54 results about "Optical radar" patented technology

The invention discloses a forest grass wet carbon sink metering method and system, and relates to the field of carbon sink metering, and the method comprises the following steps: 1, collecting and processing multi-source data, 2, fusing the data, aligning the multi-source data, adopting a geographic registration and time synchronization technology, and unifying a spatial resolution and a timestamp, and 3, extracting features. 4, constructing a carbon sink dynamic model; and 5, carrying out carbon sink visualization and decision support. According to the forest and grass wet carbon sink metering method and system, multi-source data collaboration is achieved, optical, radar and laser radar data are fused, the defect that traditional carbon sink metering depends on ground sample plot survey or single remote sensing data is overcome, carbon sink contributions of forests, grass and wet lands are accurately distinguished, the overall spatial resolution is higher, cloud and mist interference is avoided, the single data source error is solved, and the measurement accuracy is improved. Through multi-source data fusion and dynamic model optimization, high-precision measurement and real-time monitoring of forest grass wet carbon sink are realized.

An optical radar device, a light source structure and the assembly process thereof are provided. The light source structure includes a light source module, a circuit board, a cover and a beam adjusting module. The light source module includes a substrate that includes a bearing surface, and a light source element that is disposed on the bearing surface and includes light emitting units. Each light emitting unit includes a light emitting portion. The light source module is disposed on the circuit board. The cover, disposed on the circuit board to cover the light source module, is a continuous piece and includes a light permeable portion that is disposed to face the light permeable portion. The beam adjusting module is disposed close to the light permeable portion. Light emitted from the light emitting portion passes through the light permeable portion and the beam adjusting module to form a working light beam.

The invention provides a flood event multi-mode retrieval method and device based on a semantic intensifier, and relates to the technical field of data retrieval, and the method comprises the steps: carrying out multi-stage semantic enhancement on keywords through a global flood event knowledge base and internet news information included in the semantic intensifier, then quality priority retrieval and preliminary screening are carried out to obtain a to-be-matched multi-source remote sensing image, and corresponding optical and radar image features and context semantic features of a semantic enhancement text are extracted from an image mode and a text mode respectively; and then fusing the features of the image modality and the text modality to obtain a multi-modality fusion feature, mapping to obtain the similarity between the semantic enhancement text and the to-be-matched multi-source remote sensing image, and finally determining a retrieval result of the keyword. According to the method and the device, the problems of low retrieval matching degree and low retrieval efficiency caused by lack of semantics and difficulty in acquisition of event-related space-time ranges in flood event remote sensing data retrieval are solved.

The invention relates to the technical field of remote sensing image processing, in particular to a wetland information extraction method and system based on multi-source remote sensing data fusion, and the method comprises the following steps: obtaining and fusing a wetland optical radar image and water level time sequence data, extracting near-infrared and back-scattering multi-source characteristic parameters to discriminate water body pixels, and extracting a water body image; and carrying out statistics on spatial connectivity aggregation to generate a water body plaque boundary, calculating an area perimeter and shape index comprehensive model to classify wetland types, and adjusting mismatching labels in combination with vegetation coverage and soil moisture to form a wetland information extraction result map. According to the method, the water body differential expression is enhanced through combined reflection and scattering characteristics, the water body and peripheral differential expression is enhanced through combined reflection and scattering characterization, boundary transition aliasing is restrained through bidirectional threshold constraint, plaque space integrity is restored and maintained through connectivity analysis, and type classification sensitivity is enhanced through morphological parameter combination. And the wetland expression accuracy and the type stability are improved through ecological attribute consistency correction.

An unmanned aerial device and an operation method thereof are provided. The unmanned aerial device includes a plurality of optical radars, a visual sensing module, an edge operator, and a flight controller. The plurality of optical radars generate a plurality of ranging data. The visual sensing module executes a simultaneous localization and mapping to generate obstacle distance data, six-axis acceleration data, and spatial coordinate data. The edge operator performs spatial coordinate conversion on the obstacle distance data, the six-axis acceleration data, and the spatial coordinate data. The flight controller controls the unmanned aerial vehicle to perform obstacle avoidance operation according to the plurality of ranging data, the obstacle distance data, the six-axis acceleration data, and the spatial coordinate data.

