A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial Inpainting Article Swipe
Kaicheng Yang
,
Yang Liu
,
Yifei Chen
,
Zhizhao Liu
,
Kaiyan Jin
,
Yanbo Zhu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2025.3591103
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2025.3591103
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 main reference for global ionosphere morphology study. In this work, a new GAN model, wavelet transform and merging generative adversarial network (WTM-GAN) is proposed, designed for spatial completion of ionospheric TEC data with observation coverage deficiency. WTM-GAN is designed with an encoder–decoder architecture, using a Haar wavelet filter and a multilayer decoder employing segmentation and merging techniques. The performance is rigorously tested, achieving root-mean-square errors of 2.117 TECu and 0.908 TECu during both high and low solar activity years, respectively, and it obtains improvement of 0.945 TECu and 0.739 TECu over the comparison models. It also attained a peak signal-to-noise ratio over 32 dB, outperforming all comparisons. During geomagnetic storms, WTM-GAN effectively captures features in the equatorial ionization anomaly region, demonstrating enhanced spatial observation augmentation accuracy and stability. This framework offers a robust solution for TEC data completion, improving the reliability of ionospheric studies.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jstars.2025.3591103
- OA Status
- gold
- References
- 42
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4412567238Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jstars.2025.3591103Digital Object Identifier
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A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial InpaintingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-01-01Full publication date if available
- Authors
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Kaicheng Yang, Yang Liu, Yifei Chen, Zhizhao Liu, Kaiyan Jin, Yanbo ZhuList of authors in order
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https://doi.org/10.1109/jstars.2025.3591103Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/jstars.2025.3591103Direct OA link when available
- Concepts
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TEC, Inpainting, Wavelet transform, Computer science, Adversarial system, Generative adversarial network, Artificial intelligence, Wavelet, Computer vision, Pattern recognition (psychology), Image (mathematics), Algorithm, Geology, Geophysics, IonosphereTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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