The Self-adaptive Adjustment Method of Clustering Center in Multi-spectral Remote Sensing Image Classification of Land Use

Abstract : As one kind of remote sensing images of land use composed by various categories of surface objects difficult to obtain multi-distribution model of class spectral feature, analyzing the spectral characteristics of LU of multispectral RS imagery, this paper presents a self-adaptive adjustment of clustering center method. Depending on the intercepted situation of the cluster centers between different features to conduct split, the sub-centers obtained are as the sub-category features and the cluster centers assemble to characterize category model which is better to deal with the problems of LU category composed by various surface objects and category model not satisfying multivariate normal distribution. As there are much differences between the many centers features in the unit of category area, so the selection of training area and the determinants of rules are easy. The results of experiment indicate that the LU classification accuracy is increased between 4% and 6% with this method.
Type de document :
Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.559-568, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_57〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01361030
Contributeur : Hal Ifip <>
Soumis le : mardi 6 septembre 2016 - 15:27:08
Dernière modification le : mardi 6 septembre 2016 - 16:06:04
Document(s) archivé(s) le : mercredi 7 décembre 2016 - 13:50:08

Fichier

978-3-642-27278-3_57_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Shujing Wan, Chengming Zhang, Jiping Liu, Yong Wang, Hui Tian, et al.. The Self-adaptive Adjustment Method of Clustering Center in Multi-spectral Remote Sensing Image Classification of Land Use. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.559-568, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_57〉. 〈hal-01361030〉

Partager

Métriques

Consultations de la notice

168

Téléchargements de fichiers

20