首页> 外文期刊>International Journal of Engineering and Technology >WAVELET TRANSFORM METHOD FOR DERIVING ATMOSPHERIC BOUNDARY LAYER HEIGHT FROM LIDAR SIGNALS
【24h】

WAVELET TRANSFORM METHOD FOR DERIVING ATMOSPHERIC BOUNDARY LAYER HEIGHT FROM LIDAR SIGNALS

机译:小波变换方法从激光雷达信号推导大气边界层高度

获取原文
           

摘要

Wavelet method of determining the atmospheric boundary layer (ABL) height from lidar signals is presented in this paper. The wavelet covariance transform (WCT) method employed determines the significant gradient in the measured lidar signals. Using this method, the accuracy of ABL height detection enhances with increased dilation length. The developed wavelet algorithm is coded in MATLAB software and has a provision to alter the dilation length in real-time for a given translation estimate.
机译:提出了一种利用激光雷达信号确定大气边界层高度的小波方法。所采用的小波协方差变换(WCT)方法确定了所测得的激光雷达信号中的明显梯度。使用这种方法,ABL高度检测的准确性会随着扩张长度的增加而提高。所开发的小波算法在MATLAB软件中进行了编码,并且可以针对给定的翻译估算值实时更改膨胀长度。

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