138 results about "Coverage Type" patented technology

The invention relates to an SFS (Shape From Shading) three-dimensional reconstruction sparse-DEM (Digital Elevation Model) encrypting method considering surface spectral information. The invention creatively provides a coarse-resolution DEM-grid interpolation-encrypting method by combining multi-spectral remote-sensing images with SFS three-dimensional reconstruction; ground-object spectral information is utilized to estimate the reflectivity of different ground-object types, and the influences of surface-vegetation coverage types on the precision of SFS reconstruction are removed; in the invention, multi-spectral images are utilized to replace full-color images, and the precision of three-dimensional reconstruction is improved by applying the assistance of the ground-object spectral information; the influences of the surface-vegetation coverage types and ground-object shadows on establishing a surface three-dimensional model and image spectral-brightness transforming relation can be effectively inhibited; and relative to a commonly-used DEM interpolation algorithm, the precision is markedly improved, and examples validate that the method can be used for improving the DEM spatial resolution to be two times of original data and finishing large-range rapid DEM establishment based on sparse control points.

The invention belongs to the technical field of geographic information systems and remote sensing, specifically a three-dimensional ground object automatic extraction and scene reconstruction method based on geographic information and remote sensing data. The method mainly comprises a step of ground surface coverage type detection: extracting water areas, buildings, roads and vegetation from map data and optical image data; a step of building detection and height estimation: extracting the geographic information of a building and estimating the height of the building from an optical image; a step of vegetation detection and extraction: detecting the vegetation and carrying out the height estimation through a neural network; and a step of three-dimensional ground surface model building: building a three-dimensional ground surface through a digital elevation map and carrying out the embedding of ground objects. A three-dimensional scene which is automatically reconstructed based on the global geographic information and remote sensing data is real and accurate, can be updated quickly, and can support the VR/AR application (location services and virtual guide), and also can be used as a background environment model for electromagnetic environment simulation.

The invention discloses a random forest-based multifactor remote sensing surface temperature space downscaling method. The method comprises the following steps of: inverting multiple surface parameters which can represent water body, vegetation, building and exposed soil according to surface coverage types, and selecting the surface parameters having relatively strong relevance with a surface temperature as scale factors through relevance analysis; aiming at the problem that high-temperature regions such as deserts and exposed soil are incorrect in temperature estimation, importing short infrared bands as scale factors so as to improve the downscaling precision of the high-temperature regions; and aiming at the unbalance problem of random data extraction of random forests, adopting a method of establishing different regression models under different surface coverage types to respectively carry out downscaling under the different surface coverage types, so as to obtain a high-resolutionsurface temperature image. The method has favorable applicability in a large scale or regions with complicated surface coverage, and is capable of effectively improving the downscaling precision andefficiency.

The invention discloses a land coverage change algorithm based on time-space analysis. The method comprises the following steps: S1, performing remote sensing data preprocessing; S2, performing NDVI distribution map calculation; S3, performing regression simulation on NDVI values in different land coverage type scopes; S4, performing threshold determining and land coverage type distribution map extraction; and S5, performing land coverage type change statistics. According to the invention, by taking remote sensing images of different time phases and land data (such as second national land data employed by the embodiments of the invention) of field investigation as a basis, image preprocessing is performed on the remote sensing images, and plantation normalization exponents of the different time phases are obtained. Model analyzing is performed on NDVI data of the different time phases and corresponding land field investigation data, an NDVI threshold scope corresponding to each type of land is determined, a quite clear land use type graph is obtained, and changing land coverage change data statistics is carried out.

