Urban land-use maps outlining the distribution, pattern, and composition of various land use
types are critically important for urban planning, environmental management, disaster …

High-resolution urban land use maps have important applications in urban planning and
management, but the availability of these maps is low in countries such as China. To …

Object-based image analysis (OBIA) has been widely used for land use and land cover
(LULC) mapping using optical and synthetic aperture radar (SAR) images because it can …

Landscape patterns and building functions are successfully used to provide the social
sensing information of urban areas. However, previous studies treated ground objects …

A heavy workload is required for sample collection for urban land use classification, and
researchers are in urgent need of sampling strategies as a guide to achieve more effective …

Street view images (SVIs) have great potential for automatic land use classification. Previous
studies have paid little attention to the spatial context of SVIs and land parcels, leaving room …

Urban land cover and land use mapping plays an important role in urban planning and
management. In this paper, novel multi-scale deep learning models, namely ASPP-Unet and …

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

Urban Land Use/Land Cover (LULC) information is essential for urban and environmental
management. It is, however, very difficult to automatically extract detailed urban LULC …

Understanding urban spatial pattern of land use is of great significance to urban land
management and resource allocation. Urban space has strong heterogeneity, and thus …