MSRGAN: A Multi-Scale Residual GAN for High-Resolution Precipitation Downscaling

MSRGAN: A Multi-Scale Residual GAN for High-Resolution Precipitation Downscaling

To address the challenge of insufficient spatial resolution in remote sensing precipitation data, this paper proposes a novel Multi-Scale Residual Generative Adversarial Network (MSRGAN) for reconstructing high-resolution precipitation images. The model integrates multi-source meteorological informa...

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Bibliographic Details
Main Authors: Yida Liu, Zhuang Li, Guangzhen Cao, Qiong Wang, Yizhe Li, Zhenyu Lu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
precipitation downscaling
generative adversarial network
multi-scale features
high-resolution reconstruction
deep learning
extreme precipitation detection
Online Access:https://www.mdpi.com/2072-4292/17/13/2281
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