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

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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

DOI: http://dx.doi.org/10.1080/01431160110069881

Affiliations: University Ibn Tofaïl, LIRF BP 113 14000 Kénitra Morocco maria_, Email: janati@hotmail.com

Publication date: May 1, 2004

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