Remote Sensing Based Building Extraction II

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...

Full description

Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Geography
Research & information: general
airborne Earth observation
airborne LiDAR
attention enhancement
building extraction
building footprint
building model
building photovoltaic
building reconstruction
convolutional neural network
convolutional neural networks
cross level information fusion
deep learning
dense matching
end-to-end
farmland range
fully convolutional neural networks
geometric feature
global information awareness
graph segmentation
half-space
high-resolution image
high-resolution remote-sensing image
hyperspectral image
instance segmentation
integer programming
interactive segmentation network
iterative training
LiDAR
LiDAR data
light detection and ranging (LiDAR)
map vectorization
multi-source remote sensing image
n/a
object primitive
point clouds
pyramid architecture
reconstruction
remote sensing building extraction
remote sensing images
road extraction
roofscape
self-supervised learning
semantic edge detection
semantic segmentation
spatial attention
synthetic aperture radar (SAR)
U-Net network improvement
ultrahigh spatial resolution
urban scale
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Internet

Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Similar Items