Geomatics and Environmental Engineering,
Год журнала:
2023,
Номер
17(3), С. 29 - 59
Опубликована: Фев. 1, 2023
Unmanned
aerial
vehicles
(UAVs)
are
used
to
acquire
measurement
data
for
an
increasing
number
of
applications.
Photogrammetric
studies
based
on
UAV
data,
thanks
the
significant
development
computer
vision
techniques,
photogrammetry,
and
equipment
miniaturization,
allow
sufficient
accuracy
many
engineering
non-engineering
applications
be
achieved.
In
addition
accuracy,
time
cost
acquisition
processing
also
important
issues.
The
aim
this
paper
is
present
potential
limitations
in
use
UAVs
techniques
affecting
optimisation
work
both
terms
economy.
Issues
related
type
drones
(multi-rotor,
fixed-wing),
shutter
camera
(rolling
shutter,
global
),
calibration
method
(pre-calibration,
self-calibration),
georeferencing
(direct,
indirect),
technique
measuring
external
images
orientation
parameters
(RTK,
PPK,
PPP),
flight
design
methods
software
were
analysed.
Remote Sensing,
Год журнала:
2021,
Номер
13(7), С. 1336 - 1336
Опубликована: Март 31, 2021
Georeferencing
using
ground
control
points
(GCPs)
is
the
most
common
strategy
in
photogrammetry
modeling
unmanned
aerial
vehicle
(UAV)-acquired
imagery.
With
increased
availability
of
UAVs
with
onboard
global
navigation
satellite
system–real-time
kinematic
(GNSS
RTK),
georeferencing
without
GCPs
becoming
a
promising
alternative.
However,
systematic
elevation
error
remains
problem
this
technique.
We
aimed
to
analyze
reasons
for
and
propose
strategies
its
elimination.
Multiple
flights
differing
flight
altitude
image
acquisition
axis
were
performed
at
two
real-world
sites.
A
height
100
m
vertical
(nadiral)
was
considered
primary,
supplemented
altitudes
75
125
oblique
axes
(30°
15°).
Each
these
twice
produce
full
double
grid.
Models
reconstructed
from
individual
their
combinations.
The
or
even
combinations
yielded
errors
up
several
decimeters.
This
linearly
dependent
on
deviation
focal
length
reference
value.
combination
same
(with
nadiral
acquisition)
capable
reducing
less
than
0.03
m.
study
first
demonstrate
linear
dependence
between
models
based
only
GNSS
RTK
data
determined
internal
orientation
parameters
(focal
length).
In
addition,
we
have
shown
that
different
can
eliminate
conditions
is,
therefore,
feasible
alternative
use
GCPs.
International Journal of Coal Science & Technology,
Год журнала:
2023,
Номер
10(1)
Опубликована: Июнь 14, 2023
Abstract
Subsidence
data
acquisition
methods
are
crucial
to
mining
subsidence
research
and
an
essential
component
of
achieving
the
goal
environmentally
friendly
coal
mining.
The
origin
history
existing
field
monitoring,
calculation,
simulation
were
introduced.
It
summarized
analyzed
main
applications,
flaws
solutions,
improvements
these
methods.
Based
on
this
analysis,
future
developing
directions
prospected
suggested.
monitoring
have
evolved
from
conventional
ground
combined
involving
ground-based,
space-based,
air-based
measurements.
While
mature
in
technology
reliable
accuracy,
emerging
remote
sensing
technologies
obvious
advantages
terms
reducing
workload
increasing
coverage.
However,
require
further
technological
development
be
more
suitable
for
subsidence.
calculation
been
applied
various
geological
conditions,
many
already
made.
In
future,
attention
should
paid
unifying
studies
mechanical
principles.
quite
dependent
similarity
model
site
conditions
generally
used
as
auxiliary
source
studies.
cross-disciplinary
between
other
given
serious
consideration,
they
can
expected
lead
breakthroughs
areas
such
theories,
devices,
software,
aspects.
Remote Sensing,
Год журнала:
2021,
Номер
13(23), С. 4811 - 4811
Опубликована: Ноя. 27, 2021
Lately,
affordable
unmanned
aerial
vehicle
(UAV)-lidar
systems
have
started
to
appear
on
the
market,
highlighting
need
for
methods
facilitating
proper
verification
of
their
accuracy.
However,
dense
point
cloud
produced
by
such
makes
identification
individual
points
that
could
be
used
as
reference
difficult.
