IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2024,
Номер
17, С. 10914 - 10928
Опубликована: Янв. 1, 2024
As
urbanization
accelerates,
the
evolving
dynamics
of
village
growth
and
decline
have
garnered
widespread
attention.
Rural
housing,
as
most
significant
asset
in
villages,
serves
primary
indicator
socio-economic
development
rural
areas.
However,
extensive
scale,
diversity,
distribution
villages
make
conducting
a
nationwide
census
buildings
notably
costly
time-intensive
endeavor.
Although
deep
learning
techniques
been
successfully
applied
by
numerous
researchers
to
map
building
footprints,
majority
this
work
is
concentrated
urban
areas,
leaving
large-scale
datasets
for
lacking.
In
article,
an
exhaustive
database
architecture
has
established,
featuring
diverse
annotations
from
provinces
mainland
China.
Moreover,
real-
time
online
platform
remote
sensing
image
interpretation,
integrating
instance
segmentation
boundary
regularization,
developed
streamline
extraction
footprints
high-resolution
imagery.
Experimental
results
predicting
43,992
instances
demonstrated
that
33,210
were
accurately
identified,
achieving
precision
0.776,
recall
0.755,
F1
score
0.765.
Building
upon
work,
maps
areas
quantity
are
produced
clearly
demonstrate
houses
parts
These
data
products
can
serve
vital
supplements
public
such
nighttime
light
data,
land
cover
maps,
national
statistical
yearbooks,
road
network
particularly
field
studies.
International Journal of Applied Earth Observation and Geoinformation,
Год журнала:
2023,
Номер
125, С. 103591 - 103591
Опубликована: Дек. 1, 2023
Traditional
overhead
imagery
techniques
for
urban
land
use
detection
and
mapping
often
lack
the
precision
needed
accurate,
fine-grained
analysis,
particularly
in
complex
environments
with
multi-functional,
multi-story
buildings.
To
bridge
gap,
this
study
introduces
a
novel
approach,
utilizing
ground-level
street
view
images
geo-located
at
point
level,
to
provide
more
concrete,
subtle,
informative
visual
characteristics
mixed
addressing
two
major
limitations
of
imagery:
coarse
resolution
insufficient
information.
Given
that
spatial
context-aware
land-use
descriptions
are
commonly
employed
describe
environments,
treats
as
Natural
Language
Visual
Reasoning
(NLVR)
task,
i.e.,
classifying
use(s)
based
on
similarity
their
local
descriptive
contexts,
by
integrating
(vision)
(language)
through
vision-language
multimodal
learning.
The
results
indicate
our
approach
significantly
outperforms
traditional
vision-based
methods
can
accurately
capture
multiple
functionalities
ground
features.
It
benefits
from
incorporation
prompts,
whereas
geographic
scale
geo-locations
matters.
Additionally,
marks
significant
advancement
mapping,
achieving
point-level
precision.
allows
representation
diverse
types
locations,
offering
flexibility
various
resolutions,
including
census
tracts
zoning
districts.
This
is
effective
areas
functionalities,
facilitating
detailed
perspective
uses
settings.
Remote Sensing,
Год журнала:
2025,
Номер
17(3), С. 424 - 424
Опубликована: Янв. 26, 2025
Urban
villages
(UVs)
are
the
most
typical
urban
informal
settlements
in
China,
and
study
of
an
effective
identification
method
for
UVs
can
help
to
provide
a
reference
development
locally
adapted
UV
transformation
policies.
In
order
reduce
cost
labeling
enhance
transferability,
this
integrates
remote
sensing
social
data
applies
sample
migration
from
labeled
area
less
based
on
theory
transfer
learning.
There
two
main
results
study:
(1)
This
constructed
feature
system
multi-feature
extraction
using
block
as
unit,
experiments
Tianhe
District
achieved
overall
accuracy
90%
kappa
coefficient
0.76.
(2)
Using
source
domain
Jiangan
target
domain,
samples
were
reused
KMM,
TCA,
CORAL
algorithms.
The
CORAL+RF
algorithm
showed
best
performance,
where
its
reached
97.06%
0.89,
91.17%
0.67
case
no
labeling.
To
sum
up,
proposed
present
provides
theoretical
references
methods
different
geographical
areas.
Electronics,
Год журнала:
2025,
Номер
14(7), С. 1242 - 1242
Опубликована: Март 21, 2025
Point
of
Interest
(POI)
data
play
a
critical
role
in
enabling
location-based
services
(LBS)
by
providing
intrinsic
attributes,
including
geographic
coordinates
and
semantic
categories,
alongside
spatial
context
that
reflects
relationships
among
POIs.
However,
the
inherent
label
sparsity
POI
datasets
poses
significant
challenges
for
traditional
supervised
learning
approaches.
To
address
this
limitation,
we
propose
MaskPOI,
novel
self-supervised
framework
combines
strengths
graph
neural
networks
masked
modeling.
MaskPOI
incorporates
two
complementary
modules:
an
edge
mask-based
autoencoder
models
topology
predicting
existence
uncovering
hidden
feature
reconstructs
node
features
to
explore
rich
attribute
characteristics
Together,
these
modules
enable
jointly
capture
information
essential
robust
representation
learning.
Extensive
experiments
demonstrate
MaskPOI’s
effectiveness
improving
performance
on
downstream
tasks
such
as
functional
zone
classification
population
density
prediction.
Ablation
studies
further
validate
contributions
its
components,
highlighting
powerful
versatile
Land,
Год журнала:
2025,
Номер
14(5), С. 1036 - 1036
Опубликована: Май 9, 2025
The
landscape
visual
sensitivity
(LVS)
assessment
is
recognized
as
a
critical
tool
for
identifying
areas
most
sensitive
to
changes
and
informing
multi-resource
optimization
allocation
strategies.
However,
conventional
large-scale
LVS
criteria
methodologies
developed
natural
landscapes
do
not
satisfy
the
precision-oriented
requirements
of
streetscape
(SVS)
in
historic
districts,
nor
they
facilitate
operational
linkage
between
outcomes
planning
applications.
This
study
proposes
an
innovative
SVS–PAP
methodology,
which
systematic
integration
SVS
public
esthetic
perception
(PAP)
evaluation.
framework
was
first
improved
through
enriched
multi-modal
datasets.
Subjective
weights
were
obtained
via
analytic
hierarchy
process
(AHP),
incorporating
expert
judgments,
while
objective
derived
entropy
weight
method
(EWM)
based
on
data
information
entropy.
both
approaches
enhances
methodological
rigor
scientific
validity
determination.
An
analytical
matrix
subsequently
constructed
assessments
PAP-based
scenic
beauty
estimation
(SBE),
enabling
derivation
empirical
validation
conducted
Anshandao
Historic
District
yielded
four
key
findings:
(1)
integrates
subjective–objective
evaluation
factors
incorporates
broad
participation,
demonstrates
strong
reliability,
establishing
novel
paradigm
strategic
planning;
(2)
technical
framework—leveraging
GIS
spatial
analysis
techniques—improves
precision,
operability,
replicability;
(3)
management
strategies
formulated
by
verified
reasonable,
demonstrating
effective
planning-transition
capability;
(4)
Notably,
historical
cultural
influences
showed
significantly
higher
weighting
coefficients
across
compared
non-historic
assessments.
Overall,
these
research
results
address
persistent
undervaluation
spiritual
values
value
trade-off
decision-making
processes,
theoretical
practical
significance
advancement.
