349 results about "Thematic map" patented technology

The invention provides a three-dimensional digital earth-space data organizing and rendering method based on a quad-tree index, which belongs to the technical fields of cartography, geography information systems and virtual reality. The method comprises the following steps of: unifying common spatial data formats under multi-scale and multi-projection conversion, multispectral, multi-temporal and high-resolution remote sensing satellite images and aerial images as well as digital thematic maps with different scales into same coordinate system, carrying out operation on the attribute of each element and the parameter regulation of quad-tree tiles, outputting in the form of the quad-tree tiles, carrying out quad-tree cutting on three-dimensional landscape map data, leading spatial data into a relevant database, and carrying out unified management. By using the method, common vector data, raster data, altitude data and three-dimensional map data are organically integrated and issued into a three-dimensional digital earth prototype, thereby shortening the time of data preprocessing, improving the execution efficiency and providing a new integration method for three-dimensional digital earth fundamental geographic data dissemination.

An image processing system and / or method obtains source images in which a damaged vehicle is represented, and performs image processing techniques to determine, predict, estimate, and / or detect damage that has occurred at various locations on the vehicle. The image processing techniques may include generating a composite image of the damaged vehicle, aligning and / or isolating the image, applying convolutional neural network techniques to the image to generate damage parameter values, where each value corresponds to damage in a particular location of vehicle, and / or other techniques. Based on the damage values, the image processing system / method generates and displays a heat map for the vehicle, where each color and / or color gradation corresponds to respective damage at a respective location on the vehicle. The heat map may be manipulatable by the user, and may include user controls for displaying additional information corresponding to the damage at a particular location on the vehicle.

A method and system for identifying a trend in data of heat maps. An initial set of comparison heat maps included in the repository is determined and displayed based on how closely initial comparison area(s) of each comparison heat map match initial target area(s) of a first heat map. A review of the initial set of comparison heat maps determines additional comparison area(s) corresponding to additional target area(s) of the first heat map. In an iterative process, an additional set of comparison heat maps is determined and displayed based on how closely initial and additional comparison areas match respective initial and additional target areas of the first heat map. A trend relating initial and additional target areas is identified based on the displayed additional set of comparison heat maps and based on how closely comparison areas match their respective target areas.

A roaming sensor system collects data on the condition of roads and bridge decks and identifies and maps defects, including cracks, potholes, debonding, tracking, delamination, surface ice, surface water, and rebar corrosion. Data are collected by a vehicle or a fleet of vehicles driven at normal traffic speeds. The vehicle is outfitted with sensors that collect data using acoustic surface waves, ground penetrating radar, mm wave surface radar, and / or video images. The data are transmitted to a control center for analysis and distribution.

The invention discloses a floating car state real-time traffic information processing method based on GPS data, which includes the following steps: 1. GPS point data pre-processing and map pre-processing measures; 2. conduct point matching and select alternative road section sets according to projection distance and azimuth angles; 3. determine correct matching road sections and find out travel routes according to an improved optical route selection method considering topological relation between front and rear points (including a special regional node processing method for urban complicate road network); 4. calculate the route average travel speed, and conduct statistics in a speed formula to generate a road network speed thematic map. The floating car state real-time traffic information processing method based on GPS data of the invention is well applicable the modern complicated urban road network full of overpasses and staggered main and side roads, which can not only meet the speed requirement for large-data-quantity GPS data real-time calculation, but also obtain quite high matching precision.

A fully web-enabled method for diagrammatically representing the meaningful structure of a complex argument or debate, or other similar information, as a schematic map made up of nodes each of which represent a discrete element in said meaningful structure comprising the steps of: (a) Beginning a new map by specifying the broad subject matter and other data about said map and selecting from one of a plurality of sets of encoded information and rules, termed Map Grammars, that constrain how nodes of different types may be combined to form maps and the actions available to persons building, editing or otherwise interacting with such maps. (b) Associating selected information items relevant to said argument or debate, or other information, with map nodes. (c) Adding nodes to said schematic map in such a way as to form an overall structure in which nodes are organized so as to conform to said Map Grammar at all times.