The invention discloses a method for filling an isoline of a petroleum seismotectonic map, wherein the isoline of the petroleum seismotectonic map is built by using cross-sectional data after analysis and interpretation of seism and by using a triangulated irregular network. The method comprises the following steps: creating the isoline of the petroleum seismotectonic map by a common method of generating the isoline by using grids, building the triangulated irregular network by the Delaunay triangle principle, extracting a skeleton line, traversing a triangle by taking a line segment between every two points on the isoline as a restriction, extracting and deleting all the triangles intersecting with the line segment, locally rebuilding the triangulated network, and directly filling each triangle at equal intervals or gradually to generate the seismotectonic map. The method can fill an area between two optional isolines by filling each triangle, and has the advantages of high speed and precision when compared with the traditional coverage type filling method.

A coverage map for a wireless network is generated. The network includes a server communicating with clients in a coverage area. The clients are mobile devices. At the server, location and reliability information from each client is received. The server then constructs and maintains the coverage map according to the location and reliability information. The coverage map is used to deliver telematic information from the server to the clients in response to requests by the clients.

The invention relates to a surface high-frequency vibration conformal machining device and method for an optical element. The method is based on parts such as a precision air cylinder, a gantry, a high-speed motor, a precision frequency converter, a cam, a swinging arm, a grinding head and a rotary platform, a polishing grinding head provided with a base layer, a flexible layer and a polishing layer is tightly attached to the surface of a workpiece with a certain pressure to carry out high-frequency vibration polishining. The high-frequency vibration conformal polishing method adopts full-aperture conformal coverage type polishing, is not limited by the surface characteristics of the workpiece to be machined, can polish various special-shaped optical surfaces, and achieves removal of high-speed materials on the surface of the workpiece to be machined, and the polishing efficiency is improved by 10-50 times compared with a common method. Meanwhile, a smoothness function is achieved for high frequency errors in the surface of the workpiece, and the surface high-frequency vibration conformal machining device and method for the optical element adapts to rapid polishing and medium and high frequency error suppression of small and large aperture planar, spherical and aspheric elements in the axial symmetry and special-shaped elements.

The invention discloses a spatial simulation method for plant species richness distribution. The method is implemented by mainly comprising the three steps of firstly, on the basis of collecting and preprocessing natural reserve plant species data, land utilization/coverage data, annual average biological temperature and precipitation data, DEM data and soil data of a research area, realizing spatial processing and statistical analysis of parameter factors; secondly, establishing optimal equations of correlation between plant species richness and three major habitat factors including a land utilization/coverage area, an environmental factor and a land utilization/coverage type structure index; and finally, realizing comprehensive integration of the optimal correlation equations of the three major factors, constructing the spatial simulation method for the plant species richness, and realizing spatial simulation analysis of the plant species richness. The method not only can realize spatial distribution simulation of the plant species richness in a meso-macro-scale but also has very high simulation precision and very high operability.

The invention discloses a coverage type karst multi-line simultaneous detection and survey method under a strong interference condition. The coverage type karst multi-line simultaneous detection and survey method under the strong interference condition comprises the following steps of: researching the background of areal geology and regional hydrogeology, collecting and analyzing background information and early-stage survey data of areal geology and regional hydrogeology, and determining spacing between survey points and a geophysical prospecting CT profile line net arrangement form accordingto the project type, the design scheme and the early-stage survey data; adopting an intuitional method to observe a drilled rock core, adopting a drilling color television to perform in-situ observation of an karst cave or a soil cave, acquiring a hole wall image in real time by an imaging system, and performing primary image on an all-hole wall; knowing karst cave distribution, a shape and a large-scale basic development rule according to detection and survey; comprehensively explaining and delineating an abnormal point according to geophysical prospecting results, and performing planar projection synthesis on abnormal regions delineated on different CT profiles; and performing comprehensive drilling, test, geophysical prospecting and hydrogeological conditions to analyze the karst development rule. The coverage type karst multi-line simultaneous detection and survey method has the advantage of being capable of accurately reflecting a karst development condition.

