Object-oriented remote sensing image building and shade extraction method of remote sensing image building

Abstract

The invention relates to an object-oriented remote sensing image building and a shade extraction method of the remote sensing image building. The method comprises the following steps that the images are preprocessed; the multi-scale division is carried out, and an image scale layer corresponding to the optimum division size of a ground object is selected; non-buildings and non-shades (roads, water bodies, vegetation and bare land) are extracted, and images comprising buildings and the shade candidate object regions are obtained; shade primary extraction is carried out by using spectrum characteristics, the nearest classifier is adopted, a characteristic space is built by combining with the spectrum characteristics, the building primary extraction is carried out, and building potential region and a shade potential region are obtained; and buildings and shades of the buildings are obtained by adopting optimization processing methods of space characteristics, context relationship, smoothening and the like. The object-oriented remote sensing image building and the shade extraction method can effectively solve the problem of confusion among the buildings, the roads and the bare land as well as between the shades of the buildings and the water bodies, the extraction precision of the buildings and the shades of the buildings is high, the process flow is simple, and a certain practical value is realized in the work of basic data updating, urban planning, urban disaster prevention and reduction in the urban construction.

Description

technical field [0001] The invention relates to the field of remote sensing technology object information extraction, in particular to an object-oriented remote sensing image building and its shadow extraction method. Background technique [0002] Buildings are the main part of urban high-resolution remote sensing images, and the acquisition of buildings and their shadow information is of great significance for urban planning, urban disaster prevention and mitigation, and basic data update in urban construction. Remote sensing technology provides a new technical means for the extraction of buildings and their shadow information by virtue of its characteristics of large-area synchronous observation, high timeliness, and economy. With the wide application of high-resolution remote sensing images, the spectrum, shape, texture and other information of ground objects on the images are more obvious, which provides a rich data source for the identification of ground objects. In rec...

AI Technical Summary

Problems solved by technology

[0005] (2) Use the height information of buildings such as DSM, LIDAR, stereo image pair images and other height data to assist the extraction of buildings, but these data are often not easy to obtain, so they will be limited by data sources

[0008] In the process of extracting buildings, the previous object-oriented methods paid more attention to their spectral and spatial features, but less used their contextual features, and there were few methods for extracting buildings and their shadows at the same time. Although Zhou Yanan [Zhou Yanan, Shen Zhanfeng, Luo Jiancheng, Chen Qiuxiao, Hu Xiaodong, Shen Jinxiang, 2010. Object-oriented urban building extraction under the aid of shadows. Geography and Geographic Information Science, 37-40.] and [Zhou Xiaocheng, 2008.12. High-resolution satellite image building recognition method combined with object relationship features. Remote sensing of land and resources.], but the potential of contextual relations is still not fully exploited, especially for each object In order to effectively solve the "hole" phenomenon inside the building and its shadow and obtain a smoother edge, etc.

Images