Centre de documentation
scientifique

Discrimination of agricultural crops in a tropical semi-arid region of Brazil based on L-band polarimetric airborne SAR data / W. Silva in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 5 (September - October 2009) . - pp 458 - 463 Titre : Discrimination of agricultural crops in a tropical semi-arid region of Brazil based on L-band polarimetric airborne SAR data Type de document : Article/Communication Auteurs : W. Silva, Auteur ; B. Rudorff, Auteur ; A. Formaggio, Auteur ; W. Paradella, Auteur ; J. Mura, Auteur Année de publication : 2009 Article en page(s) : pp 458 - 463 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] Amérique tropicale [Termes IGN] analyse discriminante [Termes IGN] Bahia (Brésil) [Termes IGN] bande L [Termes IGN] classificateur [Termes IGN] Coffea (genre) [Termes IGN] cultures [Termes IGN] Gossypium (genre) [Termes IGN] image aérienne [Termes IGN] image radar moirée [Termes IGN] milieu tropical [Termes IGN] polarimétrie radar [Termes IGN] polarisation [Termes IGN] prise en compte du contexte [Termes IGN] rétrodiffusion [Termes IGN] zone intertropicale [Termes IGN] zone semi-aride Résumé : (Auteur) Recent articles are indicating that polarimetric data provide significantly more information than conventional or multi-polarized images, particularly due to the additional phase information. The objective of this paper is to evaluate the multi-polarized and fully polarimetric L-band airborne SAR-R99B data, in terms of their capability to distinguish among different agricultural crops in the western part of Bahia State, Brazil. Emphasis was given to coffee, cotton and pasture crops which were at well developed growing stages. Discrimination among crops was carried out using graphical analysis of mean backscatter values. Crop classification was performed for single and multiple polarizations, and fully polarimetric images with a classifier that uses the contextual Iterated Conditional Modes–ICM algorithm. The investigation confirmed the potential of L-band multi-polarized and polarimetric airborne SAR-R99B data to distinguish and classify agricultural crops in the tropical condition of the test-site. In addition, it clearly indicated the gradual and considerable improvement that was achieved going from single to three polarizations and from multi-polarized to fully polarimetric images. Copyright ISPRS Numéro de notice : A2009-398 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.07.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.07.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30029 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-09051	SL	Revue	Centre de documentation	Revues en salle	Disponible