A hybrid architecture with bidirectional gating mechanism for spatiotemporal air quality prediction. [PDF]
Sci RepLi S, Tang B, Deng X, Mi C.
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Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network
IEEE Transactions on Geoscience and Remote Sensing, 2021 © 1980-2012 IEEE. Due to the tradeoff between spatial and temporal resolutions commonly encountered in remote sensing, no single satellite sensor can provide fine spatial resolution land surface temperature (LST) products with frequent coverage.
Zhixiang Yin +2 more
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An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion
Remote Sensing, 2019 Earth observation data with high spatiotemporal resolution are critical for dynamic monitoring and prediction in geoscience applications, however, due to some technique and budget limitations, it is not easy to acquire satellite images with both high ...
Zhenyu Tan, Liping Di, Mingda Zhang
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MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction
Information FusionAir quality spatiotemporal prediction can provide technical support for environmental governance and sustainable city development. As a classic multi-source spatiotemporal data, effective multi-source information fusion is key to achieving accurate air ...
Di Yao, Zezhi Shao, Chengqing Yu
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Spatiotemporal Fusion via Conditional Diffusion Model
IEEE Geoscience and Remote Sensing LettersSpatiotemporal fusion aims to reconstruct sequence remote sensing images in an economically efficient way, for which we observe that the sensor and scale errors can approach the distribution of Gaussian noise.
Yaobin Ma, Qi Wang, Jingbo Wei
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Knowledge Fusion and Spatiotemporal Data Cleaning: A Review
2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning.
Huchen Zhou, Mohan Li, Zhaoquan Gu
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Spatiotemporal Fusion Networks for Video Action Recognition
Neural Processing Letters, 2019Learning spatiotemporal information is a fundamental part in action recognition. In this work, we attempt to extract efficient spatiotemporal information for video representation through a novel architecture, termed as SpatioTemporal Fusion Networks (STFN).
Zheng Liu +2 more
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Spatiotemporal Fusion Transformer for large-scale traffic forecasting
Information FusionZhenghong Wang +8 more
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Enhanced wavelet based spatiotemporal fusion networks using cross-paired remote sensing images
ISPRS Journal of Photogrammetry and Remote SensingZhenyu Tan, Xinghua Li
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Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction
Neural NetworksAccurate traffic flow forecasting is critical for intelligent transportation systems, yet increasing model complexity in spatiotemporal graph neural networks does not always yield proportional gains.
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