Results 1 to 10 of about 104,397 (207)
Spatiotemporal Fusion in Remote Sensing [PDF]
arXiv, 2021 Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying acquisition (e.g., atmosphere and season), sensor and platform (e.g., satellite angles and sensor ...
Hessah Albanwan, Rongjun Qin
arxiv +8 more sources
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Despite the success in still image recognition, deep neural networks for spatiotemporal signal tasks (such as human action recognition in videos) still suffers from low efficacy and inefficiency over the past years. Recently, human experts have put more efforts into analyzing the importance of different components in 3D convolutional neural networks ...
Wenjun Zeng +4 more
openaire +3 more sources
Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images. [PDF]
Sensors (Basel), 2018 Although Worldview-2 (WV) images (non-pansharpened) have 2-m resolution, the re-visit times for the same areas may be seven days or more. In contrast, Planet images are collected using small satellites that can cover the whole Earth almost daily. However, the resolution of Planet images is 3.125 m.
Kwan C +8 more
europepmc +8 more sources
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 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 ...
Israel D. Gebru +3 more
openalex +9 more sources
Spatiotemporal Data Fusion for Precipitation Nowcasting [PDF]
arXiv, 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 +3 more sources
Robust Spatiotemporal Fusion of Satellite Images: A Constrained Convex Optimization Approach [PDF]
, 2023 This paper proposes a novel spatiotemporal (ST) fusion framework for satellite images, named Robust Optimization-based Spatiotemporal Fusion (ROSTF). ST fusion is a promising approach to resolve a trade-off between the temporal and spatial resolution of satellite images.
Ryosuke Isono +2 more
openalex +2 more sources
Spatiotemporal Model Fusion: Multiscale Modelling of Civil Unrest [PDF]
Journal 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 ...
Andrew Hoegh +2 more
openalex +3 more sources
Fusion of spatiotemporal and thematic features of textual data for animal disease surveillance [PDF]
Information Processing in Agriculture, 2022 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 ...
Sarah Valentin +2 more
openalex +5 more sources
Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support [PDF]
Environmetrics, 2018 AbstractStatistical downscaling has been developed for the fusion of data of different spatial support. However, environmental data often have different temporal support, which must also be accounted for. This paper presents a novel method of nonparametric statistical downscaling, which enables the fusion of data of different spatiotemporal support ...
Craig Wilkie +6 more
openalex +5 more sources
ENSO Forecasts With Spatiotemporal Fusion Transformer Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe El Niño-Southern Oscillation (ENSO) is a global significant signal which exerts substantial climatic and socioeconomic impacts worldwide. However, the long-term prediction of ENSO persists as a challenge because of its diversity, irregularity, and asymmetry. Here, we develop a spatiotemporal fusion transformer network (STFTN), which designed
Anming Zhao +4 more
openalex +3 more sources