530 results about "Longitude" patented technology

Disclosed in the present invention is a method for repairing an RPC of a remote-sensing image. The method comprises: S1, acquiring information such as an image to be repaired and a reference image; S2, performing feature extraction and matching on the image to be repaired and the reference image by using an SIFT algorithm, so as to obtain a matching point pair and corresponding first pixel coordinates; S3, acquiring longitude and latitude coordinates; S4, acquiring geodetic coordinates and a control point; S5, constructing an RFM model, performing RPC positive calculation on an original RPC parameter of the image to be repaired and the geodetic coordinates, so as to obtain corresponding second pixel coordinates of the geodetic coordinates on a remote-sensing image, and separately calculating a mean value of error distances between corresponding pixel coordinates; S6, introducing a constraint condition by using an L1 regularization optimization method, so as to obtain an optimized RFM model; and S7, performing determination according to the mean value of the error distances and a preset threshold value, and selecting different repair policies to recalculate or correct the RPC parameter. In the present invention, an RFM model is optimized by using an L1 regularization method, and different repair policies are selected to perform correction or estimation on an RPC parameter, thereby improving the geometric positioning precision of a satellite image.

Systems and methods are described for calibrating an imaging or LIDAR based gas monitoring system for efficiently scanning for gas plumes. In an example, a calibration workflow that improves the accuracy of transformations from observed points in a particular camera frame to a coordinate system that is fixed with respect to the ground, such as a set of latitude, longitude, and height values; or a spherical polar coordinate system centered at the camera where the zenith is perpendicular to the ground.

The invention relates to an unmanned ship global path planning navigation method based on nautical chart data, which comprises the following steps: firstly, receiving longitudes and latitudes of a starting point and a target point, calculating and expanding a search area, acquiring and processing hindering object information from nautical chart data, then converting coordinates into Mercator XY coordinates and inputting the Mercator XY coordinates into an improved A star algorithm, according to the algorithm, a path is planned through gridding processing and grid boundary expansion considering a safety distance, in path planning, node expansion and collision detection are carried out by adopting a new cost function in combination with a dynamically adjusted cost expansion factor, path safety is ensured, the planned path is simplified, and finally grid path points are converted back to latitude and longitude coordinates, so that the path planning precision is improved. Forming a global navigation path of the unmanned ship; the sea chart data and the intelligent algorithm are effectively combined, an efficient and safe navigation scheme is provided for the unmanned ship, target category information in the sea chart is fully utilized, navigation obstruction data are extracted, a sea safety grid map is constructed, and the accuracy and efficiency of path planning are improved.

The invention provides a side slope radar point cloud data slice abnormal value complementing method based on space-time fusion, which comprises the following steps: acquiring point cloud data of a plurality of time slices obtained by scanning of a side slope radar, and mapping the point cloud data into a three-dimensional point cloud; identifying a piece of abnormal regions of the three-dimensional point cloud through statistical filtering and a density-based clustering method; constructing a point cloud processing model based on PointNet + +, generating masked data and a mask index by adopting a mask strategy, and masking off pieces of point clouds; spatial features are extracted in different regions, static space weight matrixes generated by longitude and latitude and time difference global features are fused, deformation values of mask regions are predicted through a full-connection network, and model parameters are optimized; and inputting the trained model into latitude and longitude coordinates of an abnormal region of actual missing point cloud data, performing abnormal value completion, outputting a completed deformation value, and calculating a completion precision index. According to the method, the completion effect is good, all abnormal values of multiple time slices can be completed at a time, and the calculation efficiency is improved.

The invention belongs to the technical field of automatic control and inertial navigation. The invention provides a geographic tracking rapid correction method for an airborne photoelectric pod. The method comprises the following steps: after the photoelectric pod receives a geographical tracking task instruction of a ground control center, calculating an azimuth angle and a pitch angle of the photoelectric pod required for aligning an aiming line of the photoelectric pod to a target prediction point by combining information of longitude and latitude heights of a carrier aircraft, longitude and latitude heights of a target point, an aircraft attitude angle and a frame angle of the photoelectric pod; and then a geographical tracking PID controller is used for controlling and turning, meanwhile, a ground image returned in real time is observed, and if the aiming line of the photoelectric pod deviates from the position of the target point, a direction key can be used for compensation and correction until the position of the target point coincides with the center of the image. According to the embodiment of the invention, the method can achieve the precise locking of a target through the quick correction of the geographic tracking error of the airborne photoelectric pod. And moreover, the calculation amount is small, the precision is high, the instantaneity is strong, and the task completion efficiency and success rate are improved.

