37 results about "Coverage Type" patented technology

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention provides an adaptive road horizon tracking method and system based on multi-modal feature fusion, and the method comprises the steps: S1, obtaining an original B-scan data matrix, carrying out the standardization and preprocessing, constructing an instantaneous phase cosine matrix, and building a feature matrix; s2, setting a horizon search window in the depth direction, converting horizon tracking into optimal path search by constructing a polarity constrained graph model, and solving an optimal path as a candidate horizon line of the horizon search window; s3, setting a horizon verification window in the depth direction, performing physical rationality test on the candidate horizon lines, and meanwhile, eliminating pseudo horizon which does not conform to engineering technical parameters by adopting a dual-threshold filtering strategy; and S4, arranging the layer line information passing verification, and outputting a layer detail table. According to the method, random noise can be effectively suppressed, horizon sensitive features can be effectively enhanced, the technical effects of reducing the horizon fracture misjudgment rate and improving the recognition accuracy are achieved, and full-coverage type adaptive road horizon tracking is achieved.

The invention provides a coastal zone land coverage type classification method based on a random forest and a topology rule, and belongs to the technical field of coastal zone land coverage type classification. The method comprises the following steps: based on a GEE cloud platform, integrating a multispectral remote sensing image and elevation data, extracting spectral features and geographic features, and realizing pixel-level classification of random forest machine learning; generating a clustering unit through a simple non-iterative clustering method, and performing object-oriented special classification on the water body and the aquaculture pond in combination with spectral and morphological characteristics of the clustering unit; spatial filtering is introduced to remove salt and pepper noise, a coastal zone ground feature topology rule base is established to carry out spatial logic verification, and coastal zone land coverage classification with high precision and reasonable spatial layout is realized. According to the method, the multi-source remote sensing data and the multi-level classification strategy are fused, the problems of coastal zone ground feature spectrum confusion, boundary fuzziness and space logic inconformity are effectively solved, the classification precision and practicability are remarkably improved, and the method is suitable for land coverage monitoring and management of the complex coastal zone environment.

The application provides a neighbor cell determination method, device, equipment and storage medium. The method comprises the following steps: acquiring azimuth angles, scenes, frequency bands and coverage types of multiple sectors in a preset area; adjusting initial distances between the sectors according to the azimuth angles, scenes, frequency bands and coverage types of the sectors, to obtain adjusted distances between the sectors; the initial distance is a distance between base stations to which the sectors belong; and target neighbor cells corresponding to the sectors are determined according to the adjusted distances between the sectors. The method of the application can accurately determine the target neighbor cells corresponding to the sectors.

Computer-implemented methods, mobile computing devices, and tangible, non-transitory computer-readable media storing instructions for creating one or more new insurance policy quotes for a customer associated with a customer vehicle may be described. The computer-implemented methods may include tracking, by a mobile computing device in conjunction with one or more sensors, a particular type of usage data of a customer vehicle based on a coverage type, of a plurality of coverage types, for the customer vehicle, wherein a first type of usage data is tracked for a first coverage type and a second type of usage data is tracked for a second coverage type, the first type of usage data being distinct from the second type of usage data; and transmitting, by the mobile computing device to a computing device, the particular type of usage data.

The invention discloses a multi-box networking Bluetooth continuous coverage type electrocardiogram data acquisition system and an acquisition method. The core problems that in a large-area, long-time-interval and batch monitoring scene, Bluetooth coverage is discontinuous, multi-device cooperative expansion flexibility is poor, Type-C interface charging and data reading functions are mutually exclusive, and mobile scene data transmission is prone to being interrupted and lost in an existing electrocardiogram collection technology are solved. According to the invention, an integrated portable acquisition box is used as a core networking node, a centerless Bluetooth Mesh ad hoc network is constructed, multi-port Type-C parallel double-path shunting hardware is designed, a hardware-driven pre-synchronization post-switching seamless roaming mechanism is adopted, and a corresponding acquisition management method is matched. On-demand expansion of a monitoring coverage range, parallel cooperation of multi-terminal batch charging and off-line data reading and uninterrupted low-delay transmission of mobile scene electrocardiogram data are achieved, the system integration degree is high, deployment is convenient and fast, and operation is stable and reliable.

