31 results about "Structural index" patented technology

The present invention proposes a method and device for extracting road area building changes based on high spatial resolution remote sensing images. The characteristics or key links of the method and device include: adopting an object-oriented image processing strategy, comprehensively utilizing spectral information of images and Spatial information (including structural index, spatial relationship), using a single-class classification method. In addition, in order to avoid interference (spectral similarity) on the extraction results by feature categories outside the road area, the present invention requires that existing road information be provided in advance, such as the existing road vector diagram. The range of the road domain is extracted by using the existing road vector diagram, and then only new buildings are extracted within the range of the road domain. The method and device for extracting new buildings with high spatial resolution provided by the present invention can greatly reduce the traditional method of using image visual interpretation to obtain new buildings (including illegal buildings) in the road area. Time, improve efficiency, save human resources, and can be used in road maintenance and monitoring business operation systems.

The invention discloses a method for calculating the soil texture value by using imaging parameters, which relates to the technical fields of soil mechanics and image statistics. First, do density and limit water content tests on the undisturbed soil, and measure the dry density and liquidity index of the soil sample; then carry out 3D CT scanning and 3D image reconstruction of the soil, and slice the image, and use the sliced ​​image for analysis. Convert the physical property parameters into image parameters; then make a fitting curve between the structure index and the comprehensive physical property feature quantity to obtain the relational expression; replace the physical property parameters with the converted image parameters, and finally realize the calculation of the structure with the image parameters value method. The invention utilizes the image parameters of pores to obtain the index of deconstruction degree, avoids tedious and time-consuming strength tests on undisturbed soil, remodeled soil, and saturated soil one by one, and combines simple and mature density and limit water content tests with new technology 3D CT scanning Therefore, only the undisturbed soil needs to be tested directly, which greatly improves the working efficiency.

The invention discloses a spatial simulation method for the distribution of plant species richness. The implementation of this method mainly includes three steps: First, based on the collection and preprocessing of plant species data, land use / cover data, annual average biological temperature and precipitation data, DEM data and soil data in the study area, Realize the spatial processing and statistical analysis of each parameter factor; secondly, establish the best correlation between plant species richness and land use / cover area, environmental factors and land use / cover type structure index respectively. Finally, realize the comprehensive integration of the best correlation equations of the three types of factors, construct the spatial simulation method of plant species richness, and realize the spatial simulation analysis of plant species richness. This method can not only simulate the spatial distribution of plant species richness on the meso-macro scale, but also has good simulation accuracy and strong operability.

The present invention aims at the Euler inversion calculation problem of the horizontal position and depth of different burial depths, different thicknesses, and different scales of geological bodies, based on the Euler homogeneous equation and the normalized inclination angle method, and proposes an extended inclination that does not depend on the structural index Angle Euler deconvolution method (ETA_Euler), on the one hand, avoids the divergence of the solution caused by the selection of the empirical construction index, and on the other hand, avoids the "analytic singularity" existing in the calculation of each derivative of the extended tilt angle (ETA) .

The invention discloses a complete inverse analysis structure monitoring and evaluation method, system, and a storage medium. In the scheme, monitoring modes of unit indexes and structure indexes areconstructed, fixed parameter values necessary for a calculation process of a corresponding mode are determined, and each monitoring mode is used as the minimum unit of a calculation unit and the structure indexes; then, the signal amount collected under the constructed monitoring mode is acquired, the collected signal amount is converted to a corresponding measurement physical amount, and the measurement physical amount is then converted to a corresponding direct physical amount; and finally, the corresponding process physical amount, the unit indexes and the structure indexes are obtained based on the obtained measurement physical amount and the direct physical amount by using the constructed monitoring mode and serve as direct evaluation objects for the structures and the components. According to the scheme, the structural safety and the use performance are reversely deduced completely through monitoring data, and the whole process does not depend on finite element calculation results of a design structure.

An embodiment of the invention provides a method and apparatus for evaluating a network structure. The method comprises the steps of acquiring sweep frequency data of each sweep frequency point; calculating the number N of available signal cells of each sweep frequency point and the total number M of auxiliary carriers of the available signal cells according to the sweep frequency data; calculating a co-frequency interference value between every two available signal cells based on the total number of the auxiliary carriers, correcting the co-frequency interference values by using the correlation of scrambling code groups, and obtaining interference values of the available signal cells; and calculating, according to the number N of available signal cells, the total number M of auxiliary carriers and the interference values of the available signal cells, a network structural index for evaluating the network structure. The network structural index is calculated based on the network overlapping coverage degree, the auxiliary carriers and the interference factors among the cells in a network, a quantitative analysis of a network status is achieved, and the larger the network structure index, more complex the network structure and the larger an optimized space.

The invention discloses a radar remote sensing image artificial building recognition algorithm based on texture segmentation and fusion. The algorithm steps are as follows: determine the image segmentation scale factor and logical mask segmentation scale according to the sensor type; find, calculate and screen the spatial autocorrelation structure index feature and gray level co-occurrence matrix texture feature; according to the mask scale, the spatial feature index and texture information Perform logical masking; use mathematical morphology operations to filter the masking results; perform preliminary logical clustering on the filtered results, and search for obvious building areas; according to the preliminary search results, logical clustering again and combined with mathematical morphology reconstruction algorithms, update Improve the obvious building area, and reconstruct it through the mathematical morphology section, and finally obtain the building information recognition result accurately. The invention maximizes the ability of mathematical morphology and logical clustering to identify buildings in SAR images, and can improve the final identification accuracy of building information.

A method for estimating a fracability index of a geographic location includes determining a structural index and a mineral composition index of a geological sample extracted from a geographic location, and estimating the geographic location based on the structural index and the mineral composition index. The fracability index of the location. The texture index may be a texture-related measure, such as texture size or angularity, or a pore space-related measure, such as pore area, diameter, aspect ratio, and perimeter, or statistical data associated with these measurements. In certain embodiments, determining the mineral composition indicator includes detecting in the geological sample at least one prevalent organic proxy indicator, such as vanadium, iron, uranium, thorium, copper, sulfur, zinc, chromium, nickel, cobalt, lead, and molybdenum. Determining mineral composition indicators may also include detecting one, both, or all of the prevalent siliciclastic, carbonate, and clay.

The invention discloses an electric power system key section identification method based on an initial fault line cut set and especially relates to the electric power system fault detection technologyfield. The method is characterized by through defining the structural index of the cut set, an outage probability index and the percentage index of loss of load as a risk assessment index, using a direct current trend model to determine the initial load of each component and determining the cut point of a network; then, blocking a network topology map and disconnecting a determined initial faultline, and recalculating a trend; and searching the first K shortest paths which are seriously affected by initial fault line trend transfer in a same block, searching the cut set of the system based on the initial fault line in the first K shortest paths, calculating the risk assessment index value of the cut set and carrying out risk assessment on the cut set to accurately identify a key transmission section. The method can be realized without complex fault data processing. Compared with other electric power system key section method, the method of the invention is simple, rapid and is easy to realize.