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Article-Journal
Sensing urban soundscapes from street view imagery
A healthy acoustic environment is an essential component of sustainable cities. Various noise monitoring and simulation techniques have …
Tianhong Zhao
,
Liang Xiucheng
,
Wei Tu
,
Zhengdong Huang
,
Filip Biljecki
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Dataset
DOI
Incorporating Networks in Semantic Understanding of Streetscapes: Contextualising Active Mobility Decisions
Planning for active mobility satisfies many fundamental tenets of good urban design and planning. However, planning for active mobility …
Winston Yap
,
Jiat Hwee Chang
,
Filip Biljecki
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DOI
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 …
Hou Yujun
,
Filip Biljecki
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Code
DOI
Assessing and benchmarking 3D city models
3D city models are omnipresent in urban management and simulations. However, instruments for their evaluation have been limited. …
Binyu Lei
,
Rudi Stouffs
,
Filip Biljecki
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DOI
Water View Imagery: Perception and evaluation of urban waterscapes worldwide
Gathering knowledge about physical settings and visual information of places has long been of interest to a wide variety of fields as …
Junjie Luo
,
Tianhong Zhao
,
Lei Cao
,
Filip Biljecki
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Dataset
DOI
Home gardening in Singapore: A feasibility study on the utilization of the vertical space of retrofitted high-rise public housing apartment buildings to increase urban vegetable self-sufficiency
In land-scarce cities, high-rise apartment buildings may provide vertical spaces for natural-light home gardening along corridors, …
Shuang Song
,
Jia Chin Cheong
,
Joel S. H. Lee
,
Jonathan K. N. Tan
,
Zhongyu Chiam
,
Srishti Arora
,
Karl J. Q. Png
,
Johanah W. C. Seow
,
Felicia W. S. Leong
,
Ankit Palliwal
,
Filip Biljecki
,
Abel Tablada
,
Hugh T. W. Tan
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DOI
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Traditional approaches for visual perception and evaluation of river landscapes adopt on-site surveys or assessments through …
Junjie Luo
,
Tianhong Zhao
,
Lei Cao
,
Filip Biljecki
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Dataset
DOI
Generative Adversarial Networks in the Built Environment: A Comprehensive Review of the Application of GANs across Data Types and Scales
Generative Adversarial Networks (GANs) are a type of deep neural network that have achieved many state-of-the-art results for …
Abraham Noah Wu
,
Rudi Stouffs
,
Filip Biljecki
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DOI
Unsupervised machine learning in urban studies: A systematic review of applications
Unsupervised learning (UL) has a long and successful history in untangling the complexity of cities. As the counterpart of supervised …
Wang Jing
,
Filip Biljecki
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DOI
A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the …
Pengyuan Liu
,
Filip Biljecki
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DOI
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