A new ART neural networks for remote sensing image classification

被引：0

作者：

Liu, AF ^{[1
]}

Li, BC ^{[1
]}

Chen, G ^{[1
]}

Zhang, XF ^{[1
]}

机构：

[1] Informat Engn Univ, Zhengzhou 450002, Henan, Peoples R China

来源：

ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS | 2005年 / 3611卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new ART2A-C algorithm based on fuzzy operators to cluster the remote sensing images and aerials is proposed in this paper. By combining two ART ANNs with higher performance, the traditional ART2A-C is developed with the fuzzy operators introduced in matching rule. Then the proposed method is applied to the classification and the new network is implemented as well as two other existed ARTs respectively. Experimental results show that the new method outperforms the traditional bones.

引用

页码：37 / 42

页数：6

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