Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …

Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …

The visual landscape plays a pivotal role in urban planning and healthy cities. Recent
studies of visual evaluation focus on either objective or subjective approach, while …

Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …

Serious interoperability challenges prevent the stakeholders of infrastructure projects and
citizens as the final users, from interacting with each other and helping maintain a project …

Remote sensing imagery (RSI) and point of interest (POI) are two complementary data for
urban functional zone (UFZ) extraction. However, current methods only use single data or …

OpenStreetMap (OSM) is a community-based, freely available, editable map service created
as an alternative to authoritative sources. Given that it is edited mainly by volunteers with …

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 …

Landuse characterization is important for urban planning. It is traditionally performed with
field surveys or manual photo interpretation, two practices that are time-consuming 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 …