698 results about "Raster data" patented technology

The invention discloses a design method for a distributed hydrological model by using a grid as an analog unit, which is called as ESSI for short. The design method comprises the following steps of: obtainment of a distributed parameter: converting vector data into grid data; generalization of a watershed hydrological process: establishing a universal runoff generating type for the grid; design of a runoff generating process: respectively computing the water-quantity distributing condition of each part according to different prior-period soil water conditions; design of a flow collecting process: respectively designing a Muskingum-Cunge method, a delay algorithm and a riverway segmentation Muskingum method for the flow collecting process computation of the model under different conditions; and model development and integration. The invention not only can finish the watershed hydrological process simulation at an arid region and a humid region, but also can realize the short-term flood forecast and the long-term rainfall-runoff process simulation and prediction of a watershed by using modularization and integration ideas as means, thereby providing scientific reference bases for deeply learning about the physical mechanism of water circulation by people, reducing the drought and water-logging disasters and reasonably developing and utilizing water resources.

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.

A system and method for dynamic zoom adjustment based, in part, upon: the raster data in the user selected local area is disclosed; and / or the knowledge of a prevailing font size in a user selected region such that the text in that region is enlarged to be just readable. To achieve this, the detail in the local area is examined and a zoom factor is calculated that depends on the image detail and / or the viewing screen resolution. A document server may be employed to develop the information needed to enable this functionality. In one embodiment, the information is developed by RIPping the document, and then storing a spatial map of localized details (e.g., font sizes at several display resolutions) to automatically adjust a zoom level or factor and thereby facilitate navigation and reading.

Parameters that define the frequency raster points to be used in an unlicensed band are used to support operation of wireless devices in both licensed and unlicensed frequency bands. Corresponding signaling messages are used to exchange information regarding the device's capabilities, preferences, transmission power, etc. In one method, implemented in a wireless communication device (410) configured to operate in at least first and second frequency bands, a radio access network is accessed (510), using a first radio access mode and the first frequency band. The method further comprises transmitting (520) frequency raster data to the radio access network, wherein the frequency raster data corresponds to the second band, indicates a tuning capability of the wireless communication device (410), and comprises at least a first frequency index and a granularity indicator. Methods and apparatus for maintaining a database of access point capabilities in unlicensed bands are also disclosed.

The invention discloses a method and a device for integrating radar and geographic information data, and a weather monitoring system. The device comprises an extraction module, a conversion module and an integration module, wherein the extraction module is used for extracting radar raster data; the conversion module is used for the space coordinate registration and projection conversion of the radar raster data based on a GIS base map; and the integration module is used for scanning the acquired radar raster data of the conversion module and merging the adjacent rasters with the same echo grade into a vector polygonal surface area datum to acquire a plurality of vector polygonal surface area data after merging. The invention can increase the speed for generating, displaying and analyzing the integration data.

The invention relates to a method and apparatus that uses an R-tree's vector data as a mechanism for query and retrieval of raster data in conjunction with or instead of the vector data. The invention relates to a method of storing, indexing and retrieving raster data comprising: storing raster data, storing vector data, and indexing said raster data and said vector data with same index information.

The invention discloses a method for detecting an unstructured road boundary on which an intelligent vehicle runs. The method comprises the following steps of: analyzing and processing frame data of a vehicle-mounted 64 line laser radar to obtain frame two-value raster data, expanding and corroding the frame two-value raster data to fill small space between data of barriers on the same side of a road and keeping the whole outline unchanged; solving the outline of each barrier target, storing in a chain code mode and solving the mass center of the outline; performing K means clustering on the barrier targets, wherein a sample is the solved mass center, the targets comprise barrier targets on the left side of the road and barrier targets on the right side of the road; and training by using a support vector machine (SVM), wherein the sample is the outline points of the classified barrier targets, thus obtaining a classifier, and finally solving a straight line section which describes theroad boundary according to the classifier, the maximum interval conditions and the raster data. In the method, data involved in calculation is reduced as much as possible; and the method is high in real-time property, and the solved road boundary accuracy rate is high.

