Results 31 to 40 of about 78,652 (284)

Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty [PDF]

, 2018
The long-term health effects of air pollution are often estimated using a spatio-temporal ecological areal unit study, but this design leads to the following statistical challenges: (1) how to estimate spatially representative pollution concentrations ...
Arif, Berrocal, Berrocal, Blair, Blangiardo, Bobb, Chang, Coker, Crooks, Elliott, Fuentes, Gryparis, Huang, Hughes, Laden, Lee, Lee, Lee, Lee, Leroux, Mackenbach, McMillan, Pannullo, Powell, RCP, Rundel, Rushworth, Szpiro, Szpiro, WHO, Yu   +30 more
core   +1 more source

Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets

Canadian Journal of Remote Sensing, 2021
The availability of concurrently high spatiotemporal resolution remote sensing data is highly desirable as they represent a key element for effective monitoring in various environmental applications.
Abdelaziz Htitiou, Abdelghani Boudhar, Tarik Benabdelouahab   +2 more
doaj   +1 more source

Reconstructing the Traffic State by Fusion of Heterogeneous Data

, 2009
We present an advanced interpolation method for estimating smooth spatiotemporal profiles for local highway traffic variables such as flow, speed and density.
Bertini, Bertini, Caceres, Cassidy, Cassidy, Chen, Fastenrath, Helbing, Helbing, Herrera, Ivan, Kerner, Kerner, Kesting, Newell, Schönhof, Treiber, Treiber, Treiber, Treiber, van Lint, Zielke   +21 more
core   +1 more source

Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification [PDF]

, 2017
Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT is important for recognition, segmentation, synthesis or retrieval for a range of ...
Andrearczyk, Vincent, Whelan, Paul F.
core   +2 more sources

Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

, 2017
Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds.
Cheng, Qing, Li, Xinghua, Li, Zhiwei, Shen, Huanfeng, Zhang, Chengyue   +4 more
core   +1 more source

Spatial and temporal aspects of visual backward masking in children and young adolescents [PDF]

, 2016
We thank Marc Repnow for his help setting up the experiments. In addition, we thank two anonymous reviewers for their very thoughtful and helpful comments.
Herzog, Michael H., Kunchulia, Marina, Parkosadze, Khatuna, Pilz, Karin S.   +3 more
core   +2 more sources

Applicability Assessment of a Spatiotemporal Geostatistical Fusion Model for Disaster Monitoring: Two Cases of Flood and Wildfire

Remote Sensing, 2022
A spatial time series geostatistical deconvolution/fusion model (STGDFM), as one of spatiotemporal data fusion model, combines Dense time series data with a Coarse-scale (i.e., DC data) and Sparse time series data with a Fine-scale (i.e., SF data) to ...
Yeseul Kim
doaj   +1 more source

Insulin secretory granules labelled with phogrin-fluorescent proteins show alterations in size, mobility and responsiveness to glucose stimulation in living β-cells [PDF]

, 2019
The intracellular life of insulin secretory granules (ISGs) from biogenesis to secretion depends on their structural (e.g. size) and dynamic (e.g. diffusivity, mode of motion) properties.
Bugliani, Marco, Cappello, Valentina, Caracciolo, Giulio, Cardarelli, Francesco, Digiacomo, Luca, Ferri, Gianmarco, Lavagnino, Zeno, Marchetti, Piero, Occhipinti, Margherita, Piston, David W.   +9 more
core   +3 more sources

A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis

Remote Sensing, 2017
Interest has been growing with regard to the use of remote sensing data characterized by a fine spatial resolution and frequent coverage for the monitoring of land surface dynamics.
Jing Wang, Bo Huang
doaj   +1 more source

A Spatiotemporal Fusion Method Based on Multiscale Feature Extraction and Spatial Channel Attention Mechanism

Remote Sensing, 2022
Remote sensing satellite images with a high spatial and temporal resolution play a crucial role in Earth science applications. However, due to technology and cost constraints, it is difficult for a single satellite to achieve both a high spatial ...
Dajiang Lei, Gangsheng Ran, Liping Zhang, Weisheng Li   +3 more
doaj   +1 more source