46 results about "Geographic coordinate conversion" patented technology

The invention discloses an unmanned cooperative detection method and system based on an SAR guided optical load. The method comprises the following steps: S1, acquiring an echo signal through an SAR antenna and demodulating the echo signal; s2, inputting the demodulated echo signal into an FPGA (Field Programmable Gate Array) to obtain an SAR image; s3, transmitting the SAR image to an edge computing platform; s4, target detection is carried out on the basis of YOLO-TensorRT; judging whether a target is detected or not; s5, determining a final target through confidence coefficient screening and circumcircle geometric verification; s6, performing conversion from the pixel coordinates to the geographic coordinates to obtain the WGS-84 geographic coordinates of the final target; s7, the unmanned aerial vehicle receives an approaching flight path instruction of the ground station and flies to the target area; and the optical load starts a high-definition imaging mode to verify target details. According to the method, the technical problems of poor real-time performance, low resource cooperation efficiency, inaccurate target guidance and the like in multi-sensor cooperative detection in a complex scene can be solved.

The invention discloses a method and system for predicting a next interest point of a user based on a large language model, terminal equipment and a storage medium, and belongs to the field of interest point prediction.The method comprises the steps that geographic coordinates are converted into hierarchical quad-key representation through a geographic coordinate injection module, and Fourier position codes are fused; the large language model can accurately capture spatial proximity and complex geographic relations, and the problem that the large language model is difficult to directly sense geographic data is solved; an interest point transfer graph is constructed through an interest point alignment module, transfer preference features are extracted through a graph convolutional network, then the transfer preference features are aligned with the semantic space of the large language model, and interest point transfer relation information is effectively integrated; and finally, predicting the next interest point of the user through a Transform layer of the large language model in combination with the geographic coordinate features and the interest point features, thereby solving the problem that the recommendation result of the interest point is inaccurate due to the fact that the large language model cannot accurately perceive geographic data in the prior art.

The invention discloses a short-wave time difference positioning method based on particle swarm optimization, which is realized by aiming at a short-wave signal source positioning problem under the condition that ionized layer information is unknown through the following steps of: dynamically screening a receiving station combination with optimal geometric distribution by adopting a particle swarm optimization algorithm based on longitude and latitude and time difference observation data of a receiving station group; taking the main receiving station as a coordinate origin, and converting the geographic coordinates of the selected station into rectangular plane coordinates; constructing a time difference positioning equation set by using a Chan algorithm, and calculating a target position through pseudo-inverse solution and an iteration strategy; and filtering the ill-conditioned solution based on a geometric accuracy factor threshold, analyzing a positioning point cluster through sliding window density, and outputting median coordinates as a final positioning result. According to the method, the receiving station is innovatively selected and modeled as a combinatorial optimization problem, the positioning precision in a complex electromagnetic environment is remarkably improved through a collaborative architecture of particle swarm optimization and a Chan algorithm, and the problem of positioning drift caused by poor geometric distribution of stations in a traditional method is effectively solved.

The present application relates to a geographic flame segmentation method and apparatus, a computer device, and a storage medium. The method comprises: using an unmanned aerial vehicle to acquire a visible light image of a fire region, and using an infrared sensor mounted in the unmanned aerial vehicle to acquire an infrared image of the fire region; fusing the visible light image and the infrared image by means of an image fusion module to generate a multi-source fused image that comprises detailed information and highlights a target; performing feature extraction on the multi-source fused image by means of a ShuffleNet structure-based lightweight feature extraction module to obtain a flame region feature map; and inputting the flame region feature map into a flame segmentation model to obtain a flame segmentation result, and performing georeferencing on the flame segmentation result by means of a geographic coordinate conversion module to output a flame segmentation result having real geographic coordinates. The embodiments of the present application can significantly improve the flame segmentation effect of a model in a fire scenario involving obstructions such as smoke, and greatly reduce the number of model parameters, thereby improving the computational efficiency of the model.

