Rural resident point information extraction method based on high-resolution remote-sensing image

Abstract

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.

Description

technical field [0001] The invention relates to a method for extracting remote sensing image information, in particular to a method for extracting rural settlement information based on high-resolution remote sensing images, and belongs to the technical field of image intelligent processing. Background technique [0002] Urbanization is a process in which population continues to gather in cities and towns. It is an inevitable historical stage in the process of industrialization in all countries in the world. It is an important symbol in the process of industrialization and modernization, and it reflects the qualitative change and optimization of social production and lifestyle. my country did not usher in the wave of urbanization until after the reform and opening up. According to the National Bureau of Statistics, China's urbanization level rose from 17.9% in 1978 to 52.6% in 2012, an increase of 34.7 percentage points, with an average annual increase of 1.0 percentage point...

AI Technical Summary

Problems solved by technology

Although the Harris corner detection algorithm is very accurate in locating corners and can detect a large number of corners inside residential areas, the disadvantage is that this method is very sensitive to textured areas, and it is easy to detect in some non-residential areas with rich textures. A large number of corner points are detected in the middle (such as forests, farmland, etc.)

Therefore, it is impractical to directly use the information provided by the Harris corners to infer the settlement area in the image

Images