35results about How to "Quick and automatic extraction" patented technology

The invention relates to a remote sensing image road extracting method based on stereo constraint, which comprises the following steps: extracting and refining the edge of the left image of a stereo pair, thereby obtaining a binary image of the single pixel edge; carrying out shape constraint and vectorization on the binary image of the single pixel edge by using an improved phase grouping method; carrying out edge line node matching on the basis of grey scale correlations, thereby determining the homonymous image point of the edge line node on the right image; resolving node elevation on thebasis of an image pair RPC model parameter or interior / exterior orientation element forward intersection method; and determining the road extraction result on the basis of the road edge line constrained by the node elevation. Starting with the stereo image, the invention extracts the elevation information of the road edge line, which is obtained after edge extraction, refining, shape constraint and vectorization, and establishes a model by which the branch nodes of the candidate road edge lines can be matched and the elevation information can be acquired by carrying out forward intersection on the homonymous point information; and according to the elevation characteristic of the road, the invention establishes elevation constraint conditions, carries out elevation constraint, and extractssatisfactory road edge lines from the candidate road edge lines, thereby realizing quick automatic extraction of road thematic information on the remote sensing image.

Embodiments of the invention provide a data extraction method and apparatus. The method comprises the steps of obtaining data extraction demand information input by a user; generating task description information in a computer readable form according to the data extraction demand information; obtaining a calculation script corresponding to a to-be-extracted data source according to the task description information, and determining a calculation platform corresponding to the data source; and scheduling the calculation script by utilizing the calculation platform to obtain an extraction result. According to the method and the apparatus provided by the embodiments of the invention, quick and automatic data extraction can be realized.

The invention discloses an automatic dosing device for an injector. The automatic dosing device comprises a drug loading platform, a tri-axial moving mechanism, an injector push-pull control mechanism and a lower computer, wherein a plurality of circular holes which are matched with the sizes of medical ampoules and medical normal saline bottles are formed in the drug loading platform; the tri-axial moving mechanism is arranged above the drug loading platform; the tri-axial moving mechanism comprises three steering engines, an X axial screw rod, a Y axial screw rod and a Z axial screw rod; the three steering engines are respectively arranged at one ends of the X axial screw rod, the Y axial screw rod and the Z axial screw rod; the injector push-pull control mechanism is arranged at one end of the Y axial screw rod with a steering engine; an injector extracting controller, a spring and an injector fixing device arranged at the lower end of the spring are arranged on the injector push-pull control mechanism; the lower computer is respectively connected with the three steering engines and the injector extracting controller; and position coordinates of each medical ampoule and each medical normal saline bottle on the drug loading platform are stored in the lower computer.

The invention discloses a metamaterial simulation data processing method and a metamaterial simulation data processing device. The metamaterial simulation data processing method includes the steps of obtaining N transferring samples through a simulation algorithm, wherein each transferring sample comprises structural parameters characterizing metamaterial units and N is a natural number, obtaining distance values respectively comparing electromagnetic response characteristics of metamaterial units expressed by the N transferring samples with an electromagnetic response characteristic of a metamaterial unit expressed by a target sample, sequencing the N obtained distance values according to a heap sort algorithm, obtaining the transferring samples corresponding to the N distance values which are smaller in the sequenced distance values, and treating the transferring samples corresponding to the N distance values as designed samples, wherein n is a natural number less than N. The metamaterial simulation data processing method and the metamaterial simulation data processing device has the advantages of being capable of achieving automatic processing of metamaterial simulation data and improving data processing efficiency.

The invention belongs to the technical field of remote sensing, and in particular relates to an extraction method of water body thematic information of remote sensing images based on sequential nonlinear filtering. The method comprises the following four steps: preprocessing remote sensing images and completing sequential nonlinear filtering; calibrating filtering result image areas and calculating the feature values of each calibrated area; establishing the selection criteria of water body target areas; and carrying out automatic extraction of water body areas and post-processing of water body thematic extraction information based on morphology so as to generate thematic information vector data meeting the requirements of common GIS software finally. The extraction method, starting with the basic operation of grey-scale mathematical morphology, establishes a sequential nonlinear filtering model to directly carry out nonlinear filtering and extract water body areas in remote sensing images; according to relevant knowledge of water body, feature values of different water body areas extracted through sequential nonlinear filtering are calculated; according to water body imaging characteristics and relevant knowledge of water body areas, the selection criteria of the water body target areas are established to realize automatic and quick extraction of water body thematic information on remote sensing images. The extraction method is less influenced by noise and error and has strong robustness; moreover, the method realizes fully automatic processing of extraction water body without manual intervention, can process extensive data, and has less time consumption.

The invention discloses a remote sensing image building detection method based on multi-scale and multi-feature fusion, which includes down-sampling the high-resolution remote sensing image to obtain an image pyramid composed of images of different scales; calculating the edge images of the image pyramid; Multi-group feature calculation and fusion are performed on the scale edge image to establish a feature model; window selection is performed according to the feature model and local non-maximum suppression in the neighborhood to obtain the target window; the expansion / shrinkage calculation is performed on the target window in a small range to obtain a rectangular window ; Rotate the rectangular window according to the main direction of the target window to obtain an optimal target window, and extract buildings according to the optimal target window. Its remarkable effect is: multi-scale building detection is performed on Gaussian pyramid images, and the detection of buildings with different sizes, shapes, and orientations is universal; and the accuracy and efficiency of automatic building detection are effectively improved.