The embodiment of the invention provides an intervisibility calculation method, device, equipment and medium based on a digital elevation model.The method comprises the steps that geographic coordinates of an observation point and a target point are obtained, the geographic coordinates are converted into observation grid points and target grid points based on the digital elevation model, and elevation values of the observation grid points are obtained; according to the coordinate values of the observation grid points and the elevation values of the observation grid points, calculating to obtain the lowest visual height value of each grid point of the digital elevation model, and taking a set of the lowest visual height values corresponding to all the grid points as lowest visual height data; and according to the coordinate value of the target grid point, obtaining a minimum visual height value corresponding to the target grid point from the minimum visual height data, judging whether the elevation value of the observation grid point is greater than or equal to the minimum visual height value of the target grid point, and if so, determining that the target point and the observation point are visual. According to the scheme, through the elevation information of the digital elevation model, the speed and efficiency of intervisibility calculation are improved.

The invention discloses a visual management system and method based on WebGIS (Web Geographic Information System) traffic assets, and the system comprises a cross-platform data compatibility module which is used for integrating various geographic coordinate conversion algorithms and defining standard API (Application Program Interface) with unified identification and unified abstraction, the method comprises the following steps: processing Web GIS data from different sources to obtain a compatible and unified Web GIS data structure; and the visual interface module is used for integrating an editing tool corresponding to a visual interface and carrying out visual management on traffic assets corresponding to the compatible and unified Web GIS data according to the editing tool.

The invention relates to the technical field of data processing, and discloses a 5G-A unmanned aerial vehicle track monitoring method and system for power grid inspection. The method comprises the following steps: acquiring 5G-A base station sensing data and cleaning to obtain a space coordinate sequence; converting the geographic coordinates into relative position coordinates, and performing dynamic slicing and standardization processing; extracting time sequence features through an LSTM model to determine a target category, and calculating a space deviation distance between a sensing track and a reported track; and according to the deviation distance and the matching result, determining a security situation and generating an alarm. According to the invention, accurate identification and safe controllable supervision of the low-altitude target in the power grid inspection area are realized.

The invention provides a remote sensing image sensitive target elimination method and device, equipment and a storage medium. Relates to the technical field of remote sensing image processing. The method comprises the following steps: performing block processing on a high-resolution large-size image to obtain a region of interest containing a sensitive target, and converting geographic coordinates of the region of interest into pixel coordinates; performing target detection on each target region by using the trained instance segmentation model based on the target regions, generating a corresponding segmentation mask, dynamically adjusting the expansion degree of the segmentation mask according to the target area, and determining a mask region; and generating filling content, filling the filling content into the mask region to obtain an image after the target is eliminated, and splicing the image after the target is eliminated to the original image to obtain a spliced image. The method meets the requirements of high-efficiency, accurate and traceless elimination of large-scale and high-resolution remote sensing image sensitive targets, and provides a reliable technical scheme for safe sharing of remote sensing image data.

The invention discloses an AR label dynamic superposition method and device based on an unmanned aerial vehicle real-time video stream. The method comprises the steps that S1, an unmanned aerial vehicle collects video data in real time and preprocesses the video data to obtain a preprocessed video stream; s2, obtaining a video picture-geographic coordinate mapping table based on registration of video pictures and geographic coordinates of the preprocessed video stream; s3, generating an AR label based on the video coverage area of the preprocessed video stream; s4, converting the geographic coordinates of the AR labels into pixel coordinates of the video pictures according to the video picture-geographic coordinate mapping table to realize AR label superposition; and S5, outputting the video stream which displays and overlaps the AR label in real time. According to the method, sub-meter registration of the AR tag and the video picture is realized, accurate synchronization of the AR tag and the video picture is realized, real-time following of the moving target and collaborative display of multiple types of tags are realized, and comprehensiveness and decision-making efficiency of monitoring information are remarkably improved.

The invention relates to a horizontal wind field inversion data error correction method based on a phased array radar, which relates to the field of radio, realizes three-dimensional space unification through beam height estimation and polar coordinate and geographic coordinate conversion, realizes time unification from a wind profile radar wind field to a phased array radar volume scanning center moment, and improves the accuracy of the volume scanning center. Forming a four-parameter space-time collaborative inversion model by combining multi-base space matching, split-phase-state terminal falling speed correction and SNR (Signal to Noise Ratio) and speed spectrum width-based quality control and error variance construction; the method comprises the following steps: extracting a vertical error mode from errors of a phased array radar and a wind profile radar, automatically distinguishing three types of deviations of a low altitude, a boundary layer transition layer and a mid-high altitude, and constructing a hierarchical classification weight matrix; and meanwhile, an observation weight with stronger physical constraint is set by utilizing an error variance field driven by SNR and velocity spectrum width, and error correction of the phased array radar horizontal wind field is realized through a self-attention time sequence error correction model, so that the quality of a phased array radar horizontal wind field product is remarkably improved.

