Lidar-based change detection and change-type determination in urban areas

Tee-Ann Teo*, Tian-Yuan Shih

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Scopus citations


Change detection of objects, such as buildings, is essential for map updating. Traditionally, detection is usually performed through spectral analysis of multi-temporal images. This article proposes a method that employs multi-temporal interpolated lidar data. The objective of this study is to perform change detection and change-type determination via geometric analysis. A shape difference map is generated between the digital surface models in two different time periods. The areas with small shape differences are treated as non-changed areas and are excluded from the segmentation. The object's properties are then applied to determine the change types. Experimental results demonstrate that the proposed scheme achieves accuracy as high as 80%. Most of the errors from this study occurred in small or vegetation areas.

Original languageEnglish
Pages (from-to)968-981
Number of pages14
JournalInternational Journal of Remote Sensing
Issue number3
StatePublished - Feb 2013


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