Remote Sensing based Building Extraction

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic...

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Detalles Bibliográficos
Autores principales: Yang, Bisheng, Awrangjeb, Mohammad, Hu, Xiangyun, Tian, Jiaojiao
Formato: Livro
Lenguaje:Inglês
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:
TA1-2040
TH1-9745
T1-995
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
object recognition
n/a
very high resolution
image fusion
regularization
simple linear iterative clustering (SLIC)
digital building height
building
DTM extraction
3D reconstruction
imagery
GIS data
high-resolution satellite images
building edges detection
high resolution optical images
point clouds
building extraction
land-use
morphological attribute filter
deep convolutional neural network
boundary extraction
high spatial resolution remotely sensed imagery
remote sensing
fully convolutional network
3-D
semantic segmentation
morphological profile
modelling
roof segmentation
boundary regulated network
3D urban expansion
feature fusion
developing city
very high resolution imagery
building detection
occlusion
change detection
building index
Massachusetts buildings dataset
elevation map
high spatial resolution remote sensing imagery
data fusion
generative adversarial network
unmanned aerial vehicle (UAV)
high-resolution aerial images
ultra-hierarchical sampling
U-Net
binary decision network
straight-line segment matching
outline extraction
building boundary extraction
deep learning
aerial images
mobile laser scanning
feature extraction
multiscale Siamese convolutional networks (MSCNs)
urban building extraction
high-resolution aerial imagery
mathematical morphology
indoor modelling
Gabor filter
active contour model
attention mechanism
convolutional neural network
LiDAR
accuracy analysis
point cloud
feature-level-fusion
building reconstruction
richer convolution features
open data
VHR remote sensing imagery
Inria aerial image labeling dataset
LiDAR point cloud
method comparison
5G signal simulation
reconstruction
building regularization technique
web-net
Acceso en línea:https://directory.doabooks.org/handle/20.500.12854/58168
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