The invention discloses a space query optimization method based on a Salted Key. The method comprises the following steps: step 1, data cleaning and format conversion; step 2, converting geographic coordinates of the converted data obtained in the step 1 into Geohash codes; 3, completing data storage by adopting multiple dimensions of time and space; and 4, querying the data stored in the distributed database HBase, and obtaining a query result through two query modes. The invention belongs to the technical field of geographic information systems and data storage, solves the problems of low geographic data storage efficiency and poor query performance of large-scale geographic information in the prior art, is particularly suitable for large-scale geographic data storage and real-time query, can process a large amount of data without sacrificing performance, and is high in practicability. And application requirements of traffic flow, weather forecast and the like which need to consider space and time factors at the same time can be met.

The invention discloses a real-time display method and device for an electric power underground concealed project based on AR glasses. The method comprises the following steps: acquiring an RTK geographic positioning coordinate through an RTK positioning module integrated with the AR glasses; constructing a coordinate conversion relation through an RTK geographic positioning coordinate, an AR system coordinate and an AR geographic due north correction angle theta; extracting a geographic coordinate set of the target model from the underground engineering model database, and establishing a relative position mapping relation from the geographic coordinates of the model to the current RTK coordinate system; based on the established coordinate conversion relation, converting the geographic coordinates of the underground engineering model into relative coordinates under the coordinate system of the AR system; and dynamically binding the calculated relative coordinates to a physical space through a visual tracking module of AR glasses, and generating an underground model holographic image consistent with the perspective relationship of a real earth surface scene. The method aims at achieving high-precision and stable visualization of the three-dimensional model of the electric power underground hidden project and improving the safety level of electric power inspection and construction.

This application relates to the field of open-pit mining technology, and provides an adaptive open-pit geological spatial grid mapping method and system. In this method, based on the Hough space curve of the geographic coordinates of open-pit geological exploration boreholes, a first kernel density estimation curve for the boreholes is determined. After constructing a linear space for the boreholes based on the first kernel density estimation curve, the geographic coordinates of the boreholes are converted into linear spatial coordinates, and a second kernel density estimation curve for the boreholes is determined based on the linear spatial coordinates. A peak matrix is ​​constructed based on the coordinate axis values ​​corresponding to the peak values ​​of the second kernel density estimation curve, and the adaptive grid position of the boreholes is determined based on the linear spatial coordinates and the peak matrix. This achieves an adaptive open-pit exploration borehole grid and determines the position of each open-pit geological exploration borehole within the grid, providing a new means for three-dimensional geological modeling of open-pit mines and meeting the practical needs of combining open-pit geological exploration with three-dimensional geological modeling.

The invention relates to the technical field of mixed reality (MR) and geographic information system (GIS), and provides an MR equipment-based indoor and outdoor GIS real-time cooperation and position matching method, which integrates real geographic space information and virtual geographic space information, combines space positioning and object identification technologies, and utilizes a geographic coordinate conversion method to realize real-time cooperation and position matching of the GIS. Therefore, GIS indoor and outdoor cooperation based on MR equipment is supported. It is ensured that the three-dimensional GIS data can be accurately displayed in MR equipment in the indoor and outdoor environment, geographic information in the MR indoor and outdoor environment has consistency, and therefore accurate matching of indoor and outdoor geographic positions is achieved. According to the method, cooperative work of GIS data in MR indoor and outdoor environments is supported, and the immersive experience and interactivity of a user are improved.

The application provides a kind of aerial data building height calculation method based on 3D Gauss technology, comprising obtaining aerial photograph;Carrying out data pretreatment;Carrying out geographic coordinate conversion;Taking all aerial photographs, calculating its position in local coordinate system before conversion, applying conversion function f_best (x, y, z), make local coordinate system and target coordinate system align;The internal parameter, external parameter, sparse point cloud of converted aerial photograph are input into 3DGS algorithm, and scene reconstruction is carried out;Obtain user click position;Calculate the building height of the user click position.The aerial data building height calculation method based on 3D Gauss technology proposed by the application introduces 3DGS technology into city building three-dimensional modeling, for high-definition image data collected by unmanned aerial vehicle, while taking into account the advantages of 3DGS technology, realizes interactive browsing and automatic height measurement task.

