Detecting Buildings and Roof Segments by Combining LIDAR Data and Multispectral Images

Rottensteiner, Franz, Trinder, John, Clode, Simon and Kubik, Kurt (2003). Detecting Buildings and Roof Segments by Combining LIDAR Data and Multispectral Images. In: Image and Vision Computing New Zealand 2003, Massey University, Palmerston North. N.Z., (). 26-28 November, 2003.

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ICVNZ_submitted.pdf ICVNZ_submitted.pdf application/pdf 196.36KB 869
Author Rottensteiner, Franz
Trinder, John
Clode, Simon
Kubik, Kurt
Title of paper Detecting Buildings and Roof Segments by Combining LIDAR Data and Multispectral Images
Conference name Image and Vision Computing New Zealand 2003
Conference location Massey University, Palmerston North. N.Z.
Conference dates 26-28 November, 2003
Publication Year 2003
Sub-type Fully published paper
Open Access Status
Volume 1
Issue 1
Abstract/Summary A method for the automatic detection of buildings and their roof planes from LIDAR data and multispectral images is presented. For building detection, a classification technique is applied in a hierarchic way to overcome the problems encountered in areas of heterogeneous appearance of buildings. The detection of roof planes is based on a region growing algorithm applied to the LIDAR data, the seed regions detected by a grey-level segmentation of the multispectral images. We describe the algorithms involved, giving examples for a test site in Fairfield (Sydney).
Subjects 291003 Photogrammetry and Remote Sensing
Keyword LIDAR dataq
multispectral images
building detection
classification
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Tue, 01 Mar 2005, 10:00:00 EST by Simon P. Clode on behalf of Scholarly Communication and Digitisation Service