322 results about "Land cover" patented technology

The invention discloses a land cover classification method for a high-resolution remote sensing image based on a parallel algorithm. The method comprises the steps that S1, high-resolution remote sensing image data is segmented according to the number of computers, and high-resolution remote sensing image blocks after segmentation are obtained; S2, all the high-resolution remote sensing image blocks are allocated to m processors based on an OpenMP parallel framework, and land cover classification processing is executed concurrently; and S3, according to the data segmentation principle, all high-resolution remote sensing image block data is merged, and a final land cover classification result is obtained. Through the method, the data is automatically segmented according to the data size andcomputer memory using conditions, a configuration file is used to organize a classification algorithm process, a parallel classification algorithm is realized, and therefore the method can adapt to ahigh-resolution land cover charting task with an extremely large data volume and land object space fine division.

The invention provides a systematic method for treating agricultural non-point source pollution in hilly areas. According to the systematic method, hilly uplands are reclaimed as counter-slope terrace lands, terrace lands per line are kept at equal height, and different lines of terrace lands are parallel mutually and are perpendicular to the inclination direction of upslope lands. The systematic method includes source reduction, runoff interception, process control and nutrient utilization, wherein source reduction refers to substitution for and reduction of chemical pesticides and chemical fertilizers; runoff interception is implemented by planting hedgerow on the external slope surfaces of the counter-slope terrace lands and planting land cover plants on the slope surfaces, dorsal furrows and terrace ridges; in process control, flood intercepting trenches, longitudinal drainage ditches and the dorsal furrows are formed and grit chambers, water-collecting wells and primary rainwater collecting devices are arranged to form a network; nutrient utilization is implemented by a pretreatment unit and a main treatment unit. The systematic method for treating the agricultural non-point source pollution in the hilly areas has the advantages that onsite terrain conditions are fully utilized, and corresponding ecological control and treatment methods are adopted in different forming phases of runoff and pollution, so that runoff nutrient cycling utilization efficiency is improved and production and discharge of the non-point source pollution are reduced.

The invention discloses a land utilization category determination method fusing in streetscape images. The method comprises the following steps of firstly, extracting the fine ground object category information in the street view image sampling points through a deep learning convolutional neural network mode; meanwhile, preprocessing the remote sensing image, and obtaining a land cover map by using a supervised classification method; secondly, through the spectrum, the texture, the shape and the geographic distribution information of the pixels where the streetscape sampling points are located, deducing the category condition of the adjacent pixels; and finally, fusing the pixel classification information and the land cover map to obtain a fine multi-class land utilization result. According to the method, by starting from the remote sensing based on the pixel classification, the fine streetscape information is combined, and the precision of the classification result is high.

The invention provides a method for analyzing the influence of landscape features on the precision of remote sensing classification spots, including step 1, acquiring data, including performing data standardization processing on original images; step 2, performing image recognition on the data obtained in step 1, including classifying and Post-classification processing, wherein the classification process includes the determination of the classification pattern; step 3, the correlation calculation between the classification pattern and the true value data pattern is carried out on the data obtained in step 2, and the regression curve fitting is established Regression model, including the definition of landscape index expressing landscape characteristics; step 4, statistically test the regression model established in step 3, and evaluate the classification error expressed by the landscape index. The present invention adopts the theoretical basis of the accuracy evaluation and analysis based on the spatial features of the remote sensing classification, uses the landscape features of the remote sensing classification map to describe and express the classification accuracy, and provides the basis and guidance for the application and research related to the land cover thematic map.

Described are devices and methods for providing protection to plants from cold and other weather. A plant cover or protector is constructed of a translucent or other material, a flexible or bendable material, cut into a two-dimensional blank or shape and provides an easily assembled, self-supporting structure to be placed over one or more plants or a location. The plant protector is erected without the use of tools or need for a separate frame or support. The plant protector may be used with stakes or spikes. The plant protector may be collapsed to a planar configuration. The plant protector may be easily and inexpensively manufactured. The plant protector may be repeatedly used from season to season. A top portion of each plant protector may be easily and quickly closed or opened such as by manual manipulation. The plant protector comprises one or more supports or feet for increased contact with the ground and resilience against wind. The plant protector may be folded from a blank into a three-dimensional frustum or conical shape and placed in a desired location. Other shapes such as hexagonal and octagonal cross sections are possible. A preferred form is tapered from bottom to top.

The invention provides a land cover classification method which comprises the steps of (1) determining plaque areas with similar domestic remote sensing image characters and than carrying out reasonable image segmentation, (2) according to the different areas divided in the step (1), by using spectrum, texture and geometrical characteristics, calculating an image characteristic, (3) by using historical land use data and a ground object spectral library, combined with the image characteristic in the step (2), a ground object sample is obtained automatically, (4) with the ground object sample of the step (3) as an information entropy, various types of ground objects are extracted by using a decision tree and the boosting technology, (5) calculating various types of ground object plaque areas, carrying out plaque combination and elimination according to a set value, and finally obtaining a classification result. The problems of wrong land cover classification and multiple broken plaques are solved, thus the operation efficiency is improved by 50%, and the classification accuracy is raised to 90%.