[HTML][HTML] Computer vision applications for urban planning: A systematic review of opportunities and constraints
Computer vision (CV) technology, a key subset of artificial intelligence, provides powerful
tools for extracting valuable insights from visual data, which is a crucial component for the …
tools for extracting valuable insights from visual data, which is a crucial component for the …
[HTML][HTML] From intangible to tangible: The role of big data and machine learning in walkability studies
Walkability reflects the well-being of a city, and its measurement is evolving rapidly due to
advancements of big data and machine learning technologies. The study examines the …
advancements of big data and machine learning technologies. The study examines the …
Rethinking urban density, vitality and healthy environment in the post-pandemic city: The case of Istanbul
MZ Paköz, M Işık - Cities, 2022 - Elsevier
The present study aims to examine the relationship between urban vitality, healthy
environment and density through the city of Istanbul, which is going through the Covid-19 …
environment and density through the city of Istanbul, which is going through the Covid-19 …
Deep-learning-based multispectral image reconstruction from single natural color RGB image—Enhancing UAV-based phenoty**
Multispectral images (MSIs) are valuable for precision agriculture due to the extra spectral
information acquired compared to natural color RGB (ncRGB) images. In this paper, we thus …
information acquired compared to natural color RGB (ncRGB) images. In this paper, we thus …
Jane Jacobs's urban vitality focusing on three-facet criteria and its confluence with urban physical complexity
Urban vitality is crucial for sustainability, contributing to social cohesion, information
exchange, and overall quality of life. Understanding and quantifying urban vitality is …
exchange, and overall quality of life. Understanding and quantifying urban vitality is …
Computer vision-based analysis of buildings and built environments: A systematic review of current approaches
Analysing 88 sources published from 2011 to 2021, this article presents a first systematic
review of the computer vision-based analysis of buildings and the built environment. Its aim …
review of the computer vision-based analysis of buildings and the built environment. Its aim …
MSE-Net: A novel master–slave encoding network for remote sensing scene classification
Remote sensing scene (RSS) image classification plays a vital role in various fields such as
urban planning and environmental protection. However, due to higher inter-class similarity …
urban planning and environmental protection. However, due to higher inter-class similarity …
[HTML][HTML] Predicting the liveability of Dutch cities with aerial images and semantic intermediate concepts
In order to provide urban residents with suitable living conditions, it is essential to keep track
of the liveability of neighbourhoods. This is traditionally done through surveys and by …
of the liveability of neighbourhoods. This is traditionally done through surveys and by …
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
Predicting socioeconomic indicators from satellite imagery with deep learning has become
an increasingly popular research direction. Post-hoc concept-based explanations can be an …
an increasingly popular research direction. Post-hoc concept-based explanations can be an …
On the adoption of e-moped sharing systems
Recent years have witnessed the emerging of novel shared mobility solutions that provide
diffused on-demand access to transportation. The widespread adoption of these solutions …
diffused on-demand access to transportation. The widespread adoption of these solutions …