The invention relates to a method for automatically extracting a detection area of ​​a large offset printing image, which comprises the following steps: selecting a large offset printing image and preprocessing the offset printing large image; extracting one of the small single image areas in the offset printing large image, And automatically extract the positioning nucleus area in the small single image area; scale the large offset printing image, and obtain other small single image areas in the large offset printing image according to one of the extracted small single image areas, and perform Preliminary positioning: Accurately locate the positions of all small single-sheet image areas according to the automatically extracted positioning core area, and obtain all detection areas of offset printing large-sheet images. The present invention adopts an algorithm for automatically extracting positioning points, combined with image-based cross-correlation matching algorithms, feature point extraction and other methods, and achieves good results in automatic product area extraction in most application scenarios, and satisfies the needs of visual inspection in the offset printing industry. The need to automatically extract the product area of ​​a large image.

The invention relates to a method for extracting the text information in a new webpage, belonging to the field of webpage information analyzing and processing technique. The existing technique ordinarily adopts a packer to extract the interesting data from the web pages and the obtaining of information mode recognition knowledge of the packer is a time-taking and laborious, higher intelligence-demanding operation. The invention uses a stack data structure to convert the hiberarchy information of webpage data into vectors, constructs and analyzes Html tree, then making compression on the data of various layers of the Html tree, making data filtration, thinning, recognition and recombination to extract the needed data information. The invention is applied to extracting the template-generatednews information in the news web pages from a fixed website.

The present invention relates to the technical field of computer software. Disclosed are a knowledge graph automatic construction method and system for massive unstructured text. A named entity recognition problem is abstracted into one sequence labeling problem: one sentence is given, each word in a sentence sequence is labeled; an effective feature is designed on the basis of training data, various classification models are learned, a trained classifier is used to predict relations; multiple pieces of existing knowledge are linked, one large-scale unified knowledge network is created from the top level; and entity information are grabbed from three major online encyclopedias, open websites, relevant knowledge bases or search engine logs and integrated. The present invention significantly increases the speed of constructing a knowledge graph, increases time efficiency, reduces costs for labor resource by 30% or more. At the same time, the present invention provides improved domain portability, when constructing the knowledge graph, optimization is only required for entities and a relational extraction algorithm in the present invention for rapid implementation.

The invention relates to a method of extracting a voyage number based on vessel position data, which comprises the following steps: outward buffer is carried out on a port for departure and return of a vessel and the land and the island where the port is located, and a buffer face is formed; the position trajectory of the vessel is acquired, a crossing point where the position trajectory of the vessel and the buffer face cross is the departure position of the return position of the vessel, the process between two crossing points is one voyage number, and all voyage numbers are acquired through sequencing according to the time sequence. Voyage numbers of the vessel can be extracted in real time, rapidly, automatically and in a large range.

The invention discloses a metamaterial simulation data processing method and a metamaterial simulation data processing device. The metamaterial simulation data processing method includes the steps of obtaining N transferring samples through a simulation algorithm, wherein each transferring sample comprises structural parameters characterizing metamaterial units and N is a natural number, obtaining distance values respectively comparing electromagnetic response characteristics of metamaterial units expressed by the N transferring samples with an electromagnetic response characteristic of a metamaterial unit expressed by a target sample, sequencing the N obtained distance values according to a fast sequencing algorithm, obtaining the transferring samples corresponding to the N distance values which are smaller in the sequenced distance values, and treating the transferring samples corresponding to the N distance values as designed samples, wherein n is a natural number less than N. The metamaterial simulation data processing method and the metamaterial simulation data processing device has the advantages of being capable of achieving automatic processing of metamaterial simulation data and improving data processing efficiency.

The invention discloses a method and a device for metamaterial simulation data. The method comprises that N transfer samples are obtained through a simulation algorithm, the transfer samples comprise structure parameters representing metamaterial units, N is a natural number; distance values generated by respectively comparing electromagnetic response characteristics of the metamaterial units represented by the N transfer samples and electromagnetic response characteristics of the metamaterial units represented by target samples are obtained; the obtained N distance values are subjected to Shell sort, the transfer samples corresponding to n small distance values in the sort are obtained, the transfer samples corresponding to the n distance values are used as design samples, and n is a natural number smaller than N. Automatic processing of the metamaterial simulation data can be achieved, and efficiency of data processing can be improved.

The invention discloses a method for processing railway subgrade detecting radar data with sleeper interference eliminated, which comprises the following steps: finding out a position of a sleeper reflecting surface event of a railway subgrade detecting radar original data and extracting a sleeper reflected signal; performing low-pass filtering on the reflected signal to obtain a logic rule representing a sleeper position; and selecting the subgrade detecting original data by taking the logic rule as a reference, and obtaining the railway subgrade detecting radar data with the sleeper interference eliminated. The method extracts the relevant information of a sleeper according to a sleeper interference signal and eliminates the sleeper interference signal so as to facilitate the further processing of the railway subgrade detecting radar data. The method has the characteristics of safety, high efficiency and strong applicability.