A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial Inpainting

A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial Inpainting

Due to the uneven distribution of ground observatories, the effective data coverage of global ionospheric TEC is below 50%. The International GNSS Service provides a global ionosphere map based on a single shell assumption, derived from the ground-based observations. This serves as the ma...

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Bibliographic Details
Main Authors: Kunlin Yang, Yang Liu, Yifei Chen, Zhizhao Liu, Kaiyan Jin, Yanbo Zhu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Generative adversarial network (GAN)
ionosphere
spatial inpainting
total electron content (TEC)
Online Access:https://ieeexplore.ieee.org/document/11087524/
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https://ieeexplore.ieee.org/document/11087524/

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