The invention discloses spatial overlap analysis method and system used in a geographic information system (GIS). The method comprises the following steps of: converting vector data input to layers in the GIS into raster data, and representing by adopting run coding; executing overlap operation on the raster data represented by adopting run coding; and converting the overlapped raster data into the vector data to obtain overlapped layers. The invention can avoid the disadvantages of computation geometric algorithms and increases the overlap efficiency by utilizing the advantages of a raster algorithm.

From a raster page, patches of connected pixels of the same color are identified. Patches of at least a predetermined sized, typically corresponding to text or line art objects, are subjected to a lossless compression. Patches below the predetermined size, typically corresponding to image or photo objects, are substantially subjected to a lossy compression. The patch predetermined size controls the mix of lossless and lossy compression procedures. Optimum compression is achieved by maximizing the lossless compression while attaining a targeted compression ratio. Various features include efficient recognition and encoding of patches, refined treatment of the boundaries between the lossless- and the lossy-compressed pixels, adaptive compression ratio control, and fail-safe compression provisions.

The invention discloses a method for constructing a city image based on city multisource heterogeneous data. The method comprises the steps of firstly obtaining original data from a city multisource heterogeneous data interface, and releasing the data to a specified internal classification of a message queue; secondly establishing a data rasterization conversion module corresponding to the city multisource heterogeneous data, extracting the data from the internal classification of the message queue, and performing rasterization conversion and data supplementation on the extracted data by adopting corresponding algorithms according to a normalized raster data model and original structures, business characteristics and time-space attributes of the data; and thirdly storing raster data formedafter the rasterization conversion and the data supplementation in a target database designed according to the normalized raster data model, and forming the city image composed of the city multisource heterogeneous data. According to the method, the multisource heterogeneous data in a city space is mapped to a unified and regular raster space, so that associated fusion of the heterogeneous data is realized, and basic data can be provided for specific application of a smart city.

A multistage organizing and indexing method oriented to massive remote sensing images comprises the following steps that A, wide image grid data is acquired and preprocessed; B, a cache pyramid of disk space is built, a two-stage indexing structure of a quadtree is divided through a scene pyramid and sub-scene rule, and ID and an attribute database are connected; C, a data recognizing mode is combined, attribute data bearing is achieved, partitioning recognizing is carried out, and multistage storage and index building are completed in a HBase database; D, a storage pool integrating virtualization, expansibility and sharing capacity is used for distributing resources according to needs at any time and in any place.

A coding circuit codes present image data of a pixel which is received as raster data and a delay circuit stores a coded image data for one frame period and outputs one-frame preceding image data of the pixel in accordance with an input of the coded image data. First and second decoder circuits decode coded image data and one-frame preceding coded image data, respectively, a variation-amount calculation circuit calculates variation-amount data of both decoded image date, and an one-frame preceding image reproduction circuit reproduces one-frame preceding reproduced image data. An image date correction circuit generates corrected present image data on the basis of the present image data and the one-frame preceding reproduced image data.

The invention discloses a method for building a mountainous area surface temperature base line and application, and relates to the measurement and application of mountainous area surface temperature base lines. A transient temperature field distributed continuously in MODIS thermal infrared remote sensing image inversion spaces is combined with longitude and latitude raster data to build the annual average temperature linear estimation model of a weather station as the calibration model of the transient surface temperature field. The model corrects the transient temperature field to obtain the mountainous area surface temperature base line. In YunnanProvince with the mountain landform as the main landform, the temperature base line with a 90m*90m grid as a unit is built, the temperature distribution characteristics and rules of the area are reflected, and the average temperature base line value of a 90m*90m land parcel can be found out in a quantitative mode. The temperature base line is used as basic data to be combined with an expert scoring method to respectively build a Yunnan Province pine wilt disease occurrence risk pre-warning model and a Yunnan Province forest fire danger long-term forecast model.

The invention provides a mass small tile file storage management method based on hadoop. According to the method, sequencing is carried out through a Hibert curve, and then, grid tile data is subjected to serialization compression storage by a Sequence File technology of the hadoop pre se; when tile compression blocks are generated, the multithreading parallel compression of a plurality of servers is realized, tile index information is generated, and the mass file library entering storage speed is accelerated; the regular naming of block file names is managed, and efficient storage, fast reading and high-performance grid data service can be provided for mass multi-source and multi-version grid small tiles; and ITMS (Improved Tile Map Service) is designed, and the problem of delay and bandwidth occupation caused by original data transmission and real-time data processing request responding, so that the project data retrieval and transmission requirements are met.

