BOMSC-Net: Boundary optimization and multi-scale context awareness based building extraction from high-resolution remote sensing imagery
Automatic building extraction from high-resolution remote sensing imagery has various
applications, such as urban planning and land use management. However, the existing …
applications, such as urban planning and land use management. However, the existing …
[HTML][HTML] Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction
Convolutional neural networks show excellent performance in image segmentation.
However, compared with natural images, remote sensing images are characterized by large …
However, compared with natural images, remote sensing images are characterized by large …
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 …
Multiscale U-shaped CNN building instance extraction framework with edge constraint for high-spatial-resolution remote sensing imagery
Building extraction based on high-resolution remote sensing imagery has been widely used
in automatic surveying and map**. However, few methods have been developed for …
in automatic surveying and map**. However, few methods have been developed for …
A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes
In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …
triggered great interest. While many studies have been conducted, a comprehensive review …
Building footprint generation by integrating convolution neural network with feature pairwise conditional random field (FPCRF)
Building footprint maps are vital to many remote sensing (RS) applications, such as 3-D
building modeling, urban planning, and disaster management. Due to the complexity of …
building modeling, urban planning, and disaster management. Due to the complexity of …
BCTNet: Bi-branch cross-fusion transformer for building footprint extraction
Building footprint extraction in remote sensing remains challenging due to the diverse
appearances of buildings and confusing scenarios. Recently, researchers have revealed …
appearances of buildings and confusing scenarios. Recently, researchers have revealed …
Dilated-ResUnet: A novel deep learning architecture for building extraction from medium resolution multi-spectral satellite imagery
In today's world, satellite images are being utilized for the identification of built-up area,
urban planning, disaster management, insurance & tax assessment in an area, and many …
urban planning, disaster management, insurance & tax assessment in an area, and many …
Context–content collaborative network for building extraction from high-resolution imagery
In practical applications, different application fields have various requirements regarding the
precision and completeness of building extraction. Too low precision or completeness may …
precision and completeness of building extraction. Too low precision or completeness may …
Automatic building extraction from LiDAR data fusion of point and grid-based features
This paper proposes a method for extracting buildings from LiDAR point cloud data by
combining point-based and grid-based features. To accurately discriminate buildings from …
combining point-based and grid-based features. To accurately discriminate buildings from …