An improved neural network technique for data dimensionality reduction in remotely sensed imagery
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).
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Document Type: Research Article
Affiliations: University Ibn Tofaïl, LIRF BP 113 14000 Kénitra Morocco maria_, Email: [email protected]
Publication date: 01 May 2004