A multi-exposure drawing apparatus for drawing a given pattern on a workpiece is provided. The apparatus uses an exposure unit with optical modulation elements arranged in a matrix. The apparatus comprises a first, second, and third memory, a coordinate transformation processor, a calculation processor, and an exposure-data generating processor. The first, second, and third memory respectively stores raster-data of the given pattern, first-coordinate data representing a position of each optical modulation element, and second-coordinate data representing a position of the exposure unit. The coordinate transformation is performed for the first-coordinate data. Address-data is calculated in accordance with a pixel size of the raster-data, and is based on the sum of the first and second coordinate data. Exposure-data generated by outputting the raster-data of the address-data is given to each of the optical modulation elements. The given pattern is drawn on the drawing surface as to the exposure-data.

The invention relates to the field of disaster information management, in particular to a method for establishing a flood disaster geographical analysis and evaluation dynamic model. The method includes the steps that initial data of a region to be analyzed are collected, compressed and then stored in an established lightweight class spatial database; the initial data are retrieved, an established flood inundation analysis model is initialized, and a final flood inundated region areal map and a water depth classification map are acquired through a seed point spreading algorithm; integrated data of the final flood inundated region areal map and the water depth classification map are input to a flood disaster loss evaluation mathematical model and a flood risk evaluation mathematical model for calculation, and then the economic loss condition and the potential flood-hit risk degree of villages in a flood storage and detention region after flood inundation are acquired. A spatial database system and the flood inundation analysis model which are excellent in performance and stable and reliable in operation are established, the organization and management method of image raster data is optimized, the flood inundation condition of the flood storage and detention region under a given condition is visually displayed, and the consequential loss evaluation function is provided.

The invention discloses a polygonal rasterisation parallel conversion method based on a scanning line method, belonging to the field of a geographic information system. The polygonal rasterisation parallel conversion method comprises inputting a command line parameter; carrying out MPI (Message Passing Interface) parallel initialization so as to obtain a total progress number and a current progress number; adopting an equal parallel mode, analyzing the command line parameter in each progress respectively, collecting parameter values behind a leading indicator respectively, reading a vector data source by using an OGROpen method, and judging whether the progress is the No.0 progress; adopting a data parallel strategy, dividing a raster data set vector polygon to be distributed to all progresses, and carrying out rasterisation of a polygon in each progress at the same time; writing the raster data, updating a raster block in each progress and outputting the converted raster data. The method is utilized to perform polygonal rasterisation of large amount of data to achieve relatively high efficiency and a satisfying conversion result, the conversion processing speed of a multi-core / multiprocessor of a high performance server to polygonal rasterisation is improved sufficiently, and the conversion time of polygonal rasterisation is shortened greatly.

The invention discloses a global raster data storing method, which comprises the following steps of: reversely computing a remote sensing image to the earth surface; subdividing the earth surface by using a global raster subdivision model; storing the image information by blocks according to the subdivision structure of the raster subdivision model and constructing a hierarchical block-storage raster database; constructing a hierarchical block-storage raster data network according to the hierarchical block-storage raster database and storing the raster data into a corresponding node server ina network, wherein the hierarchical structure of the network corresponds to the hierarchical subdivision structure of the global raster subdivision model. In the invention, the space raster data are deployed into the corresponding node server in the network to form a hierarchical network topology structure which is easy to organize and manage, so that difficulties in data organization and management can be effectively reduced.

The invention discloses a high-fidelity digital modeling method of terrain elevation, the steps are as follows: the first step is to carry out push-broom data acquisition; the second step is to carry out grid segmentation of the acquired vector terrain feature data; the third step is to carry out similar DEM grid data organization of PLA, organization management is carried out to the PLA data after the grid segmentation treatment according to grid data structure; the fourth step is to generate a new digital elevation model file to carry out the seamless embedding of the vector feature data; a feature embedded digital elevation model data structure is composed of three sub-files which comprise a grid file, a feature identification file and a feature file; the grid file is a regular grid data structure; the feature identification file is used for spatial data index of a vector grid integrated organization, the structure thereof is consistent with the current national DEM data structure and only records the grids with the features; the feature file records terrain feature information which is contained in one grid unit, and the information comprises feature points and feature lines.

