Results 51 to 60 of about 1,087,010 (389)

Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Medium spatial resolution surface reflectance image series from the combination of Landsat-8 Operational Land Imager and Sentinel-2 Multispectral Imager observations have great importance to the land surface monitoring tasks, for which great efforts have
Yunfei Li, Qian Shi, Lin He, Runlin Cai, Liangli Meng, Jun Li, Antonio Plaza   +6 more
doaj   +1 more source

Object-Level Hybrid Spatiotemporal Fusion: Reaching a Better Tradeoff Among Spectral Accuracy, Spatial Accuracy, and Efficiency

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Spatiotemporal fusion (STF) is a cost-effective way to complement the spatiotemporal resolution of multisource images, which has been employed in various applications requiring image sequences.
Dizhou Guo, Wenzhong Shi
semanticscholar   +1 more source

Spatiotemporal regulation of cAMP signaling controls the human trophoblast fusion [PDF]

Frontiers in Pharmacology, 2015
During human placentation, mononuclear cytotrophoblasts fuse to form multinucleated syncytia ensuring hormonal production and nutrient exchanges between the maternal and fetal circulation. Syncytial formation is essential for the maintenance of pregnancy and for fetal growth.
Gerbaud, Pascal, Tasken, Kjetil, Pidoux, Guillaume   +2 more
openaire   +7 more sources

An object-based sparse representation model for spatiotemporal image fusion

Scientific Reports, 2022
AbstractMany algorithms have been proposed for spatiotemporal image fusion on simulated data, yet only a few deal with spectral changes in real satellite images. An innovative spatiotemporal sparse representation (STSR) image fusion approach is introduced in this study to generate global dense high spatial and temporal resolution images from real ...
Afshin Asefpour Vakilian, Mohammad Reza Saradjian   +1 more
openaire   +3 more sources

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

A Spatiotemporal Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results

Remote Sensing, 2023
Spatiotemporal fusion technology effectively improves the spatial and temporal resolution of remote sensing data by fusing data from different sources. Based on the strong time-series correlation of pixels at different scales (average Pearson correlation
Shize Chen, Linlin Zhang, Xinli Hu, Qingyan Meng, Jiangkang Qian, Jianfeng Gao   +5 more
semanticscholar   +1 more source

An Advanced Spatiotemporal Fusion Model for Suspended Particulate Matter Monitoring in an Intermontane Lake

Remote Sensing, 2023
Ebinur Lake is the largest brackish-water lake in Xinjiang, China. Strong winds constantly have an impact on this shallow water body, causing high variability in turbidity of water.
Fei Zhang, Pan Duan, C.Y. Jim, V. Johnson, Changjiang Liu, N. Chan, M. Tan, Hsiang-te Kung, Jingchao Shi, Weiwei Wang   +9 more
semanticscholar   +1 more source

Adaptability Evaluation of the Spatiotemporal Fusion Model of Sentinel-2 and MODIS Data in a Typical Area of the Three-River Headwater Region

Sustainability, 2023
The study of surface vegetation monitoring in the “Three-River Headwaters” Region (TRHR) relies on satellite data with high spatial and temporal resolutions.
Mengyao Fan, Dawei Ma, Xianglin Huang, R. An   +3 more
semanticscholar   +1 more source

Going Deeper into Action Recognition: A Survey

, 2017
Understanding human actions in visual data is tied to advances in complementary research areas including object recognition, human dynamics, domain adaptation and semantic segmentation.
Harandi, Mehrtash, Herath, Samitha, Porikli, Fatih   +2 more
core   +1 more source

BICAR: A New Algorithm for Multiresolution Spatiotemporal Data Fusion

PLoS ONE, 2012
We introduce a method for spatiotemporal data fusion and demonstrate its performance on three constructed data sets: one entirely simulated, one with temporal speech signals and simulated spatial images, and another with recorded music time series and astronomical images defining the spatial patterns.
Scott T. Grafton, Kevin S. Brown, Jean M. Carlson   +2 more
openaire   +5 more sources