Recent Advances on 2D and 3D Change Detection in Urban Environments from Remote Sensing Data - Computational Approaches for Urban Environments - page 235

Table 10.3 Remote sensing data and recent change detection and monitoring research studies

Multimodal
data Optical satellite data 3D data Vector data Radar data

Medium to
high resolution
(LANDSAT,
etc. )

Very high
resolution
(IKONOS,
etc. )

ALS,
LiDAR,
DEM, DSM,

Geodatabase,
Cadastral, etc.

Satellite,
airborne

Optical,
radar,
DSM, etc.

Bagan and
Ya m a g a t a
( 2012 )

Bouziani
et al. ( 2010 )

Boehm
et al. ( 2013 )

Poulain
et al. ( 2011 )

Ahmad and
Amin ( 2013 )

Berger
et al. ( 2013 )

Deng et al.
( 2009a )

Doxani
et al. ( 2012 )

Champion
et al. ( 2010 )

Gonzalez-
Aguilera
et al. ( 2013 )

Aiazzi
et al. ( 2013 )

Bouziani
et al. ( 2010 )

Du et al.
( 2012 )

Du et al.
( 2013 )

Hebel
et al. ( 2013 )

Bouziani
et al. ( 2010 )

Bovolo
et al. ( 2013 )

Deng et al.
( 2009b )

Hansen
et al. ( 2014 )

Falco et al.
( 2013 )

James
et al. ( 2012 )

Tanej a
et al. ( 2013 )

Celik and Ma
( 2011 )

Desclee
et al. ( 2013 )

He et al.
( 2011a )

Hao et al.
( 2014 )

Sesnie
et al. ( 2008 )

Chatelain
et al. ( 2008 )

Leinenkugel
et al. ( 2011 )

Irons and
Loveland
( 2013 )

Im et al.
( 2007 )

Tian et al.
( 2013 )

Del Frate
et al. ( 2008 )

Longbotham
et al. ( 2012 )

Michishita
et al. ( 2012 )

Im et al.
( 2008 )

Giustarini
et al. ( 2013 )

Lu et al.
( 2011a )

Shafizadeh-
Moghadam
and Helbich
( 2013 )

Kit and
Lüdeke
( 2013 )

Gong
et al. ( 2012 )

Lu et al.
( 2008 )

Schneider
( 2012 )

Ma et al.
( 2012 )

Poulain
et al. ( 2011 )

Sexton
et al. ( 2013 )

Vo l p i
et al. ( 2013 )

Marino
et al. ( 2013 )

Taubenböck
et al. ( 2012 )

Taubenböck
et al. ( 2012 )
and Tian
et al. ( 2013 )

Liu et al.
( 2012 )

Moser and
Serpico
( 2009 )

Wulder
et al. ( 2008 )

Villa et al.
( 2012 )

Pratola
et al. ( 2013 )

Xian and
Homer ( 2010 )

Wang
et al. ( 2013 )

Zhang et al.
( 2013 )

Yousif and
Ban ( 2013 )

are still a number of challenges that should be addressed (Villa et al. 2012 )in
order to exploit raw big remote sensing data and transform them to big geospatial
reflectance surfaces. The most important is automation. In the following two
subsections, the main preprocessing procedures are briefly described and discussed.
It should be noted that for Landsat datasets, certain protocols have been proposed