The invention discloses a multi-source heterogeneous spatial data flow method based on an Oracle database. The method comprises the steps of receiving a data request; determining a database node to be accessed through a spatial data index according to the request; reading multi-source heterogeneous data, and conducting spatial data model transformation according to a spatial data conversion module; conducting simple pretreatment on the conversed data; storing the data or storing the data after processing the data. According to the multi-source heterogeneous spatial data flow method based on the Oracle database, mature relational database spatial data storage and spatial database engine technologies are combined, and by building an integrative vector and raster data storage model, optimizing a spatial data retrieval mechanism and integrating spatial data which is distributed and stored in each spatial database, and the data flow of the heterogeneous spatial data is achieved. An Oracle database data driving engine NMSDE is developed based on the multi-source heterogeneous spatial data flow method, and the tests show that both the storage efficiency and inquiring efficiency of the Oracle database data driving engine NMSDE are superior to ArcSDE.

The invention discloses a preparation method of a ground-based observation air temperature space-time data set. The method comprises the following steps: firstly determining space-time resolution ratio and area range of a precast data set; preprocessing air temperature observation data so as to form a normative driving data set; preparing a macro geographic factor and microcosmic geographic factor grid data set of a research area so as to enable the macro geographic factor and microcosmic geographic factor grid data set to correspond to the space-time resolution ratio of the research area; constructing a wavelet neural network dynamic combined prediction model in the time dimension, performing simulation prediction on the change characteristics of air temperature data so as to form a future air temperature change time sequence set; calculating air temperature numerical values of grids in a target area one by one in the space dimension, so as to generate a spatial data set of air temperature spatial change trends; performing simulation calculation on air temperature in the time dimension and the space dimension simultaneously based on key influence factors so as to generate an air temperature future space-time change scene predication data set. The preparation method has favorable expansibility and can be popularized and applied to preparation and production of space-time data products of other observation elements of a geoscience station.

A data visualization technique rapidly loads images to decrease data transfer time and associated bandwidth cost for animation effects in displays of data, and includes initially loading raster imagery at a coarser zoom level than a current view on the display, and then manipulating the imagery using general-purpose image manipulation algorithms to interpolate data points as a user adjusts the zoom level. In this manner, the data visualization technique intentionally displays a coarser view than that selected, rather than transferring entirely new imagery or datasets, and manipulates the imagery as necessary to avoid loading more data from a remote server to the local client each time the user adjusts the view.

The invention discloses a method and system for forecasting urban accumulated water by means of rainfall forecasts. The method comprises the steps that rainfall forecast information of a target city is obtained by means of a data interface of a meteorological department, and the rainfall forecast information is converted into rainfall duration data; simulation computation is conducted on surface runoff in the rainfall process and the drainage process according to the rainfall duration data and by combining urban drainage pipe point and pipeline data and geographical information data, and running status data of a drainage pipe network in the drainage process is obtained; calculation is conducted on the water accumulation process by means of a multi-source non-single depression accumulated water simulation method according to the running status data of the drainage pipe network and combination with surface elevation information, raster data of one surface accumulated water depth is correspondingly obtained by conducting calculation on each rainfall time step, all the raster data of the surface accumulated water depths of the whole rainfall duration process are obtained, and the surface accumulated water information data of each preset time is obtained, wherein the accumulated water information data comprises but not limited to the position, depth and range of surface accumulated water.

An embodiment of the invention discloses a filtering method and a filtering device for point cloud data. The filtering method comprises the steps of: converting the point cloud data into raster data, and acquiring the lowest point in each raster as the initial point; performing morphological opening operation on the raster data to obtain an initial terrain surface; for each initial point, determining the current initial point as a potential ground seed point if a difference value between an elevation value of the current initial point and a value of the target raster which the current initial point falls into; constructing an initial triangulation network model according to the potential ground seed point; and determining a ground point according to the initial triangulation network model based on an irregular triangulation network filtering algorithm. By adopting the filtering method and the filtering device, the ground seed point can be reasonably determined, and the filtering efficiency is improved while guaranteeing the accuracy and precision of the initial triangulation network model, thereby the ground point in the point cloud data can be screened quickly and accurately.