The invention discloses a space target attitude model searching and matching method for optical-radar co-location observation, and relates to the technical field of space target attitude estimation, and the method comprises the steps: obtaining an optical image and an ISAR image under the same visual angle; determining an attitude angle in the optical image, determining a target neighborhood by taking the attitude angle as a reference and a 5-degree attitude angle as a constraint condition, and determining at least one target ISAR image corresponding to the target neighborhood and a corresponding target feature vector in the spatial target attitude model database; and determining a retrieval feature vector corresponding to the in-orbit space target according to the ISAR image, taking the target ISAR image corresponding to the target feature vector with the minimum Euclidean distance with the retrieval feature vector as a matching result, determining an attitude model corresponding to the target ISAR image, and outputting the attitude model as a search result. According to the method, the three-dimensional attitude information corresponding to the in-orbit space target can be quickly and accurately determined.

The invention discloses an optical radar control method, an optical radar control device and an optical radar, the optical radar comprises a diaphragm, and the optical radar control method comprises the following steps: obtaining a dew point temperature value of the inner side of the diaphragm; acquiring a current temperature value of the diaphragm; according to the dew point temperature value and the current temperature value, the heating power of the heating module is adjusted, so that the temperature value of the diaphragm is larger than the dew point temperature value of the inner side of the diaphragm. According to the design, water mist existing on the inner side of the window piece can be evaporated or water mist can be effectively prevented from being generated on the inner side of the window piece, so that the signal strength of the optical radar and the signal transmission direction of the optical radar are not affected, and the good detection performance of the optical radar is guaranteed.

The invention belongs to the technical field of remote sensing image processing agricultural information, and particularly relates to a DS-xNet-based multi-source remote sensing time sequence data cultivated land utilization current situation extraction method. According to the method, the cultivated land and the water body can still be reliably recognized under the cloud or fog condition by combining Sentinel-1 and Sentinel-2, missing detection and misjudgment caused by cloud shielding are reduced, sNET captures short-term dynamic conditions, and mNET matrix memory enhances long-term dependence modeling, so that the recognition precision of seasonal and interannual changes is improved, supervision is applied to a branch and fusion layer, and the recognition accuracy of the cultivated land and the water body is improved. According to the method, each branch can learn independent discrimination capability and can cooperatively improve fusion output, over-fitting is reduced, generalization capability is improved, training convergence is accelerated, channel splicing retains discrimination information of each modal in a fusion stage, modal information conflict or loss caused by direct early fusion is avoided, classification accuracy is improved, and classification efficiency is improved. Various optical and radar indexes are combined and used to enhance the distinguishing capability of paddy fields, irrigation areas, different crops and non-cultivated areas.

The invention discloses a method for identifying an epimedium koreanum planting area based on multi-source remote sensing image fusion in the technical field of under-forest planting, and the method comprises the steps: obtaining multi-source remote sensing data of a target area, carrying out the preprocessing, and carrying out the recognition of an epimedium koreanum planting area based on the preprocessed multi-source remote sensing data; extracting multi-source feature data related to under-forest planting of the Korean epimedium, fusing the extracted multi-source features, inputting the fused multi-source features into a deep neural network classification model of a cross-modal attention mechanism, processing the fused multi-source features, and obtaining a deep neural network classification model of the cross-modal attention mechanism; according to the method, multi-source remote sensing data advantages of optics, radars, laser radars and the like are integrated, the limitation of a single data source in under-forest environment monitoring is overcome, and the method has the advantages of being high in accuracy, high in accuracy and high in reliability. And aiming at special growth requirements of the epimedium koreanum, key parameters such as canopy density and gradient are quantified, and accurate evaluation of ecological suitability is realized.

The invention discloses a land type intelligent identification and updating method and system for land investigation, and relates to the technical field of land investigation and remote sensing land type identification, and the method comprises the steps: carrying out the unified coding and weight fusion of optical, radar, terrain and auxiliary features on a standardized land block image stack through a feature fusion and dimension reduction model; generating plot-level fusion feature representation; jointly inputting the land block level fusion feature representation and the pixel statistical features in the land block into a land class recognition model, outputting a land block level land class category and confidence through a double-layer fusion structure, and generating a multi-temporal land class recognition result; and calculating a change credibility score of the land parcel based on a multi-temporal land class identification result and a time sequence observation index, and determining whether the land parcel belongs to a stable state, a suspected change or a confirmed change by comparing an index trend, class stability and space consistency. According to the method, collaborative identification of macroscopic structure information and microcosmic detail information is realized, and the accuracy and the spatial integrity of regional land class classification are improved.

