A Bidirectional Cross Spatiotemporal Fusion Network with Spectral Restoration for Remote Sensing Imagery

Existing deep learning-based spatiotemporal fusion (STF) methods for remote sensing imagery often focus exclusively on capturing temporal changes or enhancing spatial details while failing to fully leverage spectral information from coarse images. To address these limitations, we propose a Bidirecti...

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Bibliographic Details
Main Authors: Dandan Zhou, Ke Wu, Gang Xu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/12/6649
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