Title
Building types' classification using shape-based features and linear discriminant functions
Abstract
In this paper, the applicability and performance of linear discriminant analysis (LDA) for building types' classification are investigated. Building models at a level of detail 1 (LoD1) are derived from real estate cadastral building footprints and digital surface models from stereoscopic airborne images. In several experiments for two cities in Germany (Berlin and Munich), we first evaluate the d...
Year
DOI
Venue
2016
10.1109/JSTARS.2015.2465131
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Buildings,Approximation methods,Remote sensing,Cities and towns,Atmospheric modeling,Data models,Shape
Data modeling,Data mining,Remote sensing,Perimeter,Artificial intelligence,Computer vision,Kappa,Level of detail,Stereoscopy,Linear discriminant analysis,Linear classifier,Sample size determination,Mathematics
Journal
Volume
Issue
ISSN
9
5
1939-1404
Citations 
PageRank 
References 
8
0.56
16
Authors
3
Name
Order
Citations
PageRank
Michael Wurm112019.76
Andreas Schmitt2577.20
Hannes Taubenböck315028.27