High-resolution image-based road region building change extraction method

Abstract

The invention relates to a high-spatial resolution remote sensing image-based road region building change extraction method and device. According to the method and device, an object-oriented image processing strategy is adopted, the spectral information and spatial information (including structural indexes and spatial relationships) of images are comprehensively utilized, and a single-class classification method is adopted. In order to avoid interference (spectral similarity) on extracted results caused by ground feature classes except road regions, it is required that existing road information such as an existing road vector diagram, is provided in advance; the existing road vector diagram is adopted to extract a road region range; and newly increased buildings are extracted within the road region range. With the high-spatial resolution remote sensing image-based road area building change extraction method and device provided by the invention, time for a traditional method to obtain newly increased buildings such as illegal buildings by using image visual interpretation can be greatly decreased, efficiency can be improved, and human resources can be saved. The method and device can be used for road maintenance and monitoring business operation systems.

Description

technical field [0001] The invention provides a method and device for extracting changes of buildings in road area based on high spatial resolution remote sensing images, in particular to an automatic / semi-automatic extraction of newly added buildings on both sides of a road, belonging to the field of traffic remote sensing. Background technique [0002] It is of great significance to maintain the road environment, road conditions and road traffic safety to conduct timely and accurate monitoring of the road area of ​​major traffic roads such as national roads and provincial roads. According to relevant laws and regulations, construction and development are prohibited in the road area and adjacent areas. Illegal buildings seriously affect the road traffic environment and traffic safety. Some illegal constructions found so far include construction without a construction project planning permit, or construction exceeding the standard; construction materials are mostly simple a...

AI Technical Summary

Problems solved by technology

Most of the existing related research focuses on the use of high-resolution images to detect various disasters (such as geological disasters, floods), information extraction of road damage, road area ecological environment evaluation, road information update, etc. (Chen Shirong et al., 2008; Wu Xuesen et al., 2011), and traditional change detection methods are mostly used, mainly relying on the spectral characteristics of images and related models (Xu Yang et al., 2011; Chen Shirong et al., 2008; Ren Yuhuan et al., 2013), but did not fully consider the high The complexity of spatial resolution images and spectral features of road objects

Some foreign scholars have carried out in-depth research on the spectral characteristics of road materials, and used them in the road extraction experiment of aerial hyperspectral images (Herold et al., 2003), but they have not been applied to actual high spatial resolution images and road change detection

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