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Remote Sensing Based Building Extraction II

Building extraction from remote sensing data plays an important role in geospatial applications such as urban planning, disaster management, navigation, and updating geographic databases. The rapid development of image processing techniques and the accessibility of very-high-resolution multispectral...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:
building extraction
high-resolution remote-sensing image
semantic edge detection
semantic segmentation
building footprint
map vectorization
convolutional neural network
airborne LiDAR
graph segmentation
object primitive
geometric feature
road extraction
high-resolution image
hyperspectral image
synthetic aperture radar (SAR)
light detection and ranging (LiDAR)
farmland range
attention enhancement
U-Net network improvement
multi-source remote sensing image
building model
reconstruction
half-space
LiDAR data
urban scale
interactive segmentation network
deep learning
iterative training
remote sensing images
spatial attention
global information awareness
cross level information fusion
dense matching
convolutional neural networks
end-to-end
pyramid architecture
building reconstruction
LiDAR
point clouds
integer programming
airborne Earth observation
ultrahigh spatial resolution
instance segmentation
fully convolutional neural networks
roofscape
remote sensing building extraction
building photovoltaic
self-supervised learning
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Accés en línia:ONIX_20230511_9783036570648_140
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