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Title: Triangulated, connected sets for building detection from irregularly spaced LiDAR
Authors: Shorter, Nicholas S.
Kasparis, Takis
Issue Date: 2008
Publisher: IEEE
Citation: Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on. pp. 560 - 565
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.
Type: Conference Papers
ISBN: 9781424416875
Affiliation: University of Central Florida
Appears in Collections:Δημοσιεύσεις σε συνέδρια

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