z-logo
open-access-imgOpen Access
Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform
Author(s) -
Liang Mei,
Xiaoqi Wang,
Zhenfeng Gong,
Kun Liu,
Dengxin Hua,
XIAONA Wang
Publication year - 2022
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.454094
Subject(s) - lidar , planetary boundary layer , convolutional neural network , artificial intelligence , computer science , remote sensing , wavelet , covariance , deep learning , wavelet transform , pattern recognition (psychology) , mathematics , geology , meteorology , geography , statistics , turbulence

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom