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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder

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
semanticscholar   +1 more source

Spatiotemporal Fusion via Conditional Diffusion Model

IEEE Geoscience and Remote Sensing Letters
Spatiotemporal 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
semanticscholar   +1 more source

Multi-Scale Spatiotemporal Feature Fusion Network for Video Saliency Prediction

IEEE transactions on multimedia
Recently, 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
semanticscholar   +1 more source

Spatiotemporal Coverage in Fusion-Based Sensor Networks

2013
Wireless 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
openaire   +2 more sources

Improving agricultural field parcel delineation with a dual branch spatiotemporal fusion network by integrating multimodal satellite data

Isprs Journal of Photogrammetry and Remote Sensing, 2023
Zhiwen Cai   +11 more
semanticscholar   +1 more source

A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends

Remote Sensing Applications Society and Environment, 2023
Juan Xiao   +5 more
semanticscholar   +1 more source

Bioinspired In-Sensor Multimodal Fusion for Enhanced Spatial and Spatiotemporal Association

Nano Letters
Multimodal 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
openaire   +3 more sources

Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG

International Journal of Neural Systems
Electroencephalography (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
openaire   +2 more sources

New Wavelet Based Spatiotemporal Fusion Method

Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing, 2016
Ayoub Mouak   +7 more
openaire   +2 more sources

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