Results 41 to 50 of about 1,146,451 (358)

Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring

open access: yesIEEE Access, 2023
Spatiotemporal fusion (STF) techniques play important roles in Earth observation analysis as they enable the generation of images with high spatial and temporal resolution.
Juan Xiao   +4 more
semanticscholar   +1 more source

Reconstructing the Traffic State by Fusion of Heterogeneous Data

open access: yes, 2009
We present an advanced interpolation method for estimating smooth spatiotemporal profiles for local highway traffic variables such as flow, speed and density.
Bertini   +21 more
core   +1 more source

Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Speaker diarization consists of assigning speech signals to people engaged in a dialogue. An audio-visual spatiotemporal diarization model is proposed. The model is well suited for challenging scenarios that consist of several participants engaged in multi-party interaction while they move around and turn their heads towards the other participants ...
Gebru, Israel   +3 more
openaire   +4 more sources

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

open access: yes, 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   +4 more
core   +1 more source

Machine-learning-estimation of high-spatiotemporal-resolution chlorophyll-a concentration using multi-satellite imagery

open access: yesSustainable Environment Research, 2023
Chlorophyll-a concentration for quantifying phytoplankton biomass is commonly used as an indicator for evaluating the trophic level of lakes and water quality.
Wachidatin Nisaul Chusnah   +3 more
doaj   +1 more source

Appearance-and-Relation Networks for Video Classification

open access: yes, 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   +3 more
core   +1 more source

Coupled map gas: structure formation and dynamics of interacting motile elements with internal dynamics [PDF]

open access: yes, 2002
A model of interacting motile chaotic elements is proposed. The chaotic elements are distributed in space and interact with each other through interactions depending on their positions and their internal states.
Cole   +16 more
core   +1 more source

Power Prediction of Photovoltaic Clusters Based on Spatio-Temporal Feature Extraction and Cross-Modal Fusion [PDF]

open access: yesDianli jianshe
[Objective] Photovoltaic (PV) power forecasting is a critical component of grid-connected PV dispatch and optimization. However, existing forecasting methods inadequately capture the spatial correlations between power plants, particularly in scenarios ...
WANG Jian, LIU Huiyuan, ZHANG Zhanxi, SHEN Fu, WANG Kaizheng, CAI Zilong
doaj   +1 more source

Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Medium spatial resolution surface reflectance image series from the combination of Landsat-8 Operational Land Imager and Sentinel-2 Multispectral Imager observations have great importance to the land surface monitoring tasks, for which great efforts have
Yunfei Li   +6 more
doaj   +1 more source

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

open access: yes, 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.   +3 more
core   +1 more source

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