The invention provides a light receiving device for an optical radar, which can reduce the influence of simultaneous counting loss and crosstalk on the measurement result. Provided is a light receiving device for an optical radar that detects scattered light of laser light, the light receiving device being provided with: a light splitting element that splits received light so that the received light is dispersed in one axial wavelength; an optical element for making the wavelength resolution of light having a relatively high intensity in the wavelength dispersion axis direction of the split light higher than the wavelength resolution of light having a relatively low intensity in the wavelength dispersion axis direction of the split light among the split light; and an array detector that detects light whose spectrum has changed through the optical element.

The present invention provides a multi-modal retrieval method and device for flood events based on a semantic enhancer, which relates to the technical field of data retrieval. The method includes: performing multi-level semantic enhancement on keywords through a global flood event knowledge base and Internet news information included in the semantic enhancer, and then performing quality-first retrieval and preliminary screening to obtain multi-source remote sensing images to be matched. Next, corresponding optical and radar image features and context semantic features of the semantically enhanced text are extracted from the image modality and the text modality respectively. Then, the features of the image modality and the text modality are fused to obtain multi-modal fusion features, and the similarity between the semantically enhanced text and the multi-source remote sensing images to be matched is mapped. Finally, the retrieval result of the keywords is determined. Through this application, the problems of low retrieval matching degree and low retrieval efficiency caused by lack of semantics and difficulty in obtaining event-related spatio-temporal ranges in the retrieval of flood event remote sensing data are solved.

This invention relates to the field of optical imaging technology, specifically providing an optical radar co-aperture off-axis imaging system, comprising: an off-axis mirror assembly, a frequency-splitting device, a radar transceiver system, and an optical imaging system. The frequency-splitting device is disposed in the rear optical path of the secondary mirror and is used to reflect light waves and transmit microwaves. The frequency-splitting device includes a frequency-selective surface, which comprises an FSS pattern layer and a bias line layer. The FSS pattern layer includes periodically arranged FSS units. Nonlinear capacitors are electrically connected to the FSS units. The bias line layer applies a voltage to the nonlinear capacitors according to the received microwave band. By changing the voltage applied to the nonlinear capacitors, the resonant frequency of the FSS units is tuned, thereby changing the microwave passband frequency of the frequency-splitting device. This invention not only achieves a reflective wave-transmitting microwave design but also solves the problem that transmitting only a single band of microwaves in microwave-transmitting and light-reflecting methods is difficult to adapt to different task requirements.

The invention discloses a multifunctional integrated electromagnetic protection metasurface structure which comprises an electromagnetic induction structure, a dielectric substrate and a field nonlinear device. The electromagnetic induction structure is composed of a plurality of metal meshes which are electrically connected through the field nonlinear device; the electromagnetic induction structure is arranged on the dielectric substrate. The problem that existing in-band electromagnetic protection and microwave infrared transmission cannot be considered at the same time can be effectively solved, optical radio frequency structure integrated protection is achieved, and great significance is achieved for electromagnetic protection research in the field of precise optical radar composite detection.

The invention relates to the technical field of camouflage equipment, in particular to a special-shaped camouflage net with an optical radar infrared camouflage stealth function, which comprises a first wave-absorbing layer and a second wave-absorbing layer, the first wave-absorbing layer and the second wave-absorbing layer are both coated with wave-absorbing paint, and the surfaces of the first wave-absorbing layer and the second wave-absorbing layer are subjected to pattern cutting treatment; a separator used for separating the first wave absorbing layer from the second wave absorbing layer is arranged between the first wave absorbing layer and the second wave absorbing layer. Compared with the prior art, the space complexity between the wave absorbing layers and the expansion degree of the upper cavity of the camouflage layer are enhanced by arranging the separators, and the problems that in the process of combining the camouflage net surface layer with other functional layers in the prior art, protrusions formed by cutting patterns on the surface layer interfere with the other functional layers, and the disguise effect is poor are solved. Therefore, the volume of a cavity formed by the surface layer is reduced, and the wave absorbing effect of the camouflage net is influenced.

The invention provides an optical radar device, a light source structure and an assembling method thereof. The light source structure comprises a light source module, a circuit board, a packaging piece and a light beam adjusting module. The light source module comprises a base material and at least one light source assembly, the at least one light source assembly is formed on a bearing face of the base material, each light source assembly is provided with a plurality of light-emitting units, and each light-emitting unit is provided with a light emitting part. The light source module is arranged on the circuit board, the packaging piece is arranged on the circuit board and surrounds the light source module, the packaging piece is provided with a light-transmitting part, and the light-emitting part of the light-emitting unit faces the light-transmitting part. The light beam adjusting module is arranged on the light-transmitting part of the packaging piece, and light emitted by the light-emitting part of the light-emitting unit passes through the light-transmitting part and the light beam adjusting module to form a working light beam.

The invention discloses a method for quickly and dynamically reconstructing an ultra-long-distance air-to-air killing chain, belongs to the technical field of ultra-long-distance air-to-air killing chains, and realizes dynamic recombination of the killing chain by using a self-organizing iterative clustering algorithm. In the execution process of the killing chain, if a reconstruction condition is triggered, all the combat platforms in normal operation are divided into six clusters according to the execution stages of discovery, positioning, tracking, aiming, combat and evaluation, each cluster is divided into different groups according to different loads loaded by the combat platforms, and the loading loads comprise ESM, light thunder and radar; for the combat platforms loaded with the same load, dividing the combat platforms in the same area into the same cluster by taking the current position as a division condition; all the combat platforms are subjected to dimension reduction clustering in sequence. According to the method, the high-dimensional complex calculation degree generated in the killer chain reconstruction process is subjected to dimension reduction processing, the calculation amount is remarkably reduced, and the reconstruction time is shortened.

The application provides a kind of full optical radar image target identification system and method based on MZI, the system includes: laser light source, for emitting laser;Beam splitter, for the received laser is divided into N road laser with equal power;Detection array, for converting target image information into n1 road radar receiving signal;MZI modulation array, for n1 road radar receiving signal is modulated to N road laser, and output M road modulated laser;Phase control unit, for output n2 road control signal;MZI operation array, for according to n2 road control signal, phase adjustment is carried out to M road modulated laser, and output n road adjusted laser;Photoelectric conversion unit, for converting n road adjusted laser into n road electric signal, according to n road electric signal realizes the identification and classification of target image information.The application can solve the technical problems that the hardware computing power of the electronic calculation of the identification system in the prior art is difficult to be greatly improved.

This invention discloses a method, system, terminal device, and storage medium for inverting crop lodging parameters. The method includes: acquiring satellite optical radar remote sensing information and UAV optical radar remote sensing information; extracting features from the satellite optical radar remote sensing information and UAV optical radar remote sensing information to obtain remote sensing image feature information; fusing multi-source heterogeneous information from the remote sensing image feature information to construct a remote sensing image dataset; inputting the remote sensing image dataset into a deep neural network model for model training to obtain a crop lodging parameter inversion model; acquiring crop lodging image data; and inputting the crop lodging image data into the crop lodging parameter inversion model to obtain crop lodging parameters. This invention obtains rich crop lodging information by fusing satellite optical radar remote sensing information and UAV optical radar remote sensing information, and then inverts the lodging parameters through a parameter inversion model to obtain high-precision crop lodging parameters.

The application provides a broadband wide-angle scanning microstrip antenna unit structure and an antenna array. On the basis of ensuring a low profile of the antenna, the broadband wide-angle scanning capability of the microstrip patch antenna is realized through structural design, meanwhile, space is reserved as a design area of an optical radar, and an antenna unit for integrated design of an optical / electrical radar array is realized. Technical problems that the antenna bandwidth is narrow in the prior art, and the profile, volume and weight of the antenna affect the performance of the radar are solved.

The present invention relates to the field of water level measurement, and specifically refers to a method for real-time measurement of a three-dimensional fluctuating water surface based on an optical radar. Prepare a water tank, an optical radar probe, a light-blocking baffle, an infrared photoelectric switch, and a single-chip computer, and install them. Use the optical radar probe to capture the three-dimensional shape of the bottom plate when there is no water in the water tank, and process it to obtain the parameter value θ x ,θ y ,θ z , Δx, Δy, Δz, store water in the upstream reservoir, add white materials in the reservoir, mix the materials into white opaque liquid through the material stirring device, keep the positions of the optical radar probes unchanged, quickly remove the gates, and synchronously collect and control the system to capture the water surface morphology of the water area to be measured at different times, and determine the coordinates of the water surface point (x2, y2, z2) of the global water surface height at any time; through this design, the real-time synchronous measurement of the global water level is completed. The present invention provides a method that can overcome the deficiency of traditional methods in not being able to capture three-dimensional water surface morphology, and realize the global synchronous measurement of large-scale three-dimensional water surface elevation changes.

The present invention aims to provide a ship auxiliary correction system and its operation method, comprising a receiver, a storage, at least one sensor, a processor and a display, wherein the processor is connected to the receiver, the storage and the at least one sensor; and the display is connected to the processor. The ship auxiliary correction system determines the distance parameter of the obstacle by running a preset machine-readable grid, and confirms and corrects the distance parameter to normal according to the sensor data of the sensor, so that the distance measurement of the obstacle can be completed without using optical radar (LiDAR) or when the water is undulating.

A system for establishing augmented reality includes an optical radar and a processor. The optical radar is used for scanning a real scene to obtain three-dimensional space information. The real scene includes a target object having a first size. The processor communicates with the optical radar. And the processor is used for converting the three-dimensional space information into a point cloud picture and running a virtual environment development engine. And the virtual environment development engine is used for establishing a virtual scene corresponding to the real scene and establishing a virtual object corresponding to the target object according to the point cloud picture. The virtual object has a second size. The virtual environment development engine is further used for setting a second size of the virtual object according to a proportional relation and establishing augmented reality elements around the virtual object to present the job content corresponding to the target object. According to the system for establishing the augmented reality, virtual-real integration of the augmented reality can be realized, the virtual construction object and the real scene are integrated, and the real scene operation is guided by virtual elements.

This invention relates to the field of remote sensing image processing technology, specifically to a method and system for wetland information extraction based on multi-source remote sensing data fusion. The method includes the following steps: acquiring and fusing wetland optical radar images and water level time-series data; extracting near-infrared and backscattering multi-source feature parameters to distinguish water body pixels; statistically aggregating spatial connectivity to generate water body patch boundaries; calculating a comprehensive model of area, perimeter, and shape index to classify wetland types; adjusting mismatched labels by combining vegetation cover and soil moisture; and forming a wetland information extraction result map. In this invention, the differences in water bodies are enhanced through joint reflection and scattering features; the differences between water bodies and their surroundings are enhanced through joint reflection and scattering characterization; boundary aliasing is suppressed through bidirectional threshold constraints; patch spatial integrity is restored through connectivity analysis; the sensitivity of type classification is enhanced through morphological parameter combinations; and the accuracy and type stability of wetland representation are improved through ecological attribute consistency correction.

The invention discloses an unmanned aerial vehicle optical radar detection system and method and an unmanned aerial vehicle, and belongs to the field of unmanned aerial vehicles. Comprising a detection subsystem, a turntable subsystem, an image processing subsystem and a display control subsystem. Wherein the rotary table subsystem comprises a rotary table, and the detection subsystem is loaded in the rotary table, so that when the rotary table rotates, the detection subsystem can obtain image information of different orientations and different pitching angles. In this way, images in multiple directions and angles can be obtained without installing multiple cameras, and the cost of the unmanned aerial vehicle is greatly reduced.

