172results about How to "Improve detection ability" patented technology

The invention discloses a capture probe group for detecting pathogenic microorganisms and application of the capture probe group. The nucleic acid sequence of the capture probe group comprises a sequence as shown in SEQ ID NO. 1 to SEQ ID NO. 101. The capture probe group can cover and detect 119 types of bacteria, 32 types of fungi, 41 types of DNA viruses and 71 types of RNA viruses and covers common infectious disease pathogens, the kit containing the capture probe can cover and detect 88 types of drug-resistant and virulence genes, the detection performance of pathogenic microorganisms is greatly improved, and the sensitivity and specificity are improved.

The invention discloses a millimeter wave radar intelligent anti-interference method and system for an underground complex electromagnetic environment. The method comprises the following steps: S1, acquiring underground electromagnetic environment data by using a sensor; s2, performing calculation based on the underground electromagnetic environment data to obtain multi-dimensional state representation of the millimeter wave radar in an underground complex detection environment; s3, obtaining an anti-interference performance analysis index based on the underground electromagnetic environment data, and constructing a radar anti-interference intelligent efficiency evaluation model based on the anti-interference performance analysis index; s4, calculating an anti-interference optimal strategy by using a deep reinforcement learning algorithm based on the underground electromagnetic environment data, the multi-dimensional state representation and the radar anti-interference intelligent efficiency evaluation model; and S5, adjusting parameters of the deep reinforcement learning algorithm in real time based on an evaluation result of the radar anti-interference intelligent performance evaluation model and underground electromagnetic environment data, and obtaining a real-time updated underground complex electromagnetic environment-oriented millimeter wave radar intelligent anti-interference result.

The invention belongs to the field of lunar exploration and in-situ resource utilization, and particularly discloses a lunar lava pipe three-dimensional modeling method and system, and the method comprises the steps: carrying out the fusion of multi-modal data of a lunar lava pipe, and obtaining a basic three-dimensional model; the multi-modal data comprises point cloud data collected by a laser radar, point cloud data collected by a surrounding device penetrating radar, a three-dimensional image collected by a stereoscopic vision camera and a thermal image collected by an infrared thermal imager; respectively inputting a complete area in the basic three-dimensional model into a generation model based on the CGAN and the VAE, and correspondingly obtaining two three-dimensional completion models; and carrying out weighted fusion on the two three-dimensional complementation models to obtain a complete three-dimensional model of the lunar lava pipeline. According to the method, the integrity and precision of the three-dimensional model of the lunar lava pipeline can be improved, and technical support is provided for deep detection of the lunar lava pipeline.

The invention provides a strip-shaped long-distance unmanned aerial vehicle sensing countering system and method along a railway, and relates to the technical field of rail traffic safety. The system comprises an unmanned aerial vehicle detection device arranged at a key node along a railway and used for detecting an unmanned aerial vehicle; the unmanned aerial vehicle countering device transmits a controllable interference signal to interfere with the unmanned aerial vehicle; the signal receiving and directional transmitting equipment is used for receiving, amplifying and redirectionally transmitting the interference signal or the radio signal transmitted by the unmanned aerial vehicle; the rear-end intelligent management and control platform is used for receiving the signal information, analyzing the threat level in real time, selecting a countering strategy and implementing directional interference through equipment; the method comprises the steps of equipment deployment, detection and early warning, data analysis, instruction issuing, signal emission and interference, and response and dynamic adjustment. According to the invention, the problems of insufficient coverage, poor identification precision and single countering means in long-distance and strip-shaped scenes along the railway in the prior art can be solved, and real-time sensing and dynamic countering of the unmanned aerial vehicle are realized.

The invention discloses a laser radar zero-blind-area detection system and method based on automatic switching of far and near fields, and solves the problem of low signal receiving efficiency of detection blind areas and far and near fields 100 meters below the ground in the prior art. According to the system, laser emission beams are respectively transmitted along coaxial and off-axis paths through a light splitting module, an aperture diaphragm automatic adjusting device is introduced, a receiving aperture is automatically switched according to far and near field imaging characteristics, and efficient coupling of signals and optimized receiving under a weak light condition are ensured. The system combines far and near field signals to the same optical path by using an automatic beam combination switching device, realizes multichannel signal detection, and supports multifunctional atmospheric parameter monitoring such as aerosol, Raman scattering and the like. The control and data processing system automatically manages signal switching and data processing, operation is simplified, and data reliability is improved. The technology is obviously superior to the prior art in the aspects of detection precision, system integration degree and multifunctional detection capability, and system complexity and cost are reduced.

