Acquiring hyperspectral remotely sensed image classification rules using inductive learning

Lixin Sun; Yimei Zhang

doi:10.1117/12.317795

17 August 1998 Acquiring hyperspectral remotely sensed image classification rules using inductive learning

Lixin Sun, Yimei Zhang

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317795
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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.

Citation Download Citation

Lixin Sun and Yimei Zhang "Acquiring hyperspectral remotely sensed image classification rules using inductive learning", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317795

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