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：713-718
出版社：Copernicus Publications
摘要：This paper presents a new method for building detection and reconstruction from aerial images. In our approach, we extract the useful building location information from the generated disparity map to segment the interested objects and consequently reduce unnecessary line segments extracted in low level feature extraction step. Hypothesis selection is carried out by using undirected graph, in which close cycles represent complete rooftops hypotheses. By using undirected graph, hypothesis selection becomes a simple graph search for close cycles. This significantly improves the performance of the system over the traditional hypothesis selection methods. We test the proposed method with the synthetic images generated from Avenches dataset of Ascona aerial images. The experiment result shows that our method can be efficiently used for the task of building detection and reconstruction from aerial images