The present invention discloses a method for acquiring vegetation area data using a navigation satellite dual-base InSAR (InSAR) based on multi-factor optimization. The present invention first selects experimental scenarios based on the type of surface vegetation coverage; then calculates radar observation indicators to determine the available experimental points in each scenario; then, by analyzing the seasonal vegetation normalized index of the experimental scenario, the duration of the experiment is determined; finally, based on a multi-objective joint optimization algorithm, the data collection time and satellite combination of each experimental point are designed to obtain the final data collection experimental design scheme. The present invention comprehensively considers factors such as vegetation coverage type, radar observation indicators, and experimental time duration to ultimately determine the data collection experimental design scheme for vegetation scenario research. Data is then collected based on this data and a data set is established for subsequent signal processing and phase analysis, providing a feasible method for accumulating raw data for navigation satellite dual-base InSAR vegetation scenario research.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a default value for a radio parameter used for communicating with a network node based at least in part on whether the network node is a terrestrial network (TN) node or a non-terrestrial network (NTN) node, an orbit type associated with the network node, or a coverage type associated with the network node. The UE may transmit a communication, e.g., to the network node based at least in part on the default value for the radio parameter. Numerous other aspects are described.

The invention discloses a land coverage classification method based on Sentinel-2AB time sequence data, and relates to the technical field of land coverage type classification, and the method comprises the steps: selecting a target research region; analyzing normalized difference vegetation index time sequence features of typical ground features in the target research area; analyzing humidity component time sequence characteristics of tasseled cap changes of typical ground features in the target research area; selecting an optimal time sequence feature; and land coverage classification is carried out by adopting a support vector machine method and a maximum likelihood method. According to the method, the ground feature samples can be accurately selected and supervised and classified, the classification result is good, and the macroscopic requirement of land cover classification can be completely met.

The invention relates to an unmanned sweeper covering type sweeping operation method and system and a medium, and the method comprises the steps: M1, collecting the boundary of a to-be-swept area through a handheld positioning data collection device, importing the boundary into a cloud end, and enabling the precision of positioning data to reach the centimeter level; m2, a cloud global planning algorithm module reads vehicle end parameters and plans a coverage type global path through an algorithm in combination with region boundary information; and M3, the vehicle end local planning algorithm module receives the global path, intercepts the global path as a local planning path according to the current positioning, carries out longitudinal planning, generates a complete planning track, and issues the complete planning track to the control module. According to the method, the problems that an unmanned sweeping vehicle is difficult to realize coverage type sweeping operation and cannot adapt to a complex and changeable urban environment, and a traditional coverage type planning algorithm is long in time consumption are solved, and mutually restricted optimization dimensions such as obstacle avoidance, sweeping blind area elimination and operation efficiency improvement can be processed at the same time.

The utility model discloses an omnibearing coverage type patrol navigation camera device based on switch cabinet equipment, and the device comprises a horizontal displacement assembly structure which is provided with at least two horizontal plane displacement kinetic energy output ends; the driving rotary table structure, the base part and one horizontal plane displacement kinetic energy output end part of the horizontal displacement assembly structure are in transmission connection, and the driving rotary table structure is provided with a rotating kinetic energy output end part; the base part is in transmission connection with the driving rotary table structure, and the vertical displacement structure is provided with a vertical displacement kinetic energy output end part; and the patrol camera structure is arranged at the vertical displacement kinetic energy output end part of the vertical displacement structure and the other horizontal plane displacement kinetic energy output end part of the horizontal displacement assembly structure in a transmission manner. The device can effectively realize the automatic omnibearing inspection of the switch cabinet equipment, and remarkably improves the overall function practicability.

The invention discloses a radar jigsaw and map superposition display method and system, and relates to the technical field of meteorological radar jigsaw, and the method comprises the steps: carrying out the information extraction of a radar jigsaw sequence of meteorological data, and obtaining a pure radar thematic map sequence and a preliminary base map sequence; performing pixel-by-pixel combination on all the preliminary base maps in the preliminary base map sequence to obtain a complete base map; extracting coverage type elements in the radar jigsaw sequence based on color filtering, and generating a coverage layer; calculating a difference matrix of the radar jigsaw sequence and the complete base map based on a matrix difference method, and generating a binary mask map sequence based on the difference matrix; generating a refined radar map based on the binary mask map sequence and the pure radar thematic map sequence; performing coverage area correction on the refined radar map based on the coverage map layer to obtain a corrected radar map; and performing geographic coordinate registration on the corrected radar map, and superposing the corrected radar map on a target map. According to the invention, the technical problems of low efficiency and insufficient precision in the prior art are solved.