The invention discloses a system integrating various devices to guarantee low-altitude flight safety and improve flight experience, the system comprises a CPU control processing system and a battery electrically connected with the CPU control processing system and used for supplying power to the CPU control processing system, the CPU control processing system comprises a subsystem and a high-performance multi-core CPU, the subsystem comprises a microwave annunciator, a flash device, a parachute triggering device, a gyroscope balancing device, an automatic alarm device, a satellite positioning device, an optical radar and a health monitoring device; according to the invention, various devices with different functions, such as the high-performance multi-core CPU, the microwave annunciator, the flash device, the parachute triggering device, the gyroscope balancing device, the automatic alarm device, the satellite positioning device, the optical radar and the health monitoring device, are integrated together, so that the complexity of the system is reduced, and the cooperative work efficiency among the devices is improved; and seamless joint among the functions is realized.

The invention discloses a disease and insect pest detection system for agricultural planting, and relates to the technical field of image analysis, the disease and insect pest detection system comprises a scanning module, an information processing module, a leaf segmentation module and a disease and insect pest qualitative module, the information processing module carries out space-time synchronization on original data from the visible light camera, the infrared thermal camera and the optical radar and carries out preprocessing on the original data, and the leaf segmentation module is responsible for inputting the processed data into a proper segmentation model so as to realize accurate identification and segmentation of crops in a planting area. The plant disease and insect pest qualitative module is responsible for carrying out qualitative treatment on plant disease and insect pest conditions according to leaf segmentation results, the scanning module comprises a visible light camera, an infrared thermal camera and an optical radar, the visible light camera is used for capturing high-resolution images above legume crops in a planting area, and the plant disease and insect pest qualitative detection system has the advantage of omnibearing detection.

The invention provides a laser transmit-receive system, an assembly method and an optical radar. The laser transmit-receive system comprises an optical chip used for receiving a light beam generated by a laser light source transmitted by an optical fiber array through an input coupling end; the input coupling end is step-shaped; grooves corresponding to the light beams in number are formed in the surface of the lower step and are used for correspondingly placing optical fibers for transmitting the light beams in the optical fiber array; a spot size converter is correspondingly arranged on the connected end face of the upper-layer step and the lower-layer step; waveguides are arranged in a manner of extending towards the upper step along the length direction of the corresponding groove, so that the cross sections of the optical fibers are coupled with the corresponding spot size converters, and light beams in the optical fibers are transmitted to the corresponding waveguides; the optical fiber is arranged on the base and is covered and pressed by the cover plate; the arrangement of the optical fibers on the base corresponds to the arrangement of the grooves; the side, in butt joint with the optical chip, of the optical fiber extends out of the base by a first length, so that pressure is applied to the optical fiber through a cover plate on the extended optical fiber, and the extended optical fiber is pressed into the corresponding groove. The production efficiency is improved.

An optical radar test system comprises a cavity, two arc-shaped slide rails, an environment control device, a ground structure, an erection platform, a slide rail system and a test target object. The arc-shaped sliding rail is located in the cavity. The environment control device is hung between the two arc-shaped sliding rails through a bearing and is provided with a plurality of scene control modules. The ground structure is located in the cavity and located between the two arc-shaped sliding rails and below the environment control device. The erection platform is located at a first endpoint of a midline of the ground structure and is configured to erect an optical radar. The sliding rail system is located above the center line of the ground structure and is horizontally arranged. A test target object is arranged on the slide rail system. The optical radar test system comprises a plurality of scene control modules, so that the performance of the vehicle-mounted radar on different test targets under different weather conditions can be simulated in the same cavity, a large amount of data feedback can be obtained in a short time, and the research and development speed is improved.

The invention provides an MZI-based all-optical radar image target recognition system and method, and the system comprises a laser light source which is used for transmitting laser; the beam splitter is used for splitting the received laser into N paths of laser with equal power; the detection array is used for converting the target image information into n1 paths of radar receiving signals; the MZI modulation array is used for modulating n1 paths of radar receiving signals to N paths of laser and outputting M paths of modulated laser; the phase control unit is used for outputting n2 paths of control signals; the MZI operation array is used for carrying out phase adjustment on the M paths of modulated laser according to n2 paths of control signals and outputting n paths of adjusted laser; and the photoelectric conversion unit is used for converting the n paths of adjusted laser into n paths of electric signals, and identifying and classifying the target image information according to the n paths of electric signals. The technical problem that hardware computing power of electronic computing of a recognition system in the prior art is difficult to greatly improve can be solved.