Mountain landscape building extraction method and device based on high-resolution remote sensing image

Abstract

The invention discloses a mountain landscape building extraction method and device based on a high-resolution remote sensing image. The method comprises the following steps: segmenting a remote sensing image, and extracting a non-vegetation area in the remote sensing image by adopting NDVI; segmenting the non-vegetation area, and extracting a building area through the NDBI; segmenting the buildingarea again, and calculating the normalized shadow building index NSBI of each patch; calculating the NSBI discrimination of each patch in the non-vegetation area, setting a discrimination threshold,and extracting the landscape building area based on the threshold. By introducing the remote sensing image spectrum near-infrared band with significant difference between the shadow and the non-shadow, the influence of the large-area shadow area of the mountain shady area of the remote sensing image on the extraction result is reduced. By enlarging the NSBI relative difference value of the segmented landscape plaques and the peripheral plaques, the spectrum relative difference of a bright area landscape building, a shadow area landscape building and a shadow area is enlarged, the spectrum confusion probability is reduced, and the landscape building and the adjacent plaques can be obviously distinguished.

Description

technical field [0001] The invention belongs to the field of digital landscape site exploration, and in particular relates to a method and equipment for extracting mountain landscape buildings based on high-resolution remote sensing images. Background technique [0002] It is of great significance to obtain the building area and spatial distribution of scenic spots conveniently and accurately for the development of tourism resources, landscape evaluation of scenic spots, and management of existing building resources. Compared with traditional field surveys, remote sensing technology has irreplaceable advantages of high frequency, wide coverage, and low cost. It provides an important scientific dimension and quantitative analysis means for the development of contemporary digital landscapes, and at the same time improves the study of landscape characteristics from sensation to Perception, from qualitative to quantitative, has technical significance for improving the quantitati...

AI Technical Summary

Problems solved by technology

This method has certain advantages for landscape buildings with obvious rectangular shapes in a small area, but it relies on the rectangular shape features of buildings, and the process is cumbersome and the algorithm cost is high. not applicable

In addition, in the prior art, there are many studies on the microscopic level of the single building in the scenic area, and there is a lack of extraction and analysis of the relationship between th

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