Results 21 to 30 of about 32,837 (284)
Remote Sensing, 2022 Reliable quantitative precipitation forecasting is essential to society. At present, quantitative precipitation forecasting based on weather radar represents an urgently needed, yet rather challenging.
Liangchao Geng +4 more
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Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images
SensorsRemote sensing images captured by satellites play a critical role in Earth observation (EO). With the advancement of satellite technology, the number and variety of remote sensing satellites have increased, which provide abundant data for precise ...
Zilong Lian +5 more
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Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction [PDF]
IEEE Access, 2020 A plethora of information is now readily available for traffic prediction, making an effective use of them enables better traffic planning. With data coming from multiple sources, and their features spanning spatial and temporal dimensions, there is an increasing demand to exploit them for accurate traffic prediction.
Baoxin Zhao +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Spatiotemporal fusion of land surface temperature (LST) has a vital significance in studying the temporal and spatial variation of urban heat islands.
Chenlie Shi +4 more
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Spatiotemporal Fusion With Only Two Remote Sensing Images as Input
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Spatiotemporal data fusion is an effective way of generating a dense time series with a high spatial resolution. Traditionally, the spatiotemporal fusion models, especially the popular ones such as the spatial and temporal adaptive reflectance fusion ...
Jingan Wu +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2021 Spatiotemporal fusion has provided a feasible way to generate fractional vegetation cover (FVC) data with high spatial and temporal resolution. However, when the currently available spatiotemporal fusion methods are applied over agricultural regions ...
Guofeng Tao +8 more
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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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Spatiotemporal Data Fusion for Precipitation Nowcasting
CoRR, 2018 Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions covered by ground-based radars. Truly global precipitation nowcasting requires fusion of radar and satellite observations.
Vladimir Ivashkin, Vadim Lebedev
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Gait recognition under carrying condition : a static dynamic fusion method [PDF]
, 2012 When an individual carries an object, such as a briefcase, conventional gait recognition algorithms based on average silhouette/Gait Energy Image (GEI) do not always perform well as the object carried may have the potential of being mistakenly regarded ...
Hu, Yongjian +5 more
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Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment [PDF]
Environmetrics, 2019 AbstractConcentrations of near‐road air pollutants (NRAPs) have increased to very high levels in many urban centers around the world, particularly in developing countries. The adverse health effects of exposure to NRAPs are greater when the exposure occurs in the near‐road environment as compared to background levels of pollutant concentration ...
Gilani, Owais +2 more
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