BUILDING DETECTION AND RECONSTRUCTION FROM AERIAL IMAGES

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.

关键词： Building Detection Reconstruction Aerial Image Feature

作者: Dong-Min Woo Quoc-Dat Nguyen Quang-Dung Nguyen Tran Dong-Chul Park Young-Kee Jung

作者单位: Dept.of Information Engineering, Myongji University, Gyeonggido, Korea Dept.of Computer Engineering, Monam University, -Kwangju, Korea

会议类型: 国际会议

会议名称: 第21届国际摄影测量与遥感大会(ISPRS 2008)

会议地点: 北京

会议语种:英文

页码: 3296-3301

在线出版日期: 2008-07-03（万方平台首次上网日期，不代表论文的发表时间）