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IEEE Transactions on Image Processing
High-resolution satellite imagery with dense temporal series is crucial for long-term surface change monitoring. Spatiotemporal fusion seeks to reconstruct remote sensing image sequences with both high spatial and temporal resolutions by leveraging prior
Kai Ren +3 more
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High-resolution satellite imagery with dense temporal series is crucial for long-term surface change monitoring. Spatiotemporal fusion seeks to reconstruct remote sensing image sequences with both high spatial and temporal resolutions by leveraging prior
Kai Ren +3 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2023
Land surface temperature (LST) products with high spatial resolution and short revisiting cycles are crucial for environmental studies. However, due to the tradeoff between spatial and temporal resolutions of satellite observations, such data are not ...
Yitao Li, Hua Wu, Hong Chen, Xinming Zhu
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Land surface temperature (LST) products with high spatial resolution and short revisiting cycles are crucial for environmental studies. However, due to the tradeoff between spatial and temporal resolutions of satellite observations, such data are not ...
Yitao Li, Hua Wu, Hong Chen, Xinming Zhu
semanticscholar +1 more source
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network
IEEE Transactions on Geoscience and Remote Sensing, 2023Radar echo extrapolation based on deep learning is an important method for conducting precipitation nowcasting. Radar echo sequence data have spatiotemporal correlations and nonrigid movements of the radar echo.
Wei Fang +3 more
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Spatiotemporal Reflectance Fusion Using a Generative Adversarial Network
IEEE Transactions on Geoscience and Remote Sensing, 2022The spatiotemporal reflectance fusion method is used to blend high-temporal and low-spatial resolution images with their low-temporal and high-spatial resolution counterparts that were previously acquired by various satellite sensors. Recently, a wide variety of learning-based solutions have been developed, but challenges remain.
Cheng Shang +7 more
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StfMLP: Spatiotemporal Fusion Multilayer Perceptron for Remote-Sensing Images
IEEE Geoscience and Remote Sensing Letters, 2023Remote-sensing (RS) images with high spatial and temporal resolutions play a significant role in monitoring periodic landscape changes for earth observation science. To enrich RS images, spatiotemporal fusion (STF) is considered a promising approach. The
Guangsheng Chen +5 more
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IEEE Geoscience and Remote Sensing Letters, 2023
Dense medium-resolution images play an important role in time-series geoscience applications. However, due to technical limitations, remote sensing imaging systems inevitably trade off temporal frequency and spatial swaths, resulting in difficulties to ...
Liupeng Lin +3 more
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Dense medium-resolution images play an important role in time-series geoscience applications. However, due to technical limitations, remote sensing imaging systems inevitably trade off temporal frequency and spatial swaths, resulting in difficulties to ...
Liupeng Lin +3 more
semanticscholar +1 more source
Target detection and recognition improvements by use of spatiotemporal fusion
Applied Optics, 2004We developed spatiotemporal fusion techniques for improving target detection and automatic target recognition. We also investigated real IR (infrared) sensor clutter noise. The sensor noise was collected by an IR (256 x 256) sensor looking at various scenes (trees, grass, roads, buildings, etc.).
Hai-Wen, Chen +2 more
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Wuhan Dataset: A High-Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images
IEEE Geoscience and Remote Sensing LettersThe spatiotemporal fusion is a valid way to provide Earth observation applications with remote sensing images with both high temporal and high spatial resolution. Along with the advancement of remote sensing technology, many spatiotemporal fusion methods
Xingjian Zhang +5 more
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IEEE Sensors Journal
Human activity recognition using sensor data has become a research hotspot in the field of ubiquitous computing and has a wide range of application scenarios in real life. Effectively extracting and fusing the rich spatiotemporal information contained in
Hailin Zou +7 more
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Human activity recognition using sensor data has become a research hotspot in the field of ubiquitous computing and has a wide range of application scenarios in real life. Effectively extracting and fusing the rich spatiotemporal information contained in
Hailin Zou +7 more
semanticscholar +1 more source
Adaptive spatiotemporal multiple sensor fusion
Optical Engineering, 2003We have developed and applied a spatiotemporal fusion framework that uses different fusion strategies across time frames (temporal fusion) as well as between sensors (spatial fusion). We have developed, at the feature level, new and different fusion strategies (additive and minmax fusion) in addition to the traditional strategies (multiplicative, min ...
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