【24h】

A New ART Neural Networks for Remote Sensing Image Classification

机译:遥感图像分类的新型ART神经网络

获取原文
获取原文并翻译 | 示例

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 ones.
机译:提出了一种新的基于模糊算子的ART2A-C算法,对遥感影像和天线进行聚类。通过将两个具有较高性能的ART人工神经网络相结合,使用匹配规则中引入的模糊算子来开发传统的ART2A-C。然后将所提出的方法应用于分类并实现新网络以及分别存在的另外两个ART。实验结果表明,该新方法优于传统方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号