Results 31 to 40 of about 54,901 (283)

Spatiotemporal Remote-Sensing Image Fusion With Patch-Group Compressed Sensing [PDF]

IEEE Access, 2020
Generally, it is difficult to acquire remote sensing data whose resolution is both highly spatial and highly temporal from a single satellite. In this paper, a novel compressed sensing (CS)-based spatiotemporal data fusion (CSBS) method is proposed to synthesize such high-spatiotemporal resolution images.
Lei Li, Peng Liu, Jie Wu, Lizhe Wang, Guojin He   +4 more
openaire   +2 more sources

Insulin secretory granules labelled with phogrin-fluorescent proteins show alterations in size, mobility and responsiveness to glucose stimulation in living β-cells [PDF]

, 2019
The intracellular life of insulin secretory granules (ISGs) from biogenesis to secretion depends on their structural (e.g. size) and dynamic (e.g. diffusivity, mode of motion) properties.
Bugliani, Marco, Cappello, Valentina, Caracciolo, Giulio, Cardarelli, Francesco, Digiacomo, Luca, Ferri, Gianmarco, Lavagnino, Zeno, Marchetti, Piero, Occhipinti, Margherita, Piston, David W.   +9 more
core   +3 more sources

Spatial enhanced spatiotemporal reflectance fusion model for heterogeneous regions with land cover change

Geocarto International, 2023
Numerous spatiotemporal fusion models have been developed to fuse dense time-series data with a high spatial resolution for monitoring land surface dynamics.
Xinyu Pi, Wei Huang, Yongnian Zeng, Pancheng Wang   +3 more
doaj   +1 more source

A Spatiotemporal Fusion Method Based on Multiscale Feature Extraction and Spatial Channel Attention Mechanism

Remote Sensing, 2022
Remote sensing satellite images with a high spatial and temporal resolution play a crucial role in Earth science applications. However, due to technology and cost constraints, it is difficult for a single satellite to achieve both a high spatial ...
Dajiang Lei, Gangsheng Ran, Liping Zhang, Weisheng Li   +3 more
doaj   +1 more source

MSNet: A Multi-Stream Fusion Network for Remote Sensing Spatiotemporal Fusion Based on Transformer and Convolution

Remote Sensing, 2021
Remote sensing products with high temporal and spatial resolution can be hardly obtained under the constrains of existing technology and cost.
Weisheng Li, Dongwen Cao, Yidong Peng, Chao Yang   +3 more
doaj   +1 more source

On the Potential of Generic Modeling for VANET Data Aggregation Protocols [PDF]

, 2010
In-network data aggregation is a promising communication mechanism to reduce bandwidth requirements of applications in vehicular ad-hoc networks (VANETs). Many aggregation schemes have been proposed, often with varying features.
Dietzel, Stefan, Heijenk, Geert, Kargl, Frank, Schaub, Florian   +3 more
core   +3 more sources

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

Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

, 2017
Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds.
Cheng, Qing, Li, Xinghua, Li, Zhiwei, Shen, Huanfeng, Zhang, Chengyue   +4 more
core   +1 more source

Improving spatiotemporal data fusion method in multiband images by distributing variates. [PDF]

Sci Rep
Several spatiotemporal data fusion methods have been developed to generate continuous fine-resolution satellite imagery using widely available datasets. This study introduces the Residual Distribution-based Spatiotemporal Data Fusion Method (RDSFM), designed to enhance fusion accuracy. RDSFM addresses residuals caused by spatial and temporal variations,
Jin Y, Yin Z, Zhu W, Lee D.
europepmc   +2 more sources

The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spatiotemporal fusion is a method of fusing high spatial resolution low temporal resolution remote sensing images and low spatial resolution high temporal resolution in order to obtain high spatiotemporal resolution remote sensing images, which can ...
ChenYang Weng, Yulin Zhan, Xingfa Gu, Jian Yang, Yan Liu, Hong Guo, Zilong Lian, Shiyuan Zhang, Zhangjie Wang, Xuechun Zhao   +9 more
doaj   +1 more source