Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning
Biomimetics,
Год журнала:
2025,
Номер
10(1), С. 31 - 31
Опубликована: Янв. 6, 2025
In
recent
years,
unmanned
aerial
vehicle
(UAV)
technology
has
advanced
significantly,
enabling
its
widespread
use
in
critical
applications
such
as
surveillance,
search
and
rescue,
environmental
monitoring.
However,
planning
reliable,
safe,
economical
paths
for
UAVs
real-world
environments
remains
a
significant
challenge.
this
paper,
we
propose
multi-strategy
improved
red-tailed
hawk
(IRTH)
algorithm
UAV
path
real
environments.
First,
enhance
the
quality
of
initial
population
by
using
stochastic
reverse
learning
strategy
based
on
Bernoulli
mapping.
Then,
is
further
through
dynamic
position
update
optimization
mean
fusion,
which
enhances
exploration
capabilities
helps
it
explore
promising
solution
spaces
more
effectively.
Additionally,
proposed
an
method
frontier
updates
trust
domain,
better
balances
exploitation.
To
evaluate
effectiveness
algorithm,
compare
with
11
other
algorithms
IEEE
CEC2017
test
set
perform
statistical
analysis
to
assess
differences.
The
experimental
results
demonstrate
that
IRTH
yields
competitive
performance.
Finally,
validate
applicability
scenarios,
apply
path-planning
problem
practical
environments,
achieving
successfully
performing
UAVs.
Язык: Английский
Improving the Accuracy of Forest Structure Analysis by Consumer-Grade UAV Photogrammetry Through an Innovative Approach to Mitigate Lens Distortion Effects
Remote Sensing,
Год журнала:
2025,
Номер
17(3), С. 383 - 383
Опубликована: Янв. 23, 2025
The
generation
of
aerial
and
unmanned
vehicle
(UAV)-based
3D
point
clouds
in
forests
their
subsequent
structural
analysis,
including
tree
delineation
modeling,
pose
multiple
technical
challenges
that
are
partly
raised
by
the
calibration
non-metric
cameras
mounted
on
UAVs.
We
present
a
novel
method
to
deal
with
this
problem
for
forest
structure
analysis
photogrammetric
particularly
areas
complex
textures
varying
levels
canopy
cover.
Our
proposed
selects
various
subsets
camera’s
interior
orientation
parameters
(IOPs),
generates
dense
cloud
each,
then
synthesizes
these
models
form
combined
model.
hypothesize
model
can
provide
superior
representation
than
calibrated
an
optimal
subset
IOPs
alone.
effectiveness
our
methodology
was
evaluated
sites
across
semi-arid
ecosystem,
known
diverse
crown
structures
varied
density
due
traditional
pruning
as
pollarding.
results
demonstrate
enhanced
outperformed
standard
23%
37%
both
site-
tree-based
metrics,
respectively,
therefore
be
suggested
further
applications
based
consumer-grade
UAV
data.
Язык: Английский
UAV Photogrammetric Surveys for Trees’ Height Estimation
Опубликована: Фев. 5, 2024
In
the
context
of
precision
agriculture
(PA),
geomatic
surveys
exploiting
UAV
platforms
allow
trees’
dimensional
characterization
and
crown
identification.
This
paper
focuses
on
use
low-cost
photogrammetry
to
estimate
height,
as
part
a
project
for
phytoremediation
contaminated
soils.
Two
study
areas
(Area
1;
Area
2)
have
been
chosen,
having
different
characteristics
in
terms
mean
height
(5
m;
0.7
m),
test
procedure
even
challenging
context.
Three
campaigns
performed
1
at
altitudes
(30
m,
40
50
one
flight
is
available
2
(42
m
altitude).
The
implemented
workflow
involves
elaboration
point
clouds
DSMs
using
standard
SfM
approach,
vegetation
filtering,
generation
DTM
GIS-based
analysis
obtain
CHMs
extraction
heights
based
local
maxima
approach.
UAV-derived
compared
with
in-field
measurements
obtaining
promising
results
1,
confirming
applicability
extraction,
while
application
low
trees
was
more
problematic.
Язык: Английский
Development of a Drone-Based Phenotyping System for European Pear Rust (Gymnosporangium sabinae) in Orchards
Agronomy,
Год журнала:
2024,
Номер
14(11), С. 2643 - 2643
Опубликована: Ноя. 9, 2024
Computer
vision
techniques
offer
promising
tools
for
disease
detection
in
orchards
and
can
enable
effective
phenotyping
the
selection
of
resistant
cultivars
breeding
programmes
research.
In
this
study,
a
digital
system
monitoring
was
developed
using
drones,
object
photogrammetry,
focusing
on
European
pear
rust
(Gymnosporangium
sabinae)
as
model
pathogen.
High-resolution
RGB
images
from
ten
low-altitude
drone
flights
were
collected
2021,
2022
2023.
A
total
16,251
annotations
leaves
with
symptoms
created
584
Vision
Annotation
Tool
(CVAT).
The
YOLO
algorithm
used
automatic
symptoms.
novel
photogrammetric
approach
Agisoft’s
Metashape
Professional
software
ensured
accurate
localisation
geographic
information
QGIS
calculated
infestation
intensity
per
tree
based
canopy
areas.
This
drone-based
shows
results
could
considerably
simplify
tasks
involved
fruit
Язык: Английский
Bridging Disciplines with Photogrammetry: A Coastal Exploration Approach for 3D Mapping and Underwater Positioning
Remote Sensing,
Год журнала:
2024,
Номер
17(1), С. 73 - 73
Опубликована: Дек. 28, 2024
Conventional
methodologies
often
struggle
in
accurately
positioning
underwater
habitats
and
elucidating
the
complex
interactions
between
terrestrial
aquatic
environments.
This
study
proposes
an
innovative
methodology
to
bridge
gap
these
domains,
enabling
integrated
3D
mapping
positioning.
The
method
integrates
UAV
(Uncrewed
Aerial
Vehicles)
photogrammetry
for
areas
with
performed
by
a
snorkeler.
aspect
of
proposed
approach
relies
on
detecting
snorkeler
positions
orthorectified
images
as
alternative
use
GNSS
(Global
Navigation
Satellite
System)
positioning,
thanks
image
processing
tool.
Underwater
camera
are
estimated
through
precise
time
synchronization
frames,
producing
georeferenced
model
that
seamlessly
joins
submerged
landscapes.
facilitates
understanding
spatial
context
objects
seabed
presents
cost-effective
comprehensive
tool
coastal
mapping,
useful
management
support
resilience.
Язык: Английский