The invention provides a data processing method based on image information fusion, which can be applied to the technical field of space object detection, and comprises the following steps: acquiring M frames of long exposure images and N frames of short exposure images; extracting information of a dark space object forming a point image from the long-exposure image to obtain a function that the motion trail and the flow of the object change along with time; extracting information of a dark weak source from the short exposure image, wherein the information of the dark weak source comprises a first position and a first flow; calculating a second position and a second flow of the object at the short exposure image acquisition moment based on the motion trail and the function of the flow changing along with time; determining the real position and the real flow of the object based on the position error and the flow error; and obtaining dark space object observation data. And high-precision positioning of the object in the dark space is realized by fusing information of the object in the dark space in different exposure images. The invention further provides a data processing device and equipment based on image information fusion and a medium.

The invention relates to a CMOS voltage-controlled oscillator applied to an anti-interference unmanned aerial vehicle millimeter wave radar, which belongs to the field of millimeter wave radar design and comprises a resonance circuit, a negative resistance active circuit and two switching circuits with the same structure. The resonant circuit comprises a switched capacitor, a blocking capacitor, a resonant capacitor, a grounding resistor, a tuning resistor and a resonant inductor; the negative resistance active circuit comprises a cross coupling pair MOS tube and a current source. Each switch circuit comprises a switch MOS tube, a grounding resistor and a switch coupling inductor. The dual-phase transformer structure is used, the resonant inductor and the switch coupling inductor are mutually inducted, and therefore the inductance value of the resonant inductor is changed, and frequency band switching is achieved; vCO bandwidth tuning is realized through a combination mode of switch-on and switch-off of a switch capacitor and switch-on and switch-off of a switch coupling inductor; the CMOS technology is adopted for design, and miniaturization and integration of the VCO are achieved. While the performance and layout area of the voltage-controlled oscillator are ensured, the full-band broadband tuning range is realized, thereby improving the detectability and resolution of the millimeter wave radar, enabling the unmanned aerial vehicle to realize frequency hopping communication and spread spectrum communication, and effectively improving the anti-interference capability and safety of the unmanned aerial vehicle.

The invention relates to a light and miniature big-target-surface low-light lens, and the lens comprises a front lens group A, a diaphragm B and a rear lens group C, wherein the front lens group A, the diaphragm B and the rear lens group C are sequentially arranged in an incident direction of an optical path. The front lens group A includes a positive meniscus lens A1, a negative meniscus lens A2,a biconcave lens A3 and a biconvex lens A4, wherein the positive meniscus lens A1, the negative meniscus lens A2, the biconcave lens A3 and the biconvex lens A4 are sequentially arranged in an incident direction of the optical path. The biconcave lens A3 and the biconvex lens A4 are in close connection with each other as a first bonding group. The rear lens group C includes a biconcave lens C1, abiconvex lens C2, a biconvex lens C3, a plano-convex lens C4 and a negative meniscus lens C5, wherein the biconcave lens C1, the biconvex lens C2, the biconvex lens C3, the plano-convex lens C4 and the negative meniscus lens C5 are sequentially arranged in an incident direction of the optical path. The biconcave lens C1 and the biconvex lens C2 are in close connection with each other as a secondbonding group. The invention also relates to an imaging method of the lens. The lens is reasonable in design, effectively improves the imaging quality under the requirement of the large target surfaceof the lens, reduces the number of optical lenses, and realizes light and miniature lens. The lens has strong light collecting and light transmitting ability, and the target surface of the lens is large. The lens is high in optical resolution, is large in angle of view, and is large in observable range.

The invention discloses an underwater acoustic array arrival angle estimation method, device and equipment based on self-adaptive kernel width hybrid correlation entropy and a medium, and relates to the technical field of underwater acoustic parameter estimation, and the method comprises the steps: carrying out the optimization processing of an initial data matrix based on a preset hybrid correlation entropy noise filtering method and a self-adaptive kernel width value, and obtaining a target data matrix; performing array arrival angle estimation on the target data matrix to obtain spatial spectrum information used for representing a target orientation; and when the estimated angle difference between any signal sources in the spatial spectrum information is greater than a preset angle difference, judging that the spatial spectrum information is effective estimation. According to the invention, the DOA estimation precision of the underwater acoustic array can be effectively improved.