In
this
paper,
we
propose
a
method
utilizing
accurately
georeferenced
targets
covered
with
high-reflectivity
foil,
which
can
easily
extracted
from
cloud;
centers
determined
and
calculation
systematic
shift
lidar
cloud.
Subsequently,
is
cleaned
compared
SfM
cloud,
thus
yielding
residual
We
successfully
applied
evaluation
an
DJI
ZENMUSE
L1
scanner
mounted
UAV
Matrice
300
found
accuracies
system
(3.5
cm
in
all
directions
after
removal
global
georeferencing
error)
are
better
than
manufacturer-declared
values
(10/5
horizontal/vertical).
color
information
revealed
relatively
high
(approx.
0.2
m)
shift.
Journal of Aerospace Technology and Management,
Год журнала:
2021,
Номер
13
Опубликована: Янв. 1, 2021
Unmanned
vehicles/systems
(UVs/USs)
technology
has
exploded
in
recent
years.
vehicles
are
operated
the
air,
on
ground,
or
on/in
water.
play
a
more
significant
role
many
civil
application
domains,
such
as
remote
sensing,
surveillance,
precision
agriculture
and
rescue
operations
rather
than
manned
systems.
outperform
systems
terms
of
mission
safety
operational
costs.
aerial
(UAVs)
widely
utilized
infrastructure
because
their
low
maintenance
costs,
ease
deployment,
hovering
capability,
excellent
mobility.
The
UAVs
can
gather
photographs
faster
accurately
satellite
imagery,
allowing
for
prompt
assessment.
This
study
provides
comprehensive
overview
UAV
applications,
including
classification
requirements.
Also
encompassed
with
research
trends,
critical
challenges,
future
insights
how
artificial
intelligence
(smart
AI).
Furthermore,
this
paper
discusses
specifications
several
drone
models
simulators.
According
to
literature
review,
is
one
applications
smart
UAVs.
aid
detection
weeds,
crop
management,
identification
plant
diseases,
among
other
issues,
paving
path
researchers
create
future.
Applied Sciences,
Год журнала:
2023,
Номер
13(11), С. 6732 - 6732
Опубликована: Май 31, 2023
Using
Unmanned
Aerial
Vehicles
(UAVs)
combined
with
various
sensors
brings
the
benefits
associated
fast,
automatic,
and
contactless
spatial
data
collection
high
resolution
accuracy.
The
most
frequent
application
is
possibility
of
effectively
creating
models
based
on
photogrammetric
lidar
data.
This
review
analyzes
current
possibilities
UAVs.
It
provides
an
overview
state
art
research
selected
parameters
regarding
their
history
development,
classification,
regulation,
in
surveying
models.
Classification
regulation
are
national
sources.
importance
usability
this
also
carried
out
by
analyzing
UAV
sensors.
study
explores
discusses
results
achieved
many
authors
recent
years,
synthesizing
essential
facts.
By
network
co-occurring
High-Frequency
Words,
addition,
we
visualized
primary
keyword
context
other
keywords
literary
sources
processed.
Drones,
Год журнала:
2024,
Номер
8(5), С. 193 - 193
Опубликована: Май 12, 2024
This
review
paper
provides
insights
into
optimization
strategies
for
Unmanned
Aerial
Vehicles
(UAVs)
in
a
variety
of
surveillance
tasks
and
scenarios.
From
basic
path
planning
to
complex
mission
execution,
we
comprehensively
evaluate
the
multifaceted
role
UAVs
critical
areas
such
as
infrastructure
inspection,
security
surveillance,
environmental
monitoring,
archaeological
research,
mining
applications,
etc.
The
analyzes
detail
effectiveness
specific
tasks,
including
power
line
bridge
inspections,
search
rescue
operations,
police
activities,
monitoring.
focus
is
on
integration
advanced
navigation
algorithms
artificial
intelligence
technologies
with
UAV
challenges
operating
environments.
Looking
ahead,
this
predicts
trends
cooperative
networks
explores
potential
more
challenging
not
only
researchers
comprehensive
analysis
current
state
art,
but
also
highlights
future
research
directions,
aiming
engage
inspire
readers
further
explore
missions.
Technology in Society,
Год журнала:
2024,
Номер
78, С. 102648 - 102648
Опубликована: Июнь 27, 2024
The
manufacturing
sector
attributes
the
growing
prominence
of
Drones
and
Internet
(IoD)
systems
to
their
multifaceted
utility
in
delivery,
process
monitoring,
infrastructure
inspection,
inventory
management,
predictive
maintenance,
safety
inspections.
