solved. The method disclosed by the invention is applied to the millimeter wave passive imaging system, realizes low-complexity real-time processing under the conditions of not changing the existing hardware architecture and not increasing the system cost, can be quickly deployed to the existing passive imaging system, remarkably improves the resolution ratio, meets the high-precision detection requirements of scenes such as security detection and the like, and is suitable for popularization and application. The method can also be applied to other products with the signal fuzzy problem caused by the low-pass filtering effect in the integral sampling process, and the signal contrast can be remarkably improved.

The present application relates to the field of passive microwave millimeter wave imaging detection, and particularly relates to an interferometric passive microwave imaging system and method based on array beam forming, wherein the array beam forming comprises phased array beam forming and digital beam forming, and the data after array beam forming will be used to complete imaging detection by the interferometric passive microwave imaging method. A plurality of antenna units form a phased subarray, and the phased array beams formed by all the phased subarrays are directed in the same direction. A plurality of phased subarrays form a digital subarray, and the digital subarray generates digital beams within the phased array beam pointing range. A plurality of digital subarrays form an interference array, each digital subarray acts as a unit to participate in the interferometric correlation operation of the interference array, and the interference array completes the interferometric passive microwave imaging within the digital beam range.

This application discloses a target recognition system and method based on hybrid active-passive imaging. On one hand, it encodes waveforms of multiple echo signals acquired by multiple millimeter-wave radars using a first convolutional neural network to obtain multiple first feature matrices, and constructs these first feature matrices into a three-dimensional first feature map along the channel dimension. On the other hand, it encodes multiple images acquired by multiple cameras using a second convolutional neural network to obtain second feature matrices, and arranges these second feature matrices along the channel dimension to construct a three-dimensional second feature map. Then, it fuses the first and second feature maps to identify the target. This system integrates active imaging from multiple millimeter-wave radars and passive imaging from multiple cameras to perceive the target from different perspectives, thereby improving the accuracy of target recognition.

An imaging device including at least one detection element formed of a photodetector associated with and connected to a circuit for reading signals generated by the photodetector. The circuit is provided with an integration stage equipped with an integration capacitor for integrating charges coming from the photodetector, a pulse detection stage for detecting current pulses produced by the photodetector, and a bias stage. The circuit is further provided with an intermediate stage arranged between the bias stage and between respectively the integration stage and the pulse detection stage, the intermediate stage being provided with transistors forming a current mirror and producing on an input branch of the integration stage an image current of a given current delivered by the direct injection transistor, the intermediate stage being configured to convert the given current into a potential on an input node of the pulse detection stage.

The application provides a passive infrared imaging system based on parametric up-conversion, and relates to the technical field of infrared detection, and comprises: a pump laser for outputting pump light; a thermal radiation modulation assembly for receiving and modulating the radiation light of an object to be imaged and outputting modulated signal light to a back-wall mode microcavity chip; an optical filter; a photoelectric detector for detecting the output signal of the back-wall mode microcavity chip to generate light intensity information; the back-wall mode microcavity chip generates up-conversion light; a control and calculation imaging module for controlling the modulation process of the thermal radiation modulation assembly and receiving corresponding light intensity information, so as to obtain single-pixel up-conversion light intensity information and perform infrared image reconstruction. The application realizes high-sensitivity passive imaging of far-infrared spontaneous radiation light in an object at room temperature, and has the advantages of high integrability and imaging not affected by the size of a detector array.

The present invention relates to a terahertz self-oscillating source with an LED-like structure. The PN junction die of an impact avalanche transit time diode (IMPATT) and a resonant cavity for generating terahertz signals are integrally designed and combined together through microelectronic processes. Necessary constant current source excitation ports and output interfaces are designed to form a terahertz self-oscillating signal source similar to the structure of a light-emitting diode (LED), and a terahertz band emission signal array can also be formed, which is used as the emission source or pump signal of active and passive detection systems. This technology can be used in fields such as terahertz target detection radars, active and passive imaging, and broadband communications.

The high-uniformity room-temperature mid-wave infrared linear detector for passive imaging detection of the present invention and its application include a silicon substrate, a photosensitive region, and chromium / gold metal electrodes provided at both ends of the photosensitive region. The photosensitive region is a molybdenum disulfide / black phosphorus heterojunction region formed on the silicon substrate. The molybdenum disulfide / black phosphorus heterojunctions are integrated on the substrate in a side-by-side and spaced arrangement to form a 1×8 linear array. Among them, the chromium / gold metal electrode at one end is only in contact with molybdenum disulfide, and the chromium / gold metal electrode at the other end is only in contact with black phosphorus. The high-uniformity room-temperature mid-wave infrared linear detector for passive imaging detection of the present invention provides a highly sensitive and highly uniform room-temperature mid-wave infrared van der Waals heterojunction linear detector.

The present application discloses a shallow water underwater small sample target detection system and method, which can detect underwater obstacle threat targets through passive imaging mode. The system comprises a wide frequency vibration electromechanical cooperative image stabilization platform, a micro polarization imaging system, a real-time sea fog enhancement processing device, an edge neural network computing unit and an underwater feature degradation target small sample detection technology deployed thereon. The system can solve the problems of platform jitter, water mist degradation and insufficient samples in the process of detecting shallow water obstacle threat targets through passive optical imaging means. The system improves the imaging clarity from the front-end imaging device and the back-end processing algorithm, and contains an intelligent detection module and a computing unit, which can realize real-time detection and rendering output of underwater obstacle threat targets at a low cost.

The application provides a single-photon analog domain front-end circuit for an event-driven vision sensor, and relates to the technical field of digital-analog hybrid integrated circuits. The single-photon analog domain front-end circuit comprises: an analog counting sub-circuit, which is used for generating a digital pulse in response to reflected photons of a target scene within a preset time window, and converting the digital pulse into first and second voltage signals; an event-driven vision sensor unit, which is used for storing a first intensity value, subtracting the first intensity value from a second intensity value, and outputting an intensity difference of adjacent frames; a high-low threshold comparator, which is used for comparing the intensity difference with a high threshold voltage and a low threshold voltage respectively, and generating an event decision signal; an output buffer, which is used for performing level shift processing on the event decision signal, and outputting an image; and an ADC unit, which is used for quantizing the second voltage signal into a digital signal. In this way, on-chip resource consumption is small, readout rate is high, and the defect of imaging blur when recording high-speed moving objects in traditional passive imaging is overcome.