&lt;title&gt;Parametric simulation-based evaluation of 3D mapping techniques on optical remote sensing images&lt;/title&gt;

Paparoditis, Nicolas; Praly, Laurent; Savaria, Eric

doi:10.1117/12.226861

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can also help to better understand the effects of error propagation. This approach has long been implemented to evaluate the expected performances of image acquisition strategies as well as processing algorithms for different mapping methods based on remote sensing data, i.e., photogrammetry [97], lidar [98], and radar methods [99,100]. More recently it has also been applied to terrestrial mobile mapping [101].…”

Section: Simulation-based Dem Production Methods Validationmentioning

confidence: 99%

Digital Elevation Model Quality Assessment Methods: A Critical Review

2020

Self Cite

View full text Add to dashboard Cite

Digital elevation models (DEMs) are widely used in geoscience. The quality of a DEM is a primary requirement for many applications and is affected during the different processing steps, from the collection of elevations to the interpolation implemented for resampling, and it is locally influenced by the landcover and the terrain slope. The quality must meet the user’s requirements, which only make sense if the nominal terrain and the relevant resolution have been explicitly specified. The aim of this article is to review the main quality assessment methods, which may be separated into two approaches, namely, with or without reference data, called external and internal quality assessment, respectively. The errors and artifacts are described. The methods to detect and quantify them are reviewed and discussed. Different product levels are considered, i.e., from point cloud to grid surface model and to derived topographic features, as well as the case of global DEMs. Finally, the issue of DEM quality is considered from the producer and user perspectives.

show abstract