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TIF: A time-series-based image fusion algorithm

delete2025-10-02
delete0
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OA
AI
K
Kexin Song *
Z
Zhe Zhu *
S
Shi Qiu
P
Pontus Olofsson
C
C. S. R. Neigh
J
Junchang Ju
Q
Qiang Zhou
DOI：10.1016/j.rse.2025.115035delete
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Abstract

Abstract

En 中文
• A novel satellite spatial-temporal fusion algorithm called TIF is proposed. • TIF creates 10-m harmonized Landsat and Sentinel-2 surface reflectance time series. • TIF outperforms other state-of-the-art methods in spectral and spatial accuracy. • TIF operates purely on time-series data, without requiring image pairs. • TIF predictions can be used for detecting land changes.
Keywords:
Landsat
Sentinel-2
HLS
TIF
Data fusion
Time series
Change detection
Harmonization
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Remote Sensing of Environment cover
Remote Sensing of Environment
IF:
11.4
Papers:
1.1W
Citations:
9.4W

Organization

N
NASA Goddard Space Flight Center
Scholars:
1.0W
Papers: 7.7K
Citations: 16
U
University of Connecticut
Scholars:
2.4W
Papers: 2.2W
Citations: 2.5W
N
NASA Marshall Space Flight Center
Scholars:
607
Papers: 411
Citations: 0
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