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(Article of periodic en Anglais - 2014)

Document title

Automatic clod detection and boundary estimation from Digital Elevation Model images using different approaches

Authors(s) and Affiliation(s)

CHIMI-CHIADJEU O. (1) ; LE HÉGARAT-MASCLE S. (2) ; VANNIER E. (1) ; TACONET O. (1) ; DUSSÉAUX R. (1) ;
(1) LATMOS/IPSL, Univ. Versailles, Saint-Quentin en Yvelines, FRANCE
(2) IEF, Univ Paris-Sud, Orsay, FRANCE

Abstract

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

Source

Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2014, no118 [pp. 73-83]

Bibliographic references : 1 p.

Collation : 7 fig.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2014.02.003

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
Refdoc record number (ud4) : 28682077 : Permanent link - XML version
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