One or more printers or printing systems are connected to a scanning device. Each printer includes one or more color modules that are used during a printing operation. A printer prints a target for each color module or color channel. The printed targets are then scanned by the scanning device. The printed targets may be rotated to any angle and then scanned by the scanning device. The scanned raster data is processed by a controller to detect non-uniformities in at least one density image and to generate one or more correction profiles for the printer. When an image is to be printed, one or more controllers receive the image data and use the one or more correction profiles to correct or compensate for the non-uniformities during the exposure process.

The invention discloses a soil-sampling method based on high-resolution satellite remote sensing data. The high-resolution satellite remote sensing image of a researched region is acquired, and the raster data of related indexes is calculated. The data is put into a rectangular frame, and is then divided into four zones with equal area, the semivariance mean of each zone is calculated, the zone with the maximum semivariance mean is found out and continuously divided into four zones, the maximum semivariance mean is rapidly reduced as the frequency of iteration is increased, and the amplitude of reduction is gradually decreased until a certain given iteration frequency or the maximum semivariance mean is less than a given threshold value (corresponding to a sampling error limit). Finally, the sampled region is divided into a large number of zones, the areas of which are different but the attribute differences of which are relatively uniform, and each zone is a soil-sampling unit. The method which integrates high-resolution satellite remote sensing data with the variance quad-tree method to sample soil can be utilized to rapidly and accurately acquire an optimal soil-sampling layout scheme, so the sampling cost is saved and the rationality and typicality of sampling points are increased.

In a print server, when page setting is made, a spot color name is extracted from a comment in an image drawing command and image data or a code of a job on a page (page layout) unit basis and a list for a spot color name of each page is generated. After that, a color separating process and an RIP are performed on the page unit basis, raster data of each of colors C, M, Y, and K and corresponding raster data of a spot color name is generated, after that, on the basis of CMYK values designated by the spot color name, the raster data of the spot color is composed with the raster data of each of the colors C, M, Y, and K, and the resultant is output. In such a manner, an overprint of an object designated in a spot color can be reproduced accurately.

The embodiment of the invention discloses a method and a device for data rasterization and a method and a device for user behavior analysis. The method for the data rasterization comprises the following steps of acquiring corresponding user associated data according to user behavior data produced in a target time period and located in a target area; computing a two-dimension number corresponding to the user associated data according to position information in the user associated data; acquiring a corresponding two-dimension index number from a two-dimension index number set by taking the two-dimension number as a query condition; associating a raster mark with the user associated data so as to obtain corresponding raster data. The efficiency of the data rasterization is increased, and user behavior rule or preference analysis based on mass of diversified real-time raster data is realized.

A laser direct imaging apparatus which can expose photosensitive materials having various sensitivities and which can correct an imaging position in accordance with deformation of a workpiece. In the laser direct imaging apparatus, the workpiece is moved in a sub-scanning direction while a cylindrical lens is used to converge a laser beam, which has been modulated based on raster data, in the sub-scanning direction and deflect the laser beam toward a main scanning direction so as to image a desired pattern on the workpiece. The cylindrical axis of the cylindrical lens is designed to be able to rotate horizontally and to be able to change an angle with respect to the main scanning direction.

A fast blocking and rasterizing algorithm of laser radar point cloud data is a technique in the earth observation field. The invention discloses a fast blocking and rasterizing method of the laser radar point cloud data, which comprises the storage organization mode and the relative positioning method of the laser radar point cloud data, the target position forward search and the automatic blocking method of the laser radar point cloud data, the interpolation and the post-treatment based on a three-dimensional storage matrix. The fast blocking and rasterizing method can reduce the requirements on hardware of a computer platform during the production process of grid data of the mass laser radar point cloud data, reduce the consumption of the computing resources during the rasterizing process of the mass laser radar point cloud data, and realize the fast blocking and the rasterizing of the laser radar point cloud data.