268 results about "Geographic coordinate system" patented technology

The invention discloses a personnel trajectory low-delay accurate positioning method based on safety production monitoring, and relates to the field of industrial safety monitoring, and the method comprises the steps: obtaining signal data based on UWB anchor points, obtaining distance data through a laser range finder, and obtaining image data through a thermal imaging camera; establishing a three-dimensional geographic coordinate system based on the geographic space of the production workshop; extracting scene features of a production workshop, and constructing a virtual workshop; through timestamp alignment, consistent signal data, consistent distance data and consistent image data are obtained; calculating multi-dimensional positioning data through confidence evaluation; calculating scene feature weights; the multi-dimensional positioning data and the scene feature weight are imported into a virtual workshop, the virtual workshop performs multi-channel splicing on the multi-dimensional positioning data and the scene feature weight, and a positioning model is constructed; and obtaining positioning data. The method has the advantages that through multi-source heterogeneous data fusion and scene feature constraint, the positioning robustness in a complex industrial environment is improved.

The invention relates to the technical field of photovoltaic inspection, in particular to an unmanned aerial vehicle photovoltaic inspection positioning method and system based on extended Kalman filtering, and the method comprises the steps: obtaining the GPS positioning data, attitude data and photovoltaic panel image data of an unmanned aerial vehicle in real time based on a sensor carried by the unmanned aerial vehicle; according to the image data of the photovoltaic panel, fault features of the fault photovoltaic panel are identified, and pixel coordinates of the fault photovoltaic panel are extracted; converting the pixel coordinates of the fault photovoltaic panel into initial position information under a geographic coordinate system; constructing an extended Kalman filtering model, inputting the positioning data, attitude data and initial position information of the unmanned aerial vehicle into the extended Kalman filtering model, and establishing a state vector and an observation vector; and iteratively calculating an optimal estimation value through an extended Kalman filtering algorithm according to the state vector, and outputting geographic coordinates of the fault photovoltaic panel. According to the invention, the method achieves the quick and precise positioning of the fault photovoltaic panel, improves the operation and maintenance efficiency of a photovoltaic power station, and reduces the operation and maintenance cost.

The invention discloses a remote sensing image cloud removal method and system based on geographic coordinate embedding, and the system employs a geographic coordinate system embedding module to encode pixel longitude and latitude information into high-dimensional features, and achieves the joint modeling of an absolute position and a relative space relation through spherical coordinate mapping and a rotation matrix. And in combination with a multi-head self-attention mechanism and residual connection, the position sensitivity of the feature space is enhanced. Meanwhile, by using a multi-level feature extraction network and a cloud distortion compensation module, through a residual block and convolution operation, cloud interference features are extracted, a position sensing correction vector is generated, nonlinear offset of a cloud coverage area is corrected, and earth surface textures are recovered. According to the method, the adaptability of a cross-regional scene is remarkably improved, texture distortion and information loss of a large-scale cloud region are effectively reduced, the method has the advantages of high precision and high robustness in the fields of remote sensing image preprocessing, agricultural monitoring, land cover change analysis and the like, and a new scheme is provided for high-quality application of optical remote sensing data.

The invention relates to the technical field of artificial intelligence, in particular to a video GIS intelligent analysis method based on deep learning, and the method comprises the steps: detecting a target in a video in real time through a predefined target detection model, and generating a space-time mark which comprises a bounding box and category information; thirdly, associating target tracks of different cameras by using a dynamic graph model and a dynamic graph neural network to form a space-time ID and a track chain; then, combining a visual inertial odometer and a geographic information system to calibrate a homography matrix, and mapping the trajectory chain to a geographic coordinate system to obtain space-time trajectory data; then, constructing a neural network model and a trajectory generation model, and respectively predicting crowd density distribution and pedestrian motion trajectories; and finally, carrying out real-time alarm according to the track and the multi-level geo-fencing rule. According to the invention, intelligent analysis of video data is realized, target tracking and alarm capabilities are improved, and the method is widely applicable to the fields of crowd management and safety monitoring.

