33 results about "Rural settlement" patented technology

The invention discloses a rural resident point information extraction method based on a high-resolution remote-sensing image. The rural resident point information extraction method comprises the following steps: firstly, carrying out Canny edge detection on the high-resolution remote-sensing image, and obtaining a vector edge line through chain code tracking; then, carrying out Douglas-Peucker abbreviation on a vector edge to extract straight-line segments, and rejecting shorter straight-line segments and keeping longer straight-line segments according to length constraints; secondly, according to adjacency relation between the straight-line segments and included angle constraints, extracting straight angle points, calculating the density characteristics of the straight angle points within a certain space region range, and generating a straight angle point density characteristic image, wherein the characteristic image and the input high-resolution remote-sensing image have same spatial range and spatial resolution; and finally, carrying out binarization processing on the density characteristic image by utilizing Otsu, extracting rural resident point vector pattern spots through connected component analysis so as to extract rural resident point information. Precision and effects are improved, and robustness and universality are better.

The invention belongs to the technical field of rural land consolidation engineering, and discloses a progressive rural settlement consolidation zoning method that takes into account multi-dimensional features, coupled with a gravity model, land use dynamics model and spatial accessibility analysis technology, to comprehensively measure the interaction dimension of rural human settlements. Based on the multi-dimensional characteristics of the time-space change dimension and spatial reachable dimension of the settlement, the progressive zoning technology is used to renovate and partition the rural settlements, and realize the rapid identification of the remediation and partition of rural settlements of different scales. The invention solves the data dependence and single-scale problems existing in the current rural settlement improvement and zoning methods. The invention does not rely on the traditional evaluation index system, and can quickly and scientifically carry out rural settlement improvement and zoning, and has universality and good application prospect.

The invention provides a rural settlement unit information extracting technology based on knowledge discovery QUICKBIRD images, belonging to the technical field of remote sensing thematic information extracting, and aiming at solving the technical problem that: on the remote sensing images with high resolution, the settlement is a complex and various aggregate so that automatic and semi-automatic extracting settlement space unit information has large technical difficulty. The technology is mainly characterized in that: spectrum knowledge of each component of the rural settlement on the QUICKBIRD images is found, and the knowledge is used to initially extract the component information of the rural settlement; and the rural settlement unit information is semi-automatically extracted by using knowledge such as size, space relationship and the like of each component. The area precision of the settlement unit extracted by the technical method achieves to 97.4%, and the space position precision achieves to 90.4%. The method is suitable for semi-automatically extracting the rural settlement unit information from the QUICKBIRD images in plain regions, especially Chengdu plain regions.

The invention relates to a rural network node radiation domain-oriented rural residential area renovation zoning method. The renovation zoning method comprises the following steps: firstly, establishing a rural social economic network on the basis of a radiation model, then extracting the network centrality, constructing a rural residual area land demand-oriented network node evaluation index, determining a network node radiation domain through generating a rural network weighing Voronoi map, calculating the spatial quantitative relation between the network node radiation domain and rural residential area to determine a rural system and a zoning level, thus forming a rural residential area renovation zoning result through combining the land suitability evaluation of the rural residential area. The method comprehensively considers the practical space action range of rural nodes in the renovation of the rural residential area, integrates the rural social economic network relation into the weighing Voronoi map, thus breaking through the bound limit of the traditional administrative region, solving the deficiency of the current zoning social relevance and space directivity, and improving the renovation zoning scientificity and operability of the rural residential area.

The invention discloses a method for optimizing the layout of deep-buried garbage bins in rural areas based on GIS network analysis. First, the data of roads, rural residential areas, and candidate deep-buried garbage bins in the target area are obtained based on GIS; The layout optimization model of deep-buried garbage bins conducts layout optimization analysis, counts the coverage rate and service rate of deep-buried bins to rural residential areas, and judges whether the two indicators meet the requirements. If the requirements are not met, reset the type and number of candidate deep-buried garbage bins , run the layout optimization model of deep garbage bins until the coverage rate and service rate meet the requirements; then determine that the number of deep garbage bins is the minimum, reset the type and number of candidate deep garbage bins, and continue to run the layout optimization model of deep garbage bins , until the minimum number of deep-buried garbage bins is met, the final layout optimization scheme for deep-buried garbage bins is output. The invention has the advantages of high precision, strong operability, low layout cost of garbage deep-buried barrels, and the like.

The invention discloses a small household garbage classified collection station for a new countryside inhabitation region under urban and rural overall development. An upper layer garbage collection portion is located above a lower layer garage to form a cuboid building. The upper layer garbage collection portion is divided into four garbage collection chambers. Each garbage collection chamber is provided with a movable door. A corridor is arranged outside the movable doors. A garbage pouring inlet is formed in a floor of each garbage collection chamber and is connected with a pipeline. Sliding plates which can be opened and closed are arranged at the bottoms of the pipelines in an inclined mode. A transverse percolate discharge guide pipe and four longitudinal percolate discharge guide pipes are arranged at the bottom of the wall, connected with the garbage collection chambers, of the garage. One end of each longitudinal percolate discharge guide pipe leads to the inner portion of the lower side of the corresponding sliding plate which can be opened and closed, and the other end of each longitudinal percolate discharge guide pipe is communicated with the transverse percolate discharge guide pipe. The transverse percolate discharge guide pipe is connected with a sewer. The small household garbage classified collection station has the advantages that garbage is collected in a classified mode, and the small household garbage classified collection station is simple in structure, practical and good in rural-urban continuum garbage collection effect.

The invention discloses a method for extracting rural settlement land based on active and passive remote sensing data, comprising the following steps: (1) acquiring data and preprocessing; (2) calculating normalized vegetation index; (3) normalized building index Calculation; (4) Calculation of POLSAR dihedral scattering component; 5) Maximum likelihood classification. The present invention comprehensively applies optical remote sensing and microwave remote sensing information, and the complementary advantages of the two can more fully reflect the differences among ground features, and greatly improve the accuracy of extracting land for rural settlements.