The present application relates to the technical field of mixed reality (MR) and geographic information system (GIS), and proposes a method for indoor and outdoor GIS real-time collaboration and position matching based on MR equipment, which integrates real geographic space information and virtual geographic space information, combines spatial positioning and object recognition technology, and uses a geographic coordinate conversion method to support indoor and outdoor GIS collaboration based on MR equipment. The method ensures that three-dimensional GIS data can be accurately displayed in indoor and outdoor MR equipment, and makes the geographic information in indoor and outdoor MR environments consistent, thereby realizing accurate matching of indoor and outdoor geographic positions. The present application supports the collaborative work of GIS data in indoor and outdoor MR environments, and improves the immersive experience and interactivity of users.

The application provides an intersection collision warning method combining low-altitude aerial photography and double-branch deep behavior prediction, and relates to the technical fields of intelligent traffic management, unmanned aerial vehicle application and artificial intelligence multi-modal fusion. The method comprises the following steps: based on a large model driven unmanned aerial vehicle cluster dynamic layout and trajectory planning, no dead angle image acquisition and intelligent classification are carried out on a cross intersection; with the help of an improved S_MBLBP operator and a perspective transformation model, high-precision correction of aerial images and pixel-geographic coordinate conversion are realized; through a YOLOv11-OBB model, vehicle directional positioning, angle perception and number tracking are completed, and complete motion parameters are obtained; an Mamba-VSF double-branch hybrid model is used to predict the optimal trajectory of the vehicle, and the future position and direction angle are output; based on the bounding box intersection area calculation and dynamic threshold setting, the collision risk level is determined to assist the traffic participants to avoid risks.

The present application relates to a kind of based on phased array radar horizontal wind field inversion data error correction method, it is related to radio field, is realized three-dimensional space unification by beam height estimation, polar coordinate and geographic coordinate conversion, realize the time unification of wind profile radar wind field to the center time of phased array radar volume scanning, combined with multi-base space matching, the terminal falling speed correction of phase state is divided into, and the quality control and error variance construction based on SNR, speed spectrum width, form four-parameter space-time collaborative inversion model;From the error of phased array radar and wind profile radar, extract vertical error mode, automatically distinguish three kinds of deviation of low altitude, boundary layer transition layer and high altitude, construct hierarchical classification weight matrix;SNR and speed spectrum width are driven simultaneously by error variance field and set observation weight with stronger physical constraint, by self-attention time error correction model, realize the error correction of phased array radar horizontal wind field, significantly improve the quality of phased array radar horizontal wind field product.

A regional search and control method based on Geographic Information System (GIS). This invention relates to the field of unmanned aerial vehicle (UAV) reconnaissance technology, specifically to a regional search and control method based on GIS. The invention uses Web Mercator projection to convert geographic coordinates into planar coordinates, and then, combined with the current field of view of the optoelectronic platform, calculates the length and width of the projected field of view, plans the motion trajectory, and employs a "bow"-shaped scanning pattern to achieve regional search control of the optoelectronic platform. The method includes the following steps: acquiring the geographic coordinate information of the target point; converting the geographic coordinate information into planar rectangular coordinate information based on Web Mercator projection; calculating the projected length and width of the current field of view; calculating the number of scanning steps required based on the planar rectangular coordinate information and the projected length and width of the current field of view; and the optoelectronic platform performing a "bow"-shaped scanning pattern based on the projected length and width of the current field of view and the number of scanning steps required.

The present application provides a method, apparatus, device and storage medium for eliminating sensitive targets in remote sensing images, which relates to the technical field of remote sensing image processing. The method includes: performing block processing on a high-resolution large-size image to obtain an area of interest containing sensitive targets, and converting the geographical coordinates of the area of interest into pixel coordinates; based on the target area, using a trained instance segmentation model to perform target detection on each target area, generating a corresponding segmentation mask, dynamically adjusting the dilation degree of the segmentation mask according to the target area, and determining the mask area; generating filling content and filling it into the mask area to obtain an image after target elimination, and splicing the image after target elimination to the original image to obtain a spliced image. The present application meets the requirements of efficient, accurate and seamless elimination of sensitive targets in large-scale and high-resolution remote sensing images, and provides a reliable technical solution for the secure sharing of remote sensing image data.

