50 results about "Geocoding" patented technology

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.

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 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 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 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 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.

The invention relates to a beacon item address confirmation method and device, electronic equipment and a storage medium, and the method comprises the steps: decomposing a beacon item address text, and obtaining a fuzzy modifier in a decomposition result; the fuzzy modifier in the mapping item address text is identified; a candidate coordinate set of a decomposition result is obtained through multiple pieces of geocoding service software, so that the coverage rate and accuracy of address resolution are improved; the fuzzy modifiers and the candidate coordinate set are quantified based on a two-dimensional Gaussian probability distribution model, a fuzzy range is obtained, the spatial range of'nearby 'fuzzy modifiers and other fuzzy modifiers is quantified, and the problem of insufficient fuzziness processing is solved; and performing data fusion on the candidate coordinate set and the fuzzy range to obtain the optimal longitude and latitude coordinates, and solving the problem of lack of mathematical optimization through multi-source data fusion, so that the method can be adaptive to complex scenes, a more accurate beacon project address can be obtained according to the optimal longitude and latitude coordinates, and a project position visual display effect is improved.

The invention discloses an address data processing method and a geocoding method, and the address data processing method comprises the steps: processing sample data, and obtaining partial order relation sample data for sample target address data; according to the preset correlation index data and correlation index data between multiple pieces of specified sample candidate address data contained in the partial order relation sample data and the sample target address data, obtaining matched sample candidate address data of which the correlation index data with the sample target address data is greater than the preset correlation index data. The initial model is trained through the partial order relation sample data, so that the association index data between the target recall address data predicted by the trained address association index model in the multiple recall address data of the to-be-queried address data and the to-be-queried address data is greater than the preset association index data; and the accuracy of the target recall address data obtained by the model is improved.

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.

This invention provides an address mapping method, apparatus, electronic device, and storage medium based on a geocoding library. The method involves: acquiring address query information; parsing the address query information to obtain address information features; matching the address information features against a geocoding library to obtain a candidate address list corresponding to the address information features; evaluating the matching degree of the candidate addresses in the candidate address list; and selecting the candidate address with the highest matching degree score as the target candidate address. This invention can obtain the target candidate address during the address query process by matching the parsed query information with data in the geocoding library, thus ensuring the accuracy of address matching. Furthermore, it can automatically select one from the matching results as the final address matching result based on pre-set scoring rules, thereby achieving automated address matching and reducing the degree of manual intervention. This invention can be applied to the field of geographic information system technology.

The application relates to a lithium battery equipment management method based on geographical position distribution. The method is characterized in that: an inverse geocoding database is established in advance, each inverse geocoding data corresponds to a POI (point of interest), and the geographical position corresponding to the inverse geocoding data is determined; after the lithium battery equipment periodically reports the longitude and latitude information of the current position, the current position is subjected to inverse geocoding by an inverse geocoding server, and the current geographical position description of the lithium battery equipment is quickly obtained through the query matching of the inverse geocoding and the inverse geocoding database; and the current area information of the lithium battery equipment is obtained in combination with the inverse geocoding database, and the device state information and fault information are displayed, so that the lithium battery equipment operation scheduling is facilitated, and the operation efficiency is improved.

A high precision geocoding method for a ground-based synthetic aperture radar image is provided, which relates to the technical field of ground-based synthetic aperture radar data processing. Geometric mapping registration is performed on radar two-dimensional imaging information and topographic data in a monitoring area to achieve mutual transformation between a two-dimensional polar coordinate system of radar and a spatial three-dimensional point cloud coordinate system and determine spatial position information of deformation of a unique side slope ground object target in a radar resolution unit. Moreover, radar time sequence deformation data may be converted into information of deformation along a major sliding direction of the side slope by determining projection transformation parameters of a side slope sliding vector and a line-of-sight direction vector.

The embodiment of the invention relates to the technical field of geocoding, and discloses a geocoding matching method and device, equipment and a medium. Loading a road name address, and performing word segmentation processing on the road name address by using an IK word segmentation device; calculating the word segmentation word frequency of the road name address, forming a word frequency vector, and storing the word frequency vector of the road name address in a cache; obtaining a to-be-matched geographic address, and performing word segmentation processing on the to-be-matched geographic address by using an IK word segmentation device; calculating word segmentation word frequencies of the geographic addresses to be matched and forming word frequency vectors; traversing the word frequency vector of the road name address in the cache, and calculating a similarity value between the word frequency vector of the geographic address to be matched and the word frequency vector of the road name address by using a cosine similarity algorithm; and according to the similarity value, determining a road name address having the highest similarity with the geographic address to be matched, and outputting corresponding geographic coordinates. The technical problem of inaccurate geocoded word matching can be at least solved.

