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Proceedings Paper

Techniques For Multispectral Image Classification
Author(s): Mark J. Carlotto
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Paper Abstract

Over the last twenty years a variety of pattern recognition techniques for classifying terrain and cultural features using multi-spectral imagery have been developed. The purpose of this paper is to review and assess representative methods from major technique classes categorized according to the kinds of pattern models used (statistical, or heuristic), the types of information used (spectral, textural, spatial, and contextual), the manner in which they are applied to the image (i.e., to pixels or regions), and the manner in which they partition the image into classes (e.g., single step or hierarchical). An assessment of the accuracy, computational efficiency, and reliability is performed and trends in the technology are identified.

Paper Details

Date Published: 22 July 1985
PDF: 18 pages
Proc. SPIE 0528, Digital Image Processing, (22 July 1985); doi: 10.1117/12.946418
Show Author Affiliations
Mark J. Carlotto, The Analytic Sciences Corporation (United States)


Published in SPIE Proceedings Vol. 0528:
Digital Image Processing
Andrew G. Tescher, Editor(s)

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