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 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.