A review of building detection from very high resolution optical remote sensing images
Building detection from very high resolution (VHR) optical remote sensing images, which is
an essential but challenging task in remote sensing, has attracted increased attention in …
an essential but challenging task in remote sensing, has attracted increased attention in …
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images
The extraction of urban structures such as buildings from very high-resolution (VHR) remote
sensing imagery has improved dramatically, thanks to recent developments in deep …
sensing imagery has improved dramatically, thanks to recent developments in deep …
Building extraction at scale using convolutional neural network: Mapping of the united states
Establishing up-to-date large scale building maps is essential to understand the urban
dynamics, such as estimating population, urban planning, and many other applications …
dynamics, such as estimating population, urban planning, and many other applications …
[HTML][HTML] Comparing sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in southeast asia utilizing google earth engine
Satellite remote sensing plays an important role in the monitoring of surface water for
historical analysis and near real-time applications. Due to its cloud penetrating capability …
historical analysis and near real-time applications. Due to its cloud penetrating capability …
HiSup: Accurate polygonal mapping of buildings in satellite imagery with hierarchical supervision
This paper studies the problem of the polygonal mapping of buildings by tackling the issue
of mask reversibility, which leads to a notable performance gap between the predicted …
of mask reversibility, which leads to a notable performance gap between the predicted …
PA-Former: Learning prior-aware transformer for remote sensing building change detection
Building change detection (BCD) is significant for urban planning and environmental
protection. In view of the interclass similarity and intraclass difference of building changes in …
protection. In view of the interclass similarity and intraclass difference of building changes in …
Semantic segmentation of urban buildings using a high-resolution network (HRNet) with channel and spatial attention gates
S Seong, J Choi - Remote Sensing, 2021 - mdpi.com
In this study, building extraction in aerial images was performed using csAG-HRNet by
applying HRNet-v2 in combination with channel and spatial attention gates. HRNet-v2 …
applying HRNet-v2 in combination with channel and spatial attention gates. HRNet-v2 …
Automatic extraction of built-up area from ZY3 multi-view satellite imagery: Analysis of 45 global cities
Accurate delineation of global built-up area (BUA) is fundamental to a better understanding
of human development and the impacts on global environmental change. Existing global …
of human development and the impacts on global environmental change. Existing global …
[HTML][HTML] A cascaded data fusion approach for extracting the rooftops of buildings in heterogeneous urban fabric using high spatial resolution satellite imagery and …
K Hazaymeh, A Almagbile - The Egyptian Journal of Remote Sensing …, 2023 - Elsevier
In this study, a cascaded data fusion approach was implemented to extract the rooftops of
buildings from remote sensing data in a heterogeneous urban fabric in Irbid city, Jordan. The …
buildings from remote sensing data in a heterogeneous urban fabric in Irbid city, Jordan. The …
Accurate polygonal mapping of buildings in satellite imagery
This paper studies the problem of polygonal mapping of buildings by tackling the issue of
mask reversibility that leads to a notable performance gap between the predicted masks and …
mask reversibility that leads to a notable performance gap between the predicted masks and …