The invention belongs to the field of transient electromagnetic detection, and particularly relates to a weak coupling transient electromagnetic system based on a differentiating circuit, which is characterized in that a transmitting coil and a receiving coil are arranged in a central loop manner, the centers of the transmitting coil and the receiving coil are overlapped and coplanar, and the receiving coil is positioned in the coverage range of the transmitting coil; the transmitting power supply provides electric energy for the transmitter, the Hall sensor sleeves the transmitting coil and is used for detecting current in the transmitting coil, the Hall sensor converts the current into voltage signals and outputs the voltage signals to the differentiating circuit, and the output end of the differentiating circuit and the output end of the receiving coil are connected to two input ends of the subtraction circuit. The output end of the subtraction circuit is connected into a data acquisition card through an amplifier, and the data acquisition card inputs acquired data into an upper computer to record secondary field signals. According to the method, the limitation of the traditional structure on the size of the receiving coil is overcome, weakening of emission energy is avoided, and meanwhile secondary field signal damage possibly caused by a traditional numerical calculation method is avoided.

The invention provides a polarization integrated imaging detection module applicable to a severe environment, and relates to the technical field of image detection. The system comprises an optical lens, a polarization CMOS sensor, a data transmission link, a control transmission link and an on-chip integrated processing system. Wherein the exposure consistency of the multi-polarization-angle images is ensured by performing acquisition and exposure adjustment on the images at four polarization angles and executing a brightness normalization algorithm, so that the problem of brightness unbalance during multi-image fusion of a traditional exposure algorithm is avoided; besides, through local dynamic range optimization, global gamma correction and a multi-scale fusion method, texture and brightness characteristics at different polarization angles are reserved, and clear and reasonably exposed image generation is realized. The defects in the aspects of atmospheric haze, underwater imaging and strong reflected light processing in the prior art are overcome, high-resolution and high-frame-rate real-time clear imaging is achieved, and reliable image support is provided for various application scenes.

The invention discloses an avalanche diode and a detector, as one example, the avalanche diode includes a substrate; the first electrode has a first doping type, and the first electrode extends into the substrate from one surface of the substrate; the second electrode has a second doping type, the second electrode extends into the substrate from one surface of the substrate, and the second electrode and the first electrode are arranged at an interval; and the diversion structure is annularly arranged on the outer periphery of the first electrode, and the diversion structure extends into the substrate from the first surface. The avalanche diode of the technical scheme of the invention can improve the detection efficiency and is beneficial to production and preparation.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.

This invention discloses an artificial intelligence-based method and system for the inspection and control of power distribution networks using unmanned aerial vehicles (UAVs). Relating to the field of UAV power inspection technology, the method includes: adjusting the UAV's pose in real time based on target perception feedback during the inspection process to actively align with the target and acquire images of power components; uploading valid images from the selected images to a cloud-based management platform; identifying power component entities in the selected images and constructing a spatial semantic graph based on the spatial distribution relationships between components; performing topological logic reasoning and feature consistency analysis on the spatial semantic graph to identify abnormal component states and determine the power logic attributes of faulty components; generating maintenance instructions based on the identified abnormal states and power logic attributes and pushing them to the terminal. This invention addresses the problems of high redundancy in original images, insufficient physical positioning accuracy leading to ambiguity in component logical identity identification, and difficulty in identifying long-tail atypical hidden dangers during power distribution network inspection.

