Urban land use information is essential for a variety of urban-related applications such as
urban planning and regional administration. The extraction of urban land use from very fine …

Land cover (LC) and land use (LU) have commonly been classified separately from remotely
sensed imagery, without considering the intrinsically hierarchical and nested relationships …

Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …

This paper deals with semantic segmentation of high-resolution (aerial) images where a
semantic class label is assigned to each pixel via supervised classification as a basis for …

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

This paper focuses on the relationship between remotely-sensed urban site characteristics
(USCs) and land surface temperature (LST). Particular emphasis is put on an extensive …

Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Properties of spatially explicit data are often ignored or inadequately handled in machine
learning for spatial domains of application. At the same time, resources that would identify …