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

TitleAn improved neural network technique for data dimensionality reduction in remotely sensed imagery
Publication TypeJournal Article
Year of Publication2004
AuthorsM Idrissi, J., Sbihi A., & Touahni R.
JournalInternational Journal of Remote Sensing
Volume25
Pagination1981-1986
Keywordsdata dimensionality reduction, Neural networks, non-linear projection (voyant), Remote sensing
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).