DocumentCode
1763219
Title
Template-Based Hierarchical Building Extraction
Author
Sellaouti, Aymen ; Hamouda, A. ; Deruyver, Aline ; Wemmert, Cedric
Author_Institution
Lab. of Comput. in Program., Algorithmic & Heuristic, Campus Univ. Tunis, Tunis, Tunisia
Volume
11
Issue
3
fYear
2014
fDate
41699
Firstpage
706
Lastpage
710
Abstract
Automatic building extraction is an important field of research in remote sensing. This letter introduces a new object-based building extraction approach. So far, many object-based algorithms for building extraction have been proposed. However, these algorithms mainly operate in two phases: object construction and building extraction. The majority of these algorithms heavily relies on the object construction process, mainly due to the lack of interaction between the two steps. To overcome these drawbacks, we introduce a new hierarchical approach based on building templates. Carried out experiments on data sets of images from the urban area of Strasbourg show the benefits of our approach.
Keywords
buildings (structures); feature extraction; geophysical image processing; object recognition; remote sensing; automatic building extraction; building template; hierarchical approach; object construction; remote sensing; template based hierarchical building extraction; Buildings; Data mining; Feature extraction; Image resolution; Image segmentation; Remote sensing; Shape; Building; cooperation; dynamic template; object-based;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2013.2276936
Filename
6587110
Link To Document