Automatic clod detection and boundary estimation from Digital Elevation Model images using different approaches
Auteur(s) et Affiliation(s)
CHIMI-CHIADJEU, O.
LATMOS/IPSL, Univ. Versailles, Saint-Quentin en Yvelines, France
IEF, Univ Paris-Sud, Orsay, France
VANNIER, E.
LATMOS/IPSL, Univ. Versailles, Saint-Quentin en Yvelines, France
TACONET, O.
LATMOS/IPSL, Univ. Versailles, Saint-Quentin en Yvelines, France
DUSSÉAUX, R.
LATMOS/IPSL, Univ. Versailles, Saint-Quentin en Yvelines, France
Description :
The aim of this study is to propose and discuss some methods dedicated to the automatic localization of clods (or big aggregates) on Digital Elevation Model images of soil. Two new image processing methods are introduced. The first one deals with the clod detection and the rough estimation of their boundaries. The second proposed method deals with the accurate estimation of clod boundaries. Both proposed methods are validated on laboratory-built surfaces and on an actual surface recorded in an agricultural field. Results show that the proposed methods outperformed previously published methods. The implications are the automatic analysis of DEM images that is a step towards micro-topography statistical characterization.
Type de document :
Article de périodique
Source :
Catena (Giessen), issn : 0341-8162, 2014, n°. 118, p. 73-83, nombre de pages : 11, Références bibliographiques : 1 p.
Date :
2014
Editeur :
Pays édition : Allemagne, Cremlingen-Destedt, Catena
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)