Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform

Research article (Optics Express, 2022) · cited 14× · AI/ML
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Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform

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Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform is a scholarly article[1].

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  • Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/retrieval-of-the-planetary-boundary-layer-height-from-lidar-measurements-by-a-deep-learning-method-based-on-the-wavelet-
MLA “Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retrieval-of-the-planetary-boundary-layer-height-from-lidar-measurements-by-a-deep-learning-method-based-on-the-wavelet-.
BibTeX @misc{4ortxyz_retrieval-of-the-planetary-boundary-layer-height-from-lidar-measurements-by-a-deep-learning-method-based-on-the-wavelet-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform}}, year = {2026}, url = {https://4ort.xyz/entity/retrieval-of-the-planetary-boundary-layer-height-from-lidar-measurements-by-a-deep-learning-method-based-on-the-wavelet-}, note = {Accessed: 2026-05-24}}
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