The invention discloses a boundary grid node-oriented shipborne unmanned aerial vehicle delivery scheduling method and system, and relates to the technical field of shipborne unmanned aerial vehicle path optimization, and the method comprises the steps: carrying out the systematic grid division of a boundary region based on a geographic coordinate system and marine environment constraints, and constructing a boundary grid node set; mapping attribution is carried out based on boundary grid nodes, and path feasibility is evaluated; and according to an evaluation result, screening and scheduling candidate tasks, generating a corresponding time window, constructing an optimal path, and completing dynamic scheduling and path planning of multiple tasks through time, space and platform constraint linkage. By constructing a task space mapping structure, an airspace schedulability scoring mechanism and a path multi-dimensional cost evaluation model, dynamic, efficient and safe scheduling of the shipborne unmanned aerial vehicle in a boundary sea area is realized, the task matching precision, the path feasibility and the system robustness are remarkably improved, and the method has high intelligent cooperation capability and environmental adaptability.

The invention relates to the technical field of embedded maps, and provides a vector map display method under a VxWorks system, which comprises the following steps: S1, analyzing a vector map source file through an MITAB library, and extracting geometric space topological data, geographic coordinate system parameters, style attributes and projection parameters; s2, constructing a hierarchical storage structure based on SQLite3, and storing vector map information including a spatial data table, a style configuration table and a metadata table into a geographic information database; s3, creating a map display control MapWidget inherited from a QGraphics View class based on a Qt framework, loading the geographic information database through a dynamic configuration interface, and initializing a coordinate system conversion module, a multi-level view window module and a covering management system; and S4, dynamically rendering and outputting an interactive vector map interface through a layer priority scheduling strategy in a VxWorks real-time operating system. Through the design of the cross-platform data middle layer, the extensible general symbology system and the resource efficiency optimization, the data compatibility problem of the embedded system and the commercial GIS software is solved.

The invention provides an unmanned aerial vehicle target identification and positioning method and system based on multispectral fusion. The method comprises the following steps: firstly, acquiring multispectral image data, then analyzing the multispectral image data of multiple time phases into pixel-level data, then identifying an early infection area of the plant diseases and insect pests, then constructing a geometric distortion correction model, and then determining the relative position of the early infection area of the plant diseases and insect pests through multi-view space intersection calculation. And finally, fusing the real-time differential global navigation satellite system positioning data of the unmanned aerial vehicle and the relative position of the disease and insect pest early-stage infection area to output absolute geographic coordinates of the disease and insect pest early-stage infection area. According to the technical scheme provided by the invention, accurate conversion from a local coordinate system to a global geographic coordinate system is realized, an exact spatial position basis is provided for precise agricultural operation, and precise positioning of a pest and disease damage area is realized.

The invention provides a as-built drawing multi-element extraction and vectorization method and device, equipment and a storage medium. Relates to the technical field of as-built drawing processing. The method comprises the following steps: segmenting a as-built drawing to obtain binary mask images of a field parcel, a road, a water channel, a building and a wellhead; performing opening and closing operation, morphological smoothing, noise removal and / or hole filling operation on each binary mask image to generate an optimized single-category mask; dividing the optimized single-category masks into three categories of planar elements, linear elements and point-shaped elements according to geometric types of the elements, and respectively adopting a vectorization strategy to generate vector files; and writing the geographic coordinate system and the projection parameters of the as-built drawing into the corresponding vector file to generate an independent layer file with geographic coordinate reference. According to the method, the as-built drawing element extraction precision, the complex element processing capability and the vectorization quality and efficiency are remarkably improved, and the robustness of the model in a complex scene is enhanced.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

The invention discloses a high-precision map construction method and a related device, and relates to the technical field of automatic driving. The high-precision map construction method comprises the steps that image data representing the surrounding road environment of a vehicle is obtained, a semantic topology network diagram containing nodes and associated edges is constructed based on the image data, the nodes are information units which are extracted from the surrounding road environment of the vehicle and carry semantic and spatial features, and the associated edges are associated with the nodes. The associated edge represents a node relationship of spatial and semantic dimensions between the nodes. Then determining a target anchor point meeting a space reference condition from the semantic topology network diagram, then mapping the target anchor point to a geographic coordinate system in combination with the real-time pose of the vehicle, and finally determining the spatial position of each node according to the relationship between the target anchor point and the node in the geographic coordinate system so as to generate a high-precision map. Finally, real-time and accurate road environment structured information is provided for automatic driving, and safe and efficient driving of the automatic driving vehicle is guaranteed.

The invention discloses a bridge differential settlement assessment method based on an SAR image. The method comprises the following steps: step 1, carrying out Lee filtering processing on a high-resolution No.3 data original image; 2, geocoding the SAR data by using the SRTM DEM data as reference data, and converting the SAR data from a radar coordinate system to a geographic coordinate system; 3, bridge extraction is carried out according to data processing results in the step 1 and the step 2; 4, performing differential settlement monitoring according to a bridge extraction result; and step 5, performing differential settlement evaluation. According to the invention, comprehensive and efficient monitoring of the bridge is realized, limitations of a traditional monitoring method and other image monitoring technologies are overcome, and tiny changes and potential safety hazards of the bridge structure can be found in time. Scientific basis is provided for maintenance and reinforcement of the bridge, decision makers are helped to take effective measures in time, safe operation of the bridge is guaranteed, the risk of safety accidents is reduced, and remarkable economic and social benefits are achieved.

The invention provides a GIS-based intelligent livestock breeding full-chain visualization method and system, and the method comprises the steps: collecting the basic information of a farm, livestock information, production process data and other multi-source data through a standardized data interface, and carrying out the correlation mapping of business data and GIS spatial data based on a geographic coordinate system; constructing a three-dimensional data model containing spatial information, attribute information and relation information; three-dimensional scene rendering is realized by utilizing a WebGL technology, a macroscopic visual engine, a mesoscopic visual engine and a microcosmic visual engine are constructed, and multi-scale visual display is realized; constructing a full-life-cycle data model of the livestock products, and realizing visual display of full-chain traceability of the livestock products; based on a visual data analysis method, a decision support system for industrial layout analysis, breeding scale prediction, epidemic disease risk assessment and market supply and demand analysis is constructed. Visual management of the whole industry chain of livestock breeding is achieved, the industry management efficiency is improved, the epidemic disease risk prevention and control capacity is enhanced, and data support is provided for decision making of the livestock industry.

The invention discloses a high-precision target positioning method based on distortion calibration and a matched DEM, and the method comprises the steps: S1, enabling a camera to be installed on an unmanned plane platform, enabling a whole imaging system and a carrier platform to serve as a system for testing, carrying out the indoor preliminary statistical calibration, and determining the distortion rate of each pixel point; s2, establishing a conversion relation from an image coordinate system to a geographic coordinate system, and performing coordinate conversion and calculation on a camera field angle, a focal length and resolution content and a ground shooting field range; s3, transforming the relation of the unmanned aerial vehicle, the camera and the image; s4, loading elevation DEM data based on latitude and longitude information, and determining the elevation of the target point; s5, performing statistical analysis on the system error by combining outdoor calibration, and solving the system error compensation amount increased in the longitude and latitude process; and S6, obtaining high-precision position information of the target based on the steps S3, S4 and S5. According to the method, the target positioning difficulty can be greatly reduced, and the effects of reducing the holder load, reducing the cost and reducing the operation difficulty are achieved by fully utilizing the internal reference of the camera and the DEM data.

The present invention provides a method for extracting features of the nearshore wave breaking process based on time series video images; wherein, the method comprises: setting at least one pixel sampling area in a plane geographic coordinate system, collecting time series video images of ocean nearshore waves, quickly converting them into plane geographic coordinate images through a coordinate model, and then stacking cross-shore pixel values ​​of several pixel sampling areas within a set time to generate a cross-shore pixel value and time relationship sequence diagram, mining the time-varying signal of the wave propagating toward the shore, combining the geometric relationship between the camera angle of view and the plane projection of the wave breaking, and calculating key wave breaking features such as the wave breaking point position, wave breaking water depth, and wave breaking height; the method can continuously monitor the nearshore wave breaking features efficiently, automatically, and stably, effectively making up for the shortcomings of traditional monitoring and analysis methods, and providing strong technical support for the refined research and management of nearshore beach dynamic landforms.

The invention discloses a loess collapsibility evaluation method and system based on a geophysical prospecting test technology, and relates to the field of land exploration, and the method comprises the steps: laying regular detection grids in a to-be-evaluated loess site, and constructing a site geographic coordinate system; collecting Rayleigh wave signals in real time, inverting a transverse wave velocity profile, and collecting apparent resistivity data; a shallow soil sample is drilled, soil property parameters are measured, and a model is constructed according to the mapping relation between the field geophysical prospecting parameters and the soil property parameters; inputting the acquired data into the wave velocity-water content correlation model and the resistivity-dry density correlation model to generate a water content distribution field and a dry density distribution field; and calculating the collapsibility of loess in each detection grid based on a geophysical prospecting response equation of the collapsibility coefficient, outputting a collapsibility coefficient contour cloud picture, and judging the collapsibility grade of each grid and the distribution range of collapsed loess. The method has the advantages that the collapsibility distribution field and the contour cloud picture are generated through accurate non-intrusive data acquisition and model analysis, and a scientific basis is provided for engineering construction.

The invention discloses a map updating method and device, a server, a system and a medium, and is suitable for updating and maintaining a high-precision map, and the method comprises the steps: collecting the track information of a vehicle and a synchronous road environment image collected through a vehicle-mounted visual sensor; recognizing and extracting perception elements including lane lines and ground marks from the image; converting the identified perception elements from an image pixel coordinate system to a geographic coordinate system, and generating perception elements of geographic reference; correlation matching is carried out on the perception elements of the geographic reference and corresponding map elements in a map database, and the quality of each time of matching observation is evaluated to generate a corresponding matching probability value and a quality weight; based on the matching probability value and the quality weight, calculating the support degree of single observation on map element state hypothesis; fusing the observation support degrees from a plurality of vehicles and a plurality of moments, and calculating a posterior probability of map elements needing to be updated; and deciding whether to update the map elements according to the posterior probability.

The invention relates to the technical field of three-dimensional geographic information systems and geological exploration, and particularly provides a method for automatically generating a geological drilling model in a three-dimensional GIS scene, which comprises the following steps: acquiring multi-source heterogeneous geological drilling data, and carrying out structured processing on the geological drilling data to form a positioning table, an inclinometer and a rock weathering table; reading a positioning table, and uniformly converting hole opening coordinates in the positioning table into a CGCS2000 geographic coordinate system; performing association query on the positioning table, the inclinometer and the rock weathering table, encoding a query result obtained by query into a GeoJson file, and forming a file service; requesting a data packet in a three-dimensional GIS scene, analyzing drilling data of the data packet, and filling the drilling structural body array; and drawing a drilling cylinder in a segmented manner, drawing a serial number and a scale of a drilling hole, generating a drilling model, and carrying out visual adjustment. According to the method, the complete information of each piece of drilling data is obtained by performing association query on the data table, so that the accuracy of the drilling data is ensured.

The invention relates to the technical field of video monitoring, and discloses a Beidou video multi-behavior analysis early warning system and terminal, and a video acquisition module, which are used for constructing a time-space synchronous video monitoring frame, and preprocessing an acquired video stream by adopting a self-adaptive image enhancement algorithm to obtain a preprocessed video; the multi-modal feature fusion module is used for extracting pedestrian local space-time features from the preprocessed video by using a 3D-CNN network, acquiring human body feature coordinates in combination with an HRNet model, and mapping Beidou positioning camera coordinates and the human body feature coordinates to a unified geographic coordinate system to obtain a multi-modal feature set; the behavior recognition module is used for modeling an action sequence of a pedestrian limb based on an ST-GCN network, capturing a long-term dependency relationship in combination with a Transform encoder, and determining an abnormal behavior and a corresponding grade; the early warning module is used for triggering a corresponding early warning mechanism according to the abnormal behavior level and pushing abnormal information; the early warning efficiency is improved.

The invention discloses an electric power aerial patrol operation data mining method, and belongs to the technical field of intelligent patrol. Coordinate values and temperature data of target equipment are synchronously collected through an infrared thermal imager, a visible light camera and a vibration sensor carried by power equipment, infrared coordinates and visible light coordinates are projected to the same geographic coordinate system through affine transformation, space registration is achieved, continuous wavelet transformation is conducted on collected vibration signals, and the temperature of the target equipment is obtained. The method comprises the following steps: extracting vibration feature vectors including global vibration intensity, wavelet energy spectrum and wavelet entropy, calculating the weight of each feature through image quality, carrying out weighted fusion to calculate a state index representing the health state of equipment, judging the state index according to a dynamic threshold value, judging that the equipment is abnormal if the state index exceeds the threshold value, and judging that the equipment is abnormal if the state index does not exceed the threshold value. And a feedback mechanism is triggered to collect data again to monitor the trend, otherwise, the data is stored for subsequent analysis. According to the invention, the precision and reliability of abnormal state identification in electric power aerial patrol operation and the robustness to a complex field environment are significantly improved.

A positioning method, apparatus, and computer-readable storage medium for determining real-time device position. The method includes acquiring first pose information of a terminal based on a positioning request containing a visual image frame, where the first pose information comprises real pose information in a geographic coordinate system (GCS). First virtual pose information of the same visual image frame in a Visual Inertial Odometer (VIO) coordinate system is also acquired. A transformation matrix is generated based on the relationship between these two coordinate systems. Second virtual pose information of a visual image frame at a subsequent moment in the VIO coordinate system is transformed using this matrix to obtain transformed second virtual pose information. Real pose information of the terminal at the next moment is then determined based on this transformed information, enabling continuous, accurate positioning.

The invention discloses an inertial navigation system point position correction method and device based on a transverse geography system, and the method comprises the steps: obtaining transverse longitude and latitude calculated by inertial navigation updating and angle measurement information measured by a gyroscope at the current navigation time, building a transverse geography system navigation drift error model, in combination with a conversion relation between navigation parameters of a transverse geographic coordinate system and a traditional geographic coordinate system, a navigation drift error compensation parameter is calculated through a transverse longitude error and a transverse latitude error, and the transverse longitude of inertial navigation update calculation and the transverse latitude of inertial navigation update calculation are corrected; the corrected transverse longitude and the corrected transverse latitude are obtained, navigation drift error compensation parameters are projected to a transverse geographic coordinate system, angle measurement information measured by a gyroscope is corrected, and corrected angle measurement information is obtained. According to the method, the inertial navigation high-latitude long-endurance navigation precision can be improved based on position correction and drift error suppression of high-latitude transverse geographical system long-endurance navigation.

The invention discloses an on-site mixed loading explosive truck hole searching and accurate hole aligning method which comprises the following steps: acquiring a design coordinate set of each blast hole in a to-be-loaded area, acquiring a tail end coordinate of the tail end of a mechanical arm under a geographic coordinate system, and establishing a mechanical arm base coordinate system by taking a base coordinate as an original point; the joint angle and the expansion and contraction amount of the mechanical arm are obtained through iterative inverse kinematics with constraints; controlling the mechanical arm to carry out coarse alignment iteration until the coarse deviation is smaller than a first threshold value; obtaining a fine positioning result of the hole center and the hole axis direction; calculating the fine deviation of the tail end hole aligning assembly relative to the hole center and the hole shaft; after a hole alignment completion signal is output, triggering insertion of a charging conduit and checking of a charging interlocking condition; and when the interlocking condition is met, the charging operation is executed. The GNSS RTK, the laser radar and the 3D structured light camera are fused, quick positioning and alignment of the blast hole are achieved, and the charging efficiency and safety are greatly improved.

The invention discloses an automatic construction method and system for a three-dimensional model of a transformer substation, and belongs to the technical field of digital modeling of a power system. The method comprises the following steps: acquiring point cloud data of a transformer substation through oblique photogrammetry and three-dimensional laser scanning; performing denoising, compression, resolution unification and multi-source fusion preprocessing on the point cloud; equipment segmentation extraction is realized based on space cutting, normal vector change and morphological characteristics; fPFH feature extraction, RANSAC coarse registration and KD-ICP fine registration are adopted to complete equipment identification and registration; a coordinate system conversion strategy is unified to a geographic coordinate system, and a standardized three-dimensional model is exported. According to the method, the technical problems of low equipment identification precision and poor point cloud registration robustness in the prior art are solved, and full-process automation of three-dimensional modeling of the transformer substation is realized.

The invention provides a road element recognition method and device based on a vehicle-mounted point cloud image and a storage medium. The method comprises the following steps: adding time identifiers for an image sequence, point cloud data and original navigation data under a unified time reference; carrying out inertia and satellite integrated navigation calculation according to the original navigation data to obtain vehicle pose information at each time point; road elements in the image are detected and recognized, and the two-dimensional position and attribute text information of each road element in the image are obtained; performing cross-frame correlation tracking on the same road element to obtain a pixel coordinate sequence of the road element in the multi-frame image and a corresponding camera pose sequence; three-dimensional coordinates of all the road elements in the geographic coordinate system are obtained through triangulation calculation, and road element data containing the three-dimensional coordinates and attribute information are output. According to the invention, the automatic identification and three-dimensional positioning precision of the road elements can be improved, the large-range acquisition efficiency is improved, and unified structured road element data is formed.

The invention discloses a BIM model and CIM oblique photography space element alignment fusion method. The method comprises the following steps: converting space positioning elements extracted by a BIM model into vector data under a geographic coordinate system; matching the vector data with spatial features of a CIM oblique photography live-action model, and calculating a spatial transformation relation through a matched feature point set; performing coordinate transformation on the BIM model according to the spatial transformation relation; according to a spatial deviation value between the CIM oblique photography live-action model and the BIM model after the spatial transformation relation is transformed, the BIM model alignment state is judged; when it is judged that the BIM model is not aligned, adjusting transformation parameters of the spatial transformation relation to execute coordinate transformation on the BIM model again until the BIM model is aligned; and outputting the aligned fusion model. According to the method, the technical effect of improving the alignment precision of the BIM model and the oblique photography CIM model under the unified geographic coordinate system is achieved by performing spatial transformation relation alignment on the BIM spatial positioning elements and the CIM spatial features and constructing a closed-loop feedback mechanism for alignment optimization.

The invention relates to the technical field of marine geological engineering, in particular to a submarine geological parameter fused photovoltaic foundation construction resource allocation method which comprises the following steps: collecting submarine topographic data, rock-soil physical parameters and stratum bearing capacity parameters through a shipborne multi-beam sounding system, a submarine drilling sampling device and a static penetrometer; uniformly mapping various parameters to a three-dimensional geographic coordinate system, and constructing a standardized geological data cube; the stratum shear wave velocity, the standard penetration impact number and the water content are extracted, and a comprehensive geological rigidity index is calculated through fusion; according to index threshold values, three types of construction units of a hard rock area, a transition area and a soft soil area are divided, and a hydraulic impact hammer, a rotary drilling rig and a vibration pile sinking unit are matched; and when monitoring that the geological variation exceeds a set amplitude, automatically adjusting the configuration of equipment in an adjacent area, and generating a dynamic resource allocation scheme. According to the invention, precise configuration and intelligent scheduling of equipment under geological driving can be realized, and the efficiency and safety of submarine photovoltaic foundation construction are improved.