The invention provides a cross-country path planning method and system, and the method comprises the steps: firstly, obtaining remote sensing image data and a digital elevation model of a cross-country environment; then, slope information and impassable areas of the off-road environment are determined according to the digital elevation model; secondly, land coverage type information is determined according to the remote sensing image data; furthermore, according to the gradient information, the impassable area, the land coverage type information and the digital elevation model, a cross-country environment grid map is constructed. And finally, according to the cross-country environment grid map, the preset starting point and the preset end point, path planning is carried out through an improved A star algorithm, and a path planning result of the cross-country environment is determined. According to the method, the influence of the gradient and the land coverage type on the vehicle passing speed is integrated, cross-country path planning with the shortest passing time is provided, the driving safety of the vehicle in the field environment can be guaranteed, the turning points of the path can be reduced, the path passing time is shortened, and therefore the vehicle passing efficiency is improved.

1. Name of the product in this design: Disposable laryngeal lens (full cover type). 2. Purpose of this design: To be used in conjunction with a video laryngoscope for laryngeal examination. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The invention provides an active early warning method for FOD reverse recognition in a flight state of an aircraft, and the method comprises the steps: comparing detection data with an FOD expected flight path based on various detection devices and display devices of the aircraft according to reference data, non-FOD feature data and the expected flight path of the aircraft built in the aircraft, reversely eliminating non-FOD objects, and carrying out the early warning of the FOD reverse recognition in the flight state of the aircraft. And through superposition of visual data on the aircraft and display data, a suspected FOD object of a real visual scene is marked, and final confirmation is completed through manual processing or data analysis. According to the method, more reliable FOD identification processing logic is provided for the take-off and approach stages of the aircraft, the detection accuracy, the detection coverage range and the detection coverage type are improved to the maximum extent by reversely identifying the processing logic of the FOD according to various existing detection capabilities and processing capabilities of the aircraft, the implementation cost can be low, and the method is suitable for popularization and application. And the flight safety of the aircraft in the take-off and approach stages is effectively improved.

The invention belongs to the technical field of intrusion detection, and particularly discloses a plane monitoring method and system for border protection and a program product, and the method comprises the steps: carrying out the abnormal signal segment interception and intrusion detection analysis through the sound wave monitoring signals of each path of optical fiber laid in a sampling plane, so as to determine the intrusion point corresponding to each path of optical fiber line; then, when it is judged that the same-area intrusion points exist on the multiple optical fiber lines, intrusion alarm is carried out based on the position parameters and the sampling time of the same-area intrusion points, so that efficient and accurate border plane intrusion monitoring is achieved. Through plane distributed optical fiber monitoring signal acquisition and intelligent signal processing analysis, long-distance, low-delay and continuous coverage type border intrusion protection monitoring can be realized, rapid and accurate border intrusion early warning is carried out, the situations of missing report and false report are reduced, and the reliability of border plane intrusion monitoring is improved.

The invention discloses an SAR radiation cross calibration method, device and equipment based on building area feature weight distribution and a storage medium, and relates to the technical field of remote sensing, and the method comprises the steps: carrying out the mask extraction of a target reference SAR image and a target to-be-calibrated SAR image based on a land coverage type product, and obtaining a target to-be-calibrated SAR image; obtaining a target reference building area pixel and a target to-be-calibrated building area pixel; performing data clustering on the target reference building area pixel and the target to-be-calibrated building area pixel through a target clustering algorithm to obtain a reference area set and a to-be-calibrated area set; performing feature calculation based on weight distribution on the reference region set and the to-be-calibrated region set to obtain reference stable features and to-be-calibrated stable features; and performing radiation correction on the target to-be-calibrated SAR image based on the reference stability feature and the to-be-calibrated stability feature to obtain a target calibrated SAR image. Radiation correction is carried out on the SAR image through a target clustering algorithm and weighted feature calculation, and the accuracy of radiation correction is improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a default value for a radio parameter used for communicating with a network node based at least in part on whether the network node is a terrestrial network (TN) node or a non-terrestrial network (NTN) node, an orbit type associated with the network node, or a coverage type associated with the network node. The UE may transmit a communication, e.g., to the network node based at least in part on the default value for the radio parameter. Numerous other aspects are described.

Computer-implemented methods, mobile computing devices, and tangible, non-transitory computer-readable media storing instructions for creating one or more new insurance policy quotes for a customer associated with a customer vehicle may be described. The computer-implemented methods may include tracking, in conjunction with one or more sensors, a particular type of usage data of the customer vehicle based on a coverage type, of a plurality of coverage types, for the customer vehicle; transmitting, to a computing device, the particular type of usage data; receiving, from the computing device, one or more insurance policy quotes corresponding to the coverage type for the customer vehicle; and displaying the one or more insurance policy quotes in a user interface of the mobile computing device.