The invention belongs to the technical field of inertial navigation, relates to a high-precision calibration method for residual drift of a rotation modulation inertial navigation system, and is suitable for a long-endurance flight environment of an aircraft. According to the method, a mathematical model of the longitude and latitude navigation error of the rotary inertial navigation geographical system and the sky-direction residual drift, the north-direction residual drift and the sky-direction mathematical platform error angle of the geographical system is established, and the long-endurance navigation test of eight positions at the azimuth angle interval of 0-360 degrees and 45 degrees is designed; accurate identification of sky-direction and north-direction residual drifts and alignment course errors in different directions is realized. The method has the advantages of high residual drift identification precision, obvious improvement of long-endurance navigation performance, strong autonomy and easy realization.

The invention relates to a method for determining an initial orbit of a satellite with an embedded physical knowledge neural network, which is used for determining an initial orbit of a short arc segment under an optical observation condition and providing support for subsequent precise orbit determination. The network comprises an encoder-decoder structure, an encoder predicts the motion state of a satellite in an orbit according to observation information, the decoder converts the predicted satellite motion state into an observation value, the prediction accuracy of the encoder is evaluated, physical information of satellite orbit dynamics is introduced into a loss function, and the prediction accuracy of the satellite orbit is improved. And satellite orbit determination based on the neural network is realized. The input of the encoder is the observation angle quantity (namely azimuth angle and pitch angle) of the satellite relative to an observer, the observation time and the position information (namely longitude, latitude and altitude) of the observer; the output of the encoder, namely the input of the decoder, is the absolute motion state quantity (namely the position and the speed of the satellite in a geocentric inertial coordinate system) of the satellite in the orbit and the position information of an observer, and the output of the decoder is the observed quantity of the satellite relative to the observer. When the network is trained, firstly, a decoder is trained by taking a mean square error between a predicted observation value and a real observation value as a loss function, and a transformation relation from a satellite motion state to the observation value is learned; fixing the structure and parameters of a decoder, training the whole encoder-decoder network, calculating the derivative of the predicted satellite absolute state quantity relative to the observation time, and calculating the physical information loss of a speed item and an acceleration item; adding the physical information item loss and the mean square error of the observed quantity, constructing a total loss function, and optimizing network parameters through error back propagation; in the reasoning stage, an encoder network is used for reasoning, and the absolute motion state quantity, predicted by an encoder, of the satellite is converted into an orbit element form, namely, the initial orbit is determined.

The invention discloses a GIS-based artificial influence weather operation command method and device, and the method comprises the steps: obtaining meteorological data and geographic information data, and carrying out the spatial registration of the meteorological data and the geographic information data according to latitude and longitude coordinates, and obtaining the initial data after registration; determining a first target area according to the geographic information data; analyzing the weather data of the first target area based on the initial data, determining an operation mode according to an analysis result, and formulating an operation sowing amount based on the operation mode; and carrying out weather operation in the first target area by using the operation equipment according to the operation mode and the operation sowing amount. According to the invention, through integration of the GIS and the meteorological data, accurate command and control of artificial influence weather operation are realized, and the operation efficiency and effect are improved.

The invention relates to the technical field of wind power generation equipment monitoring, in particular to a draught fan tower footing settlement monitoring method and system based on Beidou high-precision positioning, and the method comprises the steps: S1, setting at least three positioning points below a draught fan tower footing, and installing a Beidou positioning instrument; s2, acquiring longitude and latitude height coordinates of the positioning point, and converting the longitude and latitude height coordinates into earth-centered earth-fixed coordinates; s3, converting the earth-centered earth-fixed coordinate into an east-north-sky coordinate; s4, drawing a monitoring space plane in the three-dimensional space by using the east-north-sky coordinates, and calculating geometric features of the monitoring space plane; s5, building a tower footing position state model based on geometric features of the monitoring space plane; and S6, repeating the steps S2 to S5, and judging whether the tower footing is settled or not and judging the settlement degree by comparing the front and back changes of the tower footing position state model. According to the method disclosed by the invention, millimeter-level monitoring on the settlement of the tower footing of the fan is realized by utilizing the high-precision positioning capability of the Beidou satellite navigation system.

