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machine learning
New paper: InstantCITY
ISPRS Journal of Photogrammetry and Remote Sensing publishes our novel work on synthesising morphologically accurate geospatial data for urban form analysis, transfer, and quality control.
Urban Analytics Lab
2022-12-04
3 min read
New paper: Mining real estate ads and property transactions for building and amenity data acquisition
Urban Informatics publishes our novel method on collecting data on buildings, which are essential for many domains.
Urban Analytics Lab
2022-11-24
2 min read
New paper: Sensing urban soundscapes from street view imagery
Computers, Environment and Urban Systems publishes our research on developing a new use case of street view imagery.
Urban Analytics Lab
2022-11-21
2 min read
New paper: Water View Imagery
Ecological Indicators publishes our latest work on introducing a new kind of urban visual perspective for perception and evaluation studies of waterscapes worldwide.
Urban Analytics Lab
2022-11-05
3 min read
New paper: Semantic Riverscapes
Landscape and Urban Planning publishes our novel workflow for visual analysis of urban river landscapes by combining UAV oblique photography with CV and VR.
Urban Analytics Lab
2022-09-23
3 min read
New paper: Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales
Building and Environment publishes our new review paper.
Urban Analytics Lab
2022-08-22
2 min read
New paper: Unsupervised machine learning in urban studies: A systematic review of applications
Cities publishes our review paper in the domain of machine learning.
Urban Analytics Lab
2022-08-20
2 min read
New paper: A review of spatially-explicit GeoAI applications in Urban Geography
International Journal of Applied Earth Observation and Geoinformation publishes our new review paper.
Urban Analytics Lab
2022-08-12
2 min read
New paper: Population estimation beyond counts—Inferring demographic characteristics
Our work on advancing the state of the art of predicting population has been published in PLOS ONE.
Urban Analytics Lab
2022-04-06
3 min read
Large-scale 3D geospatial data for urban analytics
Creating country-wide 3D city models using artificial intelligence
Filip Biljecki
,
Yoong Shin Chow
,
Abraham Noah Wu
,
Kay Lee
,
Koichi Ito
,
Lawrence Chew Zheng Xiong
,
Shiyue Zhong
,
Ankit Palliwal
,
Ang Li Min
,
Jin Yuchen
Towards generating LoD2 models without aerial surveys using machine learning
The paper deals with inferring the type of roof from LOD1 models, potentially contributing to a broader context of a workflow of generating LoD2 models bypassing traditional approaches
Urban Analytics Lab
2019-09-23
2 min read
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