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http://dx.doi.org/10.7780/kjrs.2006.22.6.621

Building Height Extraction using Triangular Vector Structure from a Single High Resolution Satellite Image  

Kim, Hye-Jin (School of Civil, Urban & Geo-System Engineering, Seoul National University)
Han, Dong-Yeob (School of Civil, Urban & Geo-System Engineering, Seoul National University)
Kim, Yong-Il (School of Civil, Urban & Geo-System Engineering, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.22, no.6, 2006 , pp. 621-626 More about this Journal
Abstract
Today's commercial high resolution satellite imagery such as IKONOS and QuickBird, offers the potential to extract useful spatial information for geographical database construction and GIS applications. Extraction of 3D building information from high resolution satellite imagery is one of the most active research topics. There have been many previous works to extract 3D information based on stereo analysis, including sensor modelling. Practically, it is not easy to obtain stereo high resolution satellite images. On single image performance, most studies applied the roof-bottom points or shadow length extracted manually to sensor models with DEM. It is not suitable to apply these algorithms for dense buildings. We aim to extract 3D building information from a single satellite image in a simple and practical way. To measure as many buildings as possible, in this paper, we suggested a new way to extract building height by triangular vector structure that consists of a building bottom point, its corresponding roof point and a shadow end point. The proposed method could increase the number of measurable building, and decrease the digitizing error and the computation efficiency.
Keywords
Building height extraction; single image; High resolution satellite imagery; QuickBird; Triangular vector structure; GIS application;
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1 Madhavan, B. B. et al., 2004. Automatic extraction of shadow regions in high-resolution ADS40 images, International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 35(3): 808-810
2 Subramanian, K. S. S. et al., 2003. Create Digital City Models from a Single High-Resolution Satellite Image, Geo World, 16(4): 38-40
3 Croitoru, A. et al., 2004. Single and stereo based 3D metrology from high-resolution imagery: methodologies and accuracies, the XXth International Society for Photogrammetry and Remote Sensing (ISPRS) Congress, Istanbul, Turkey, DVD
4 Sarabandi P. et al., 2005. Infrastructure Inventory Compilation Using Single High Resolution Satellite Images, 3rd International Workshop on Remote Sensing Technologies and Disaster Response, Chiba University, Japan
5 Willneff, J. et al., 2005. Single-image high-resolution satellite data for 3D information extraction, High -Resolution Earth Imaging for Geospatial Information ISPRS workshop, Hannover, Germany
6 Jin, X. et al., 2005. Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information, EURASIP Journal on Signal Processing, 14: 2196-2206
7 이태윤, 2006. 단일 고해상도 위성영상으로부터 그림자를 이용한 3차원 건물정보 추출 연구, 석사학위논문, 인하대학교