Document Type

Article

Journal/Book Title/Conference

Proceedings of SPIE

Issue

3074

Publication Date

1-1-1997

First Page

104

Last Page

108

DOI

10.1117/12.280611

Abstract

The application ofpnncipal components analysis (PCA) to multispectral satellite images is a routine way to present the data in false-color composite images. These composite images include a very high percentage of available information and have no correlation between the displayed colors. PCA routines are included in commercial GIS software, and custom algorithms are in wide use. This paper describes an early application of a new, genetic algorithm based, PCA routine. Landsat data for an Idaho farm were evaluated for temporal changes using this new algorithm, and the eigenvalues consistently converged with excellent results.

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