• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Remote sensing for environmental monitoring, GIS applications, and geology IX >From fuzzy and object based classification to fuzzy and object based uncertainty evaluation
【24h】

From fuzzy and object based classification to fuzzy and object based uncertainty evaluation

机译：从模糊和基于对象的分类到模糊和基于对象的不确定性评估

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

Regarding thematic processing of remote sensing data new problems have arisen with the rapid increase of geometric and spectral resolution. These have been partly solved through the application of object oriented methods and alternative (e.g. fuzzy logic) approaches for the actual allocation of a feature to a topographical object whereas these methods do not apply comprehensively to the quality assessment of the processed data. We present an integrated approach for the assessment of classified high-resolution remote sensing scenes which considers uncertainties - not only in the classified data but in the reference ("ground truth") data as well. Instead of discrete object boundaries we define transition zones between adjacent objects; a fuzzy function describes the distribution of class membership values within these zones. Thus we can compute an evaluation measure on the basis of the uncertainty model - the CFCM (Class-specific Fuzzy Certainty Measure) provides a quality assessment for classified remote sensing data considering uncertainties in geometry and semantics. The work is part of the project "CLassification Assessment using an Integrated Method (CLAIM)".
机译：关于遥感数据的专题处理，随着几何和光谱分辨率的迅速提高，出现了新的问题。这些问题已通过应用面向对象的方法和将特征实际分配给地形对象的替代方法（例如模糊逻辑）得到了部分解决，而这些方法并未全面应用于处理后数据的质量评估。我们提出了一种评估分类的高分辨率遥感场景的综合方法，该方法考虑了不确定性-不仅在分类数据中，而且在参考（“地面真相”）数据中也存在不确定性。代替离散的对象边界，我们定义相邻对象之间的过渡区域。模糊函数描述了这些区域内类成员资格值的分布。因此，我们可以在不确定性模型的基础上计算评估度量-CFCM（特定类模糊确定性度量）针对考虑了几何和语义不确定性的分类遥感数据提供质量评估。这项工作是“使用综合方法进行CLassification评估（CLAIM）”项目的一部分。

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