The invention provides an ionosphere TEC prediction model integrating double mechanisms of self-attention and self-correlation, and belongs to the technical field of ionosphere delay prediction, and the model comprises a trend prediction module, a correlation analysis module and a sequence fusion module. Wherein the trend prediction module predicts the overall change trends of an ionized layer TEC sequence and space environment parameters by means of an autocorrelation operation mechanism; the correlation analysis module analyzes the mutual relation among the ionized layer TEC sequence, the space environment parameters and the longitude and latitude positions by using a self-attention mechanism; and the sequence fusion module performs further integration and optimization on the overall trend of the ionized layer TEC sequence by using the correlation information obtained by the correlation analysis module, and finally obtains an ionized layer TEC prediction result fusing the space environment and the latitude and longitude position information. According to the method, the spatial environment data and the longitude and latitude position information are fully utilized, and the accuracy of model prediction is greatly improved.

The invention provides a deep-sea subsurface buoy three-point positioning method. The deep-sea subsurface buoy three-point positioning method comprises the steps that the longitude and latitude of a subsurface buoy weight entering water, the seawater depth and the distance between a deep-sea releaser and the subsurface buoy weight are obtained when a deep-sea subsurface buoy is laid; within a set distance from the water entry point of the subsurface buoy heavy block, three position points which are not in the same straight line are selected, and latitude and longitude coordinates of the three position points are recorded; actually measuring the distances from the three position points to the deep sea releaser; and obtaining latitude and longitude coordinate positions of the deep sea subsurface buoy based on a three-point positioning method of solid geometry. The method has the advantages that the calculation method is simple, the operability is high, the actual laying position of the deep sea subsurface buoy can be corrected, and the estimation precision of the laying position of the deep sea subsurface buoy is improved. And powerful support is provided for subsequent acoustic experiment data processing and subsurface buoy recovery and salvage.

The invention discloses a picture-based power grid facility ledger extraction method and system capable of defining a range, and belongs to the technical field of image processing, and the method comprises the steps: carrying out the picture boundary cutting of a meteorological picture to match a map region; registering the meteorological picture with a map geographic coordinate system to form a longitude and latitude-pixel registration dictionary; the method comprises the following steps: defining and drawing a polygonal region on a meteorological picture to specify a range for extracting power grid facility information, and determining a judgment region by describing a vertex of a polygon to realize extraction of pixel coordinates in a self-defined polygonal range in the meteorological picture; pixel coordinates in the self-defined polygon range in the extracted meteorological picture are converted into corresponding actual longitudes and latitudes through the longitude and latitude-pixel registration dictionary; and extracting and summarizing the power grid facility information in the set range of the geographic coordinates according to the actual longitude and latitude to form a ledger for exporting the power grid facility information. The purpose of quickly and accurately extracting the power grid facility information ledger in the self-defined area from the meteorological picture is achieved.

The invention discloses a three-dimensional reconstruction method, system and device for an extra-high voltage power transmission and transformation line, and belongs to the technical field of point cloud reconstruction. The three-dimensional reconstruction method comprises the following steps: placing a laser radar along the extra-high voltage power transmission and transformation line to obtain point cloud data of the extra-high voltage power transmission and transformation line; rTK positioning software is placed at the laser radar and the selected reference point to obtain longitude, latitude and height coordinate data; correcting and filtering the obtained point cloud data and longitude and latitude coordinate data of the extra-high voltage power transmission and transformation line; splicing the filtered extra-high voltage power transmission and transformation line point cloud data, and constructing a preliminary reconstruction model; performing point cloud segmentation on the preliminary reconstruction model by using a region growing algorithm, and extracting incomplete power transmission tower point clouds in the preliminary reconstruction model; acquiring three-dimensional models of different types of required power transmission towers, and constructing a standard model library; and matching the incomplete point cloud of the power transmission tower with the constructed standard model library, and placing a matched three-dimensional model in a scene to realize complete point cloud reconstruction.

The present invention discloses a method for analyzing the spatio-temporal variation of the earthquake geomagnetic field for short-term and impending earthquake monitoring, which is as follows. First, the geomagnetic stations within a given range of longitude and latitude are divided into multiple rectangular grids according to longitude and latitude. The multi-component data of each station within the range of longitude and latitude on the detection day and the previous 60 days are preprocessed into multiple segments of standard time series. Then, the daily absolute mean error of each component prediction sequence is taken, and the difference sequence is subjected to anomaly detection through a sliding interquartile range detection algorithm to obtain the daily anomaly value of each component. Then, according to the daily geomagnetic disturbance index, the anomalies caused by magnetic storms are removed. Finally, the daily anomaly index matrix of each station is generated according to the grid size, and the sum of the anomaly index matrices of all stations on the detection day and the previous 29 days is obtained to get the final regional daily anomaly index matrix, and the range of anomalous longitude and latitude is obtained. This method monitors the anomalous changes of the geomagnetic field within the region and provides a reference range for the geographical locations where earthquakes may occur.