The invention discloses a method and a system for providing service quality guarantee in a wireless network. The method comprises the following steps of: dividing network coverage into a plurality of coverage types and setting a service quality parameter set corresponding to each coverage type; selecting a coverage type matched with the current wireless network access equipment from the plurality of coverage types and configuring the service quality parameters for the current wireless network access equipment according to the parameter set of the matched coverage type; and managing a service request of the user terminal by using the current wireless network access equipment according to the configured service quality parameters and a preset relationship between a user terminal and the wireless network. In the wireless network deployed in a large scale, the utilization rate of network resources can be increased and the service quality in the application coverage range can be improved integrally by the method and the system.

The invention relates to a method for designing a diversity phased array based on a millimeter-wave collision-avoidance radar. The method is characterized in that the distance between radar transmission array elements is equal to the length of a receiving array; a transmission wave beam can realize the whole-airspace coverage through multiple beats of scanning, and transmission grating lobes are formed in multiple directions during each beat; a receiving wave beam simultaneously points the transmission grating lobes through DBF (digital beam formation) during each beat; the whole-airspace coverage type scanning can be formed by multiple beats of synthesis. The method has the advantage that an orthogonal signal does not need to be generated, but the property of MIMO (multiple input multipleoutput) radar virtual aperture can be formed, so that the complexity of the system is effectively controlled, and the radar cost is reduced.

The invention relates to the field of internet advertising and provides a method and a system for automatically matching advertisement templates. According to the method, when a browser accesses a website, the browser sends an advertisement request to a server via a request link corresponding to a script code, wherein the advertisement request contains the size information of an advertisement position; and automatically matching the advertisement request with an advertisement template according to the size information of the advertisement position. The above advertisement template is pre-manufactured. Based on the method and the system, the full-size advertisement position can be conveniently covered for a customer. Meanwhile, the full-size coverage type advertisement production cost is reduced, and the advertisement manufacturing efficiency is improved.

The invention discloses a wireless video monitoring system based on a wide water domain. A ship, vehicle and boat hybrid monitoring manner is adopted to establish a monitoring system, a wireless-based network-carrying system is constructed for a ship-vehicle-boat monitoring system, wireless network coverage is carried out by a 3G (The 3rd Generation Telecommunication)+WiMAX (Worldwide Interoperability for Microwave Access)+WiFi (Wireless Fidelity) hybrid architecture mode, servers are erected on a boat, a vehicle and a boat for transmitting and processing videos, and video data acquired by the ship, the vehicle and the boat are transmitted to a monitoring center through the network-carrying system. The monitoring system based on the wide water domain, provided by the invention, has the advantages of good coverage type, flexibility in detection, no influence from weather environment, and the like, can better avoid the defect brought by traditional satellites, can be used for monitoring the wide water domain in real time, has a aerial panorama with the formation time reduced from traditional 3-7 days to about 1-2 days, and can work under weather conditions such as rain, snow, fog and the like that the traditional satellites can not form an image and give a corresponding result image.

The invention relates to an urban surface cover fine classification method and device based on a remote sensing image. The method includes: carrying out pixel-level fusion on the Landsat data, the spectral index and the surface temperature; and obtaining a new image fused with various information as input data of the model, extracting corresponding spectrums from the spectrum library in combination with a three-layer classification system to serve as training samples of the first classification model, the second classification model and the third classification model, and calculating abundanceof subdivided ground object coverage types in pixels by using a multi-layer model. Compared with the prior art, the method and device have the advantages that fine classification of the sub-pixel scale of the ground object coverage type is realized, and the precision of urban ground surface coverage classification of the remote sensing image is improved.

