The significance of urban function recognition has stimulated the need for multi-source
geospatial data fusion, especially the fusion between remote sensing images and …

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 …

Few-shot semantic segmentation, aiming to segment query images with a few annotated
support samples, has drawn increasing attention. Most existing few-shot methods leverage …

Urban scenes consist of visual and semantic features and exhibit spatial relationships
among land-use types (eg industrial areas are far away from the residential zones). This …

Urban land use information that reflects socio-economic functions and human activities is
critically essential for urban planning, landscape design, environmental management …

Ground reference data are an essential prerequisite for supervised crop mapping. The lack
of a low-cost and efficient ground referencing method results in pervasively limited reference …

Human perception of place refers to residents' psychological feelings about urban areas.
Many studies of human perceptions have focused on a specific geographic location …

Urban land use mapping is crucial for effective urban management and planning due to the
rapid change of urban processes. State-of-the-art approaches rely heavily on the …

Urban functional zones (UFZs) are important for urban sustainability and urban planning
and management, but UFZ maps are rarely available and up-to-date in developing countries …

We are currently living in the era of big data. The volume of collected or archived geospatial
data for land use and land cover (LULC) mapping including remotely sensed satellite …