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Proceedings Paper

Acquiring hyperspectral remotely sensed image classification rules using inductive learning
Author(s): Lixin Sun; Yimei Zhang
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Paper Abstract

In this paper, an extension matrix based rule inductive learning algorithms have been presented. Exception the introduction of this rule inductive learning algorithm, we proposed a novel algorithm for discreting continuous valued attributes which is essential preprocessing step for applying symbol rule inductive algorithms to remotely sensed data analysis. Some initial results are finally given which can demonstrate the advantages of rule-based classification.

Paper Details

Date Published: 17 August 1998
PDF: 5 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317795
Show Author Affiliations
Lixin Sun, Harbin Engineering Institute (China)
Yimei Zhang, Harbin Normal Univ. (China)

Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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