Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph
Remote Sensing,
Год журнала:
2025,
Номер
17(6), С. 973 - 973
Опубликована: Март 10, 2025
The
enhancement
of
remote
sensing
interpretation
accuracy
for
rock
strata
in
complex
terrain
areas
has
long
been
limited
by
challenges
field
validation
and
the
insufficient
integration
geological
knowledge
traditional
spectral–spatial
feature
selection
methods.
This
study
proposes
a
framework
that
integrates
textual
data,
which
enhances
lithological
identification
systematically
combining
multi-source
with
machine
learning
algorithms.
Using
dataset
2591
survey
reports
scientific
literature,
ontology
model
was
established,
featuring
four
core
entities
(rock
type,
stratigraphic
unit,
spectral
feature,
geomorphological
indicator).
A
hybrid
information
extraction
process
rule-based
parsing
fine-tuned
Universal
Information
Extraction
(UIE)
employed
to
extract
from
unstructured
texts.
graph
constructed
using
TransE
algorithm
consists
766
entity
nodes
1008
relationships,
enabling
quantitative
evaluation
correlations
based
on
semantic
similarity.
When
combined
Landsat
multispectral
data
digital
elevation
(DEM)-derived
parameters,
knowledge-enhanced
Random
Forest
(81.79%)
Support
Vector
Machine
(75.76%)
models
demonstrated
excellent
performance
identifying
rock-stratigraphic
assemblages
area.
While
reducing
subjective
biases
manual
interpretation,
method
still
limitations.
These
include
use
cross-modal
(e.g.,
geochemical
tables,
outcrop
images)
reliance
static
representations.
Future
research
will
introduce
dynamic
updating
mechanisms
multi-modal
fusion
architectures
improve
adaptability
across
diverse
structural
environments.
Язык: Английский
How urban renewal affects the sustainable development of public spaces: trends, challenges, and opportunities
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Окт. 25, 2024
The
process
of
urbanization
has
spurred
economic
growth
and
social
challenges,
necessitating
research
on
public
spaces
in
urban
renewal
to
optimize
design,
enhance
functionality,
promote
sustainable
development,
improve
residents’
quality
life.
However,
existing
studies
lack
in-depth
discussions
development
trends
focal
points.
This
study
addresses
the
gap
literature,
by
conducting
a
bibliometric
analysis
using
data
from
Web
Science
Core
Collection
database
1
January
2000,
April
2024.
Using
visualization
tools
such
as
VOSviewer
CiteSpace,
examines
publication
trends,
collaborative
networks
among
countries,
institutions,
authors,
co-citation
relationships
key
journals
articles,
emerging
hotspots
through
keyword
analysis.
A
total
393
papers
were
analyzed,
with
China
contributing
highest
number
(65),
followed
United
States
(51).
Leading
contributors
include
Zazzi
Michele
Anguelovski
Isabelle.
top
three
for
publications
are
Sustainability,
Cities,
Land.
Key
highlight
themes
space
syntax,
nature-based
solutions,
transportation.
These
findings
have
significant
implications
planning
policy,
suggesting
that
future
strategies
should
increasingly
incorporate
design
practices
solutions
address
both
environmental
challenges.
By
identifying
global
highlighting
this
provides
comprehensive
overview
will
help
policymakers
practitioners
align
their
efforts
cutting-edge
best
more
resilient
cities.
Язык: Английский