A vulnerability assessment method of water inrush from an aquifer underlying coal seam includes steps of: collecting main control factors determined by geological data of a target area to be assessed; quantifying relevant data against the main control factors to form thematic maps; performing normalization processing against attribute data corresponding to the respective thematic maps; establishing databases of normalized attribute data corresponding to the normalized thematic maps by utilizing GIS; determining a weight of each main control factor based on a constant weight model; determining a variable weight of each main control factor based on a zonation variable weight model; performing composite superimposition on the normalized thematic maps of the respective single main control factors, and newly building a topological relation of the relevant data among the attribute databases for performing multi-factor fitting analysis; and establishing a vulnerability assessment model based on the zonation variable weight model.

System and methods for generating a heat map for a retail location are disclosed. A system includes a user interface of a mobile device associated with a user and a monitoring system. The monitoring system monitors regions of a retail location and determines a plurality of crowd sizes corresponding to each region, each crowd size indicating a number of people present at a specified time. A heat map generation module generates a heat map based on crowd size. A map analysis module determines a shopping route based on a waypoint associated with a product and crowd size. The map analysis module receives a request for the heat map from the mobile computing device. The heat map generation module renders the heat map overlaid with icons and the shopping route. The map analysis module presents the heat map on the user interface.

The present invention discloses a river basin water environment integrated perception and application method based on the Internet of Things and a 3S technology. The method comprises three parts: remote sensing monitoring, Internet-of-Things monitoring and GIS analysis. The remote sensing monitoring is used for extracting, by using a remote sensing technology, an ecological environment factor thematic map coupled to a water body, and rapidly positioning a water environment change target area; the Internet-of-Things monitoring is used for transmitting over an ultra-long distance, by building a wireless sensor network and combining a general packet radio service technology, data monitored by water environment sensors, and storing the data into a database of a server; and the GIS analysis is used for management and analysis of spatial data, and generating a river basin water environment thematic application. According to the method disclosed by the present invention, the water environment condition of the monitored area can be rapidly and accurately determined, the water environment of river basins can be more timely and efficiently perceived in real time, and the level of monitoring and comprehensively treating the water environment of the river basins is improved.

An approach is provided in which a knowledge manager processes an image using a convolutional neural network. The knowledge manager generates a pixel-level heat map of the image that includes multiple decision points corresponding to multiple pixels of the image. The knowledge manager analyzes the pixel-level heat map and detects sets of decision points that correspond to target objects. In turn, the knowledge manager marks regions of the heat map corresponding to the detected sets of per-pixel decision points, each of the regions indicating a location of the target objects.

The invention provides an urban disaster thematic map real-time generating method based on network information. The method comprises the following steps that S1, the urban disaster information is obtained from networks in real time; S2, the urban disaster information is subjected to automatic place name recognition and is then subjected to spatial orientation; S3, the semantic mapping technology based on space time correlation rules is applied, and the urban disaster information subjected to the spatial orientation is subjected to semantic parsing; S4, the urban disaster information subjected to the semantic parsing is subjected to spatial data mining with graphic correlation, and the urban disaster thematic data with graphic spatial correlation is generated; S5, the urban disaster thematic data are subjected to visual representation, and an urban disaster thematic map is generated. The urban disaster thematic map real-time generating method has the advantages that the urban disaster information can be obtained in real time, the obtained urban disaster information is subjected to intelligent mining, the urban disaster thematic map is quickly generated and dynamically issued, and the quick generation and dynamical issuing level of the urban disaster thematic map is improved, and service is provided for urban management and emergency relief.

