Next Article in Journal
Wavelength Extension of the Optimized Asymmetric-Order Vegetation Isoline Equation to Cover the Range from Visible to Near-Infrared
Previous Article in Journal
UAV-Borne Imagery Can Supplement Airborne Lidar in the Precise Description of Dynamically Changing Shrubland Woody Vegetation
Previous Article in Special Issue
The Church of S. Maria Delle Palate in Tusa (Messina, Italy): Digitization and Diagnostics for a New Model of Enjoyment
Article

Integration and Comparison Methods for Multitemporal Image-Based 2D Annotations in Linked 3D Building Documentation

Chair of Modelling and Simulation of Structures, Bauhaus-Universität Weimar, Marienstraße 13a, 99423 Weimar, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Filiberto Chiabrando and Domenico Visintini
Remote Sens. 2022, 14(9), 2286; https://doi.org/10.3390/rs14092286
Received: 31 March 2022 / Revised: 5 May 2022 / Accepted: 6 May 2022 / Published: 9 May 2022
Data acquisition systems and methods to capture high-resolution images or reconstruct 3D point clouds of existing structures are an effective way to document their as-is condition. These methods enable a detailed analysis of building surfaces, providing precise 3D representations. However, for the condition assessment and documentation, damages are mainly annotated in 2D representations, such as images, orthophotos, or technical drawings, which do not allow for the application of a 3D workflow or automated comparisons of multitemporal datasets. In the available software for building heritage data management and analysis, a wide range of annotation and evaluation functions are available, but they also lack integrated post-processing methods and systematic workflows. The article presents novel methods developed to facilitate such automated 3D workflows and validates them on a small historic church building in Thuringia, Germany. Post-processing steps using photogrammetric 3D reconstruction data along with imagery were implemented, which show the possibilities of integrating 2D annotations into 3D documentations. Further, the application of voxel-based methods on the dataset enables the evaluation of geometrical changes of multitemporal annotations in different states and the assignment to elements of scans or building models. The proposed workflow also highlights the potential of these methods for condition assessment and planning of restoration work, as well as the possibility to represent the analysis results in standardised building model formats. View Full-Text
Keywords: photogrammetry; cultural heritage; multitemporal data; damage comparison photogrammetry; cultural heritage; multitemporal data; damage comparison
Show Figures

Graphical abstract

MDPI and ACS Style

Taraben, J.; Morgenthal, G. Integration and Comparison Methods for Multitemporal Image-Based 2D Annotations in Linked 3D Building Documentation. Remote Sens. 2022, 14, 2286. https://doi.org/10.3390/rs14092286

AMA Style

Taraben J, Morgenthal G. Integration and Comparison Methods for Multitemporal Image-Based 2D Annotations in Linked 3D Building Documentation. Remote Sensing. 2022; 14(9):2286. https://doi.org/10.3390/rs14092286

Chicago/Turabian Style

Taraben, Jakob, and Guido Morgenthal. 2022. "Integration and Comparison Methods for Multitemporal Image-Based 2D Annotations in Linked 3D Building Documentation" Remote Sensing 14, no. 9: 2286. https://doi.org/10.3390/rs14092286

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop