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Proceedings Paper

Is there a best classifier?
Author(s): John Richards
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Paper Abstract

The question of whether there is a preferred or best classifier to use with remotely sensed data is discussed, focussing on likely results and ease of training. By appealing in part to the No Free Lunch Theorem, it is suggested that there is really no superiority of one well trained algorithm over another, but rather it is the means by which the algorithm is employed - ie. the classification methodology - that often governs the outcomes.

Paper Details

Date Published: 19 October 2005
PDF: 12 pages
Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59820A (19 October 2005); doi: 10.1117/12.637223
Show Author Affiliations
John Richards, The Australian National Univ. (Australia)


Published in SPIE Proceedings Vol. 5982:
Image and Signal Processing for Remote Sensing XI
Lorenzo Bruzzone, Editor(s)

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