The invention discloses a positioning method, device and equipment based on ionosphere error correction and a medium, and the method comprises the steps: obtaining a real-time observation data set of a target CORS system, calculating the real-time ionosphere delay of each observation satellite in each reference station, and obtaining a real-time ionosphere delay set; calculating longitude and latitude correction parameters of each reference station through the real-time ionosphere delay set and longitude and latitude change rate reference coefficients pre-acquired by each reference station, and updating a pre-acquired original ionosphere correction model through the longitude and latitude correction parameters to obtain a new ionosphere correction model; and generating a corrected ionosphere error through the new ionosphere correction model, and correcting positioning data acquired by the target CORS system through the corrected ionosphere error. According to the method, the problem that the change rule of the ionosphere on the longitude and latitude is ignored in the traditional positioning technology can be solved, so that the accuracy of the CORS system satellite positioning is improved.

The invention discloses a land gravity far-area terrain correction method and system based on a digital elevation model. The method comprises the following steps of: performing weighted average calculation on a far first region terrain correction value and a far second region generalized terrain correction value of regular distribution measuring points near irregular distribution measuring points by adopting a bilinear interpolation algorithm on the irregular distribution measuring points to obtain a far region terrain correction value; on the basis of a calculation algorithm of a terrain unit gravitational potential vertical partial derivative of a local rectangular coordinate integral kernel of a measuring point under a spherical coordinate system, high-precision calculation and accumulation are carried out on terrain units one by one, the influence of earth surface bending is considered, and a high-precision and high-resolution digital elevation model can be utilized to the greatest extent. A high-precision digital elevation model represented by geographic latitude and longitude is uniformly subdivided for terrain interfaces of a far first area and a far second area, so that digital elevation units with different resolutions are ensured not to be overlapped or have gaps to the greatest extent, and a high-precision and high-resolution digital elevation model is adapted; and subsequent updating and maintenance of the digital elevation model and the remote terrain correction value library are facilitated.

The invention discloses a meteorological element spatial interpolation method based on terrain coupling and a hybrid model. The meteorological element spatial interpolation method comprises the following steps: acquiring meteorological station observation data and digital elevation model (DEM) data of a research area; converting the longitude and latitude coordinates of the meteorological stations into a projection coordinate system which is the same as the DEM data, and extracting DEM values corresponding to the positions of the stations; the longitude, latitude and DEM value of a meteorological station are used as input characteristics, and a thin-plate spline function is adopted to carry out preliminary interpolation; constructing input features of the machine learning model; an XGBoost algorithm is adopted to train a machine learning model; creating a regular grid according to the target resolution, and performing interpolation prediction on grid points; and performing Gaussian filtering smoothing processing on the prediction result to obtain a final interpolation result. According to the method, terrain information is integrated, adaptive parameter optimization for different meteorological elements is realized, calculation efficiency and interpolation precision are balanced, nonlinear characteristics and spatial heterogeneity of meteorological data are processed, and spatial continuity and precision of an interpolation result are improved.

The embodiment of the invention provides a method, a device and equipment for address division completion and a readable medium. The method comprises the steps that address information is classified based on whether the address information in a pre-collected address information base contains longitude and latitude information or not, a first address information set and a second address information set are obtained, the first address information contains the longitude and latitude information, and the second address information does not contain the longitude and latitude information; performing spatial topology processing on the AOI data, and performing spatial analysis based on the AOI data and first address information in the first address information set to complement first zoning information corresponding to a first address in the first address information set; and complementing second zoning information corresponding to a second address in the second address information set based on a pre-established point of interest (POI) name index and a mapping relationship between the address information and the address standard information.

The invention relates to a cutter suction dredger complex section accurate excavation control method and system, and the method comprises the steps: firstly constructing a design section based on geological survey data or construction scheme parameters, and collecting the data of high-precision positioning equipment and related sensors in real time; comprise ship positioning latitude and longitude coordinates, a bridge angle, trunnion draft, a tide level, a compass direction, a trolley stroke and a transverse moving winch cable speed, and the digging depth, the coordinates, the lifting and lowering speed and the transverse moving speed of the reamer are calculated by combining ship type parameters; the method comprises the following steps: firstly, acquiring a reamer coordinate, then acquiring a slope ratio, a sideline coordinate and a design depth of a current design section through the reamer coordinate, calculating a deviation between the reamer position and the design section in real time, and finally, automatically adjusting motion parameters of a reamer through a system built-in control model in a set excavation mode to ensure that an excavation track of the reamer accurately follows the design section. The efficient, accurate and uniform excavation effect is achieved, and the construction accuracy and efficiency of complex section excavation can be remarkably improved.

