IEEE Geoscience and Remote Sensing Magazine - June 2021 - 10
Artificial
Intelligence
in Interferometric
Synthetic
Aperture
Radar Phase
Unwrapping
A review
LIFAN ZHOU, HANWEN YU, YANG LAN,
AND MENGDAO XING
I
nterferometric synthetic aperture radar (InSAR) is a radar
technique widely used in geodesy and remote sensing applications,
e.g., topography reconstruction and subsidence
estimation. Phase unwrapping (PU) is one of the key procedures
of InSAR signal processing. Artificial intelligence (AI)
techniques have proven to be potentially powerful in many
fields and have been introduced into the PU domain, achieving
superior performance. In this article, we provide a comprehensive
overview of AI-based PU techniques in InSAR.
We survey the AI-based single-baseline (SB) PU methods and
then review the AI techniques related to multibaseline (MB)
PU. In addition, we show several experimental examples of
these methods, from both simulated and real InSAR data sets,
which gives readers an overview of AI-based PU processing's
potential and limitations. It is our hope that this article will
provide researchers with guidelines and inspiration to further
enhance the development of AI-based PU.
THE RELATIONSHIP BETWEEN PU AND INSAR
InSAR is a powerful remote sensing technology that has developed
significantly during the past three decades. Most
Digital Object Identifier 10.1109/MGRS.2021.3065811
Date of current version: 21 April 2021
10
0274-6638/21©2021IEEE
FIGURE 1. The geometry of InSAR.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE JUNE 2021
of the InSAR-based technologies have been widely used
in geophysical applications, e.g., digital elevation model
(DEM) reconstruction and deformation estimation [1]-[3].
Figure 1 depicts the geometry of InSAR. From Figure 1, it
can be seen that the signals of absolute phase changes measured
from antenna positions P1 and P2 are related to the
terrain height or surface deformation. Based on the InSAR
P2
P1
θ
r(s)
h (s)
d(s)
B
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http://www.SHUTTERSTOCK.COM/RAMCREATIONS
IEEE Geoscience and Remote Sensing Magazine - June 2021
Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - June 2021
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