Results 41 to 50 of about 1,249,287 (318)

Unmixing-based Spatiotemporal Image Fusion Based on the Self-trained Random Forest Regression and Residual Compensation

, 2023
Spatiotemporal satellite image fusion (STIF) has been widely applied in land surface monitoring to generate high spatial and high temporal reflectance images from satellite sensors.
Yalan Wang, Hou, Shuwei, Du, Yun, Pu Zhou, Li, Xiaodong, Zhou, Pu, Foody, Giles, Zhang, Yihang, Wang, Yalan, Xia Wang, Shuwei Hou, Wang, Xia, Xiaodong Li, Yihang Zhang, Yun Du, Giles M. Foody   +15 more
core   +1 more source

A Comprehensive Flexible Spatiotemporal DAta Fusion Method (CFSDAF) for Generating High Spatiotemporal Resolution Land Surface Temperature in Urban Area

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Spatiotemporal fusion of land surface temperature (LST) has a vital significance in studying the temporal and spatial variation of urban heat islands.
Chenlie Shi, Ninglian Wang, Quan Zhang, Zhuang Liu, Xinming Zhu   +4 more
doaj   +1 more source

Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support [PDF]

, 2018
Statistical 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.
Miller, Claire, Tyler, A.N., Miller, Claire A, C. A. Miller, Wilkie, Craig J, C. J. Wilkie, E. M. Scott, Tyler, Andrew, O'Donnell, Ruth A, Spyrakos, Evangelos, E. Spyrakos, Spyrakos, E., Wilkie, C.J., Miller, C.A., P. D. Hunter, Wilkie, Craig, Hunter, Peter D, Scott, E Marian, Tyler, Andrew N, O'Donnell, Ruth, Scott, Ethel M, R. A. O'Donnell, Scott, E.M., A. N. Tyler, Hunter, Peter, O'Donnell, R.A., Hunter, P.D.   +26 more
core   +1 more source

A Novel Deep Learning-Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions Using a Two-Stream Convolutional Neural Network

Remote Sensing, 2020
Spatiotemporal fusion is considered a feasible and cost-effective way to solve the trade-off between the spatial and temporal resolution of satellite sensors.
Duo Jia, Changqing Song, Changxiu Cheng, Shi Shen, Lixin Ning, Chun Hui   +5 more
doaj   +1 more source

Spatiotemporal Data Fusion for Precipitation Nowcasting

CoRR, 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.
Vladimir Ivashkin, Vadim Lebedev
openaire   +2 more sources

Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Footstep recognition is a relatively new biometric which aims to discriminate people using walking characteristics extracted from floor-based sensors. This paper reports for the first time a comparative assessment of the spatiotemporal information contained in the footstep signals for person recognition.
Rubén Vera-Rodríguez, John S. D. Mason, Julian Fiérrez-Aguilar, Javier Ortega-Garcia   +3 more
openaire   +5 more sources

Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models

International Journal of Applied Earth Observations and Geoinformation, 2021
Spatiotemporal fusion has provided a feasible way to generate fractional vegetation cover (FVC) data with high spatial and temporal resolution. However, when the currently available spatiotemporal fusion methods are applied over agricultural regions ...
Guofeng Tao, Kun Jia, Xiangqin Wei, Mu Xia, Bing Wang, Xianhong Xie, Bo Jiang, Yunjun Yao, Xiaotong Zhang   +8 more
doaj   +1 more source

Feasibility of the Spatiotemporal Fusion Model in Monitoring Ebinur Lake’s Suspended Particulate Matter under the Missing-Data Scenario

Remote Sensing, 2021
High-frequency monitoring of suspended particulate matter (SPM) concentration can improve water resource management. Missing high-resolution satellite images could hamper remote-sensing SPM monitoring.
Changjiang Liu, Pan Duan, Fei Zhang, Chi-Yung Jim, Mou Leong Tan, Ngai Weng Chan   +5 more
doaj   +1 more source

Deep Spatiotemporal Relation Learning With 3D Multi-Level Dense Fusion for Video Action Recognition

IEEE Access, 2019
Two-stream Convolutional Neural Network has shown a remarkable performance for video action recognition. Many recent works mainly focus on the fusion of appearance and motion information to obtain a robust spatiotemporal representation for action video ...
Junxuan Zhang, Haifeng Hu
doaj   +1 more source

Multimodal imaging reveals the spatiotemporal dynamics of recollection. [PDF]

, 2012
Functional MRI research suggests that different frontal and parietal cortical regions support strategic processes that are engaged at different stages of recollection, from pre-retrieval processing of a cue to post-retrieval maintenance and evaluation of
Henson, Richard N., Taylor, Jason T., Bergström, Zara M., Taylor, Jason R.; id_orcid, Simons, Jon S., Taylor, Jason R.   +5 more
core   +1 more source