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Table 10.1
Change detection and monitoring targets
Impervious
surfaces and
man-made objects
Slum/
damaged
buildings
Land cover/
land use
Urban growth
Buildings
Boulila
et al. (
2011
)
Bagan and
Ya m a g a t a (
2012
)
Chini et al. (
2008
)
Benedek
et al. (
2012
)
Brunner
et al. (
2010
)
Chen et al. (
2012
)
Michishita
et al. (
2012
)
Leinenkugel
et al. (
2011
)
Bouziani
et al. (
2010
)
Dong and
Shan (
2013
)
Chen et al. (
2013
)
Shafizadeh-
Moghadam and
Helbich (
2013
)
Lu et al. (
2011a
)
Champion
et al. (
2010
)
Kit and
Lüdeke (
2013
)
Del Frate
et al. (
2008
)
Taubenböck
et al. (
2012
)
Weng (
2012
)
Crispell
et al. (
2012
)
Klonus
et al. (
2012
)
Deng
et al. (
2009a
)
Villa (
2012
)
Xian and
Homer (
2010
)
Doxani
et al. (
2012
)
Wang and
Jin (
2012
)
Dos Santos Silva
et al. (
2008
)
Zhang and
Seto (
2011
)
Hebel
et al. (
2013
)
Hansen
et al. (
2014
)
Du et al.
(
2012
)
He et al. (
2011a
)
Poulain
et al. (
2011
)
Hu and
Zhang (
2013
)
Tanej a
et al. (
2013
)
Lu et al. (
2011c
)
Tang
et al. (
2013
)
Schneider (
2012
)
Tian
et al. (
2013
)
Sexton
et al. (
2013
)
Sjahputera
et al. (
2011
)
Xian et al. (
2009
)
Zanotta and
Haertel (
2012
)
Zhang
et al. (
2013
)
The answer to the aforementioned questions indicates various parameters and
sorts significantly the required approaches and algorithms that should be employed.
Tab le
10.1
summarizes the recent research activity on change detection and
monitoring of urban environments according to the desired product and target that
each recent study has been focusing on. Land cover/land use, urbanization, imper-
vious surfaces and man-made objects, building, and slum or damaged buildings
compromise the five dominant categories.
These categories are not referring to different terrain objects but rather on a
hierarchical terrain object relation like in most model-based descriptions (ontolo-
gies, grammars,
etc.
). This categorization depicts both the different end-product
requirements like their spatial scale and the type of urban objects/terrain classes are
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