70 results about "Geocoding" patented technology

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 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 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.

The present invention provides a method for selecting a homogeneous pixel filtering window in a farmland area, comprising Q1: time-series SAR image geocoding; Q2: stable scattering area selection; Q3: filtering window size calculation. The present invention selects a reasonable filtering window method when performing homogeneous pixel filtering in a farmland area, has a certain improvement effect on the decoherence phenomenon caused by seasonal changes in farmland, can better improve the signal-to-noise ratio of homogeneous pixels, and ultimately improves the accuracy of deformation solution; the method is universal, and can be used to estimate a reasonable filtering window size in any area with a large number of farmlands and using any SAR image. The present invention is simple and easy to understand in operation, can calculate a reasonable homogeneous pixel filtering window size, and reduces the technical threshold of data processing.

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.

The present invention discloses a method for determining deformation anomaly and estimating deformation value of an isolated offshore wind power tower group, including: selecting a wind tower in the wind power tower group to mark the initial reference position, marking the installation position of the corner reflectors of the remaining wind towers, and installing the corner reflectors at the marked positions; performing radiation calibration, focusing, SAR image registration based on isolated points and geocoding according to the SAR image data acquired by the satellite for the corner reflectors; calculating the temporal phase change of a single wind tower relative to the wind power tower group using a deformation anomaly perception algorithm according to the SAR image data, and determining the distribution of wind towers with abnormal deformation; calculating the phase gradient characteristics of a single wind tower and the phase difference characteristics of the current wind tower relative to adjacent wind towers and the wind power tower group using a deformation variable estimation method, and determining the cumulative deformation of each abnormally deformed wind tower. Through the technical solution of the present invention, high-frequency and large-scale monitoring of wind power tower groups is achieved with high accuracy and low equipment deployment and maintenance costs.

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.