Détail de l'autorité
|
CGIV 2008 & MCS 2008, 4th European conference on colour in graphics, imaging, and vision & 10th international symposium on Multispectral colour science 09/06/2008 13/06/2008 Barcelone Espagne
nom du congrès :
CGIV 2008 & MCS 2008, 4th European conference on colour in graphics, imaging, and vision & 10th international symposium on Multispectral colour science
début du congrès :
09/06/2008
fin du congrès :
13/06/2008
ville du congrès :
Barcelone
pays du congrès :
Espagne
|
Documents disponibles (1)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Titre : Unsupervised Image Segmentation based on Texems for Hyperspectral data Type de document : Article/Communication Auteurs : Adolfo Martinez-Uso, Auteur ; Filiberto Pla, Auteur ; Pedro Garcia-Sevilla, Auteur Editeur : Society for Imaging Science and Technology Année de publication : 2008 Conférence : CGIV 2008 & MCS 2008, 4th European conference on colour in graphics, imaging, and vision & 10th international symposium on Multispectral colour science 09/06/2008 13/06/2008 Barcelone Espagne Importance : pp 312 - 315 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image hyperspectrale
[Termes IGN] segmentation d'imageRésumé : (auteur) There is no doubt about how useful and valuable the information provided by the hyperspectral sensors can be. Image
segmentation procedures can take advantage of this information to increase the ability for separating different textures in an image. A multiscale approach for segmenting hyperspectral images is presented in this work. The method is based on the recently proposed texem model which has been extended in this work to spaces of high dimensionality. Furthermore, the hyperspectral extension of the texem-based segmentation would be computationally impracticable without a prior step for reducing the dimensionality. Thus, a band selection process based on the mutual information among bands has also been applied. The complete process is particularly useful in applications for remote sensing or quality inspection tasks.Numéro de notice : C2008-035 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103092
