Results 11 to 20 of about 1,146,451 (358)
STFNet: A Spatiotemporal Fusion Network for Forest Change Detection Using Multi-Source Satellite Images [PDF]
Remote SensingForest resources have important ecological and environmental values, and monitoring forest changes using remote sensing images is essential for resource management and ecological protection.
Yingjiao Tan +7 more
semanticscholar +2 more sources
TSFNet: Temporal-Spatial Fusion Network for Hybrid Brain-Computer Interface [PDF]
SensorsUnimodal brain–computer interfaces (BCIs) often suffer from inherent limitations due to the characteristic of using single modalities. While hybrid BCIs combining electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) offer ...
Yan Zhang, Bo Yin, Xiaoyang Yuan
doaj +2 more sources
Spatiotemporal Fusion Transformer for Video Demoiréing
Computational Visual MediaJi-Wei Wang, Li-Yong Shen
openaire +2 more sources
Remote Sensing, 2022 With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal ...
Hongwei Zhang +3 more
doaj +1 more source
A Multiscale Spatiotemporal Fusion Network Based on an Attention Mechanism
Remote Sensing, 2022 Spatiotemporal fusion is an effective and cost-effective method to obtain both high temporal resolution and high spatial resolution images. However, existing methods do not sufficiently extract the deeper features of the image, resulting in fused images ...
Zhiqiang Huang +7 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Monitoring ice/snow surface temperature (IST) variations with high spatial and temporal resolution data from satellites are essential for research on the mass balance of the Greenland ice sheet (GrIS).
Qing Cheng +3 more
doaj +1 more source
Remote Sensing, 2023 Over one hundred spatiotemporal fusion algorithms have been proposed, but convolutional neural networks trained with large amounts of data for spatiotemporal fusion have not shown significant advantages. In addition, no attention has been paid to whether
Jingbo Wei +3 more
doaj +1 more source
A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectance fusion model (STARFM), sparse representation based ...
K. Hazaymeh, A. Almagbile
doaj +1 more source
Remote Sensing, 2022 Remote sensing images with high temporal and spatial resolutions play a crucial role in land surface-change monitoring, vegetation monitoring, and natural disaster mapping.
Weisheng Li, Dongwen Cao, Minghao Xiang
doaj +1 more source