標題: Lidar-based change detection and change-type determination in urban areas
作者: Teo, Tee-Ann
Shih, Tian-Yuan
土木工程學系
生物科技學系
Department of Civil Engineering
Department of Biological Science and Technology
公開日期: 2013
摘要: 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.
URI: http://hdl.handle.net/11536/20387
http://dx.doi.org/10.1080/01431161.2012.714504
ISSN: 0143-1161
DOI: 10.1080/01431161.2012.714504
期刊: INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume: 34
Issue: 3
起始頁: 968
結束頁: 981
顯示於類別:期刊論文


文件中的檔案:

  1. 000309710900014.pdf