The invention provides a multi-source data fusion and environmental pollution source and pollutant distribution analysis method. Specifically, the method is mainly composed of data preprocessing, aerosol retrieval, and PM 2.5 inversion; the data preprocessing performs a series of processing on original remote sensing data, outputs data that meets requirements of model operation to be utilized as adata basis of an inversion module, and performs preprocessing operation on the atmospheric remote sensing data used by remote sensing monitoring, and a process of the data preprocessing involves a geometric correction and radiation correction method, a high-precision image registration method, a multi-source satellite data fusion method, cloud removal and shadow processing, and an atmospheric correction link; and the method utilizes GF series data as a main remote sensing data source, combines ground monitoring equipment, develops remote sensing monitoring of particulate matter PM 2.5 and draws a thematic map, and provides remote sensing technology and information support for air quality monitoring and management work of Beijing-Tianjin-Hebei regions.

The invention discloses a template based one-button type thematic map automatic forming method and system, belonging to the field of computer mapping and relating to the computer automated mapping and mapping synthesized technique. According to the method, a basic data support module comprises a spatial database, a model library and a thematic map mapping template library; the specific mapping steps comprises the follows: establishing the spatial database, selecting content information of the thematic map, establishing the template library, selecting a thematic data representing way, establishing the template library, configuring display information of mapping elements, generating a thematic map configuration XML (Extensive Markup Language) text and analyzing the thematic map configuration XML text, and visually outputting the thematic map configuration XML text. According to the technical scheme provided by the invention, the thematic mapping efficiency and the mapping accuracy can be improved, the mapping automation and intelligence level can be improved, the thematic map making process can be speeded up, and the manpower, the material resources and the financial resources can be economized.

The invention relates to a dynamic prediction method of landuse change. The basic idea of GeoCA-Landuse model simulating landuse change can introduce the life character of the land element and simulate the dynamic evolvement of the type of the landuse. Beginning with the superimposition analysis and the transfer analysis of the two phase landuse thematic map, combining with the measurement model of landuse change, analyzing the the landuse change character. According to the model controlling factors of river system and road map analysis, constructing the layer of the controlling factors, determining the reasonable neighbors and transfer rules in light of the historical land-use change process, with the combination of adjusting the model parameters of the social economic data. Setting a powerful spatial data processing of GIS, the land use trend is simulated and predicted. The invention can simulate the dynamic trend of the landuse change and provide a scientific basis for decision-making.

A system (80) for controlling deformations of optical components adapted for use with laser system aperture sharing elements (16) and deformable mirrors. The inventive system (80) includes a control loop (12, 40, 24, 20, 46, 28, 74, 78, 60, 34) for determining a desired temperature pattern. The control loop (12, 40, 24, 46, 28, 74, 78, 60, 34) provides a control signal (45) corresponding to the desired temperature pattern to a heat map applicator (18, 46, 47, 59, 60). The heat map applicator (18, 46, 47, 59, 60) applies the desired temperature pattern to the optical component (16) in response to the control signal and the optical component (16) is selectively deformed in response thereto. In a specific embodiment, the control loop (12, 40, 24, 20, 46, 28, 74, 78, 60, 34) is a closed loop control system that includes an interferometer (74). The interferometer (74) provides a first shape of the optical component (16) to a comparator circuit (20) that compares the first shape to a desired shape corresponding to the desired temperature pattern for determining the control signal. An alternative closed loop control system (12, 40, 24, 20, 46, 28, 74, 78, 60, 34) includes an infrared energy detector (12) that determines a current temperature pattern and generates the control signal in response thereto for converting the current temperature pattern to the desired temperature pattern. The heat map applicator (18, 46, 47, 59, 60) provides an electromagnetic beam (50, 52) that is swept across the optical component (16) to impart the desired temperature pattern on the optical component (16). In another illustrative embodiment, the control loop is an open loop control system that includes a complimentary electromagnetic energy beam that is swept over the optical component to form a heat pattern complimentary to the temperature pattern imparted to the optical component by a high power laser beam such that the total heat deposited on the optical component is uniform.

