Results 31 to 40 of about 32,837 (284)
Fusion of spatiotemporal and thematic features of textual data for animal disease surveillance [PDF]
Information Processing in Agriculture, 2023 Several internet-based surveillance systems have been created to monitor the web for animal health surveillance. These systems collect a large amount of news dealing with outbreaks related to animal diseases. Automatically identifying news articles that describe the same outbreak event is a key step to quickly detect relevant epidemiological ...
Valentin, Sarah +2 more
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Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard [PDF]
Sensors, 2020 Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier with higher levels of droughts, leading to higher fire severity.
Stavros Sakellariou +8 more
openaire +4 more sources
Multimodal imaging reveals the spatiotemporal dynamics of recollection. [PDF]
, 2012 Functional MRI research suggests that different frontal and parietal cortical regions support strategic processes that are engaged at different stages of recollection, from pre-retrieval processing of a cue to post-retrieval maintenance and evaluation of
Henson, Richard N. +5 more
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, 2022 Title on author’s file: An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution NDVI time series202207 bckwAccepted ManuscriptRGCOthersNational Key Research and Development Program of China; National ...
Helmer, EH +6 more
core +1 more source
Towards Multimodal Spatiotemporal Data Analysis: Heterogeneity and Fusion
, 2022 Spatiaotemporal data are data with space and/or time dimensions. With the widespread use of Internet-of-Things (IoT) technology and deployment of different types of sensors, either mobile or static, large volumes of spatiotemporal data are continuously ...
Zhang, Yawen
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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-
Abdullah S. Alharthi, Krikor B. Ozanyan
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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
Remote Sensing, 2023 The monitoring of rapidly changing land surface processes requires remote sensing images with high spatiotemporal resolution. As remote sensing satellites have different satellite orbits, satellite orbital velocities, and sensors, it is challenging to acquire remote sensing images with high resolution and dense time series within a reasonable temporal ...
Xiaoyu Pan +3 more
openaire +2 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
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