New Publication on Automated building characterization

New Publication on Automated building characterization

September 15, 2021

A new publication by Hannes Taubenböck and colleagues is online about “Automated building characterization for seismic risk assessment using street-level imagery and deep learning”. From the abstract: “Accurate seismic risk modeling requires knowledge of key structural characteristics of buildings. However, to date, the collection of such data is highly expensive in terms of labor, time and money and thus prohibitive for a spatially continuous large-area monitoring. This study quantitatively evaluates the potential of an automated and thus more efficient collection of vulnerability-related structural building characteristics based on Deep Convolutional Neural Networks (DCNNs) and street-level imagery such as provided by Google Street View. The proposed approach involves a tailored hierarchical categorization workflow to structure the highly heterogeneous street-level imagery in an application-oriented fashion. Thereupon, we use state-of-the-art DCNNs to explore the automated inference of Seismic Building Structural Types. These reflect the main-load bearing structure of a building, and thus its resistance to seismic forces. Additionally, we assess the independent retrieval of two key building structural parameters, i.e., the material of the lateral-load-resisting system and building height to investigate the applicability for a more generic structural characterization of buildings. Experimental results obtained for the earthquake-prone Chilean capital Santiago show accuracies beyond κ = 0.81 for all addressed classification tasks. This underlines the potential of the proposed methodology for an efficient in-situ data collection on large spatial scales with the purpose of risk assessments related to earthquakes, but also other natural hazards (e.g., tsunamis, or floods).”

read full article here:

P. Aravena Pelizari, C. Geiß, P. Aguirre, H. Santa María, Y. Merino Peña, and H. Taubenböck (2021) Automated building characterization for seismic risk assessment using street-level imagery and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing

you may also like:

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

The Joint Urban Remote Sensing Event (JURSE) ( http://jurse.org/ ) is a forum of excellence where researchers, practitioners and students present, share, and discuss their latest findings and results. A very dynamic version of the Joint Urban Remote Sensing Event...

public talk by Hannes Taubenböck

public talk by Hannes Taubenböck

Deutschland – Wie und wo wir wohnen (wollen) Vortrag von Hannes Taubenböck (publich talk in german by Hannes Taubenböck on "How and where we like to live") Jede:r von uns wohnt – irgendwie. Ob in ländlichen oder urbanen Gefilden, ob in Ein- oder Mehrfamilienhäusern,...

new publication: on population disaggregation

new publication: on population disaggregation

A new article by Hannes Taubenböck and his team got published "Empiric recommendations for population disaggregation under different data scenarios" in PLOS One. From the abstract: "High-resolution population mapping is of high relevance for developing and...

most recent news:

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

The Joint Urban Remote Sensing Event (JURSE) ( http://jurse.org/ ) is a forum of excellence where researchers, practitioners and students present, share, and discuss their latest findings and results. A very dynamic version of the Joint Urban Remote Sensing Event...

public talk by Hannes Taubenböck

public talk by Hannes Taubenböck

Deutschland – Wie und wo wir wohnen (wollen) Vortrag von Hannes Taubenböck (publich talk in german by Hannes Taubenböck on "How and where we like to live") Jede:r von uns wohnt – irgendwie. Ob in ländlichen oder urbanen Gefilden, ob in Ein- oder Mehrfamilienhäusern,...

new publication: on population disaggregation

new publication: on population disaggregation

A new article by Hannes Taubenböck and his team got published "Empiric recommendations for population disaggregation under different data scenarios" in PLOS One. From the abstract: "High-resolution population mapping is of high relevance for developing and...