期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：441-446
出版社：Copernicus Publications
摘要：High-resolution remote sensing images accelerate the development of information extraction and 3D city reconstruction. This paper concentrates on object-oriented methods to solve building extraction problems. With object-oriented methods, not only the spectral information but also the shape, contextual and semantic information can be used to extract objects. The object-oriented building extraction typically includes several steps: data pre-processing, multi-scale image segmentation, the definition of features used to extract buildings, building extraction, post-processing and accuracy evaluation. Among the features of buildings extraction, we consider the height of the buildings as the most useful information. In this paper DSM is used to extract high objects as trees and buildings; then the work of distinguishing trees and buildings will be applied. With the removal of trees, building information is extracted. We achieve this goal in the software package eCognition. The result shows that the method works well
关键词：building extraction; high resolution; segmentation; DSM; object-oriented; eCognition