The invention relates to a method for correcting the angular effect of a remote sensing surface temperature product. The method comprises: calculating brightness temperatures of 31 and 32 bands of a pixel by using MOD021KM data; acquiring an atmosphere lower-bound temperature Tair, an atmospheric total water vapor content CWV, a sensor observation zenith angle thetav of the pixel; acquiring general split-window algorithm coefficients C, A1, A2, A3, B1, B2, and B3 in a pixel sensor observation direction; determining a zenith emissivity(epsilon 0) of the pixel; calculating a gradient (alpha) anda slope (phi) of the pixel; calculating a local reflection angle (theta 0); acquiring an average emissivity data set of different coverage types of pure pixels on the surface at the sensor observation angles from -65degrees to +65 degrees; acquiring an emissivity difference data set of different observation zenith angles relative to the zenith direction; making the hypothesis of an expression ofemissivity variation the pixel relative to the zenith direction in an observation direction; determining an emissivity expression of the pixel in an observation direction; and calculating a surface temperature (Ts). According to the invention, on the basis of combination of the existing research, data and methods, the pixel-level emissivity directionality model with high universality is provided and can be applied to the angular effect correction of MODIS temperature products.

The invention relates to an apparatus for measuring stem intensity of crops in colony plantation, which comprises a touch rod contacted to the colony crop, more than two sensors, a hollow tube and a processing system; the touch rod is uniformly provided with the sensors, and the sensor is fixed on the hollow tube; the processing system comprises an acquisition module, a correction processing module, a displaying module and a power supply, and the processing system is fixed on one end of the hollow tube. The apparatus for measuring stem intensity of crops in colony plantation base on mechanics provided by the invention has the advantages of accurate and reliable measurement result, thereby realizing all coverage type measurement of the plantation district, and especially adapting to crop stem intensity measurement of the breeding district.

The invention relates to a moraine coverage type glacier recognition method combining polarization decomposition and topographic features. Firstly, a coherence matrix T is calculated according to a radar scattering matrix S; polarization decomposition characteristics, local incident angles and included angles delta between radar beams and the slope direction are obtained through polarization decomposition and geocoding, principal components of the multiple polarization decomposition characteristics are analyzed and then combined with the local incident angles to form an image to be classified,and vector files of a small (S) area, a medium (M) area and a large (L) area are obtained through segmentation of delta by taking 60 degrees as a unit. Secondly, the optical image is segmented to obtain a ground class sample vector, and the to-be-classified image is cut to calculate a sample value; and finally, an SVM classification algorithm is executed on the to-be-classified images, and the moraine coverage type glacier is identified. Compared with a traditional method, polarization decomposition characteristics used in the method are closely related to physical attributes of the glacier surface, classification is executed in a partitioned mode, mistaken classification caused by terrains can be effectively weakened, glacier area classification is further refined, and the recognition precision is further improved.

The invention discloses a novel water conservancy project BIM unique coding method based on Omniclass classification technology, which comprises the following steps: establishing a water conservancy project object classification directory structure tree and classification code, and setting the tree as a shared library; Establishing the unique coding structure of BIM for water conservancy engineering; Forming an engineering model and a data unique pipeline code corresponding to the classification code; Define or extend the arithmetic rules of digital coding system; Adjustment of BIM engineeringmodel and data coding; The unique coded data report and BIM information set of water conservancy engineering BIM object are derived. Develop code-based data applications. The invention combines the Omniclass classification technology and the classification rule of the water conservancy engineering professional technical object, The invention has wide applicability and technical forefront, and theonly coding structure of the invention describes a wide coverage type and a large information reserve, and can realize the coding application of a super-large model and a mass data object in a BIM life cycle through the coding structure.

The invention discloses a coastal wetland land cover information extraction method based on integrated multi-source remote sensing data. The method mainly comprises three steps: 1) data collection andpretreatment: to begin with, collecting cloudless optical and SAR remote sensing data in a research area and carrying out corresponding pretreatment, then, combining the two into an integrated data set, and collecting training data and test data and carrying out discretization processing; 2) constructing a coastal wetland land cover information extraction Bayesian network model through a conditional independence test method; and 3) carrying out land cover classification on the multi-dimension data set by utilizing the established Bayesian network model, and realizing automatic extraction of coastal wetland land cover information. The method can realize automatic extraction of land cover information well through integrated utilization of respective advantages of optical and SAR images, andhas high operability and practicality.