The invention relates to the technical field of network maps and space information service, in particular to a method for dynamically constructing an online thematic map. The method comprises the following steps of: constructing a sequenced mapping among three sets, namely a statistical index, a visual variable and a map sign by performing online organization and dynamic modeling on heterogeneous distributed statistic index data by a method for drawing a multi-variable map so as to integrate to form a drawing rule set in which a gathering visual variable is used as a core characteristic; and formalizing description language by using extensible markup language (XML) as a network map sign, dynamically constructing a personal thematic map by using a format of a network thematic map service combination, and forming the online thematic map in a logic layer model organization of a map group, a map picture and an illustration, which is detailed step by step. By the method, a map expression acquired by the user comprises dynamic customization expressed in the forms of a map sign, a color and the like, so the humanized requirement of the map user can be fully met; and aiming at users on different levels, the thematic maps meeting the service requirements can be designed, and the effect is remarkable.

The invention relates to a method for carrying out mangrove forest map making on intermediate resolution remote sensing image by utilizing object-oriented classification method, which relates to a method for mangrove forest map making and solves the problems of time and labor waste, bad timeliness and serious neglected and wrong classification of mangrove forest in positioning and map making of mangrove forest map making through conventional means at present. The method comprises the following steps: firstly, carrying out ortho-rectification and geometric exact correction on Landsat TM data so as to obtain Landsat TM images after registration; secondly, carrying out multi-layered multi-dimensioned division on the Landsat TM images after registration, wherein each division unit is used as an object; thirdly, extracting textural and topological characteristics, and calculating normalized vegetation index and ground surface humidity index; fourthly, removing a non-vegetated object so as to obtain a vegetated object; fifthly, extracting a mangrove forest object from the vegetated object; sixthly, exporting the mangrove forest object so as to generate a mangrove forest vector; and seventhly, manufacturing a mangrove forest thematic map. The method disclosed by the invention is used for mangrove forest map making.

The present invention relates to a marsh wetland mapping method based on an object-oriented random forest classification method and a medium-resolution remote sensing image. The purpose of the present invention is to solve the technical problem that a current remote sensing classification method can not accurately extract spatial information of a tussock marsh, a shrub marsh and a forest marsh only by using of spectral information. The marsh wetland mapping method provided by the present invention comprises: carrying out radiometric calibration, atmospheric correction, ortho-rectification, accurate geometric correction and projective conversion by using Landsat-80LI data; processing the data by using eCognition 8.6 software; removing non-marsh wetland objects from marsh wetland objects; setting an index threshold region to separate the tussock marsh, the shrub marsh and the forest marsh; and then mapping a thematic marsh wetland map in ArcGIS 10.0 software. The marsh wetland mapping method provided by the present invention is high in accuracy. The marsh wetland mapping method provided by the present invention is applied to marsh wetland mapping.

The invention discloses a meteorological service performance evaluation method based on a geographical information system (GIS), which is used for carrying out meteorological service performance analysis and evaluation by comprehensively utilizing a neural network method, an analytic hierarchy process, a structural equation method, a gray system method and a statistical analysis technique through using corresponding social statistics and survey data. The method is used for carrying out uniform control and management on hydrologic information, humanity information and meteorological information in a researched region by using a cartographic database and remote sensing data as basis geospatial data through using population data, casualty loss data and geographical hydrologic thematic data based on a GIS technology and a database technology by adopting a design mode of centralized management and maintenance. The invention realizes graphic and feature integrated maintenance management, comprehensive query, space analysis, thematic map, simulation analysis and meteorological service evaluation functions, improves the informatization level and the aid decision making capability of the meteorological service evaluation, and provides aid decision basis for the geographical hydrologic management and the meteorological service performance evaluation.

