Searched for: subject:"OA%5C%2Bfund%5C%2BTU%5C%2BDelft"
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Li, Y. (author), Yong, Bin (author), van Oosterom, P.J.M. (author), Lemmens, M.J.P.M. (author), Wu, Huayi (author), Ren, Liliang (author), Zheng, Mingxue (author), Zhou, Jiajun (author)
The capability of acquiring accurate and dense three-dimensional geospatial information that covers large survey areas rapidly enables airborne light detection and ranging (LiDAR) has become a powerful technology in numerous fields of geospatial applications and analysis. LiDAR data filtering is the first and essential step for digital elevation...
journal article 2017
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Biljecki, F. (author), Stoter, J.E. (author), Ledoux, H. (author), Zlatanova, S. (author), Coltekin, A. (author)
In the last decades, 3D city models appear to have been predominantly used for visualisation; however, today they are being increasingly employed in a number of domains and for a large range of tasks beyond visualisation. In this paper, we seek to understand and document the state of the art regarding the utilisation of 3D city models across...
journal article 2015
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Khoshelham, K. (author), Nardinocchi, C. (author), Frontoni, C. (author), Mancini, A. (author), Zingaretti, P. (author)
Automated approaches to building detection in multi-source aerial data are important in many applications, including map updating, city modeling, urban growth analysis and monitoring of informal settlements. This paper presents a comparative analysis of different methods for automated building detection in aerial images and laser data at...
journal article 2009