LatIA,
Journal Year:
2025,
Volume and Issue:
3, P. 80 - 80
Published: Feb. 19, 2025
The
increasing
complexity
of
global
air
traffic
management
requires
innovative
surveillance
solutions
beyond
traditional
radar.
This
chapter
explores
the
integration
artificial
intelligence
(AI)
and
machine
learning
(ML)
in
satellite
imagery
processing
for
enhanced
surveillance.
proposed
AI
framework
utilizes
remote
sensing,
computer
vision
algorithms,
geo-stamped
aircraft
data
to
improve
real-time
detection
classification.
It
addresses
limitations
conventional
systems,
particularly
areas
lacking
radar
coverage.
study
outlines
a
three-phase
approach:
extracting
coverage
from
imagery,
labeling
with
locations,
applying
deep
models
YOLO
Faster
R-CNN
distinguish
other
objects
high
accuracy.
Experimental
trials
demonstrate
AI-enhanced
monitoring's
feasibility,
achieving
improved
high-traffic
zones.
system
enhances
situational
awareness,
optimizes
flight
planning,
reduces
airspace
congestion,
strengthens
security.
also
aids
disaster
response
by
enabling
rapid
search-and-rescue
missions.
Challenges
like
adverse
weather
nighttime
monitoring
remain,
requiring
infrared
sensors
radar-based
techniques.
By
combining
big
analytics,
cloud
computing,
monitoring,
offers
scalable,
cost-effective
solution
future
management.
Future
research
will
refine
expand
predictive
analytics
autonomous
surveillance,
revolutionizing
aviation
safety
operational
intelligence.
Science Advances,
Journal Year:
2022,
Volume and Issue:
8(13)
Published: April 1, 2022
Coastal
flooding
prevention
measures,
such
as
storm-surge
barriers,
are
being
widely
adopted
globally
because
of
the
accelerating
rise
in
sea
levels.
However,
their
impacts
on
morphodynamics
shallow
tidal
embayments
remain
poorly
understood.
Here,
we
combine
field
data
and
modeling
results
from
microtidal
Venice
Lagoon
(Italy)
to
identify
short-
long-term
consequences
flood
regulation
lagoonal
landforms.
Artificial
reduction
water
levels
enhances
wave-induced
sediment
resuspension
flats,
promoting
in-channel
deposition,
at
expense
salt
marsh
vertical
accretion.
In
Venice,
estimate
that
first
15
closures
recently
installed
mobile
floodgates
operated
between
October
2020
January
2021
contributed
a
12%
simultaneously
generalized
channel
infilling.
Therefore,
suitable
countermeasures
need
be
taken
offset
these
processes
prevent
significant
losses
geomorphic
diversity
due
repeated
floodgate
closures,
whose
frequency
will
increase
further.
LatIA,
Journal Year:
2025,
Volume and Issue:
3, P. 80 - 80
Published: Feb. 19, 2025
The
increasing
complexity
of
global
air
traffic
management
requires
innovative
surveillance
solutions
beyond
traditional
radar.
This
chapter
explores
the
integration
artificial
intelligence
(AI)
and
machine
learning
(ML)
in
satellite
imagery
processing
for
enhanced
surveillance.
proposed
AI
framework
utilizes
remote
sensing,
computer
vision
algorithms,
geo-stamped
aircraft
data
to
improve
real-time
detection
classification.
It
addresses
limitations
conventional
systems,
particularly
areas
lacking
radar
coverage.
study
outlines
a
three-phase
approach:
extracting
coverage
from
imagery,
labeling
with
locations,
applying
deep
models
YOLO
Faster
R-CNN
distinguish
other
objects
high
accuracy.
Experimental
trials
demonstrate
AI-enhanced
monitoring's
feasibility,
achieving
improved
high-traffic
zones.
system
enhances
situational
awareness,
optimizes
flight
planning,
reduces
airspace
congestion,
strengthens
security.
also
aids
disaster
response
by
enabling
rapid
search-and-rescue
missions.
Challenges
like
adverse
weather
nighttime
monitoring
remain,
requiring
infrared
sensors
radar-based
techniques.
By
combining
big
analytics,
cloud
computing,
monitoring,
offers
scalable,
cost-effective
solution
future
management.
Future
research
will
refine
expand
predictive
analytics
autonomous
surveillance,
revolutionizing
aviation
safety
operational
intelligence.
