IEEE Geoscience and Remote Sensing Magazine - March 2016 - 6

Fusion of
Remotely Sensed
Displacement
Measurements
Yajing Yan,
amaurY Dehecq,
emmanuel Trouvé,
gilles mauris,
noel gourmelen,
anD Flavien vernier

n
©photodisc

Current status
and challenges

owadays, data fusion constitutes the key subject in numerous applications of
remotely sensed displacement measurements, with the increasing availability of remote sensing data and the requirement of improving the measurement
accuracy. This article addresses the current status and challenges in the fusion
of remotely sensed displacement measurements. An overview is given to discuss
the remote sensing sources and techniques extensively used for displacement
measurement and the recent development and achievement of displacement
measurements fusion. The fusion between displacement measurements and the
integration of a geophysical model are discussed. The fusion strategies and
uncertainty propagation approaches are illustrated in two main applications: 1) the surface displacement measurements fusion to retrieve surface displacement with a reduced uncertainty in case of redundancy, with larger spatial
extension, or of a higher level in case of complementarity, and 2) the surface
displacement measurements fusion to estimate the geometrical parameters of
a physical deformation model in case of redundancy and complementarity. Finally, the current status and challenges of remotely sensed displacement measurements fusion are highlighted. Moreover, some potential ways to deal with
heterogeneous data types and to assimilate remote sensing data into physical
models to realize near-real-time displacement monitoring are proposed.

Digital Object Identifier 10.1109/MGRS.2016.2516278
Date of publication: 15 April 2016

6

0274-6638/16©2016IEEE

ieee Geoscience and remote sensinG maGazine

march 2016



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