Title
Triangulated, Connected Sets For Building Detection From Irregularly Spaced Lidar
Keywords
Building detection; Connected sets; LiDAR; Triangulation
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. ©2008 IEEE.
Publication Date
9-5-2008
Publication Title
2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008
Number of Pages
560-565
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ISCCSP.2008.4537288
Copyright Status
Unknown
Socpus ID
50649088587 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/50649088587
STARS Citation
Shorter, Nicholas and Kasparis, Takis, "Triangulated, Connected Sets For Building Detection From Irregularly Spaced Lidar" (2008). Scopus Export 2000s. 10292.
https://stars.library.ucf.edu/scopus2000/10292