Abstract
Due to economic growth and the development of urban modernization, the amount of construction waste is increasing year by year. The rapid identification of large-scale construction waste deposit is beneficial to improving urban planning and management capabilities. This article is based on the three-line array image stereo data of Resources satellite three to obtain DEM. At that time, Renzhuang Village in Pingdingshan was a test area. Based on the DEM elevation change information, the surface roughness coefficient of the structured surface was used as an irregular elevation texture feature, combined with the slope and aspect, to obtain the construction waste accumulation of other ground objects in the surrounding area. The overall recognition rate is 85.12%, and the Kappa coefficient is 0.70. It provides application value for the rapid identification of construction waste accumulation and its change information management and safety instability analysis.
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