IT-STF: A Fast and Imperfect Input Tolerant Spatio-Temporal Fusion Method Article Swipe
Yaozong Ding
,
Yan Liu
,
Xingfa Gu
,
Hong Guo
,
Yulin Zhan
,
Juan Li
,
Qian Zhang
,
Yang Yang
,
Jianli Shi
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2025.3593994
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2025.3593994
Spatial–temporal fusion (STF) technology has emerged as a cost-effective and convenient solution for obtaining dense time-series high-resolution satellite images. Large-scale applications require a practical STF method that is fast and robust to be used in various climate zones and with various input data qualities. Current spatio-temporal fusion methods require manual selection of cloud-free input images and exhibit inefficiencies in data production, rendering them unsuitable for large-scale applications. To solve this issue, this study proposes the Imperfect input tolerant STF (IT-STF) method, which consists of three parts: quality control of imperfect inputs, fast window-by-window fusion of images, and compensation of spectral and spatial information. This method utilizes time-series data and incorporates a quality control process before spatio-temporal fusion. It also combines the advantages of existing fast fusion methods to compute the fusion coefficients for all bands on a window-by-window basis. The experiments demonstrate that compared with the four traditional methods, the fusion results of the IT-STF method provide higher accuracy under different climates and land cover types in regions with frequent cloudy days. In terms of computational efficiency, IT-STF is comparable to the fast STF method. In terms of large-area data production, IT-STF maintains higher consistency among adjacent slices.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jstars.2025.3593994
- OA Status
- gold
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412795725
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https://openalex.org/W4412795725Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jstars.2025.3593994Digital Object Identifier
- Title
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IT-STF: A Fast and Imperfect Input Tolerant Spatio-Temporal Fusion MethodWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
-
Yaozong Ding, Yan Liu, Xingfa Gu, Hong Guo, Yulin Zhan, Juan Li, Qian Zhang, Yang Yang, Jianli ShiList of authors in order
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https://doi.org/10.1109/jstars.2025.3593994Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/jstars.2025.3593994Direct OA link when available
- Concepts
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Computer science, Imperfect, Fusion, Algorithm, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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68Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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