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» Extracting general-purpose features from LIDAR data
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3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
13 years 11 months ago
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are ofte...
Oliver Wang, Suresh K. Lodha, David P. Helmbold
3DIM
2007
IEEE
13 years 9 months ago
Aerial Lidar Data Classification using AdaBoost
We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four categories: road, grass, buildings, and trees. To do so we use five features: height, hei...
Suresh K. Lodha, Darren N. Fitzpatrick, David P. H...
HIS
2003
13 years 6 months ago
Data Mining of Web Access Logs From an Academic Web Site
We have used a general purpose data mining tool to determine whether we can find any ‘golden nuggets’ in the web access logs of a large academic web site. Our goal was to use...
Victor Ciesielski, A. Lalani
CVPR
2008
IEEE
14 years 7 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor