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IEEE Transactions on Geoscience and Remote Sensing, 2022
High spatiotemporal resolution land surface temperature (LST) data are essential for dynamic monitoring and prediction in climate change research. Due to the limitations of remote sensing instruments, the current platforms have difficulty achieving a ...
Yuncheng Chen+4 more
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High spatiotemporal resolution land surface temperature (LST) data are essential for dynamic monitoring and prediction in climate change research. Due to the limitations of remote sensing instruments, the current platforms have difficulty achieving a ...
Yuncheng Chen+4 more
semanticscholar +1 more source
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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Multi-Scale Spatiotemporal Feature Fusion Network for Video Saliency Prediction
IEEE transactions on multimediaRecently, video saliency prediction has attracted increasing attention, yet the improvement of its accuracy is still subject to the insufficient use of multi-scale spatiotemporal features.
Yunzuo Zhang+3 more
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Spatiotemporal Coverage in Fusion-Based Sensor Networks
2013Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. As a fundamental performance measure of WSNs, coverage characterizes how well a sensing field is monitored by a network. Two facets of coverage, i.e., spatial coverage and temporal coverage, quantify the
Guoliang Xing, Rui Tan
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Isprs Journal of Photogrammetry and Remote Sensing, 2023
Zhiwen Cai+11 more
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Zhiwen Cai+11 more
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A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends
Remote Sensing Applications Society and Environment, 2023Juan Xiao+5 more
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Remote Sensing of Environment, 2023
Shuangshuang Chen, Jie Wang, P. Gong
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Shuangshuang Chen, Jie Wang, P. Gong
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Bioinspired In-Sensor Multimodal Fusion for Enhanced Spatial and Spatiotemporal Association
Nano LettersMultimodal perception can capture more precise and comprehensive information compared with unimodal approaches. However, current sensory systems typically merge multimodal signals at computing terminals following parallel processing and transmission, which results in the potential loss of spatial association information and requires time stamps to ...
Sijie Ma+8 more
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Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG
International Journal of Neural SystemsElectroencephalography (EEG) plays a crucial role in epilepsy analysis, and epileptic seizure prediction has significant value for clinical treatment of epilepsy. Currently, prediction methods using Convolutional Neural Network (CNN) primarily focus on local features of EEG, making it challenging to simultaneously capture the spatial and temporal ...
Dezan Ji+6 more
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New Wavelet Based Spatiotemporal Fusion Method
Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing, 2016Ayoub Mouak+7 more
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