doi.org/10.1016/j.landurbplan.2021.104217
Review paper

Street view imagery in urban analytics and GIS: A review

Filip Biljecki
25
,
Koichi Ito
2
Landscape and Urban Planning9.10
Volume: 215, Pages: 104217 - 104217
Published: Nov 1, 2021
Abstract
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 surge has been mainly catalysed by the proliferation of large-scale imagery platforms, advances in computer vision and machine learning, and availability of computing resources. We screened more than 600 recent papers to provide a comprehensive systematic review of the...
Paper Fields
Paper Details
Title
Street view imagery in urban analytics and GIS: A review
DOI
doi.org/10.1016/j.landurbplan.2021.104217
Published Date
Nov 1, 2021
Journal
Landscape and Urban Planning
Volume
215
Pages
104217 - 104217
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.