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 …

The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

Automatic extraction of building footprints from high-resolution satellite imagery has become
an important and challenging research issue receiving greater attention. Many recent …

Automated extraction of buildings from remotely sensed data is important for a wide range of
applications but challenging due to difficulties in extracting semantic features from complex …

Automatic building extraction and delineation from high-resolution satellite imagery is an
important but very challenging task, due to the extremely large diversity of building …

This paper presents an automatic building detection technique using LIDAR data and
multispectral imagery. Two masks are obtained from the LIDAR data: a 'primary building …

Cities are complex systems composed of numerous interacting components that evolve over
multiple spatio-temporal scales. Consequently, no single data source is sufficient to satisfy …

ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …

Building information is one of the key elements for a range of urban planning and
management practices. In this study, an investigation was performed to classify buildings …

The automatic extraction of buildings from high-resolution aerial imagery plays a significant
role in many urban applications. Recently, the convolution neural network (CNN) has gained …