IEEE Geoscience and Remote Sensing Magazine - June 2020 - 42

Interferometric Baseline Varying Through Time
Pass 1

Pass 2

Pass N

T0 + (N - 1) ∆T

T0 + ∆T

γ1

γN

γ2

Coherence Vector
(N × 1)

γ=

γ2

TomoSAR
Processing

Height (z)

γ1

P (z )

γN

Backscattered Power
Distributions

dB/m

FIGURE 9. The tandem-like acquisition configuration and tomographic processing.

potential solution for the 3D imaging of natural environments from space. The main difference among the classical,
repeat-pass, and correlation tomographic modes relates to
the constraint they impose on the duration of the acquisition of the tomographic stack of SAR images. In the repeatpass tomographic mode, this duration should be inferior
to the correlation time of the SAR signal, that is, the time
lag during which speckled responses remain correlated. In
a correlation-tomography configuration, the duration compares to the time after which scene's mean reflectivity cannot be considered as stationary.
ACKNOWLEDGMENT
The authors wish to thank Dr. Marco Lavalle of the NASA
Jet Propulsion Laboratory, Pasadena, California, for providing the UAVSAR tomograms included in this article.
AUTHOR INFORMATION
Hossein Aghababaei (aghababaee@uniparthenope.it) received his M.Sc. and Ph.D. degrees in remote sensing in
2011 and 2017, respectively. From 2017 to 2019, he was employed as a research fellow at the Department of Engineering, Università di Napoli Parthenope, Italy. Currently, he
is an assistant professor with the University of Twente, Faculty of Geo-Information Science and Earth Observation,
Department of Earth Observation Science Enschede, The
Netherlands. His main research interests are in syntheticaperture radar (SAR) tomographic, target scattering decomposition, and polarimetric SAR processing for multidimensional geophysical information extraction. He is a Member
of the IEEE.
42

Giampaolo Ferraioli (giampaolo.ferraioli@uniparthe
nope.it) received his B.S. and M.S. degrees and his Ph.D. degree in telecommunication engineering from the Università
degli Studi di Napoli Parthenope, Italy, in 2003, 2005, and
2008, respectively. Currently, he is an assistant professor
with the Università degli Studi di Napoli Parthenope. His
main research interests include statistical signal and image
processing, radar systems, synthetic aperture radar interferometry, image restoration, and magnetic resonance imaging. In 2009, he won the IEEE 2009 Best European Ph.D.
Thesis in Remote Sensing Prize, sponsored by the IEEE Geoscience and Remote Sensing Society. He serves as an associate editor of IEEE Geoscience and Remote Sensing Letters, and
he is on the editorial boards of IEEE Geoscience and Remote
Sensing Letters and MDPI's Remote Sensing. He is member
of the technical liaison committee for IEEE Transactions on
Computational Imaging. He is a Senior Member of the IEEE.
Laurent Ferro-Famil (laurent.ferro-famil@univ-rennes1
.fr) received his laurea degree in electronics systems and
computer engineering and his M.S. and Ph.D. degrees in
electronics from the University of Nantes, France, in 1996,
1996, and 2000, respectively. He has been a full professor
with the University of Rennes 1, France, since 2011, where
he was an associate professor in 2001 and is currently the
head of the Remote Sensing Department, Institute of Electronics and Telecommunications of Rennes. His current activities in education are concerned with analog electronics,
digital communications, microwave theory, signal processing, and polarimetric synthetic-aperture radar (SAR) remote sensing. His current research interests include polarimetric SAR signal statistical processing, radar polarimetry
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

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IEEE Geoscience and Remote Sensing Magazine - June 2020

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