98 results about "Geocoding" patented technology

The invention relates to the technical field of CIM (common information model) platforms, in particular to a multi-element and multi-scale data management method and system based on a CIM basic platform, and relates to data acquisition, access and classification in a service interface, incremental acquisition and offline copying mode. Data needs to be translated to conform to spatial, elevation and temporal references of a CIM platform, unify geocoding and spatial expression, and semantic-based place name address association. And the BIM and the CIM are fused through a knowledge graph. And performing three-dimensional data grading processing, and constructing CIM1 to CIM5 grade data. Government affair data are subjected to graph falling through a unified address library. Overall data governance covers data aggregation, classified governance, two-dimensional and three-dimensional fusion, BIM and CIM fusion technology and government affair data association, classification and level-to-level management of data is realized, different data combination application is supported, and CIM business application and government affair process auxiliary approval and decision making are assisted.

A technique for interacting with map-related information integrates the use of a machine-trained language model. Upon submission of a query, the technique uses the machine-trained language model to assess at least one intent associated with the query. The technique then invokes an intent-specific processing flow to provide an output result. Each processing flow invokes the use of at least one processing engine to perform an engine-specific task, such as geocoding, route finding, or image retrieval. A processing flow can also call on the machine-trained language model one or more additional times. In some cases, the technique includes a feedback mechanism for soliciting additional information from a user.

The invention provides a multi-base satellite-borne SAR (Synthetic Aperture Radar) three-dimensional imaging method and device, and belongs to the technical field of SAR image three-dimensional imaging. The method comprises the steps of image preprocessing; geocoding and registration are carried out; removing a flat ground effect and a terrain phase; compensating an atmospheric phase error; the invention relates to high-precision tomography SAR three-dimensional imaging. The device comprises an external DEM data acquisition module, a registration module, a simulation module, a compensation module and an imaging module. According to the invention, a high-precision three-dimensional imaging result can be obtained.

The invention provides a geographic coordinate optimization method based on a point-of-interest constraint multi-source network geocoding platform, which belongs to the field of geocoding result data processing, and comprises the following steps: S1, a user uses a CRF model to divide an input text address into a rough address feature and a precise address feature; s2, generating a minimum geographic encirclement circle according to the rough address features; s3, theoretical coordinates are calculated according to the accurate address features, and the theoretical coordinates are marked as (Xm, Ym); s4, coding results of all the geocoding platforms form a candidate set; s5, if the coding result in the candidate set is not in the minimum geographic encirclement, outputting the theoretical coordinates (Xm, Ym); and if at least one coding result in the candidate set is located in the minimum geographic encirclement, calculating optimized geographic coordinates (X < optimal > and Y < optimal >) and outputting the optimized geographic coordinates (X < optimal > and Y < optimal >). According to the method, coding result errors of all geocoding platforms are reduced, and the coding result accuracy is improved.

The invention belongs to the field of remote sensing technology and environment monitoring, and particularly relates to a three gorges reservoir area ground surface settlement monitoring method, system and device based on multi-source remote sensing data, and the method comprises the steps: obtaining a plurality of single-view complex images and corresponding image surface coverage data in a period of time, and carrying out the preprocessing of the image data; carrying out SBAS-InSAR processing on the preprocessed image data, wherein the SBAS-InSAR processing comprises carrying out interference, inversion and geocoding processing on the image; fusing the coded data by adopting a multi-source remote sensing data fusion technology; inputting the fused image into a pre-trained machine learning model to obtain a three gorges reservoir area ground surface settlement monitoring result; by introducing multi-source remote sensing data fusion and an advanced machine learning model, the problems of single data source, difference in temporal-spatial resolution, poor model adaptability and the like in the prior art are solved, and the precision, the stability and the robustness of ground surface settlement monitoring and evaluation are remarkably improved.

The invention discloses an urban non-fortification building reinforcement identification method and device based on historical streetscape pictures, and relates to the technical field of civil engineering technology and image processing, and the method comprises the steps: constructing a streetscape sequence data set containing time sequence features according to the historical streetscape pictures and streetscape metadata, the method comprises the following steps: firstly, constructing a streetscape feature extraction model, marking streetscape pictures of non-fortified buildings in different reinforcement states to obtain a streetscape training set, and training the streetscape spatial-temporal feature extraction model which is an improved FCOS network; inputting a streetscape sequence image to be recognized into the trained streetscape spatial-temporal feature extraction model, and determining a reinforcement state and a change time point of a non-fortified building in the streetscape sequence image; and in combination with geographic information data, geocoding is performed on the identified building, the spatial distribution and change trend of the reinforced building are obtained, and a building reinforcement thermodynamic diagram over the years in the region of interest is obtained. According to the invention, the efficiency of building safety management can be greatly improved, and the investment of human resources is reduced.

