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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • Vol 18
A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial Inpainting
January 2025 • Kaicheng Yang, Yang Liu, Yifei Chen, Zhizhao Liu, Kaiyan Jin, Yanbo Zhu
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…
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Wavelet Transform
Computer Science
Generative Adversarial Network
Artificial Intelligence
Computer Vision
Algorithm
Geophysics
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