Results 321 to 330 of about 1,146,451 (358)

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

Spatiotemporal Fusion Networks for Video Action Recognition

Neural Processing Letters, 2019
Learning spatiotemporal information is a fundamental part in action recognition. In this work, we attempt to extract efficient spatiotemporal information for video representation through a novel architecture, termed as SpatioTemporal Fusion Networks (STFN).
Zheng Liu, Haifeng Hu, Junxuan Zhang
openaire   +1 more source

GCM-PDA: A Generative Compensation Model for Progressive Difference Attenuation in Spatiotemporal Fusion of Remote Sensing Images

IEEE Transactions on Image Processing
High-resolution satellite imagery with dense temporal series is crucial for long-term surface change monitoring. Spatiotemporal fusion seeks to reconstruct remote sensing image sequences with both high spatial and temporal resolutions by leveraging prior
Kai Ren, Weiwei Sun, Xiang-Chong Meng, Gang Yang   +3 more
semanticscholar   +1 more source

Spatiotemporal Reflectance Fusion Using a Generative Adversarial Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
The spatiotemporal reflectance fusion method is used to blend high-temporal and low-spatial resolution images with their low-temporal and high-spatial resolution counterparts that were previously acquired by various satellite sensors. Recently, a wide variety of learning-based solutions have been developed, but challenges remain.
Cheng Shang, Xinyan Li, Zhixiang Yin, Xiaodong Li, Lihui Wang, Yihang Zhang, Yun Du, Feng Ling   +7 more
openaire   +1 more source

Hierarchical Spatiotemporal Fusion for Event-Visible Object Detection

IEEE International Conference on Robotics and Automation
Traditional visible light cameras are prone to performance degradation under varying weather and lighting conditions. To address this challenge, we introduce an eventbased camera and propose a novel hierarchical spatiotemporal fusion approach for event ...
Sin-Ye Jhong, Hsin-Chun Lin, Tzu-Chi Liu, Kai-Lung Hua, Yung-Yao Chen   +4 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

Knowledge Fusion and Spatiotemporal Data Cleaning: A Review

2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020
Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning.
Huchen Zhou, Mohan Li, Zhaoquan Gu
openaire   +1 more source

A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network

IEEE Transactions on Geoscience and Remote Sensing, 2021
Due to the tradeoff between spatial and temporal resolutions of remote sensing images, spatiotemporal fusion models were proposed to synthesize the high spatiotemporal image series.
Zhenyu Tan, Meiling Gao, Xinghua Li, Liangcun Jiang   +3 more
semanticscholar   +1 more source

Wuhan Dataset: A High-Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images

IEEE Geoscience and Remote Sensing Letters
The spatiotemporal fusion is a valid way to provide Earth observation applications with remote sensing images with both high temporal and high spatial resolution. Along with the advancement of remote sensing technology, many spatiotemporal fusion methods
Xingjian Zhang, Linglin Xie, Shuang Li, Fan Lei, Li Cao, Xinghua Li   +5 more
semanticscholar   +1 more source

STFNet: Enhanced and Lightweight Spatiotemporal Fusion Network for Wearable Human Activity Recognition

IEEE Sensors Journal
Human activity recognition using sensor data has become a research hotspot in the field of ubiquitous computing and has a wide range of application scenarios in real life. Effectively extracting and fusing the rich spatiotemporal information contained in
Hailin Zou, Zijie Chen, Chenyang Zhang, Anran Yuan, Binbin Wang, Lei Wang, Jianqing Li, Yuanyuan Pan   +7 more
semanticscholar   +1 more source