Results 31 to 40 of about 1,146,451 (358)

On the Potential of Generic Modeling for VANET Data Aggregation Protocols [PDF]

open access: yes, 2010
In-network data aggregation is a promising communication mechanism to reduce bandwidth requirements of applications in vehicular ad-hoc networks (VANETs). Many aggregation schemes have been proposed, often with varying features.
Dietzel, Stefan   +3 more
core   +3 more sources

A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The spatiotemporal remote sensing images have significant importance in forest ecological monitoring, forest carbon management, and other related fields. Spatiotemporal data fusion technology of remote sensing images combines high spatiotemporal and high
Weipeng Jing   +7 more
doaj   +1 more source

Spectral unmixing based spatiotemporal downscaling fusion approach

open access: yesInternational Journal of Applied Earth Observation 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. In order to obtain remote sensing images with high spatial resolution and high temporal frequency, spatiotemporal ...
Wenjie Liu   +3 more
openaire   +2 more sources

Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models

open access: yesInternational 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
doaj   +1 more source

Feasibility of the Spatiotemporal Fusion Model in Monitoring Ebinur Lake’s Suspended Particulate Matter under the Missing-Data Scenario

open access: yesRemote Sensing, 2021
High-frequency monitoring of suspended particulate matter (SPM) concentration can improve water resource management. Missing high-resolution satellite images could hamper remote-sensing SPM monitoring.
Changjiang Liu   +5 more
doaj   +1 more source

Deep Spatiotemporal Relation Learning With 3D Multi-Level Dense Fusion for Video Action Recognition

open access: yesIEEE Access, 2019
Two-stream Convolutional Neural Network has shown a remarkable performance for video action recognition. Many recent works mainly focus on the fusion of appearance and motion information to obtain a robust spatiotemporal representation for action video ...
Junxuan Zhang, Haifeng Hu
doaj   +1 more source

MSISR-STF: Spatiotemporal Fusion via Multilevel Single-Image Super-Resolution

open access: yesRemote Sensing, 2023
Due to technological limitations and budget constraints, spatiotemporal image fusion uses the complementarity of high temporal–low spatial resolution (HTLS) and high spatial–low temporal resolution (HSLT) data to obtain high temporal and spatial ...
Xiongwei Zheng   +5 more
doaj   +1 more source

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

open access: yes, 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.   +3 more
core   +2 more sources

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

open access: yesRemote 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   +3 more
doaj   +1 more source

Spatiotemporal Model Fusion: Multiscale Modelling of Civil Unrest

open access: yesJournal of the Royal Statistical Society Series C: Applied Statistics, 2016
SummaryCivil unrest is a complicated, multifaceted social phenomenon that is difficult to forecast. Relevant data for predicting future protests consist of a massive set of heterogeneous sources of data, primarily from social media. Using a modular approach to extract pertinent information from disparate sources of data, we develop a spatiotemporal ...
Hoegh, Andrew   +2 more
openaire   +2 more sources

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