The invention relates to the technical field of coordinate conversion, in particular to an Excel-based coordinate conversion method, which comprises the following steps of: converting geographic coordinates into plane coordinates by adopting a Gaussian projection normal calculation method; the plane coordinates obtained through conversion are converted into geographic coordinates again through a Gaussian projection back calculation method; optimizing the Gaussian projection coordinate conversion precision by using a compensation arbitrary band Gaussian coordinate conversion method; and evaluating Gaussian projection conversion reliability based on precision verification. According to the invention, the requirement of high-precision coordinate conversion in engineering construction and measurement can be met.

An embodiment of the present invention provides a visibility calculation method, device, equipment and medium based on a digital elevation model. Among them, the method includes: obtaining the geographical coordinates of an observation point and a target point, converting the geographical coordinates into an observation grid point and a target grid point based on the digital elevation model, and obtaining the elevation value of the observation grid point; calculating the minimum visible height value of each grid point of the digital elevation model according to the coordinate value of the observation grid point and the elevation value of the observation grid point, and taking the set of the minimum visible height values corresponding to all grid points as the minimum visible height data; obtaining the minimum visible height value corresponding to the target grid point from the minimum visible height data according to the coordinate value of the target grid point, and determining whether the elevation value of the observation grid point is greater than or equal to the minimum visible height value of the target grid point. If so, the target point and the observation point are visible. Since this solution uses the elevation information of the digital elevation model, the speed and efficiency of visibility calculation are improved.

This invention discloses a method for measuring human brain cognitive maps using long-term temporal behavioral trajectory big data, comprising the following steps: acquiring data, extracting dwell events and movement events, and constructing a "state-action" trajectory sequence; calculating the built environment features of each dwell location; designing grid cell-inspired absolute and relative position codes to convert geographic coordinates into multi-scale, translation-invariant embedding vectors; constructing a Transformer-based encoder-decoder architecture; adopting a Bayesian iterative learning scheme based on the AVRIL framework; using the SHAP method to decompose the contributions of geographic location and built environment; inferring rewards for unvisited locations and generating a mental map heatmap; and outputting prediction performance indicators and interpretability analysis results. According to this invention, the structure is simple, the theoretical foundation is solid, and it possesses advantages such as high performance, high interpretability, and low manual intervention costs, showing broad prospects for promotion and application in the interdisciplinary fields of cognitive science, data science, and spatial information science.

The invention discloses a distributed power supply capacity and position dynamic calculation method based on machine vision, and the method comprises the steps: S1, obtaining and fusing multi-source heterogeneous data, and constructing a multi-dimensional digital resource library; s2, the remote sensing image is finely processed, and the visual features of the distributed power supply are highlighted; s3, a Mask R-CNN deep learning model is adopted, and a pixel-level contour of each distributed power supply is accurately identified and segmented; s4, automatically converting the pixel-level contour into the capacity and the position of the distributed power supply through a multi-dimensional digital resource library and a geographic coordinate conversion technology; and S5, repeating the steps S1 to S4 to obtain a new information base of the distributed power supplies containing capacity and position information, intelligently comparing the distributed power supplies in the new information base and the old information base by using a change detection algorithm, and updating machine account information. Advanced machine vision and deep learning technologies are introduced to automatically calculate the capacity and the position of the distributed power supply, and the intelligent level of power grid operation and the overall power supply reliability are improved.

The present invention provides a method for modeling linear features in a regular hexagonal grid based on a sub-grid element pattern. The method includes: using a dissection method with an aperture of n*n, dissecting each regular hexagon in the regular hexagonal grid corresponding to the set area with a 4n*2n rectangular grid, establishing a local rectangular coordinate system for each regular hexagon, and encoding all sub-grid elements; converting the geographical coordinates of the obstacle linear features in the set area into corresponding regular hexagon codes and regular hexagon offsets; calculating the corresponding sub-grid element codes according to the regular hexagon codes and regular hexagon offsets; if the sub-grid elements where two adjacent points of the linear feature are located are not adjacent to each other, calculating the transitional sub-grid elements between the two sub-grid elements; synthesizing the sub-grid element codes corresponding to the same type of obstacle linear features in the set area, taking the regular hexagon as a unit, calculating the identifiers of all sub-grid elements in each regular hexagon, and converting them into integer values for storage.