The invention relates to the technical field of unmanned aerial vehicles, and discloses a detection method and an electronic device based on a mooring platform unmanned aerial vehicle, and the method comprises the steps: obtaining visible light, infrared, laser radar, positioning and inertial measurement data; constructing a local geographic coordinate system and realizing space projection and time sequence synchronization of multi-modal data; performing dynamic weighted fusion on each modal feature through a multi-modal cross attention fusion network to generate a high-dimensional semantic feature map; and performing target detection and thermal anomaly discrimination based on the feature map. The electronic device comprises a multi-modal sensing unit, a space-time alignment module, a time synchronization module, a multi-modal fusion module and a target discrimination module. According to the invention, through a unified space-time alignment and adaptive fusion mechanism, high-precision and high-robustness comprehensive detection can still be realized under severe conditions such as dark light, haze or shielding, and long-time stable operation is guaranteed by relying on a mooring platform.

The invention belongs to the field of acceleration measurement, and particularly discloses a multi-acceleration-sensor data fusion method and system, and the method comprises the steps: obtaining acceleration signals measured by each accelerometer when a preset acceleration signal is inputted into calibration equipment when an accelerometer assembly composed of N accelerometers is disposed on the calibration equipment, the measuring ranges of the N accelerometers are complementary to the noise level range; considering the inclination angle error of the rotary table, the installation angle error of each accelerometer and the non-orthogonal error of each accelerometer, the coordinate system of each accelerometer is converted to the same geographic coordinate system, and each accelerometer is calibrated by combining the acceleration signal measured by each accelerometer and the input preset acceleration signal. Obtaining calibration parameters of each accelerometer; the calibration parameters are used for compensating acceleration signals measured by the accelerometers. According to the invention, large-dynamic-range acceleration measurement is realized.

The invention discloses an unmanned aerial vehicle image intelligent perception plotting method and system based on view GIS fusion. The method comprises the steps that a sequence image of a target area is collected through an unmanned aerial vehicle platform; target detection, classification and tracking are carried out based on deep learning, and target pixel coordinates are identified; constructing an intelligent mapping model from a pixel coordinate system to a geographic coordinate system to realize geographic positioning of a target; precise space calibration is carried out on the illegal target; and in combination with space calibration, interactive plotting and visualization of target illegal behaviors are realized at a WebGIS end, and a structured law enforcement evidence packet is formed. According to the method, the POS data and the visual information are deeply fused, the dynamic projection plane estimation technology is adopted, the geographic positioning precision better than that of a traditional method is achieved, the method has obvious advantages especially in complex environments such as urban areas, and high positioning precision can be achieved.

The invention discloses a topographic relief region tree height estimation method and system based on SAR scattering intensity correction. The method comprises the steps that the irradiation area of SAR image pixels in a geographic coordinate system is converted into an SAR pixel coordinate system through inverse distance weighting; calculating the SAR backscattering intensity after the irradiation area correction by combining the image SAR resolution and the irradiation area of the SAR image pixel in the SAR pixel coordinate system; the actual measurement forest height is used as priori knowledge, forest height estimation is carried out based on a random volume-earth surface model, an optimal fitting coefficient of the random volume-earth surface model is obtained by using a nonlinear regression analysis method, and then the forest height of a research area is obtained. According to the method, the problem of estimation deviation caused by insufficient compensation of the terrain effect in the rugged terrains such as hills and mountainous regions in the existing forest height estimation technology based on single SAR backscattering is solved, and large-range and high-robustness forest height mapping can be realized.