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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Feature extraction and connectionist classification of SODAR echograms
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Feature extraction and connectionist classification of SODAR echograms

机译:SODAR回波图的特征提取和连接分类

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摘要

Sonic detection and ranging (SODAR) systems are efficient and economical tool to probe the lower planetary boundary layer on a continuous basis. The lower atmospheric patterns (each depicting a different atmospheric condition) recorded by this system can prove to be extremely useful if classified and interpreted correctly. The manual identification of these SODAR patterns is a laborious task and requires considerable expertise. A connectionist system has already been developed by the authors to automate the process to some extent. In this letter, we enhance its generalization of performance, by incorporating feature extraction using the fast Fourier transform. The results are compared with that in earlier work to demonstrate its effectiveness.
机译:声波探测和测距(SODAR)系统是一种高效且经济的工具,可连续探测较低的行星边界层。如果正确分类和解释,此系统记录的较低的大气模式(每个都描述不同的大气条件)可以证明是非常有用的。手动识别这些SODAR模式是一项艰巨的任务,需要大量的专业知识。作者已经开发了连接系统,可以在一定程度上实现流程自动化。在这封信中,我们通过使用快速傅里叶变换合并特征提取来增强其性能概括。将结果与早期工作进行比较以证明其有效性。

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