Automated DEM extraction in digital aerial photogrammetry: precisions and validation for mass movement monitoring
Main Article Content
Abstract
Automated procedures for photogrammetric image processing and Digital Elevation Models (DEM) extraction
yield high precision terrain models in a short time, reducing manual editing; their accuracy is strictly related to
image quality and terrain features. After an analysis of the performance of the Digital Photogrammetric Workstation
(DPW) 770 Helava, the paper compares DEMs derived from different surveys and registered in the same
reference system. In the case of stable area, the distribution of height residuals, their mean and standard deviation
values, indicate that the theoretical accuracy is achievable automatically when terrain is characterized by
regular morphology. Steep slopes, corrugated surfaces, vegetation and shadows can degrade results even if manual
editing procedures are applied. The comparison of multi-temporal DEMs on unstable areas allows the monitoring
of surface deformation and morphological changes.
yield high precision terrain models in a short time, reducing manual editing; their accuracy is strictly related to
image quality and terrain features. After an analysis of the performance of the Digital Photogrammetric Workstation
(DPW) 770 Helava, the paper compares DEMs derived from different surveys and registered in the same
reference system. In the case of stable area, the distribution of height residuals, their mean and standard deviation
values, indicate that the theoretical accuracy is achievable automatically when terrain is characterized by
regular morphology. Steep slopes, corrugated surfaces, vegetation and shadows can degrade results even if manual
editing procedures are applied. The comparison of multi-temporal DEMs on unstable areas allows the monitoring
of surface deformation and morphological changes.
Article Details
How to Cite
Fabris, M. and Pesci, A. (2005) “Automated DEM extraction in digital aerial photogrammetry: precisions and validation for mass movement monitoring”, Annals of Geophysics, 48(6). doi: 10.4401/ag-3247.
Issue
Section
OLD
Open-Access License
No Permission Required
Istituto Nazionale di Geofisica e Vulcanologia applies the Creative Commons Attribution License (CCAL) to all works we publish.
Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, so long as the original authors and source are cited. No permission is required from the authors or the publishers.
In most cases, appropriate attribution can be provided by simply citing the original article.
If the item you plan to reuse is not part of a published article (e.g., a featured issue image), then please indicate the originator of the work, and the volume, issue, and date of the journal in which the item appeared. For any reuse or redistribution of a work, you must also make clear the license terms under which the work was published.
This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your own work will ensure your right to make your work freely and openly available. For queries about the license, please contact ann.geophys@ingv.it.