The invention relates to the technical field of mattresses, and discloses a magnet fixing device of a magnetic line full-covering type magnetic therapy mattress, which comprises a mattress shell, a flexible layer and a support layer are arranged in the mattress shell, and a plurality of adjusting units are arranged between the support layer and the flexible layer in a matrix manner; the multiple lifting air bags located in the same row communicate with the same air source, and row-by-row linkage control over the adjusting units is achieved. When an air source inflates the lifting air bags in the same row synchronously, the lifting air bags in the guide pipes expand synchronously to push the lower magnet parts, the upper magnet parts and the telescopic rods to ascend synchronously, so that the multiple bearing pieces corresponding to the row jack the flexible layer together, and a continuous linear protruding structure is formed on the surface of the mattress. The protruding structure can be designed according to human engineering, and a supporting curved surface is formed on the cervical vertebra portion to support the cervical vertebra of the human body and maintain the physiological curvature of the cervical vertebra.

The invention provides an uncontrolled photogrammetric high and steep slope deformation monitoring method, which belongs to the technical field of geological engineering monitoring and photogrammetric crossing, and comprises the following steps: obtaining a general model; planning and measuring close to a photogrammetry route; gNSS-assisted unmanned aerial vehicle image block adjustment is carried out; performing multi-temporal multi-angle unmanned aerial vehicle image measurement; calculating ground coordinates of the feature points; performing multi-factor adaptive base point screening; performing error correction on the coordinate difference value of the known feature point; kriging interpolation is carried out on the corrected coordinate difference value, a triangulation network is constructed, and a measurement area deformation field is obtained. According to the method, base point to-be-selected areas are screened by combining multi-temporal feature point three-dimensional coordinate difference analysis and clustering stability score, and RTK positioning errors and terrain interference are stripped; the terrain gradient, the crack distance and the land cover type weight are dynamically fused through a multi-factor screening model, high-confidence-coefficient base points are automatically screened, ground control points do not need to be arranged, and the monitoring cost and the safety risk are reduced; and the deformation monitoring precision is effectively improved.

The invention discloses a building equipment monitoring method, a monitoring system, a medium and a product, and relates to the field of building equipment monitoring. The monitoring system divides the building space into a plurality of monitoring areas, determines the coverage area type of each monitoring area according to the number of fixed monitoring devices in each monitoring area, and calculates the data timeliness score of each monitoring area according to the sampling timestamp of each monitoring area. And the monitoring system determines the inspection monitoring state of each monitoring area according to the coverage area type and the data timeliness score of the monitoring area, performs key inspection on key areas (including inspection of building equipment and inspection of fixed monitoring equipment), and performs data fusion on conventional areas, so that monitoring resources are reasonably distributed. The layered and hierarchical monitoring strategy avoids the waste of human resources, improves the monitoring efficiency, and ensures the timeliness and accuracy of the data at the same time.

The invention discloses an analysis method for generating radar detection power based on target track big data, and relates to the technical field of radar detection. According to the method, firstly, comprehensive and accurate evaluation of radar detection performance is realized by using historical target track big data and radar original detection trace point data, and the problem of deviation between a traditional theoretical model and an actual environment is solved; secondly, in combination with a digital elevation model and earth surface coverage type data, complex environmental factors such as terrain shielding and a multi-path effect are considered, and the reliability and applicability of an evaluation result are improved; furthermore, a binomial distribution statistical model and a Bayesian estimation method are adopted, so that the calculation accuracy of the detection probability and the measurement precision is improved; a visual display function is realized, and a generated radar detection power coverage map and a generated precision distribution map provide visual support for optimized deployment of a radar system; through model verification and iteration steps based on K-S test, continuous optimization and adaptability of the model are ensured.

The invention relates to the technical field of communication, and provides a network quit evaluation method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining network basic data of an evaluation region; the network basic data comprises cell basic information, a capacity index and a coverage index; constructing an evaluation factor based on the network basic data; the evaluation factors comprise a capacity factor, a coverage factor and an evolution factor; and evaluating the network quit type of each cell in the evaluation area according to the evaluation factor. By constructing the evaluation factors, the multi-factor automatic network exit evaluation of each cell in the evaluation area is realized, the labor investment is reduced, and the evaluation efficiency and the comprehensiveness of coverage evaluation are improved.

The invention discloses a DS-InSAR homogeneous pixel selection method considering topographic and geomorphic features. The method comprises the following steps: preprocessing SAR image data; extracting the gradient, the slope direction and the ground object coverage type of the target area based on the external DEM data; the SAR image data and the landform feature data are ensured to be in the same coordinate system; carrying out the recognition and selection of homogeneous pixels in combination with the gradient, slope direction and ground feature coverage type topographic and geomorphic feature data; optimizing the selection process of homogeneous pixels through a hard threshold selection algorithm and a soft threshold selection algorithm; calculating and analyzing the selection precision of homogeneous pixels; and resolving the deformation rate of the target area by using the point selection result of the homogeneous pixels and combining a DS-InSAR data processing flow. According to the method, the uniformity and accuracy of DS-InSAR homogeneous pixel selection are improved, scattering variation pixels caused by landform features are effectively eliminated, and the precision of deformation rate calculation is improved.

The invention relates to the technical field of ecological environment monitoring, in particular to an ecological environment monitoring device based on remote sensing images, which comprises a data acquisition and preprocessing module used for acquiring current and historical remote sensing images and meteorological data of a target area and constructing a time sequence data set; the land coverage identification module is used for identifying the land coverage type of the target area; the reference area selection module is used for delimiting a reference area in a preset range; the meteorological-spectral mapping model building module is used for building a mapping function from meteorological data to spectral reflection characteristics; the spectrum anomaly detection and region correction module is used for comparing the difference between the actual spectrum and the expected spectrum output by the model, and performing boundary cutting correction on an abnormal region to obtain a new target region after meteorological influence correction; and the ecological parameter inversion and output module is used for performing inversion and mapping of the ecological parameters. The adaptive capacity to different weather conditions can be improved, and the accuracy of a monitoring result is enhanced.

The application relates to the technical field of atmospheric parameter inversion model, and provides a method and system for constructing an atmospheric model based on virtual temperature correction, which solves the problem of insufficient adaptability of a dynamic scene. The application obtains a radiation brightness observation value of a satellite thermal infrared band, synchronously records a satellite observation zenith angle and an azimuth angle, and collects surface coverage type data, a dew point temperature and corresponding height information. Upward and downward radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a surface coverage type is combined to construct a specific radiation rate mapping relationship, and a surface specific radiation rate spatial distribution is inverted. Vertical layered atmospheric data are generated based on the dew point temperature and the height, and a radiation transmission path correction parameter is constructed in combination with the observation angle. Finally, an atmospheric radiation transmission model is established, and a continuous spatialized virtual temperature field is output. The application solves the problem of insufficient adaptability of a dynamic scene in the prior art, and realizes high-precision inversion of a virtual temperature vertical profile of the atmosphere.

The application discloses a high-resolution remote sensing image land cover classification method, which aims to assign a ground object category to each pixel in a high-resolution remote sensing image. Since traditional methods are difficult to fully extract the features of complex ground objects, the classification accuracy is not high in complex scenes. In high-resolution remote sensing images, the land cover types are more dependent on the semantic information of ground objects, and the judgment ability of features is higher. The application considers that the attention mechanism will cause loss to the local features extracted by CNN, and proposes a network model of CNN coupled with Transformer to fuse the features of two branches. The CNN branch extracts local detail information of the image, and the Transformer branch extracts global information to enhance the features of the region of interest of the local image block. In order to reduce the feature loss during feature fusion, a local-global improved context linear attention feature fusion module is proposed to complete the feature fusion of the two branches, greatly improving the segmentation effect, and realizing high-precision land cover classification of remote sensing images.

The present invention discloses a method and device for assessing geographic information risk sensitivity in internet social media. The method comprises: collecting original published content including textual descriptions of geographic information and user comment data from internet social media, and preprocessing the data; extracting information from the conversational data using natural language processing technology: geographic subject, geographic location information, sensitive regional coverage type, sensitive application type, and timeliness; merging the geographic location information and sensitive regional coverage type belonging to the same geographic subject in the extracted information; performing a confidentiality quantitative assessment for each geographic subject based on the dimensions of sensitive application type, sensitive regional coverage type, geographic location, and timeliness; and calculating a quantitative risk sensitivity result for each geographic subject in the conversational data based on the confidentiality quantitative assessment value of each dimension and its risk impact weight. The present invention is capable of identifying and determining geographic information security risks involved in internet social media information.