Results 331 to 340 of about 1,146,451 (358)

CIG-STF: Change Information Guided Spatiotemporal Fusion for Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Spatiotemporal fusion has been attracting increasing attention in remote sensing applications, such as environmental monitoring and land cover change detection, due to its excellent ability to obtain high spatial and temporal resolution images.
MingZhu You, Xiangchao Meng, Qiang Liu, Feng Shao, Randi Fu   +4 more
semanticscholar   +1 more source

Spatiotemporal Coverage in Fusion-Based Sensor Networks

2013
Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. As a fundamental performance measure of WSNs, coverage characterizes how well a sensing field is monitored by a network. Two facets of coverage, i.e., spatial coverage and temporal coverage, quantify the
Rui Tan, Guoliang Xing
openaire   +1 more source

HPLTS-GAN: A High-Precision Remote Sensing Spatiotemporal Fusion Method Based on Low Temporal Sensitivity

IEEE Transactions on Geoscience and Remote Sensing
Remote sensing spatiotemporal image fusion is a promising approach to acquire remote sensing data with high spatial and temporal resolution. While most deep neural network-based models have demonstrated high accuracy, they heavily depend on temporal ...
Dajiang Lei, Qianwei Zhu, Yujia Li, Jiayang Tan, Shuailong Wang, Tingting Zhou, Liping Zhang   +6 more
semanticscholar   +1 more source

STINet: Vegetation Changes Reconstruction Through a Transformer-Based Spatiotemporal Fusion Approach in Remote Sensing

IEEE Transactions on Geoscience and Remote Sensing
Filling gaps in high-resolution satellite imagery is essential for tracking vegetation changes over time. Spatiotemporal fusion (STF) aims to create fusion products that improve both spatial resolution and temporal coverage by using images from various ...
Sai Wang, Fenglei Fan
semanticscholar   +1 more source

Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG

International Journal of Neural Systems
Electroencephalography (EEG) plays a crucial role in epilepsy analysis, and epileptic seizure prediction has significant value for clinical treatment of epilepsy. Currently, prediction methods using Convolutional Neural Network (CNN) primarily focus on local features of EEG, making it challenging to simultaneously capture the spatial and temporal ...
Dezan Ji, Landi He, Xingchen Dong, Haotian Li, Xiangwen Zhong, Guoyang Liu, Weidong Zhou   +6 more
openaire   +2 more sources

Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction

IEEE Transactions on Automation Science and Engineering
In many fields, spatiotemporal prediction is gaining more and more attention, e.g., air pollution, weather forecasting, and traffic forecasting. Water quality prediction is a spatiotemporal prediction task.
Junfei Qiao, Yongze Lin, Jingye Bi, Haitao Yuan, Gongming Wang, Mengchu Zhou   +5 more
semanticscholar   +1 more source

Spatiotemporal Enhancement and Interlevel Fusion Network for Remote Sensing Images Change Detection

IEEE Transactions on Geoscience and Remote Sensing
Remote sensing (RS) image change detection (CD) plays a crucial role in monitoring surface dynamics; however, current deep learning (DL)-based CD methods still suffer from pseudo changes and scale variations due to inadequate exploration of temporal ...
Yanyuan Huang, Xinghua Li, Zhen-Hua Du, Huanfeng Shen   +3 more
semanticscholar   +1 more source

New Wavelet Based Spatiotemporal Fusion Method

Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing, 2016
Ayoub Mouak, Amina Radgui, Ahmed Er-Raji, Ahmed Tamtaoui, Amal Ibnelhobyb, Faouzi Mohamed Smiej, Mohamed Merdas, Driss El Hadani   +7 more
openaire   +1 more source

Short-term OD flow prediction for urban rail transit control: A multi-graph spatiotemporal fusion approach

Information Fusion
Xue Xing, Bing Wang, Xin Ning, Gang Wang, Prayag Tiwari   +4 more
semanticscholar   +1 more source

Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction

Neural Networks
Jing Chen, Shixiang Pan, Weimin Peng, Wenqiang Xu   +3 more
semanticscholar   +1 more source