The invention relates to the technical field of risk monitoring, in particular to a brucellosis risk monitoring and early warning method based on remote sensing and GIS (Geographic Information System), which comprises the following steps of: acquiring multi-stage remote sensing images to construct an ecological grid set, hanging cases, positioning and generating a disease source boundary map layer, identifying a high vegetation and temperature intersection area to form a risk structure, and carrying out early warning on the risk structure. And extracting the display area and superposing the GIS map to output early warning information. According to the method, the multi-stage remote sensing image covering the key epidemic area is obtained, region segmentation and geocoding registration are executed, by means of coupling detection of the normalized vegetation index and the land surface temperature, the spatial intersection region with the pathogen propagation suitable ecological condition can be identified, the risk index is calculated according to the graph block structure distribution, and the risk level label is given; according to the method, accurate positioning and hierarchical evaluation of a high-risk ecological environment and historical case space overlapping region are realized, the space prediction precision and the intuition of risk prompt are improved, and the capability of responding to the brucellosis potential outbreak trend in advance is effectively enhanced.

The invention relates to the technical field of spatial geographic data desensitization and processing, and discloses a data desensitization analysis method and system based on a space-time grid, and the method comprises the steps: generating a grid unit based on a preset geocoding rule; carrying out association processing on the grid units and administrative region hierarchy information to generate basic grid units containing administrative region hierarchy identifiers; performing intersection space operation on the basic grid units and the space data to obtain grid units with an intersection relation; expanding source element attribute fields for the grid units with the intersection relationship, and storing source element attribute data of the spatial data to the source element attribute fields corresponding to the grid units; performing desensitization processing on the grid units storing the source element attribute data to obtain desensitized grid units; and performing multi-scale data aggregation and analysis on the desensitized grid units based on the administrative level identifiers of the basic grid units. According to the method, the security, flexibility and efficiency of a spatial geographic information data analysis technology are improved.

The invention relates to an expressway ponding recognition method based on remote sensing data and deep learning. The expressway ponding recognition method comprises the following steps: collecting single-view complex image data in a synthetic aperture radar; carrying out denoising on the single-view complex image data, removing random speckle noise, and then carrying out smooth processing, geometric correction and radiometric calibration; geocoding is carried out in combination with DEM data, and imaging geometric distortion and position offset are removed; combining the remote sensing image, labeling a data label, and constructing a data set; constructing an image segmentation model based on a U-Net network; inputting an enhanced data set into the image segmentation model to carry out model training; and inputting a radar image needing ponding identification into the image segmentation model to carry out ponding identification in the expressway road domain range. The water body classification method based on the U-Net network is constructed and verified. By making a high-quality urban water body annotation data set and introducing various data enhancement strategies, the segmentation performance of the model in a complex remote sensing image is remarkably improved.

The invention discloses a phase unwrapping method for an SAR (Synthetic Aperture Radar) interferometric phase diagram. The phase unwrapping method comprises the following steps: acquiring prior information of the interferometric phase diagram; based on prior information, unwrapping the interferometric phase diagram to obtain an absolute phase; elevation information is extracted according to the absolute phase; according to the elevation information, the prior information is reversely optimized. The acquisition of the prior information is based on image segmentation of the interferometric phase diagram. According to the phase unwrapping method for the SAR interferometric phase diagram and the related product, all segmented areas are executed one by one, all reconstruction results are further geocoded and integrated, fine three-dimensional reconstruction of a building can be achieved, target extraction is conducted by fusing structural features in the two-dimensional imaging direction, and the construction efficiency is improved. And the accuracy of building identification is obviously improved. The structure auxiliary information of image segmentation effectively reduces the risk of phase discontinuity in the phase unwrapping process, significantly reduces the unwrapping error, and achieves the high-precision and low-cost three-dimensional reconstruction of a building under the condition of a double-track long baseline.

The invention discloses a feature fusion type permanent scatterer recognition technology based on deep learning. The method comprises the following steps: firstly, constructing a residual attention U-shaped network to extract SAR image spatial features, and constructing a C-LSTM network to extract differential interferometric phase time sequence features; a feature fusion module is constructed to couple spatial features and time sequence features, and a prediction module is constructed to output a dual-channel permanent scatterer recognition result; and finally, obtaining a single-channel permanent scatterer identification result through channel maximum value screening, and further obtaining the spatial distribution of the permanent scatterer in the research area by using image block splicing and geocoding technologies. According to the method, a data driving mode is adopted, and rapid recognition of the permanent scatterer can be realized through network training; according to the permanent scatterer identification technology provided by the invention, mixed loss of weighted summation of focus loss and residual point loss is adopted, the problem of imbalance of positive and negative difficult samples is solved, and effectiveness evaluation of an identification result acting on a downstream task is realized; according to the method, permanent scatterer identification is carried out by using the constructed feature fusion type network and the mixed loss, and a relatively small number of residual points can be kept while a relatively large number of permanent scatterers are identified, so that the identification result has relatively large possibility when acting on a downstream task, and an accurate earth surface deformation result can be obtained.

The invention provides a stereo SAR control point automatic extraction method based on variance component estimation. The method comprises the following steps: acquiring double-track or multi-track multi-scene time sequence SAR images and DEM data of the same target area, registering the multi-scene time sequence SAR images of the same track, extracting permanent scatterers on the images for geocoding, acquiring rough geographic coordinates of the permanent scatterers, and inversely calculating initial homonymy pixel coordinates of the permanent scatterers on the other track, so as to obtain a target target area; a plurality of candidate homonymous pixels and sub-pixel-level coordinates of each candidate homonymous pixel are obtained, distance direction and azimuth direction time observation values of the candidate homonymous pixels are corrected, an adjustment function model about the time observation values and three-dimensional geographic coordinates is established, a linearized function model is iteratively solved through variance component estimation, and the time observation values of the candidate homonymous pixels and the three-dimensional geographic coordinates of the candidate homonymous pixels are calculated. Obtaining a variance-covariance matrix of the estimation parameters; and determining the final homonymous pixels and the three-dimensional geographic coordinates thereof based on the standard deviation threshold. According to the invention, the positioning calculation precision of the stereo SAR control points is improved, and a large number of high-precision ground control points can be extracted.

The invention relates to the technical field of first-aid information management, and discloses a first-aid information management system and method based on a mobile internet and a two-dimensional code, and the method comprises the following steps: obtaining a unique identifier of equipment from a security chip, generating a dynamic encryption UUID through a hybrid encryption algorithm in combination with a precise timestamp and geocoding data, and storing the dynamic encryption UUID in the security chip; a key derivation technology is adopted to ensure that each session key is independent, and finally a standardized encrypted identifier is output; the encrypted UUID, the timestamp and the metadata of the authority level are integrated with the digital signature, and the dynamic two-dimensional code containing the ultraviolet mark is generated through serialized coding, error correction enhancement and physical anti-counterfeiting processing. Through deep fusion of dynamic data anchoring and multi-dimensional security verification, an end-to-end trusted first-aid information channel is constructed, and information lag and security defects of a traditional static management mode are effectively overcome.

The embodiment of the invention provides a ground distance geometric imaging grid division method and system for back projection of a synthetic aperture radar, and belongs to the technical field of radars. According to the scheme, satellite orbit parameters, radar parameters and radar echo data are acquired; center coordinate information of a scene center point is determined according to the satellite orbit parameters and the radar parameters, and the scene center point represents a geometric center point of the imaging area; dividing grids on the three-dimensional ground distance plane according to the central coordinate information and the imaging resolution by combining a digital elevation model to obtain a ground distance geometric imaging grid; and performing backward projection imaging processing on the ground distance geometric imaging grid according to the radar echo data to obtain an imaging result. According to the method, the process of terrain correction after conversion from a slant distance imaging plane to a ground distance imaging plane is not needed, the processing efficiency can be improved, and the synthetic aperture radar image with geocoding can be directly generated.

The invention relates to the technical field of ship track area retrieval, in particular to a ship historical track area retrieval method which comprises the following steps: S1, constructing an index; s2, searching a historical track area; the method comprises the following steps: (1) a user gives a geographic space area and a time range as query conditions; (2) adjusting a coding mode of the Google S2; (3) decomposing a geographic space region input by a user by adopting a region coverage algorithm of Google S2 to obtain a group of geographic coding values containing the region; and (4) converting the obtained geocoding value, carrying out quick retrieval by utilizing a MySql database leftmost prefix matching principle and fuzzy query, and giving track data meeting conditions by the database. According to the method, the required query times are reduced, the response speed of the database is accelerated in combination with concurrent query, and the storage pressure of the index is relieved.

