An improved neural network technique for data dimensionality reduction in remotely sensed imagery

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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:

Publication date: May 1, 2004

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