Results 41 to 50 of about 54,901 (283)

Spatiotemporal evolution of runaway electrons from synchrotron images in Alcator C-Mod

, 2018
In the Alcator C-Mod tokamak, relativistic runaway electron (RE) generation can occur during the flattop current phase of low density, diverted plasma discharges.
Embréus, O., Granetz, R. S., Hoppe, M., Tinguely, R. A.   +3 more
core   +1 more source

Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
We propose a novel spatiotemporal fusion method based on deep convolutional neural networks (CNNs) under the application background of massive remote sensing data. In the training stage, we build two five-layer CNNs to deal with the problems of complicated correspondence and large spatial resolution gaps between MODIS and Landsat images.
Huihui Song, Qingshan Liu, Guojie Wang, Renlong Hang, Bo Huang   +4 more
openaire   +1 more source

A Spatiotemporal Illumination Model for 3d Image Fusion in Optical Coherence Tomography

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
Comment: Presented orally & as poster on 20th April 2023 at the IEEE International Symposium on Biomedical Imaging (ISBI) in Cartagena, Colombia. 6 pages, 3 figures. You can find the official version with broken equations and bad contrast figures under https://ieeexplore.ieee.org/document ...
Ploner, Stefan, Won, Jungeun, Schottenhamml, Julia, Girgis, Jessica, Lam, Kenneth, Waheed, Nadia, Fujimoto, James, Maier, Andreas   +7 more
openaire   +2 more sources

Robustness Comparison of Spatiotemporal Fusion Models With High Spatial Resolution Satellite Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The construction of high spatial and temporal image time series through spatiotemporal image fusion is vital for environmental monitoring and time-series analysis.
Soyeon Park, Sumin Park, Yeseul Kim, Hyun-Ok Kim, Jong-Hwan Son, Taejung Kim, No-Wook Park   +6 more
doaj   +1 more source

Appearance-and-Relation Networks for Video Classification

, 2018
Spatiotemporal feature learning in videos is a fundamental problem in computer vision. This paper presents a new architecture, termed as Appearance-and-Relation Network (ARTNet), to learn video representation in an end-to-end manner.
Li, Wei, Li, Wen, Van Gool, Luc, Wang, Limin   +3 more
core   +1 more source

Memory-Augmented Temporal Dynamic Learning for Action Recognition

, 2019
Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most ...
Wang, Dong, Wang, Qi, Yuan, Yuan
core   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

FEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Spectral unmixing based spatiotemporal downscaling fusion approach

International Journal of Applied Earth Observations and Geoinformation, 2020
Time-series remote sensing data are important in monitoring land surface dynamics. Due to technical limitations, satellite sensors have a trade-off between temporal, spatial and spectral resolutions when acquiring remote sensing images.
Wenjie Liu, Yongnian Zeng, Songnian Li, Wei Huang   +3 more
doaj   +1 more source

Pedestrian Trajectory Prediction with Structured Memory Hierarchies

, 2018
This paper presents a novel framework for human trajectory prediction based on multimodal data (video and radar). Motivated by recent neuroscience discoveries, we propose incorporating a structured memory component in the human trajectory prediction ...
A Roy, A Yuan, CA Bhatt, D Derdikman, F Gobet, L Deng, MS Fanselow, RA Epstein, T Fernando, T Madl, VH Brun   +10 more
core   +1 more source

A Two-Stage Spatiotemporal Fusion Method for Remote Sensing Images

Photogrammetric Engineering & Remote Sensing, 2019
This paper presents a two-stage spatiotemporal fusion method for obtaining dense remote sensing images with both high spatial and temporal resolution. Considering the large resolution differences between fine- and coarse-resolution images, the proposed method is implemented in two stages.
Yue Sun, Hua Zhang
openaire   +1 more source