Despite
potential
benefits,
adopting
these
technologies
faces
significant
obstacles
that
need
systematic
identification
resolution.
current
literature
inadequately
addresses
barriers
impeding
adoption
IoD
manufacturing,
indicating
a
research
gap.
This
study
bridges
this
gap
by
providing
comprehensive
insights
facilitating
organisational
transition
towards
embracing
Drone
technologies.
identifies
20
critical
deploying
manufacturing.
These
are
validated
through
global
quantitative
survey
120
experts
analyzed
via
Exploratory
Factor
Analysis
(EFA).
EFA
categorises
challenges
into
six
distinct
dimensions.
Utilizing
Analytical
Hierarchy
Process
(AHP),
dimensions
individual
ranked,
incorporating
feedback
from
five
specialists.
highlights
'Safety
Human
Resource
Barriers'
'Payload
Capacity
Battery
as
most
predominant
obstacles.
Key
concerns
include
limited
battery
life,
explosion
risks,
damage
assets
individuals.
significantly
advances
existing
presenting
practical
methodology
for
categorising
prioritising
barriers.
Employing
AHP
offers
globally
relevant
framework
stakeholders
strategically
address
challenges,
advancing
integration
drones
domain.
Remote Sensing,
Год журнала:
2020,
Номер
12(21), С. 3535 - 3535
Опубликована: Окт. 28, 2020
The
mining
industry
has
been
operating
across
the
globe
for
millennia,
but
it
is
only
in
last
50
years
that
remote
sensing
technology
enabled
visualization,
mapping
and
assessment
of
impacts
landscape
recovery.
Our
review
published
literature
(1970–2019)
found
number
ecologically
focused
studies
conducted
on
mine
site
rehabilitation
increased
gradually,
with
greatest
proportion
2010–2019
period.
Early
were
driven
exclusively
by
Landsat
sensors
at
regional
scales
while
decade,
multiple
earth
observation
drone-based
a
diverse
range
study
locations
contributed
to
our
understanding
vegetation
development
post-mining.
Normalized
Differenced
Vegetation
Index
(NDVI)
was
most
common
index,
used
45%
papers;
research
employed
image
classification
techniques
typically
supervised
(48%)
manual
interpretation
methods
(37%).
Of
37
publications
error
assessments,
average
overall
accuracy
84%.
In
new
such
as
Geographic
Object-Based
Image
Analysis
(GEOBIA)
have
emerged
(10%
within
ten
years),
along
platforms
drones
(15%
years)
high
spatial
and/or
temporal
resolution
satellites.
We
monitoring
standards
recommended
International
Society
Ecological
Restoration
(SER)
determine
ecological
attributes
measured
each
study.
Most
(63%)
land
cover
(spatial
mosaic);
comparatively
fewer
addressed
complex
topics
ecosystem
function
resilience,
species
composition,
absence
threats,
which
are
commonly
focus
field-based
monitoring.
propose
agenda
based
identified
knowledge
gaps
tool
SER,
ensure
future
approaches
greater
perspectives,
i.e.,
terms
final
targets
end
land-use
goals.
particular,
given
key
requirement
self-sustainability,
demonstration
resilience
disturbance
climate
change
should
be
area
research.
Energies,
Год журнала:
2021,
Номер
14(13), С. 3725 - 3725
Опубликована: Июнь 22, 2021
The
possibility
of
the
application
an
unmanned
aerial
vehicle
(UAV)
in
search
and
rescue
activities
a
deep
underground
mine
has
been
investigated.
In
presented
case
study,
UAV
is
searching
for
lost
or
injured
human
who
able
to
call
help
but
not
move
use
any
communication
device.
A
capturing
acoustic
data
while
flying
through
corridors
used.
signal
very
noisy
since
during
flight
contributes
high-energetic
emission.
main
goal
paper
present
automatic
processing
procedure
detection
specific
sound
(supposed
contain
voice
activity)
presence
heavy,
time-varying
noise
from
UAV.
proposed
technique
based
on
time-frequency
representation
Euclidean
distance
measurement
between
reference
spectrum
(UAV
only)
captured
data.
As
both
“injured”
person
were
equipped
with
synchronized
microphones
experiment,
validation
performed.
Two
experiments
carried
out
lab
conditions,
as
well
one
mine,
provided
satisfactory
results.
