Roof template matching in airborne LiDAR data

Cheng Kai Wang, Yi Hsing Tseng, Pai Hui Hsu

研究成果: Conference contribution

摘要

Three-Dimension building modeling improves the visualization and applications of a city environment. Model-driven methods set up pre-designed models first, and then match models with data to estimate model parameters. One of the main challenges in this context is to choose the pre-designed models automatically. To achieve this goal, roof template matching is one of the ways. For matching purpose, the unique features of each object needs to be extracted first and then used for recognition. This paper presents two methods for obtaining the features which are Geometric moments and Zernike moments. In this research, we compare and discuss the results using both of them. The experiments show the feasibility of the generated features to recognize different type roofs. The discussion also covers the existence of noises that affect the results of generated features.

原文English
主出版物標題30th Asian Conference on Remote Sensing 2009, ACRS 2009
頁面332-337
頁數6
出版狀態Published - 2009
事件30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
持續時間: 2009 十月 182009 十月 23

出版系列

名字30th Asian Conference on Remote Sensing 2009, ACRS 2009
1

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
國家/地區China
城市Beijing
期間09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

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