The application discloses a kind of based on InSAR and finite element analysis building three-dimensional deformation inversion method and system. Including according to deformation rate abnormal period extraction LOS direction cumulative deformation variable;According to radar, building and so on Characteristic screening target building on PS point;Based on deformation rate abnormal period historical data, preliminary judgment deformation cause;Based on numerical simulation analysis under the constraint of SAR data;Establish the absolute coordinate point vector data of numerical simulation node grid, convert absolute coordinate to geographic coordinate;Convert directional deformation into LOS direction deformation variable;Calculate the continuous deformation result of numerical simulation result, compare the difference rate of measured PS point LOS direction deformation and simulated inversion LOS direction deformation by once linear fitting model;Based on once linear fitting result and expected degree modify numerical simulation condition setting, optimize simulation result.The application can solve the problem that InSAR inversion system cannot determine the absolute three-dimensional deformation data of building target.

This invention provides a hexagonal global discrete grid encoded spatial retrieval method and apparatus. The method includes: converting the spatial range to be retrieved into a vector polygon, and converting the geographic coordinates corresponding to each vertex of the vector polygon into tile coordinates to obtain a tile polygon; wherein the spatial range to be retrieved is determined based on multiple geographic coordinates; converting each edge of the tile polygon into tile coordinates according to the cross-face information of the tile polygon, and converting each tile coordinate into corresponding global coordinates according to the arrangement order of the tiles to obtain a global coordinate set; scanning and pairing each global coordinate in the global coordinate set row by row to obtain a pairing result, and determining the global discrete grid encoded set based on the pairing result. The method of this invention uses integer coordinates to perform the calculation of the retrieval method, reducing the influence of encoding, improving the versatility of the method, and improving the efficiency of spatial retrieval.

The present invention discloses an unmanned collaborative detection method and system based on SAR-guided optical payloads, comprising the following steps: S1: acquiring and demodulating echo signals through a SAR antenna; S2: inputting the demodulated echo signals into an FPGA to obtain a SAR image; S3: transmitting the SAR image to an edge computing platform; S4: performing target detection based on YOLO-TensorRT; determining whether a target is detected; S5: determining the final target through confidence screening and circumscribed circle geometry verification; S6: performing pixel coordinate to geographic coordinate conversion to obtain the WGS-84 geographic coordinates of the final target; S7: the unmanned aerial vehicle receives an approach flight path instruction from a ground station and flies toward the target area; the optical payload activates a high-definition imaging mode to verify target details. This invention can solve technical problems such as poor real-time performance, low resource coordination efficiency, and inaccurate target guidance in multi-sensor collaborative detection in complex scenarios.

This application relates to the field of coal mining technology, and provides an adaptive generation method and system for open-pit geological exploration lines. By constructing a transformation matrix through angle clustering, the geographic coordinates of open-pit geological exploration holes are converted into linear coordinates. Then, the components of the current coordinates of each geological exploration hole are subtracted from and compared with the set of peak values ​​of the geological exploration hole density curve to generate an initial grid location list of geological exploration holes. Duplicate items in the initial grid location list are updated to generate open-pit geological exploration lines. This effectively solves the problems of inconsistent standards and uneven distribution of geological exploration lines formed by geological exploration holes during the merging of multiple geological exploration phases, as well as the problem of decreased accuracy in 3D geological modeling of open-pit mines caused by irregular geological exploration lines. The constructed geological exploration line grid is more reasonable than traditional methods, improving the accuracy of 3D geological models of open-pit mines.

The invention discloses a multi-object spatial information calculation method based on an Atde GIS, and the method comprises the following steps: 1, collecting spatial data, including remote sensing images, geographic coordinate data, and landform information; 2, preprocessing the data collected in the step 1, wherein the preprocessing comprises data cleaning, formatting and standardization; and step 3, converting the geographic coordinates of the distance measuring point and the geographic coordinates of the target into a north-sky-east coordinate system, calculating an azimuth angle theta, a pitch angle and a distance R by taking the position of the distance measuring point as an original point of a new coordinate system, and obtaining actual state data of the target in a real scene according to theta, R and the speed, the moving track, the advancing direction and the advancing angle of the target. According to the invention, the possibility of real-time interaction between a map GIS system and a real space object is expanded; physical behaviors of real space objects can be reflected to a map GIS system in real time, including parameters such as speed, orientation, pitch angle, altitude and the like.