The invention discloses a geocoding method and device for an SAR image and a storage medium. The geocoding method comprises the steps of generating a first terrain contour map and a plurality of first remote sensing images in a corresponding coverage area based on the SAR image; determining a target pixel point in the SAR image, and determining a first ground area corresponding to the target pixel point according to azimuth information corresponding to the target pixel point and the first terrain contour map; determining a plurality of second ground areas corresponding to each pixel point on each first remote sensing image, and determining a target pixel point corresponding to the first ground area on each first remote sensing image based on the plurality of second ground areas and the first ground area; pixel values, corresponding to the target pixel points, on the first remote sensing images are determined, and pixel value vectors corresponding to the target pixel points are generated; and inputting the pixel value vector into the SAR prediction model, and outputting a first intensity value. The technical effect that the researchers can conveniently monitor the terrain is achieved.

The present invention relates to the field of risk monitoring technology, specifically a brucellosis risk monitoring and early warning method based on remote sensing and GIS, comprising the following steps: acquiring multi-period remote sensing images to construct an ecological grid set, attaching case locations to generate an epidemic source boundary layer, identifying high vegetation and temperature intersection areas to form a risk structure, extracting manifestation areas and overlaying GIS maps to output early warning information. The present invention, by acquiring multi-period remote sensing images covering key epidemic areas and performing regional segmentation and geocoding registration, can identify spatial intersection areas with suitable ecological conditions for pathogen transmission by means of coupled detection of normalized vegetation index and surface temperature, calculate risk index according to block structure distribution and assign risk level labels, thereby achieving accurate positioning and graded evaluation of areas where high-risk ecological environments and historical cases overlap in space, improving spatial prediction accuracy and the intuitiveness of risk prompts, and effectively enhancing the ability to respond in advance to potential outbreak trends of brucellosis.

A system, method, and server for cloud-enabled data processing are provided. The system includes receiving data, pre-processing the data, and a server including a data acquisition module for receiving the data, a data ingestion module for ingesting and pre-filtering the data, transferring the pre-processed input data to edge computing units, an extraction module for performing geocoding and enrichment on the pre-processed input data to extract multidimensional landscape features including georeferenced data, an ML pre-processing module for applying one or more supervised or unsupervised ML algorithms to analyze the georeferenced data to detect anomalies and potential threats, data archiving storage for storing data and the multidimensional landscape features according to lifecycle management rules, a data indexing and cataloguing module for integrating with data catalog services to create metadata for the archived data stored in the data archiving storage, a prioritized data transmission module for transmitting prioritized data to end users.

The invention discloses a railway external environment hidden danger dynamic screening method based on an unmanned aerial vehicle video, and the method comprises the steps: building a railway geographic grid based on a route, cutting a video frame image, achieving the discretization of a video image space in a railway direction, and reducing the image distortion; then, performing image matching on the unmanned aerial vehicle video and the reference image by adopting a GNN method based on large-kernel 3D convolution, and realizing geocoding and mileage positioning of the unmanned aerial vehicle video; and finally, performing multi-temporal change detection on the image with the geographic coordinates to realize automatic troubleshooting of hidden dangers and geographic information statistics. According to the method, geographic coding processing is carried out on the unmanned aerial vehicle video data, the incidence relation between any pixel of the video frame and the railway mileage is established, geographic coordinate positioning of the pixels of the unmanned aerial vehicle video frame is achieved, and a high-precision and high-frequency data source is provided for railway external environment remote sensing quantitative dynamic monitoring; and the universal application of the unmanned aerial vehicle video in railway external environment safety monitoring is expanded.

The invention discloses an intelligent vehicle searching system and method without a high-precision map based on multi-modal perception, and relates to the field of intelligent traffic and computer vision, and the system comprises a data acquisition module, an index construction module, a positioning verification module, a sequence recording module and a matching navigation module. According to the method, on the basis of feature point cloud construction and lightweight semantic recognition of ORB-SLAM3, instant modeling of the local environment of the parking lot is realized, and the system construction and maintenance cost is remarkably reduced. Multi-sensor fusion is adopted to form a three-layer positioning verification system, a conflict resolution mechanism is set, and supplementary visual angle acquisition is triggered through secondary identification, so that the positioning precision is improved, and the problems of insufficient precision and error accumulation of a single sensor are effectively solved. The visual semantic feature sequence from the parking space to the exit is automatically recorded after parking is completed, reverse indexing and matching are carried out in the vehicle searching stage, the visual navigation path is generated in combination with AR and voice prompt, and user-level high-robustness vehicle searching experience can be achieved without a coordinate map.

This application discloses a method, apparatus, equipment, and medium for automatically dispatching power connection application work orders, belonging to the field of power business data processing. The method involves: sequentially performing structured parsing and geocoding on the application address text to obtain several candidate geographical coordinates; spatially matching each candidate geographical coordinate with a preset power supply grid boundary library to obtain the corresponding power supply unit code and boundary distance; calculating the confidence level of each candidate geographical coordinate using a preset scoring function, and then filtering based on the confidence level to obtain the target power supply unit code, its target confidence level, and target boundary distance; when the target boundary distance is not lower than a preset boundary threshold and the target confidence level is not lower than a preset confidence threshold, the work order is dispatched to the target power supply unit. Therefore, by implementing this application, the problem of low address accuracy in the automatic dispatch of power connection application work orders in the prior art can be solved.

