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Constructing a global human epidemic database using open-source digital biosurveillance. [PDF]

Sci Data
Badker R, Kipperman N, Ash B, Madhav NK, Oppenheim B, Savage P, Stephenson N, Pardee C.   +7 more
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STDF: Joint Spatiotemporal Differences Based on xLSTM Dendritic Fusion Network for Remote Sensing Change Detection

Yu Zhou, Shengning Zhou, Dapeng Cheng, Jinjiang Li, Zhen Hua   +4 more
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Enhanced Spatiotemporal Fusion via MODIS-Like Images

IEEE Transactions on Geoscience and Remote Sensing, 2022
Spatiotemporal fusion (STF) aims at generating remote-sensing data with both high spatial and temporal resolution. In the literature, one of the most widely used strategies to accomplish this goal is to fuse high temporal resolution images collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) with images with finer spatial resolution ...
Jun Li, Yunfei Li, Runlin Cai, Lin He, Jin Chen, Antonio Plaza   +5 more
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Spatiotemporal Data Cleaning and Knowledge Fusion [PDF]

, 2021
Knowledge fusion aims to establish the relation-ship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the underlying key technologies supporting knowledge fusion. In this chapter, we give a brief overview of some important technologies of knowledge fusion and data cleaning. We first briefly introduce the motivation and
Mohan Li, Zhaoquan Gu, Zhihong Tian, Huchen Zhou   +3 more
openaire   +1 more source

CAFE: A Cross-Attention Based Adaptive Weighting Fusion Network for MODIS and Landsat Spatiotemporal Fusion

IEEE Geoscience and Remote Sensing Letters, 2023
Dense medium-resolution images play an important role in time-series geoscience applications. However, due to technical limitations, remote sensing imaging systems inevitably trade off temporal frequency and spatial swaths, resulting in difficulties to ...
Liupeng Lin, Yao Shen, Jingan Wu, Fang Nan   +3 more
semanticscholar   +1 more source

STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2023
Radar echo extrapolation based on deep learning is an important method for conducting precipitation nowcasting. Radar echo sequence data have spatiotemporal correlations and nonrigid movements of the radar echo.
Wei Fang, Lin Pang, Victor S. Sheng, Qiguang Wang   +3 more
semanticscholar   +1 more source

StfMLP: Spatiotemporal Fusion Multilayer Perceptron for Remote-Sensing Images

IEEE Geoscience and Remote Sensing Letters, 2023
Remote-sensing (RS) images with high spatial and temporal resolutions play a significant role in monitoring periodic landscape changes for earth observation science. To enrich RS images, spatiotemporal fusion (STF) is considered a promising approach. The
Guangsheng Chen, Hailiang Lu, Donglin Di, Linhui Li, M. Emam, Weipeng Jing   +5 more
semanticscholar   +1 more source

A Spatiotemporal Fusion Autoencoder-Based Health Indicator Automatic Construction Method for Rotating Machinery Considering Vibration Signal Expression

IEEE Sensors Journal, 2023
Rotating machinery is widely applied in various industries, and its health indicator (HI) construction is significant in the data-driven status assessment and remaining useful life (RUL) prediction; however, most existing HI construction methods adopt ...
Yong Duan, Xian-gang Cao, Jiangbin Zhao, Man Li, Xin Yang   +4 more
semanticscholar   +1 more source

A Robust Framework for Resolution Enhancement of Land Surface Temperature by Combining Spatial Downscaling and Spatiotemporal Fusion Methods

IEEE Transactions on Geoscience and Remote Sensing, 2023
Land surface temperature (LST) products with high spatial resolution and short revisiting cycles are crucial for environmental studies. However, due to the tradeoff between spatial and temporal resolutions of satellite observations, such data are not ...
Yitao Li, Hua Wu, Hong Chen, Xinming Zhu
semanticscholar   +1 more source

3DSF: three-dimensional spatiotemporal fusion

SPIE Proceedings, 2011
In this paper we explore image fusion methods for 3D LIDAR sensors, thermal sensors, and visible color sensors. Traditional display methods are demonstrated in contrast to the proposed robust representations. The new fused representations make full use of the display gamut of a color monitor.
David L. Hall, Richard L. Tutwiler, Matthew S. Baran, Donald J. Natale   +3 more
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