Roof template matching in airborne LiDAR data

Cheng Kai Wang, Yi Hsing Tseng, Pai Hui Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages332-337
Number of pages6
Publication statusPublished - 2009
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume1

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Wang, C. K., Tseng, Y. H., & Hsu, P. H. (2009). Roof template matching in airborne LiDAR data. In 30th Asian Conference on Remote Sensing 2009, ACRS 2009 (pp. 332-337). (30th Asian Conference on Remote Sensing 2009, ACRS 2009; Vol. 1).