Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2846
Title: Triangulated, connected sets for building detection from irregularly spaced LiDAR
Authors: Shorter, Nicholas S. 
Kasparis, Takis 
metadata.dc.contributor.other: Κασπαρής, Τάκης
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Issue Date: Mar-2008
Source: Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on. pp. 560 - 565
Conference: International Symposium on Communications, Control, and Signal Processing (ISCCSP) 
Abstract: A novel method for building detection from irregularly spaced Light Detection and Ranging (LiDAR) data is presented. Using features from the triangulation of the LiDAR data, the proposed method identifies ground points, and differentiates those points from building and non building points. Furthermore, the method differentiates the buildings from one another, subsequently recognizing each building as a unique entity. The primary objective in the design of the proposed algorithm is to completely automate the building detection process such that no user intervention (window or parameter adjustment, selection of control points, apriori knowledge dependency, etc.) is necessary.
URI: https://hdl.handle.net/20.500.14279/2846
ISBN: 9781424416875
DOI: 10.1109/ISCCSP.2008.4537288
Rights: © IEEE
Type: Conference Papers
Affiliation: University of Central Florida 
Affiliation : University of Central Florida 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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