EST-STFM: An Efficient Deep-Learning-Based Spatiotemporal Fusion Method for Remote Sensing Images

Spatiotemporal fusion methods address the limitation that a single satellite cannot simultaneously provide high spatial and temporal resolution imagery. By integrating images with different spatial and temporal characteristics, it is possible to generate remote sensing data with enhanced detail and...

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Hlavní autoři:	Qiyuan Zhang, Xiaodan Zhang, Chen Quan, Tong Zhao, Wei Huo, Yuanchen Huang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Multisource satellite remote sensing spatiotemporal fusion (STF) Top-<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$K$</tex-math> </inline-formula> </named-content> </named-content> </named-content> Transformer
On-line přístup:	https://ieeexplore.ieee.org/document/11074731/
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