The invention provides a geographic coding-based investment attraction map drawing method, system and device and a medium, and belongs to the technical field of map drawing, the method comprises the following steps: establishing an enterprise library for an investment attraction area, and carrying out geographic coding on an enterprise address in enterprise information in the enterprise library to obtain an enterprise geographic coordinate; performing address analysis and aggregation on enterprise addresses in the enterprise information to obtain administrative division codes of each level of a region to which an enterprise belongs; performing enterprise information summarization of each level on the administrative division code of each level of the investment attraction area, and storing a summarizing result; and in response to the hierarchical display request of the user, rendering the enterprise information summarized at the corresponding hierarchy for the investment attraction map, and in response to the enterprise display request of the user under the lowest hierarchical display request, performing enterprise position rendering according to the enterprise geographic coordinates. According to the method, through automatic address coordinate conversion and map drawing, the drawing efficiency of the investment attraction map is improved, and the accuracy of the enterprise position is ensured by utilizing the geocoding service.

The present invention provides a method and system for monitoring deformation of a fire-affected building based on air-ground remote sensing networking, comprising: obtaining radar images through a ground deformation monitoring radar A, a UAV deformation monitoring radar B, and a UAV deformation monitoring radar C; geocoding the remote sensing images obtained by each radar, mapping the image coordinates of the building structure target in the radar slant range-azimuth polar coordinate system to local space three-dimensional coordinates; and iteratively solving the target three-dimensional deformation component and deformation speed according to radar distributed networking monitoring. The present invention can perform high-precision monitoring of the three-dimensional deformation of the building structure target in the fire emergency rescue scene.

To provide a provision device capable of providing a delivery destination location even when accurate location information cannot be obtained through geocoding, a provision method, and a program.SOLUTION: A provision device 100 comprises: an acceptance unit 110 which accepts an address character string; an acquisition unit 120 which acquires latitude and longitude information associated with the accepted address character string; an extraction unit 140 which extracts location information recorded in association with the accepted address character string from a database 130; a determination unit 150 which determines whether or not the latitude and longitude information is correct; and a provision unit 160 which provides delivery destination map information for displaying a location defined by the latitude and longitude information on a map if the latitude and longitude information is determined to be correct, and provides delivery destination map information for displaying a location of the accepted address character string on the map on the basis of the extracted location information if the latitude and longitude information is determined to be incorrect.SELECTED DRAWING: Figure 2

The invention belongs to the technical field of mine ventilation and resistance monitoring, and particularly provides an ultrasonic precise wind measurement and resistance online monitoring method and related equipment thereof.The method mainly comprises the steps that original sound wave features collected by an ultrasonic transducer array are obtained, and an initial feature data set is generated through integration; based on the initial feature data set and the underground propagation calibration value, a dust propagation resistance time difference set is generated through fusion; analyzing a roadway space grid according to the dust propagation resistance time difference set, and generating a resistance hot area distribution map; calculating a grading resistance state index through dynamic flow field comparison of a resistance hot area distribution map; and generating a space coordinate safety instruction according to a positioning result of the graded resistance state index. According to the method, interference of multiple factors such as dust on sound wave propagation in a complex environment can be accurately corrected, the calculation precision of the propagation time difference value is remarkably improved, roadway resistance distribution analysis and safety instruction space coordinate generation are optimized, and the accuracy and reliability of mine ventilation monitoring are practically guaranteed.

The present invention belongs to the field of communication positioning technology, and provides an address positioning correction method, system and storage medium based on geocoding. The positioning correction method of the present invention includes: comparing the positioning information of a mobile device with the actual location information and determining whether correction is required; scanning a house coding QR code or photographing a landmark building, uploading it to a server for parsing and obtaining the location information therein; geocoding the location information to obtain longitude and latitude information, and comparing it with the actual location information; determining whether the location information data conforms to the actual address, and presenting the final address text information after performing location correction. The method and system of the present invention correct the location information of houses and landmarks to avoid the problem of mismatch between the actual address and the image watermark address, and the problem of large deviation in positioning information, which greatly improves the work efficiency of banks in reviewing the information of loan companies, while reducing the rework of operators.

