InSAR-YOLOv8 for wide-area landslide detection in InSAR measurements
Ruopu Ma,
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Haiyang Yu,
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Xuejie Liu
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et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 10, 2025
InSAR
monitoring
technology
is
widely
used
in
investigating
landslide
hazards.
Leveraging
object
detection
algorithms
to
quickly
extract
information
from
Wide-Area
measurements
of
great
significance.
Our
InSAR-YOLOv8,
an
algorithm
that
automatically
detects
landslides
measurements,
addresses
the
low
accuracy
and
suboptimal
performance
existing
network
models.
In
this
method,
we
first
design
add
a
head
specifically
targeting
small-scale
objects.
This
improvement
enhances
model's
ability
features
across
different
scales
strengthens
its
capability
detect
varying
sizes.
We
also
replace
original
C2f
module
with
lighter
C2f_Faster
process
more
efficiently,
making
model
efficient.
Finally,
SIoU
loss
function
replaces
CIoU
improve
bounding
box
regression
enhance
accuracy.
results
show
proposed
achieves
97.41%
mAP50,
66.47%
mAP50:95,
92.06%
F1
score
on
dataset,
while
reducing
number
parameters
by
25%.
Compared
YOLOv8
other
advanced
models
(YOLOvX,
Faster
R-CNN,
etc.),
our
exhibits
distinct
advantages
possesses
wider
range
potential
applications
measurement
for
detection.
Language: Английский
Early Identification of Geological Hazards Along the Power Transmission Line in Weinan Based on SBAS-InSAR
Bo Shan,
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Jianguo Qi,
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Wei Tian
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et al.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 920 - 920
Published: Jan. 18, 2025
Landslides
and
ground
subsidence
pose
significant
threats
to
the
successful
construction
operation
of
transmission
line
projects
in
Loess
Plateau
region.
This
study
aims
explore
an
accurate
early
identification
method
for
geological
hazards,
providing
support
smooth
project
along
route
from
Baishui
County,
Weinan
City,
Shaanxi
Province
Lantian
Xi’an
Province.
Small
baseline
subset
interferometric
synthetic
aperture
radar
(SBAS-InSAR)
technology
was
used
acquire
surface
deformation
data
area
4
February
2018
21
May
2023.
The
were
spatially
analyzed
through
kernel
density
analysis,
which
quickly
intuitively
identified
52
potential
hazard
points
region,
including
eight
landslides
44
subsidence.
Detailed
field
investigations
hazards
confirmed
accuracy
results.
A
thorough
analysis
typical
such
as
landslide
No.
9
29,
revealed
severe
deformation,
posing
a
threat
proposed
project.
indicates
that
combining
InSAR,
can
accurately
identify
around
lines,
site
selection
implementation
projects.
Language: Английский
Dynamic response and damage evolution characteristics of uniform rocky slopes with unstable rock masses based on shaking table tests
Frontiers in Earth Science,
Journal Year:
2025,
Volume and Issue:
13
Published: March 12, 2025
Seismic
activities
often
trigger
catastrophic
events
including
collapses
and
rockfalls
on
rocky
slopes.
This
research
endeavors
to
understand
the
dynamic
behavior
damage
modes
in
uniform
slopes
with
unstable
rock
masses.
To
achieve
this
objective,
paper
constructs
a
physical
model
of
slope
mass
performs
triaxial
loading
shaking
table
tests.
Subsequently,
seismo-dynamic
responses
associated
are
scrutinized,
initiation
deformation
mechanisms
hazardous
revealed.
Further,
we
obtained
marginal
spectral
energy
evolution
characteristics
measurement
points
both
bedrock.
deciphers
weak
structural
plane.
The
results
indicate
that
there
distinct
elevation
surface
amplification
effects
within
slopes,
which
systematically
lessened
increasing
seismic
intensity.
vertical
is
more
sensitive
high
seismic-induced
process
masses
split
into
three
stages:
trailing
edge
tension
cracking,
sliding
planes,
complete
failure
plane
shear
capacity.
It
also
established
Hilbert
spectra
effectively
identified
containing
planes.
Language: Английский
InSAR-based monitoring and analysis of settlement in high-filled road embankment and slope in loess region
Limin Wang,
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Shaoqiang Chai,
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Liang Sun
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et al.
Frontiers in Earth Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 28, 2025
The
settlement
behavior
of
high-filled
road
embankments
and
slopes
in
loess
regions
poses
significant
challenges
to
the
safety
stability
engineering.
Interferometric
Synthetic
Aperture
Radar
(InSAR)
technique
was
used
process
Sentinel-1A
satellite
data
from
8
April
2021,
9
May
2022.
spatiotemporal
distribution
characteristics
surface
were
analyzed.
accuracy
reliability
InSAR
technology
results
validated
through
comparison
with
actual
measurement
data,
after
completion
pavement
further
investigated.
Results
indicate
that
most
severe
occurred
during
early
post-construction
phase,
maximum
rates
reaching
32
mm/year
cumulative
peaking
at
57
mm.
These
critical
zones
located
intersection
embankment
slope
south
side
slope.
Following
pavement,
stabilized
within
3
mm,
indicating
structural
road.
finite
element
numerical
simulation
showed
factor
1.39,
satisfying
limit
requirements
for
slopes.
study
demonstrated
can
provide
an
effective
technical
means
identification
engineering
hazard
risks
regions,
offering
a
basis
monitoring,
warning,
scientific
prevention.
Language: Английский