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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