The invention discloses a polarized SAR (Synthetic Aperture Radar) image semi-supervised classification method capable of considering characteristic optimization. The method comprises the following steps: firstly, adopting a refined polarized LEE filtering method to carry out filtering, extracting polarization characteristics, carrying out combination to obtain an original characteristic set, and carrying out normalization processing; selecting an initial training sample set and a no-label set, and carrying out characteristic selection and classifier parameter optimization through a hybrid coding genetic algorithm under the initial training sample set; reconstructing the training sample set and a no-label sample set; training the classifier, and selecting a candidate set from the no-label sample set; utilizing a trained SVM (Support Vector Machine) classifier to label the candidate set, and selecting and expanding sample points with a high confidence coefficient into the training sample set; repeating the training of the classifier until learning is finished; and classifying the whole image by a finally trained SVM to obtain a classification thematic map. By use of the classification method, on one hand, effective characteristics can be adaptively extracted to improve a semi-supervised classification effect; and on the other hand, the efficiency of self-training learning can be improved, and error accumulation can be effectively avoided.

Disclosed is a spatial gravity model based fuzzy c-means remote sensing image automatic classification method which is suitable for automatic segmentation and classification of remote sensing images, medical images and other image. The spatial gravity model based fuzzy c-means remote sensing image automatic classification method comprises the steps of determining the number of pixels of a remote sensing digital image and performing clustering on the image through a standard FCM (Fuzzy C-Means) model to obtain an initial fuzzy membership matrix and clustering center; solving the spatial gravity and spatial constraint penalty factors between every pixel and other pixels in neighborhood windows of the pixel in turn to obtain a fuzzy factor as the formula finally; adding the fuzzy factor as the formula to the standard FCM model to obtain a new clustering objective function; solving the fuzzy matrix as the formula and the clustering center as the formula in a circulating mode until the clustering center does not continue to be changed any longer or the operation reaches the maximum number of iterations; performing class marking on every pixel point of the remote sensing image through the maximum membership matrix criterion according to the finally solved fuzzy membership matrix as the formula to determine the class of every pixel to form a remote sensing image classification thematic map so as to implement the automatic classification of remote sensing digital images. The spatial gravity model based fuzzy c-means remote sensing image automatic classification method is simple, high in automation degree, small affected by image noise and high in image segmentation classification accuracy.

The invention discloses a mass lightning data space-time analysis method based on a geographical information system (GIS). The method comprises the following steps of: 1, constructing and maintaining a lightning space database by combining a GIS technology and researching a data quality control method for a lightning information source, and establishing a lightning real-time positioning and monitoring system for acquiring an information source of lightning generation; and displaying a positioning distribution of lightning in real time in the form of a space element and forecasting the latest tendency of the lightning; 2, counting and analyzing the historic lightning data by an interaction method, namely methods for analyzing spaces of any shapes, analyzing the lightning density, analyzing a thematic map and the like so as to form a weather product; and finally, issuing and sharing the lightning information through a share network so as to analyze the product, and realizing the basic target of a lightning service by the lightning data space analysis method.

The invention provides a method for predicting and analyzing pipe burst of an urban water supply network. The method comprises the following steps: establishing a pipe burst database of the urban water supply network in a geographic information system; selecting and setting the parameters stored in the pipe burst database of the urban water supply network so as to obtain the set parameters; according to the set parameters, calling a dynamic data analysis software link database to establish a prediction model for pipe bursts under a secondary development and obtaining the predicted outcome of each pipe by means of the pipe burst prediction model; grading the predicted outcomes and setting attributions of pipe burst risks; according to different attributes of pipe burst risks, giving the pipes different colors by adopting value classification and difference displaying modes to establish a district thematic map for pipe burst risks. By using the method, a visualized display effect of the predicted pipe burst can be given, therefore, the method is quite practical and easy to use.

The invention provides a heat map providing method. The method comprises steps that a request of a user for playing a heat map of a preset event in a preset geographical area at the preset time segment is received; the data of the preset event generated at the preset geographical area at the preset time segment is acquired; according to the acquired data, a corresponding heat map is drafted by employing a webpage development language-heat map (WebGL-heatmap) drafting method; the draft heat map is displayed on a generated map base map, and the draft heat map is transmitted to a user. Through the method, the heat map can be rapidly generated and provided for the user, so various demands of the user can be satisfied, and user experience can be improved.

The invention discloses a method for detecting spissatus and spissatus shadow Landsat thematic mapper (TM) images and Landsat enhanced thematic mapper (ETM) images. The method comprises steps of dividing an input image into 16 sub-atlases and performing wiener filtering denoising and normalization for the 16 sub-atlases; performing rough detection for the spissatus and the shadow in the 16 sub-atlases and selecting reference pairs from a rough detection result; solving a mass center connection inclined angle and a space of a final reference pair in accordance with all reference pairs; matching the spissatus and the shadow in the 16 sub-atlases in accordance with the mass center connection inclined angle and the space of the final reference pair and performing supplementary detection for unmatched spissatus and unmatched shadow; adding a matching result of the spissatus and the shadow and a supplementary detection result and obtaining final detection result sub-images of all sub-atlases; and sequentially splicing final detection result sub-images of all sub-atlases and obtaining a final detection result image. Auxiliary information and manual intervention are not required, the detection precision is high and the method can be used in detection and classification of remote sensing image variation and pre-processing of image segmentation.

The invention discloses a method and a system for generating a heat map. The method comprises the steps of: acquiring a counter real scene image including at least a customer's face; identifying the counter real scene image to obtain identity information of the customer, location information of the customer at a counter area and customer's attention information; and generating a heat map associated with the customer, goods and the counter area based on the identity information, location information and attention information. The method and the system can find out the degree of influence of goods types, goods positions, customer locations or customer attributes based on the generated heat map, so as to further optimize the design of the counter or to provide the highest matching goods recommendation / promotion strategy for customers.

The invention discloses a method for generating power system polluted region distribution map by utilizing intelligent rule bank engine. An intelligent rule bank is divided into a pollution source rule bank, a pollution level rule bank, a pollution wet characteristic rule bank and an operating experience rule bank, quantization is carried out on each rule attribute, attribute information of region characteristic and weather characteristic of each rule are assigned, various data is input, an automatic map forming intelligent rule bank engine is built by virtue of GIS buffer area algorithm and GIS modelling technique, a thematic map of each rule bank is generated by applying GIS buffer area algorithm and combining weather data, each thematic map is subject to superposition according to GIS modelling technique, and GIS fusion algorithm is adopted to fuse corresponding map layers, and then each pollution level map layer is spliced, thus finally generating the polluted region distribution map. The method has the advantages that drawing efficiency is high, polluted region information can be updated and shared at any time, operating experience and drawing rule can be quantized and intellectualization degree is high.

A method and system for analyzing business performance and opportunities by generating one or more series of heat map views of business components by a plurality of dimensions associate information related to a plurality of dimensions with one or more business components; define one or more dimensions from the plurality of dimensions; generate one or more series of heat map views of the said business components by said defined one of more dimensions; and present said series of heat map views of the business components.

Provided is a pipeline health state assessment method based on a random forest model, belonging to the city water supply pipe network technical field. The method comprises: respectively extracting the pipeline basic information and historic damage case from the foundation database and the damaged database of a city water supply network; performing data pre-processing on obtained pipeline information; utilizing a random forest model to establish the relation between an independent variable and a dependent variable, and evaluating model classification effects; utilizing the random forest model passing classification effect evaluation to predict the damage probability of the water supply pipe network; grading prediction results, representing health levels by different colors, and drafting a health state thematic map; and evaluating pipeline damage influence factor importance, and analyzing influence rules. The pipeline health state assessment method can assess pipe network health states, obtain prediction results fundamentally according with real conditions, effectively evaluate pipeline states, and provide certain theoretical support for water supply enterprises to make a plane of determining pipeline maintenance and reconstruction priorities, and optimizing maintenance.