[HTML][HTML] A comprehensive framework for evaluating the quality of street view imagery
Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …
sources and assuming its domination in myriads of studies, mainly thanks to the …
[HTML][HTML] “Domains of deprivation framework” for map** slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A …
A Abascal, N Rothwell, A Shonowo… - … , environment and urban …, 2022 - Elsevier
The majority of urban inhabitants in low-and middle-income country (LMIC) cities live in
deprived urban areas. However, policy efforts and the monitoring of global goals and …
deprived urban areas. However, policy efforts and the monitoring of global goals and …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
[HTML][HTML] 3D building reconstruction from single street view images using deep learning
Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …
built environment, but their acquisition remains complex and topical. Approaches to …
Flood vulnerability assessment of urban buildings based on integrating high-resolution remote sensing and street view images
Z ** the urban environment
Abstract Street View Imagery (SVI) has emerged as a valuable data form in urban studies,
enabling new ways to map and sense urban environments. However, fundamental concerns …
enabling new ways to map and sense urban environments. However, fundamental concerns …