Grid-vector data conversion and continuous scale representation method based on image pyramid

Abstract

The invention discloses a grid-vector data conversion and continuous scale representation method based on an image pyramid. The method comprises the following steps of firstly, carrying out preprocessing on a remote sensing image and carrying out multiscale visual representation on the preprocessed image to obtain a multiscale grid remote sensing image; secondly, carrying out noise processing on the multiscale grid remote sensing image obtained in the step 2 and carrying out automatic vectorization operation on the multiscale grid remote sensing image after noise processing; and lastly, carrying out simplification treatment on the image after automatic vectorization operation in order to obtain continuous scale representation of a vector image after simplification treatment. According to the method, the present matured remote sensing image processing technology and cartographic generalization are comprehensively and organically fused, and the automation of grid-vector data conversion of the remote sensing image data and the continuous scale representation of the remote sensing grid data and the map vector data are realized, so that the efficiency and the effect of geographical spatial data processing are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing and cartography synthesis, and relates to a geospatial data grid-vector automatic conversion and continuous scale expression method, in particular to a geospatial data grid that integrates remote sensing data processing and map cartography synthesis -Vector automatic conversion and continuous scale expression method. Background technique [0002] The multi-scale expression of geospatial data is one of the important contents in the field of photogrammetry and remote sensing, as well as in the field of cartography and geographic information system. , image classification, and mixed pixel decomposition provide entry points; in the field of geographic information systems, the multi-scale expression of geographic elements is based on the existing cartographic rules and the distribution of thematic features to combine spatial data between scales and apply them to multiple Scale-...

AI Technical Summary

Problems solved by technology

However, on the one hand, traditional multi-scale representations are processed separately based on different data sources in the field of remote sensing and cartographic synthesis. This data processing method greatly increases the time complexity of geospatial data processing; on the other hand, vector The multi-scale expression of data generally only expresses the results on a limited scale, and it is difficult to obtain continuous scale expression beyond the limited scale

Traditional raster-vector data conversion uses manual vectorization, but with the massive growth of geospatial data, the human cost and human error of manual vectorization limit the improvement of vectorization efficiency and accuracy

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