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An object-based sparse representation model for spatiotemporal image fusion [PDF]
Scientific Reports, 2022 Many algorithms have been proposed for spatiotemporal image fusion on simulated data, yet only a few deal with spectral changes in real satellite images.
Afshin Asefpour Vakilian +1 more
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MSISR-STF: Spatiotemporal Fusion via Multilevel Single-Image Super-Resolution
Remote Sensing, 2023 Due to technological limitations and budget constraints, spatiotemporal image fusion uses the complementarity of high temporal–low spatial resolution (HTLS) and high spatial–low temporal resolution (HSLT) data to obtain high temporal and spatial ...
Xiongwei Zheng +5 more
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A Multiscale Spatiotemporal Fusion Network Based on an Attention Mechanism
Remote Sensing, 2022 Spatiotemporal fusion is an effective and cost-effective method to obtain both high temporal resolution and high spatial resolution images. However, existing methods do not sufficiently extract the deeper features of the image, resulting in fused images ...
Zhiqiang Huang +7 more
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Remote Sensing, 2022 With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal ...
Hongwei Zhang +3 more
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Remote Sensing, 2021 The spatiotemporal fusion technique has the advantages of generating time-series images with high-spatial and high-temporal resolution from coarse-resolution to fine-resolution images.
Tee-Ann Teo, Yu-Ju Fu
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A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectance fusion model (STARFM), sparse representation based ...
K. Hazaymeh, A. Almagbile
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Remote Sensing, 2023 Over one hundred spatiotemporal fusion algorithms have been proposed, but convolutional neural networks trained with large amounts of data for spatiotemporal fusion have not shown significant advantages. In addition, no attention has been paid to whether
Jingbo Wei +3 more
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Remote Sensing, 2021 High-frequency monitoring of suspended particulate matter (SPM) concentration can improve water resource management. Missing high-resolution satellite images could hamper remote-sensing SPM monitoring.
Changjiang Liu +5 more
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Dual-Branch Remote Sensing Spatiotemporal Fusion Network Based on Selection Kernel Mechanism
Remote Sensing, 2022 Popular deep-learning-based spatiotemporal fusion methods for creating high-temporal–high-spatial-resolution images have certain limitations. The reconstructed images suffer from insufficient retention of high-frequency information and the model suffers ...
Weisheng Li, Fengyan Wu, Dongwen Cao
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Remote Sensing, 2022 Remote sensing images with high temporal and spatial resolutions play a crucial role in land surface-change monitoring, vegetation monitoring, and natural disaster mapping.
Weisheng Li, Dongwen Cao, Minghao Xiang
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