SFT-GAN: Sparse Fast Transformer Fusion Method Based on GAN for Remote Sensing Spatiotemporal Fusion

SFT-GAN: Sparse Fast Transformer Fusion Method Based on GAN for Remote Sensing Spatiotemporal Fusion

Multi-source remote sensing spatiotemporal fusion aims to enhance the temporal continuity of high-spatial, low-temporal-resolution images. In recent years, deep learning-based spatiotemporal fusion methods have achieved significant progress in this field. However, existing methods face three major c...

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Bibliographic Details
Main Authors: Zhaoxu Ma, Wenxing Bao, Wei Feng, Xiaowu Zhang, Xuan Ma, Kewen Qu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
spatiotemporal fusion
remote sensing
multi-source data
generative adversarial network (GAN)
transformer
Online Access:https://www.mdpi.com/2072-4292/17/13/2315
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