Ruiz, J.J., Diaz-Mas, L., Perez, F. and Viguria, A. (2013) Evaluating the Accuracy of DEM Generation Algorithms from UAV Imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 40, 333-337.
https://doi.org/10.5194/isprsarchives-XL-1-W2-333-2013

has been cited by the following article:

• TITLE: Automatic Correction of DEM Surface Errors

  AUTHORS: Ahmed F. Elaksher

  KEYWORDS: Photogrammetry, DEM, Orthophoto, Planner Surfaces

  JOURNAL NAME: Journal of Geographic Information System, Vol.9 No.3, June 15, 2017

  ABSTRACT: The automation of extracting planner surfaces is a main field of research in digital photogrammetry. These surfaces are essential to generate three dimensional GIS databases. Surfaces are usually determined from either DEMs or images. Each dataset provides a different type of information. Thus, the combination of the two datasets should enhance the surface reconstruction process. This paper presents a new technique for generating 3D surfaces by combining both correlation-based DEMs and aerial images. The process starts by discriminating DEM points that represent planner surfaces using local statistics of neighboring elevations and intensities and point elevations. A segmented orthophoto is then used to group these points into different regions. The elevations of the points in each region are fed into a least squares adjustment model to compute the best-fit planner surface parameters. Refinement of surface borders is then performed using a region growing algorithm. The RMSE for five test sites showed a spatial accuracy of 5 - 8 cm.