The present disclosure provides an InSAR deformation monitoring method using the bridge target extraction result, including: acquiring an optical remote sensing image and performing rotated rectangle annotation on its bridge target, and obtaining a bridge multi-target detection model through a target detection algorithm; inputting the remote sensing image to be detected into the bridge multi-target detection model for detection to obtain the final detection result; acquiring the corner coordinates corresponding to the detection result, generating a SHP vector bridge extraction result through geocoding, and obtaining a bridge extraction boundary mask file for the research area; processing the time-series SAR images of the research area by the PS-InSAR method, and taking into account the above bridge boundary mask file when selecting PS points, and finally obtaining the cumulative deformation result of the bridges in the research area. The present disclosure uses a deep learning method to automatically and accurately extract the position, length, width, axial direction and other information of the bridge target in the remote sensing image, connects it with the InSAR data processing technology, increases the PS points of the bridge target in the research area, and effectively improves the processing speed and accuracy of deformation monitoring.

The present application provides a method, apparatus, device, and storage medium for determining a vehicle position. By performing geocoding on the longitude and latitude within a target area, a geocoding standard table is obtained; the running data of the vehicle is acquired, and based on the longitude, latitude, and running status in the running data, a running trajectory of the vehicle is generated; then, geocoding is performed on the longitude and latitude of the starting point and the ending point of the running trajectory to obtain a starting point coding result and an ending point coding result respectively; the starting point coding result of the running trajectory and the ending point coding result of the running trajectory are respectively associated and matched with the geocoding standard table to obtain the starting point position and the ending point position of the running trajectory; the number of stops of the vehicle at the starting point position and the ending point position within a first time period is counted, and the position with the most stops is used as the permanent residence position of the vehicle. The present application analyzes the starting and ending point city information according to the geocoding standard table, and finally performs statistics on the starting and ending point cities of the trajectory to obtain the permanent residence city information.

The invention relates to the technical field of combined transport management, and discloses a multimodal combined transport waybill automatic matching method and system.The method comprises the steps that waybill key information is extracted through a multimodal OCR technology and converted into a unified format through a standardized processing model, then space-time geocoding and multimodal combined transport line simulation are carried out, and the multimodal combined transport waybill key information is obtained; according to the method, path clustering processing is carried out based on a graph convolutional neural network, path selection is optimized by using an ant colony algorithm, a path scheme is updated in real time through a combined transport decision platform, optimization analysis is carried out in combination with real-time data, and an optimal combined transport scheme is finally generated. The intelligent and automatic level of multimodal transport is effectively improved, and the problem that an optimal scheme is difficult to provide for complex multi-waybill multimodal transport in the prior art is solved.

The invention provides a geographic code and district and county value indexing method and a related device. An electronic device obtains a plurality of geographic district and county pairs to be processed; wherein the plurality of geographic district and county pairs record a corresponding relationship between the plurality of geographic codes and the plurality of district and county values; based on the character sequence of the geocodes, grouping and combining the geocodes step by step according to prefix consistency to obtain a plurality of hierarchical masks with hierarchical relationship; wherein each level mask marks the common prefix of the corresponding level in a binary mask mode; and constructing an index tree according to a hierarchical relationship among the plurality of hierarchical masks. Wherein the index tree takes a plurality of hierarchical masks as non-leaf nodes, and takes a plurality of county values as leaf nodes in the index tree. Therefore, the geographical district county pairs with the public prefixes are merged step by step, and the public prefix information is compactly expressed in a binary mask form when the index tree is constructed, so that the memory occupation of the index structure is remarkably reduced.

The invention discloses a text address processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: in response to a received processing request of a text address, performing word segmentation recognition on the text address, and performing first splitting on the text address according to a word segmentation recognition result to obtain a word segmentation text; according to a preset address hierarchy, performing hierarchy identification on each word segmentation text, and according to a hierarchy identification result, performing second splitting on each word segmentation text to obtain a segmentation text corresponding to the address hierarchy; and storing each segmented text in a segmented manner. According to the embodiment, the segmented texts with the clear structural hierarchy are obtained on the basis of the word segmentation texts in combination with the preset address hierarchy, and the segmented texts are stored in the segmented mode, so that redundant texts are avoided, storage resources are saved, and the segmented texts with the clear and accurate structural hierarchy also improve the geocoding and searching accuracy.

