[HTML][HTML] Street view imagery in urban analytics and GIS: A review

F Biljecki, K Ito - Landscape and Urban Planning, 2021 - Elsevier
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 …

Using satellite imagery to understand and promote sustainable development

M Burke, A Driscoll, DB Lobell, S Ermon - Science, 2021 - science.org
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

A review of urban physical environment sensing using street view imagery in public health studies

Y Kang, F Zhang, S Gao, H Lin, Y Liu - Annals of GIS, 2020 - Taylor & Francis
Urban physical environments are the physical settings and built environments in
neighbourhoods and cities which provide places for human activities. Evidence suggests …

Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image

Y Zhang, P Liu, F Biljecki - ISPRS Journal of Photogrammetry and Remote …, 2023 - Elsevier
With the rise of GeoAI research, streetscape imagery has received extensive attention due to
its comprehensive coverage, abundant information, and accessibility. However, obtaining a …

Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

S Salcedo-Sanz, P Ghamisi, M Piles, M Werner… - Information …, 2020 - Elsevier
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …

[HTML][HTML] Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data

W Li, C He, J Fang, J Zheng, H Fu, L Yu - Remote Sensing, 2019 - mdpi.com
Automatic extraction of building footprints from high-resolution satellite imagery has become
an important and challenging research issue receiving greater attention. Many recent …

Deep learning-based remote and social sensing data fusion for urban region function recognition

R Cao, W Tu, C Yang, Q Li, J Liu, J Zhu… - ISPRS Journal of …, 2020 - Elsevier
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 …

Flood vulnerability assessment of urban buildings based on integrating high-resolution remote sensing and street view images

Z **ng, S Yang, X Zan, X Dong, Y Yao, Z Liu… - Sustainable Cities and …, 2023 - Elsevier
Urban flood risk management requires an extensive investigation of the vulnerability
characteristics of buildings. Large-scale field surveys usually cost a lot of time and money …

[HTML][HTML] Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network

B Chen, Q Feng, B Niu, F Yan, B Gao, J Yang… - International Journal of …, 2022 - Elsevier
With the rapid urbanization process in China, numerous urban villages have been
appeared, which are surrounded by the newly-built urban blocks. Due to the high population …

[HTML][HTML] Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information

W Zhou, C Persello, M Li, A Stein - Remote Sensing of Environment, 2023 - Elsevier
Assigning detailed use categories to buildings is a challenging and relevant task in urban
land use classification with applications in urban planning, digital city modelling and …