The invention provides a GNSS-R satellite coverage rate calculation method, electronic equipment and a storage medium. According to the embodiment of the invention, GNSS-R satellite data is acquired; determining an earth surface grid chart based on a preset unit distance, and determining a longitude and latitude range of each grid; mapping the GNSS-R satellite data into an earth surface grid chart according to the longitude and latitude ranges and the longitude data and the latitude data corresponding to the specular reflection points to obtain revisit times and target longitude and latitude data corresponding to each grid; determining a longitude change range according to the earth average distance, the earth average radius and the longitude change function; determining a revisit frequency matrix according to the revisit frequency; and determining an average coverage rate corresponding to each latitude interval based on the longitude change range, the number of grids which are not zero in any row in the revisit frequency matrix, the number of grids contained in the longitude change range and a preset unit distance. According to the method, the coverage rate of the GNSS-R satellite can be calculated, and the detection capability of the GNSS-R satellite can be evaluated.

The utility model provides an equatorial sundial. The equatorial sundial comprises a latitude plate, a sundial surface fixing plate, a sundial disc and a time difference speed checking ruler, the sundial surface fixing plate is formed by folding a sundial surface fixing plate front surface and a sundial surface fixing plate back surface, geographic longitude scales are arranged on the sundial surface fixing plate front surface, and the sundial surface fixing plate is fixed on one side edge of each of the two latitude plates; the sundial disc is clamped between the sundial surface fixing plate front side and the sundial surface fixing plate back side of the sundial surface fixing plate, a sundial needle is arranged in the center of the sundial disc, time scales are arranged on the front side and the back side of the sundial disc, and the front side of the sundial disc is further provided with a geographic longitude alignment line, date scales and a true ordinary time difference graph corresponding to the date scales. The geographical longitude alignment line is aligned with the geographical longitude of the corresponding observation place on the geographical longitude scale; one end of the time difference speed checking ruler is provided with a first positioning hole which can be positioned on the sundial needle, and the time difference speed checking ruler is provided with time difference scales. The time difference measuring device can be widely applied to different places, and is convenient to measure time difference and convenient to manufacture.

The invention relates to the technical field of data reasoning, and discloses a new energy station output prediction method, which comprises the following steps of: extracting environment characteristics in meteorological data, coding the environment characteristics into environment characteristic vectors, and combining inverter change conditions and component attenuation characteristics of a new energy station into equipment characteristic vectors; fusing the environment feature vector and the equipment feature vector into a dynamic feature vector of the new energy station; predicting an initial output value of the new energy station based on the dynamic feature vector; constructing a spatial relationship matrix based on the latitude and longitude coordinates of the new energy station, and superposing the illumination intensity in the meteorological data into the spatial relationship matrix to obtain the spatial weight of the new energy station; when the new energy station is a hub station, strengthening the spatial weight according to the output fluctuation correlation between the hub station and the peripheral stations, and predicting the final prediction value of the new energy station based on the strengthened spatial weight; according to the invention, the accuracy and speed of new energy station output prediction can be improved.

The invention provides an IGSO satellite tracking method and device of an automatic satellite tracking antenna and a medium. The method comprises the steps that orbit parameters and epochs of a target IGSO satellite are acquired; extrapolating the orbit from the orbit epoch moment, setting the extrapolation time as an orbit period T and calculating the step length S; converting the orbit data into earth-fixed system coordinate system coordinates and sub-satellite point data at corresponding moments; and calculating the direction vector of the antenna pointing to the satellite according to the latitude and longitude of the tracking antenna and the earth-fixed system coordinate data at the corresponding moment, and converting the direction vector into an azimuth angle and a pitch angle, thereby generating an antenna guide data file. And then calculating a guide data sequence number at the current moment through a date difference value between the current system time and the track epoch moment. And finally, the antenna orientation and the pitching motor are controlled to move to the target position corresponding to the guide data serial number, and the technical scheme provided by the invention can realize the tracking of the traditional automatic satellite tracking antenna on the IGSO satellite on the premise of not changing the antenna form.

