Integrating Remote Sensing and Street View Imagery for Mapping Slums
Mapping slums is vital for monitoring the Sustainable Development Goal (SDG) indicators. In the absence of reliable data, Remote Sensing (RS)-based approaches, particularly the Deep Learning (DL) methods, have gained recognition and high accuracies for ...
Abbas Najmi +4 more
doaj +2 more sources
Street View Imagery Analysis in a Computational Notebook
Street view imagery, capturing detailed streetscapes at human eye-level, has received significant attention in the past decade. Street view images can be leveraged to observe the built environment from both element- and scene-levels.
Yuhao Kang
doaj +2 more sources
Integrating street view imagery and taxi trajectory for identifying urban function of street space
Street space is a crucial component of public space, serving as a site for a variety of human activities. However, prior studies have primarily focused on the traffic function of street space, neglecting other functional types, such as residential and ...
Mianxin Gao +6 more
doaj +2 more sources
Automatic Discovery and Geotagging of Objects from Street View Imagery [PDF]
Many applications, such as autonomous navigation, urban planning, and asset monitoring, rely on the availability of accurate information about objects and their geolocations.
Vladimir A. Krylov +2 more
doaj +6 more sources
Analysing gender differences in the perceived safety from street view imagery
The relationship between the built environment and human perception of safety is well recognised in a growing literature of urban studies. However, there is a lack of attention to gender differences in perceptions of place, particularly in studies that ...
Qinyu Cui +4 more
doaj +2 more sources
COMPARING STREET VIEW IMAGERY AND AERIAL PERSPECTIVES IN THE BUILT ENVIRONMENT [PDF]
Street view imagery (SVI) has gained prominence in the past decade, offering a new perspective to map and understand cities. It supports numerous studies in the built environment, by replacing or supplementing aerial and satellite imagery, where some ...
L. Y. Gaw +5 more
doaj +3 more sources
Assessing bikeability with street view imagery and computer vision [PDF]
Studies evaluating bikeability usually compute spatial indicators shaping cycling conditions and conflate them in a quantitative index. Much research involves site visits or conventional geospatial approaches, and few studies have leveraged street view imagery (SVI) for conducting virtual audits.
Koichi Ito, Filip Biljecki
openaire +2 more sources
Geometry-Guided Street-View Panorama Synthesis From Satellite Imagery [PDF]
accepted to ...
Yujiao Shi +3 more
openaire +5 more sources
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery [PDF]
Accepted to CVPR 2019.
Uittenbogaard, Ries (author) +5 more
openaire +3 more sources
Using Street View Imagery to Predict Street-Level Particulate Air Pollution
Land-use regression (LUR) models are frequently applied to estimate spatial patterns of air pollution. Traditional LUR often relies on fixed-site measurements and GIS-derived variables with limited spatial resolution. We present an approach that leverages Google Street View (GSV) imagery to predict street-level particulate air pollution (i.e., black ...
Meng Qi, Steve Hankey
openaire +3 more sources