The invention provides a multi-band composite high-integration TR assembly. The multi-band composite high-integration TR assembly comprises a shell, a front multi-layer board, a back multi-layer board, a C / X / Ku band receiving and transmitting circuit, a C / X / Ku band single receiving circuit and a Ka band receiving and transmitting circuit, wherein the front multi-layer board and the back multi-layer board are connected in the shell, the C / X / Ku band receiving and transmitting circuit is connected with the front multi-layer board, and the Ka band receiving and transmitting circuit is connected with the back multi-layer board. The low-cost scheme design of an all-solid-state microwave multilayer board suitable for batch production and testing is adopted, ports and transmission line layout are reasonably designed, multi-band composite mode transmission is achieved in the form of the front face and the back face, a C / X / Ku-band transmitting circuit and an H-polarization receiving circuit are integrated on the front face, and the transmission efficiency is improved. A C / X / Ku frequency band V polarization receiving circuit and a Ka frequency band receiving and transmitting circuit are integrated on the reverse side, different functional circuits are respectively transmitted through a microstrip line and a strip line through an interface circuit structure covering 1-40 GHz and an in-board vertical transition structure, the isolation degree of different circuits is improved, mutual crosstalk between different signals is avoided, and the transmission efficiency is improved. And the functions of high integration, high consistency, ultra wide band, numerical control phase shift, numerical control attenuation and the like of the assembly are realized.

The invention relates to the technical field of data processing and state monitoring, and discloses an intelligent ring main unit fault real-time diagnosis method and system, and the method comprises the steps: constructing a fault feature over-complete dictionary; collecting and preprocessing high-frequency operation data streams of the ring main unit in real time; carrying out online sparse decomposition and manifold mapping based on the dictionary, and converting a high-dimensional signal into a low-dimensional sparse coefficient and manifold features; and a lightweight classification model is used for rapid reasoning, and fault early warning and data uploading are triggered when abnormity is detected. The system comprises a data acquisition module, a preprocessing unit, an edge computing engine, an intelligent diagnosis module and a communication gateway. According to the method, depth dimension reduction and feature enhancement are realized through a manifold sparse coding technology, the bandwidth pressure and the calculation overhead are reduced on the premise of ensuring the fault feature integrity, and the real-time performance and the accuracy of diagnosis are improved.

The invention discloses a target tracking-oriented unmanned cluster formation configuration design method, which comprises the following steps of: constructing a target motion model and an observation model of an unmanned cluster to a target; constructing a detection performance evaluation index of the unmanned cluster and a target tracking performance evaluation index of the unmanned cluster; establishing an unmanned cluster initial formation configuration optimization model for target tracking; establishing an unmanned cluster formation track optimization model for target tracking; and respectively solving the unmanned cluster initial formation configuration optimization model facing the target tracking and the unmanned cluster formation track optimization model facing the target tracking in combination with an interior point method. According to the method, the detection performance and the target tracking precision of the unmanned cluster can be maximized, the requirements of unmanned cluster spacing and maneuvering limitation can be met, the optimal formation initial configuration and the optimal formation route planning scheme at the subsequent moment can be obtained, and the detection tracking performance of the unmanned cluster is effectively improved.

The invention belongs to the technical field of radar signal processing, and particularly relates to a radar signal processing method, which adopts a broadband linear frequency modulation continuous wave as a transmitting signal, receives an echo signal from a detection target, and mixes the two signals to obtain a difference frequency signal. For the difference frequency signal, a compensation frequency item is determined through a preset analysis rule, and frequency compensation is carried out, so that the problems of range migration, parameter estimation precision reduction and the like caused by high-speed motion of the target are solved. In addition, corresponding compensation processing is completed in a digital domain in a linear mode and comprises the steps of compensation coefficient calculation, clutter suppression and the like. Besides, through simulation verification, the method can effectively correct a target distance unit under set parameters, such as signal carrier frequency 35GHz, emission bandwidth 600MHz and the like, and the detection capability of the radar on a high-speed target is remarkably improved.

The invention discloses an optical lens imaging system and an optical lens defect detection method, and relates to the field of optical lens detection.The system comprises a conveying belt, a large-face transmission imaging module, a large-face reflection imaging module, a small-face reflection imaging module, a small-face transmission imaging module and a control module, and different types of light sources are arranged at four detection points respectively. Multi-angle imaging is carried out from the upper direction and the lower direction of a lens, a grating modulation technology is adopted for parallel light transmission point positions, the internal defect display effect is enhanced through differential processing, and the detection method comprises the steps that preprocessing such as segmentation, difference, enhancement and registration is carried out on six images; constructing a multi-branch feature extraction network, and adopting a priori guided feature fusion mechanism; constructing a defect detector comprising classification, positioning and quantification; according to the invention, comprehensive detection of defects on the surface and inside of the lens is realized, the sensitivity is high, the efficiency is high, the structure is compact, and the method is suitable for industrial mass production.

