• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >Generalized Bayesian cloud detection for satellite imagery. Part 1: Technique and validation for night-time imagery over land and sea
【24h】

Generalized Bayesian cloud detection for satellite imagery. Part 1: Technique and validation for night-time imagery over land and sea

机译：卫星图像的广义贝叶斯云检测。第1部分：陆地和海上夜间成像的技术和验证

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

Numerical Weather Prediction (NWP) fields are used to assist the detection of cloud in satellite imagery. Simulated observations based on NWP are used within a framework based on Bayes' theorem to calculate a physically-based probability of each pixel with an imaged scene being clear or cloudy. Different thresholds can be set on the probabilities to create application-specific cloud-masks. Here, this is done over both land and ocean using night-time (infrared) imagery. We use a validation dataset of difficult cloud detection targets for the Spinning Enhanced Visible and Infrared Imager (SEVIRI) achieving true skill scores of 87% and 48% for ocean and land, respectively using the Bayesian technique, compared to 74% and 39%, respectively for the threshold-based techniques associated with the validation dataset.
机译：数值天气预报（NWP）字段用于辅助卫星图像中云的检测。在基于贝叶斯定理的框架中使用基于NWP的模拟观察值，以计算成像场景清晰或多云时每个像素的基于物理的概率。可以在概率上设置不同的阈值，以创建特定于应用程序的云掩码。在这里，这是使用夜间（红外）图像在陆地和海洋上完成的。我们使用旋转增强型可见光和红外成像仪（SEVIRI）的困难云检测目标验证数据集，使用贝叶斯技术分别对海洋和陆地的真实技能得分分别为87％和48％，相比之下，分别为74％和39％，分别用于与验证数据集相关联的基于阈值的技术。

著录项

  • 来源
    《International journal of remote sensing》 |2010年第10期|P.2573-2594|共22页
  • 作者

    S. MACKIE; O. EMBURY; C. OLD; C. J. MERCHANT; P. FRANCIS;

  • 作者单位

    School of Geosciences, University of Edinburgh, King's Buildings, West Main Road, Edinburgh EH9 3JN, UK;

    rnSchool of Geosciences, University of Edinburgh, King's Buildings, West Main Road, Edinburgh EH9 3JN, UK;

    School of Geosciences, University of Edinburgh, King's Buildings, West Main Road, Edinburgh EH9 3JN, UK;

    School of Geosciences, University of Edinburgh, King's Buildings, West Main Road, Edinburgh EH9 3JN, UK;

    rnSatellite Applications, Numerical Weather Prediction, Meteorological Office, Exeter, Devon EX1 3PB, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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