An improved neural network technique for data dimensionality reduction in remotely sensed imagery
Abstract:An approach for non-linear projection of multidimensional data is discussed with application to remotely sensed imagery. The approach uses a multi-layer neural network in auto-associative mode with an improved updating rule, based on a conjugate gradient. To evaluate the usefulness of the proposed approach, we used the maximum likelihood classifier applied to a Landsat TM image of Kénitra region (Morocco).
Document Type: Research Article
Affiliations: University Ibn Tofaïl, LIRF BP 113 14000 Kénitra Morocco maria_, Email: firstname.lastname@example.org
Publication date: 2004-05-01