The application discloses a kind of pulse Doppler radar weather cloud clutter automatic filtering methods, belong to radar data processing technical field.The method utilizes the statistical characteristics of weather cloud clutter on radar echo spectrum diagram, and the spatial position and motion characteristics of radar track in monitoring area, realizes the automatic identification and effective elimination of weather cloud clutter, reduces false track, and improves the detection performance of radar to "low, slow and small" target.

The invention relates to the field of unmanned aerial vehicle groups, and aims to solve the problem that an existing detection means cannot quickly and accurately classify and judge anti-unmanned aerial vehicle cluster low-slow small targets. A grouping detection and group parameter estimation method based on a photoelectric detection unmanned aerial vehicle group target is provided, a single-frame image of the unmanned aerial vehicle group target is collected, and the pixel position coordinate and the pixel gray value of each unmanned aerial vehicle in the single-frame image are extracted; setting the pixel gray scale of each unmanned aerial vehicle in the single-frame image to be 1, setting the gray scale of other background pixels to be 0, outputting pixel position coordinates with the pixel gray scale being 1, and performing normalization processing to obtain target point coordinates; the obtained target point coordinates serve as input of a clustering algorithm for clustering processing, and a final clustering center of the multiple group targets is obtained; and fitting the sample points of the group targets through a principal component analysis method to form an elliptical shape, and obtaining the center position, main axis direction, long and short axis length and eccentricity information of each group target, thereby completing the initial grouping detection of the unmanned aerial vehicle group targets.

This invention provides a gimbal device and its control system for mounting microwave radar on a drone. The device includes a gimbal box, a gimbal cover, an upper arm, a lower arm, an upper arm cover plate, a first three-phase brushless DC motor, and a second three-phase brushless DC motor. One end of the lower arm is connected to the gimbal box via the first three-phase brushless DC motor, and the other end is connected to the upper arm via the second three-phase brushless DC motor. The first three-phase brushless DC motor is fixedly connected to the lower arm, and its rotating shaft is connected to the gimbal box. The second three-phase brushless DC motor is fixedly connected to the upper arm, and its rotating shaft is connected to the lower arm. The top of the upper arm is connected to the drone chassis. This invention provides a horizontal and pitch adjustment support device and system, which, through coordinated structural, hardware circuit, and software program control, achieves the functions of maintaining the radar incident angle of the drone's flight attitude and data transmission.

The invention relates to a road boundary width identification method and device, a radar and a readable storage medium. The method comprises the following steps: obtaining point cloud information collected by a vehicle radar, performing position division on all static point clouds according to a plurality of distance resolution units preset in a plurality of target detection directions of the vehicle radar and transverse positions of the static point clouds, and determining a target distance resolution unit where a peak value of the number of the point clouds in each target detection direction is located; for each target detection direction, determining the single-side road boundary measurement width of the current frame in the corresponding target detection direction according to the distance value corresponding to the target distance resolution unit; filtering the single-side road boundary measurement width of the corresponding current frame according to the road width historical information to obtain the filtered single-side road boundary width of the current frame; and false targets in the stationary point cloud can be detected based on the single-side road boundary width of the current frame. By adopting the method, the detection performance of the radar in a closed scene can be improved.

This invention relates to the field of optoelectronic detection technology and discloses an online detection system for screen color uniformity based on dynamic rotating polarization spectrum. The system includes an online transmission module for carrying and driving the illuminated screen under test to move continuously along a set direction at a set speed; and a combined optical encoding module, positioned above the screen under test, comprising a static spatial-spectral phase delay mask and a continuously rotating polarization modulator arranged sequentially along the beam propagation direction. By driving the screen to continuously translate using the online transmission module, and cooperating with the continuously rotating polarization modulator and hyperspectral acquisition module to acquire dynamic spatiotemporal aliasing data, the accuracy of the spectral dimension can be guaranteed. Furthermore, by extracting high-precision chromaticity parameter matrices and multidimensional polarization distortion feature matrices from the decoupled and reconstructed optimal polarization spectral tensor solution, the system's ability to detect complex internal quality problems can be significantly enhanced.

The invention discloses a data processing method for realizing target detection and tracking during radar advancing, and belongs to the technical field of radar data processing. Firstly, data resources of a radar platform during advancing are obtained by means of positioning and orientation equipment, and calculation of a Doppler compensation value and an airspace scanning angle compensation value is achieved by means of the resources. Secondly, performing data preprocessing and spatial calibration on radar data issued by signal processing to obtain trace point data containing longitude and latitude height information; and then selecting a reference point in a geodetic coordinate system, constructing an inter-travel amplitude clutter map, and judging and marking clutters according to the clutter map to obtain a target trace point. Then, a sector where the target is located is calculated according to target trace point information, and a target track is formed through a track processing algorithm. And finally, selecting a tracking target, and carrying out beam pointing angle calculation on the selected target to complete target tracking. According to the invention, target detection and tracking during radar advancing are realized.

The invention relates to the technical field of crossing of artificial intelligence and software engineering, and discloses an AI generation code recognition method based on a multi-modal feature fusion model, which comprises the following steps of: obtaining global features of a method source code sample to be recognized, and performing word processing on the whole source code by adopting a sub-word level word processing strategy; distinguishing the sub-words based on the sub-word types to realize sub-word level separation modeling of the code stream and the annotation stream; carrying out fusion through bidirectional cross attention to obtain window-level local semantic representation; splicing the window-level text local representation and the method-level global feature to obtain a window-level fusion vector; inputting the window-level fusion vector into a classifier to obtain a window-level probability set; when the maximum probability in the window-level probability set is larger than a threshold value during prediction, the method is judged to be AI code generation, and otherwise, the method is judged to be human compiled code. According to the method, the generalization ability of the model can be improved, and the detection ability of local AI generated fragments and the engineering application feasibility are improved.

The invention belongs to the technical field of sonar buoys, and particularly relates to a buoy underwater cable upward releasing device which comprises a water surface cabin shell, a cable cabin shell, an underwater cabin component and a cable releasing mechanism. The buoy underwater cable upward releasing device can remotely control a buoy to select the depth state and quickly release a cable, the detectable depth range of the buoy is greatly expanded, and the buoy underwater cable upward releasing device is suitable for being popularized and applied. And the floating stability of the buoy and the detection performance of the sensor are not interfered.

The utility model relates to the technical field of camera equipment, in particular to a two-section type 360-degree rotation high-definition camera, which comprises a flexible shaft transmission mechanism, a detection end of the flexible shaft transmission mechanism is fixedly connected with a connecting base, a camera shell is rotatably arranged on the connecting base, a rotation reset camera is rotatably arranged in the camera shell, and the rotation reset camera is fixedly connected with the flexible shaft transmission mechanism. The rotation reset camera is provided with a high-brightness LED lamp and a 1080P simulation high-definition lens. The camera shell is controlled to rotate in the connecting base through the nine-axis sensor, and the rotary reset camera is controlled to rotate in the camera shell through the nine-axis sensor; the high-brightness LED lamp and the 1080P analog high-definition lens are connected with the controller through electric signals; the beneficial effects of the utility model are that: the definition of a standard definition lens is not enough; the problems that 360-degree / 180-degree resetting is not accurate, use is not facilitated, the brightness of an LED lamp is insufficient, and turning detection and detection connection cannot be carried out are solved.

The present invention relates to a transceiver device comprising: a light emission layer comprising at least one light emitter adapted to generate and emit emission light; the light emitting layer is stacked on the light detection layer, the light detection layer comprises at least one detection unit, the detection unit is configured to receive and detect incident light, and the beam combining layer is arranged on an optical path of the emitted light and the incident light. And is configured to at least partially separate the incident light from the emitted light.

The application provides an instance constraint change detection method and device for broken image patches of remote sensing images, and relates to the technical field of intelligent remote sensing image processing. The method comprises the following steps: performing image slicing on the obtained front and rear time-phase images and inputting the images into a pre-trained instance constraint change detection network (including a backbone network, a feature fusion module, an instance constraint decoding module and an instance constraint loss, the instance constraint loss is used to calculate the loss of each change patch in the image during model training, and the loss of all change patches is accumulated for gradient update), to obtain a predicted change map containing the patches; then, small patch filtering, hole filling and contour simplification are performed to obtain a patch optimization result; finally, raster filling and vector conversion operations are performed to generate a target change vector result. The application can accurately detect the change area, ensure the accuracy and recall rate, and take into account the integrity and smoothness of the change patch, thereby significantly improving the precision of change detection.