Rural building is important to the well-being of rural residents, leading to a significant need
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …

Unplanned urban settlements exist worldwide. The geospatial information of these areas is
critical for urban management and reconstruction planning but usually unavailable …

Building structural type information is the foundation for seismic risk assessment and
management since it reflects the behavior of buildings under seismic load. However, in …

Dynamic monitoring of building environments is essential for observing rural land changes
and socio-economic development, especially in agricultural countries, such as China. Rapid …

In this study, we present the Ensemble Convolutional Neural Network (ECNN), an elaborate
CNN frame formulated based on ensembling state-of-the-art CNN models, to identify village …

Building type prediction is a critical task for urban planning and population estimation. The
growing availability of multi-source data presents rich semantic information for building type …

Building extraction from remote sensing data is an important topic in urban studies and the
deep learning methods have an increasing role due to their minimal requirements in training …

Automatic understanding of floor plan images is a key component of various applications.
Due to the style diversity of rural housing design, the latest learning-based approaches …

Extracting and recognizing buildings from high-resolution remote sensing images faces
many problems due to the complexity of the buildings on the surface. The purpose is to …

In this study, a method based on supervised machine learning is proposed to identify village
buildings from open high-resolution remote sensing images. We select Google Earth (GE) …