• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Pattern recognition >Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis
【24h】

Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis

机译：使用具有不确定性和歧义性输出分析的神经网络检测沙尘暴

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Dust storms are meteorological phenomena that may affect human life. Therefore, it is of great interest to work towards the development of a stand-alone dust storm detection system that may help to prevent and/or counteract its negative effects. This work proposes a dust storm detection system based on an Artificial Neural Network, ANN. The ANN is designed to identify not just dust sterm areas but also vegetation and soil. The proposed ANN works on information obtained from multispectral images acquired with the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. Before the multispectral information is fed to the ANN a process to remove cloud regions from images is performed in order to reduce the computational burden. A method to manage undefined and ambiguous ANN outputs is also proposed in the paper which significantly reduces the false positives rate. Results of this research present a suitable performance at detecting the dust storm events.
机译：沙尘暴是可能影响人类生活的气象现象。因此，致力于开发可以帮助预防和/或抵消其负面影响的独立沙尘暴检测系统具有极大的兴趣。这项工作提出了基于人工神经网络，ANN的沙尘暴检测系统。人工神经网络不仅可以识别沙尘暴地区，还可以识别植被和土壤。拟议的人工神经网络处理从使用中分辨率成像光谱仪（MODIS）仪器获得的多光谱图像中获得的信息。在将多光谱信息馈送到ANN之前，要执行从图像中去除云区域的过程，以减少计算负担。本文还提出了一种管理不确定和模棱两可的人工神经网络输出的方法，该方法可显着降低误报率。这项研究的结果为检测沙尘暴事件提供了合适的性能。

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