An Improved Tropospheric Tomographic Model Based on Artificial Neural Network-Reference-Cited by-同舟云学术

An Improved Tropospheric Tomographic Model Based on Artificial Neural Network

Published:2023 Issue: Volume:16 Page:4801-4819
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Minghao¹^ORCID,Zhang Kefei¹^ORCID,Wu Suqin¹^ORCID,Li Longjiang¹,Zhu Dantong¹^ORCID,Wan Moufeng¹^ORCID,Sun Peng¹^ORCID,Shi Jiaqi²,Liu Shangyi¹^ORCID,Hu Andong³

Affiliation:

1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China

2. GNSS Research Center, Wuhan University, Wuhan, China

3. Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10130398.pdf?arnumber=10130398

Reference47 articles.

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5. 4D wet refractivity estimation in the atmosphere using GNSS tomography initialized by radiosonde and AIRS measurements: results from a 1-week intensive campaign

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