This invention belongs to the field of synthetic aperture radar interferometry and discloses a method for elevation inversion of the Hongtu-1 distributed wheel formation InSAR satellite, which can effectively improve the elevation inversion accuracy of digital elevation models (DEMs) for complex terrain. The method first establishes an equivalent phase center, simplifying the original bistatic imaging geometric model of the auxiliary satellite into a self-transmitting and self-receiving single-baseline multi-pass InSAR geometric model. Then, based on the single-baseline multi-pass InSAR geometric model, primary and secondary images are registered, generating three primary and secondary image pairs interferograms with different baseline lengths. These are then combined with parameters such as orbital information for terrain de-flattening phase processing. The de-flattened interferograms undergo multi-baseline phase unwrapping to recover the absolute terrain phase. Finally, the unwrapped phase is converted into the target scene elevation, and after geocoding, a DEM of the target area is generated.

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with interactions at locations. Each semantic tag can include information associated with one of the locations. Further, each semantic tag can be descriptive of features associated with the respective location. The location data and the plurality of semantic tags that satisfy suitability criteria can be identified. The suitability criteria can be associated with the suitability of each location for use by a geographic context application. A suitable location can be determined based on the location data and the semantic tags that satisfy the suitability criteria. Furthermore, the indications including a description of the suitable location can be generated based on the features associated with the suitable location.

The present application relates to a kind of solid waste traceability analysis methods based on knowledge graph, the method is by collecting and fusing structured flow document, GPS track, RFID signal, video monitoring and multi-modal data such as environmental sensor, complete space-time collection, denoising standardization, uniform alignment and geocoding, construct node level confidence probability model;And utilize multi-modal signal collaborative correction abnormal node state, the result after correction dynamic update solid waste flow knowledge graph, realize the global traceability of abnormal path and business decision feedback, combined with continuous model iteration and knowledge closed loop optimization, effectively improve the discrimination accuracy of solid waste flow abnormal traceability.

The invention relates to the technical field of engineering document management, in particular to a geographic information engineering document automatic retrieval and display method and related equipment, which have the following core functions: extracting three elements of engineering codes, names and geographic positions by a regular expression; calling a geocoding service to obtain accurate longitude and latitude; an interactive map is generated, engineering codes and names are matched according to longitude and latitude, and detail checking through clicking is supported; and finally outputting a visual map file containing project distribution, and storing the visual map file in an HTML format. The whole process realizes full-automatic processing, and the engineering information management efficiency is effectively improved. The scheme is suitable for engineering file management, regional planning analysis and other scenes, supports self-definition of map styles and marking styles, and meets diversified visualization requirements.

The invention relates to the technical field of urban management, in particular to an application method and system of an AI-based intelligent identification and early warning method in urban and rural management. Comprising the following steps that a high-low altitude heterogeneous sensing network is constructed, a space-time synchronous sensing matrix is formed through a multi-spectral imaging module carried by an unmanned aerial vehicle and a ground video monitoring array, and the ground video monitoring array is deployed at an iron tower high-position monitoring point and is integrated with an air quality sensor; establishing a multi-modal data alignment channel, applying spatial geocoding to the aerial image data of the unmanned aerial vehicle, and generating a time synchronization data stream having the same geographic coordinate system as the ground monitoring video frame; and performing three-level feature fusion analysis: performing registration superposition on visible light and infrared spectrum data in a pixel-level fusion layer, thereby fundamentally solving the problem of space-time alignment of multi-source heterogeneous data, and ensuring seamless fusion of high-altitude and low-altitude sensing data in a complex environment.

The embodiment of the invention discloses a map grid region merging method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: determining a boundary feature point set of each to-be-merged grid region in original map data; for each to-be-merged grid region, coding each boundary feature point in the boundary feature point set corresponding to the to-be-merged grid region based on an HEX coding optimization GeoHash algorithm, and generating a boundary point geocoding set; inputting the boundary point geocoding set corresponding to each to-be-merged grid region into a pre-trained grid merging decision model, and obtaining a target grid merging strategy output by the grid merging decision model; and on the basis of the target grid merging strategy, performing a merging operation on each to-be-merged grid region. According to the scheme, the grid regions with irregular shapes can be effectively merged, the shapes of the merged grid regions can be kept, and the intelligent level and decision-making efficiency of grid region merging are also improved.

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with locations including the location of a carrier and the location of a passenger. The semantic tags can include information associated with features of the locations. The location data and the semantic tags that satisfy meeting criteria can be identified. The meeting criteria can be associated with a suitability of a location for the carrier and the passenger. A meeting location for the carrier and the passenger can be determined based on the location data and the semantic tags that satisfy the meeting criteria. Furthermore, indications associated with the meeting location can be generated based on the features of the meeting location.