Results 21 to 30 of about 78,652 (284)
Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment [PDF]
Environmetrics, 2019 AbstractConcentrations of near‐road air pollutants (NRAPs) have increased to very high levels in many urban centers around the world, particularly in developing countries. The adverse health effects of exposure to NRAPs are greater when the exposure occurs in the near‐road environment as compared to background levels of pollutant concentration ...
Gilani, Owais +2 more
openaire +2 more sources
On the Potential of Generic Modeling for VANET Data Aggregation Protocols [PDF]
, 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
Remote Sensing, 2021 Remote sensing products with high temporal and spatial resolution can be hardly obtained under the constrains of existing technology and cost.
Weisheng Li +3 more
doaj +1 more source
Imaging plant germline differentiation within Arabidopsis flowers by light sheet microscopy [PDF]
, 2020 In higher plants, germline differentiation occurs during a relatively short period within developing flowers. Understanding of the mechanisms that govern germline differentiation lags behind other plant developmental processes.
Bainar, Petr +8 more
core +1 more source
Spatiotemporal Data Fusion for Precipitation Nowcasting
, 2018 Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions covered by ground-based radars. Truly global precipitation nowcasting requires fusion of radar and satellite observations.
Ivashkin, Vladimir, Lebedev, Vadim
openaire +2 more sources
Fusion from Multimodal Gait Spatiotemporal Data for Human Gait Speed Classifications
2021 IEEE Sensors, 2021 Human gait pattens remain largely undefined when relying on a single sensing modality. We report a pilot implementation of sensor fusion to classify gait spatiotemporal signals, from a publicly available dataset of 50 participants, harvested from four different type of sensors. For fusion we propose a hybrid Convolutional Neural Network and Long Short-
Alharthi, Abdullah, Ozanyan, Krikor
openaire +1 more source
Remote Sensing, 2020 Spatiotemporal fusion is considered a feasible and cost-effective way to solve the trade-off between the spatial and temporal resolution of satellite sensors.
Duo Jia +5 more
doaj +1 more source
Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization
IEEE 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
A SPATIOTEMPORAL FUSION NETWORK TO MULTI SOURCE HETEROGENEOUS DATA FOR LANDSLIDE RECOGNITION
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Abstract. In recent years, the frequency of landslide disasters has been increasing year by year due to the extension of human activities to the natural environment. Fast and detailed landslide surveys are important for landslide disaster prediction and management.
B. Li, L. Han, L. Li
openaire +3 more sources
Remote Sensing, 2020 With the growing development of remote sensors, huge volumes of remote sensing data are being utilized in related applications, bringing new challenges to the efficiency and capability of processing huge datasets.
Mingyuan Peng +4 more
doaj +1 more source