The present invention discloses a terrain correction geocoding method, system, device, and medium. The method performs image transformation processing on the acquired multi-view amplitude data to obtain a strong scattering area mask. Based on the acquired digital surface model data, multi-view radar parameter data, and multi-view amplitude data, the method obtains the first overlapping area mask and radar domain coordinates of the ground object target in the digital surface model data in the radar domain coordinate system, the second overlapping area mask of the ground object target in the latitude and longitude coordinate system, and the geocoding coordinates and weights of each overlapping pixel point corresponding to the second overlapping area mask. The strong scattering area mask and the first overlapping area mask are matched to obtain an overlapping area. The overlapping area is corrected using a correction amount model constructed based on the geocoding coordinates and weights to obtain corrected image data. The method provided by the present application has more accurate correction, does not rely on simulated SAR imaging algorithms, nor on image matching algorithms, and has higher adaptability.

The present invention discloses an interactive geocoding parsing system based on a multi-source geocoder, which includes a structured place name database, a geocoding module, an overlapping point checking module, an artificial verification and fixed-point module, and a result output module. The present invention utilizes multiple geocoders for geocoding and optimizes the coding results from two directions: the coding quality of the geocoders and spatial clustering. It not only fully considers the coding quality of each geocoder and performs quality control on the coding results, but also performs clustering and fusion on the coding results based on the objective spatial position relationship. The artificial verification and fixed-point module of the present invention can further solve problems such as overlapping coding results of different address names in the synchronous coding of multiple geocoders, large differences in the results of the same address name in different geocoders, and the inability of some encoders to parse coordinate results due to different address databases through a human-computer interaction method.

The invention provides a slope three-dimensional deformation monitoring method based on multi-platform InSAR covariance constraint. The slope three-dimensional deformation monitoring method based on multi-platform InSAR covariance constraint comprises the steps of determining a synchronization time window of multi-platform InSAR processing; obtaining an InSAR time sequence interferogram of each platform; errors existing in the InSAR time sequence interferograms of all the platforms are corrected; calculating the variance of the corrected InSAR time sequence interferogram of each platform; calculating a coherence coefficient between the interferograms; calculating the average deformation rate uncertainty and the accumulated deformation uncertainty of the LOS direction in the synchronization time window of each platform; calculating an average deformation rate and an accumulated deformation in the LOS direction in the synchronization time window of each platform; geocoding and resampling are carried out on a multi-platform InSAR processing result; a multi-platform InSAR slope three-dimensional deformation calculation model is established; a multi-platform InSAR joint variance-covariance matrix is constructed; constructing a three-dimensional direction error transfer model; and high-precision slope three-dimensional deformation is extracted based on the established improved multi-platform InSAR slope three-dimensional deformation calculation model. The purpose of improving the precision of a slope three-dimensional deformation monitoring result is achieved.

The application discloses a distributed InSAR system atmospheric phase correction and deformation extraction method, belongs to the field of satellite image processing, and is characterized in that the method comprises the following steps: acquiring multi-satellite near-synchronous observation data of a distributed InSAR system to perform image registration; performing conjugate multiplication on the registered images to obtain interference phases; performing difference on the two interference phases to perform atmospheric phase correction; performing phase filtering processing on the interference phases after the atmospheric phase correction; performing phase unwrapping on the interference phases after the filtering processing; and performing geocoding processing to complete deformation extraction. Through near-synchronous imaging of multiple platforms on the same region, the generation path of time dimension interference is cut off from the physical layer, the influence of short-term atmospheric fluctuation on the phase is greatly weakened, noise and ambiguity in the phase unwrapping process are further removed in combination with the redundancy of multi-view observation of the distributed system, and high-precision extraction of the surface deformation field is realized.

Embodiments of the present application provide a method and device for determining the geographic coding of a traffic station of a target trip. The method comprises: obtaining origin station data, arrival station data and trip information of the target trip; querying at least two groups of candidate arrival station data according to the arrival station data; obtaining at least two groups of multi-dimensional feature vectors according to the origin station data, the trip information and each group of candidate arrival station data; determining the geographic coding of the traffic station of the target trip according to the two groups of multi-dimensional feature vectors; and outputting the geographic coding of the traffic station of the target trip. Embodiments of the present application can accurately distinguish between stations with the same name but different locations, effectively reduce the error rate of zoning identification, and ensure the accuracy of core businesses such as fare setting and financial subsidy allocation.