The invention discloses an inertial navigation system periodic oscillation suppression method based on time-frequency transformation, and relates to the technical field of underwater navigation, and the method comprises the following steps: S1, modeling an error propagation model of an INS, and defining coordinate systems required by INS navigation, including an inertial coordinate system, a navigation coordinate system and a body coordinate system; based on the INS navigation equation, obtaining an INS error model, and carrying out time domain analysis to obtain an analytical solution of time domain error divergence; s2, designing a time-frequency transformation NTFT, proposing a normal phase time-frequency transformation method, and constructing a complete observation equation; s3, substituting a null method into a calculated longitude and latitude result, and accurately extracting frequency, phase and instantaneous amplitude in inertial navigation longitude and latitude; and S4, establishing a resolving framework of the inertial navigation system periodic oscillation suppression method based on time-frequency transformation, and constructing a negative feedback loop through input gyroscope and acceleration information to suppress periodic errors.

An apparatus for displaying the passage of time as we experience the movement of the sun. Civil time, solar time, sunrise, solar noon, sunset, the date, equinoxes, solstices, and seasons are represented in a single, integrated display. The display includes a representation of the sun revolving about a center once per day, rising and setting relative to a representation of the horizon, with solar noon, rather than civil-time noon, continuously at the top of the display. The apparatus accounts for and is adjustable to latitude and longitude. The apparatus accounts for all naturally perceptible motions of the earth with respect to the sun, including the variation in the length of the solar day, whose cumulative difference with civil time is expressed as the equation of time.

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 belongs to the technical field of multi-modal data fusion, and particularly discloses a text data and radar track association method and device, and the method comprises the steps: carrying out the entity recognition and spatial-temporal change relation extraction of to-be-associated text data; the position entities are converted into latitude and longitude coordinates, the latitude and longitude coordinates serve as nodes, a text data graph is constructed according to the time sequence of arrival time of all the nodes, and the distance between the nodes serves as an edge weight; a radar track within the departure time and arrival time range of the target is intercepted, if the time period corresponding to the intercepted radar track is larger than a preset threshold value, the latitude and longitude coordinates of each track point in the radar track serve as nodes, a radar track chart is constructed according to the time sequence of arrival time of the nodes, and the distance between the nodes serves as an edge weight; based on a graph neural network, determining embedding vectors of the text data graph and the whole radar track graph; and splicing the embedded vectors of the text data graph and the radar track graph, and inputting the spliced embedded vectors into a binary classifier to obtain an association result of the text data.

Wearable electronic devices can be equipped with global positioning system (GPS) location sensors that can be used to determine its latitude and longitude coordinates. The device can include a magnetometer sensor to determine its direction on a digital compass. The device can be used to configure the location of a GPS boundary. The size and shape of the boundary can be configured on either the wearable device or a separate computing device. The wearable device can be either inside of a boundary or outside of a boundary. The boundaries can have assigned priority levels that may determine the information displayed on the device. The device can traverse boundaries of different priority levels that may determine the information displayed on the device. The device's boundary status can be relayed to a server for data processing.

The invention discloses a target positioning method and system based on target height correction monocular distance measurement, and the method comprises the steps: carrying out the calibration of a ship-borne camera through a data set, employing a YOLO target detection model, carrying out the detection of video data collected by the ship-borne camera, and obtaining the bounding box information of a target; and secondly, according to bounding box information, calculating a yaw angle of the target relative to a main point of the shipborne camera, and obtaining an azimuth angle by combining an orientation angle of the main point of the shipborne camera. And then height correction is carried out to measure the distance between the target ship and the shipborne camera. And finally, according to the azimuth angle and the distance, combining the latitude and longitude coordinates of the shipborne camera to obtain the actual geographic latitude and longitude coordinates of the target ship. According to the method, the goodness of fit between distance measurement and actual image geometry is improved, the actual object distance is reflected more accurately, and accurate and efficient target positioning is carried out.

The nine-grid coordinate system is a novel geographic coordinate digital coding positioning system, and a recursive nested structure of multi-layer grid and digit combination is suitable for geographic map address coding. And the positioning precision is improved in an exponential level along with the increase of levels. Digital codes generated through nine-grid coordinate system positioning have various meanings, such as distance, orientation, positioning, area, color and the like, and a user can give extra meanings to the codes in a self-defined mode according to the requirements of the user. Meanwhile, the generated digital coding positioning function can be compatible with latitude and longitude coordinates of GPS, Beidou and other positioning systems, and mutual conversion can be realized.