Machine Learning

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 Informatics publishes our novel method on collecting data on buildings, which are essential for many domains.

Computers, Environment and Urban Systems publishes our research on developing a new use case of street 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.

Landscape and Urban Planning publishes our novel workflow for visual analysis of urban river landscapes by combining UAV oblique photography with CV and VR.

Building and Environment publishes our new review paper.

Cities publishes our review paper in the domain of machine learning.

International Journal of Applied Earth Observation and Geoinformation publishes our new review paper.

Our work on advancing the state of the art of predicting population has been published in PLOS ONE.

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