Techniques For Multispectral Image Classification

Mark J. Carlotto

doi:10.1117/12.946418

22 July 1985 Techniques For Multispectral Image Classification

Mark J. Carlotto

Proceedings Volume 0528, Digital Image Processing; (1985) https://doi.org/10.1117/12.946418
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States

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.

Citation Download Citation

Mark J. Carlotto "Techniques For Multispectral Image Classification", Proc. SPIE 0528, Digital Image Processing, (22 July 1985); https://doi.org/10.1117/12.946418

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