Machine learning rebuilds cities in 4D

By on 9 April, 2021

Inferring building height changes over time in Bologna using machine learning and maps from 1884 and 1945. Courtesy Farella E.M, et al./ MDPI Applied Sciences.

A methodology for deriving 4D building models using historical maps and machine learning has been proposed by a team of Russian and Italian scientists.

The researchers say that method should be useful “for understanding urban phenomena and changes contributing to defining our cities’ actual shapes”.

Their proposed technique uses geometric, neighbourhood and categorical attributes to predict building heights from analysis of 2D maps.

They say that when it comes to 3D/4D city modelling based on historical data, “the lack of building heights is a major obstacle for accurate space representation, analysis, visualization or simulations”.

So the team — from the Skolkovo Institute of Science and Technology (Skoltech) in Moscow and the 3DOM research unit of the Fondazione Bruno Kessler (FBK) in Trento, Italy — has used machine learning solutions to infer building heights from historical maps.

They tested the method on four maps of Trento (from the years 1851, 1887, 1908 and 1936) and Bologna (1884 and 1945).

The result was the assembly of multi-temporal (4D) versions of these cities.

The changing landscape of Trento from 1851 to 1936. Courtesy Farella E.M, et al./ MDPI Applied Sciences.

“The implemented learning and predictive procedures tested on historical data have proven to be effective and promising for many other applications,” said Emre Ozdemir, a Skoltech and FBK Trento PhD student.

“Based on a few attributes for the prediction, it will soon be expanded to diverse real-life contexts with missing elevation data,” he added.

“The resulting models will be a great help in bridging the geospatial knowledge gap in past or remote situations.”

The research has been published in the MDPI Applied Sciences journal.

Stay up to date by getting stories like this delivered to your inbox.
Sign up to receive our free weekly Spatial Source newsletter.

You may also like to read:


, , , , ,

No comments yet.

Leave a Reply


Newsletter

Sign up now to stay up to date about all the news from Spatial Source. You will get a newsletter every week with the latest news.

  • This field is for validation purposes and should be left unchanged.
Where ethics and geospatial sciences meet
Efforts are being made to ensure that geospatial and locatio...
Tackling the surveying and spatial skills shortage
There’s a shortage of surveying and spatial professionals,...
Vale: Bruce Thompson, visionary spatial leader
The Australian spatial community has lost one of its giants ...
AAUS to hold inaugural NSW Drone Expo
The event will be held in partnership with Wings Over Illawa...
Dial Before You Dig launches next-gen platform
Delivered in partnership with Esri Australia and Deloitte, t...