Results 31 to 40 of about 1,249,287 (318)
The coastal environment is characterized by high, multi-scale dynamics and the corresponding observations from a single remote sensing sensor are still facing challenges in achieving both high temporal and spatial resolution.
Rugang Tang +4 more
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Progressive spatiotemporal image fusion with deep neural networks
Spatiotemporal image fusion (STIF) provides a feasible and effective solution for generating satellite images with high spatial and temporal resolution.
Jiajun Cai, Bo Huang, Tung Fung
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Spatiotemporal Fusion Transformer for Video Demoiréing
Ji-Wei Wang, Li-Yong Shen
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Spatiotemporal Fusion in 3D CNNs: A Probabilistic View [PDF]
Despite the success in still image recognition, deep neural networks for spatiotemporal signal tasks (such as human action recognition in videos) still suffers from low efficacy and inefficiency over the past years. Recently, human experts have put more efforts into analyzing the importance of different components in 3D convolutional neural networks ...
Yizhou Zhou +4 more
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Spatiotemporal Fusion With Only Two Remote Sensing Images as Input
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
doaj +1 more source
Spatiotemporal Fusion in Remote Sensing
Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying acquisition (e.g., atmosphere and season), sensor and platform (e.g., satellite angles and sensor ...
Hessah Albanwan, Rongjun Qin
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Gait recognition under carrying condition : a static dynamic fusion method [PDF]
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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Slow muscles guide fast myocyte fusion to ensure robust myotome formation despite the high spatiotemporal stochasticity of fusion events [PDF]
Skeletal myogenesis is dynamic, and it involves cell-shape changes together with cell fusion and rearrangements. However, the final muscle arrangement is highly organized with striated fibers.
Mendieta-Serrano, Mario A. +9 more
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The spatiotemporal fusion technique has the advantages of generating time-series images with high-spatial and high-temporal resolution from coarse-resolution to fine-resolution images.
Tee-Ann Teo, Yu-Ju Fu
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A deep learning approach for deriving wheat phenology from near-surface RGB image series using spatiotemporal fusion. [PDF]
Accurate monitoring of wheat phenological stages is essential for effective crop management and informed agricultural decision-making. Traditional methods often rely on labour-intensive field surveys, which are prone to subjective bias and limited ...
Cai Y +8 more
europepmc +2 more sources

