Results 31 to 40 of about 1,249,287 (318)

Remote Sensing Observations of a Coastal Water Environment Based on Neural Network and Spatiotemporal Fusion Technology: A Case Study of Hangzhou Bay

open access: yesRemote Sensing
The coastal environment is characterized by high, multi-scale dynamics and the corresponding observations from a single remote sensing sensor are still facing challenges in achieving both high temporal and spatial resolution.
Rugang Tang   +4 more
doaj   +2 more sources

Progressive spatiotemporal image fusion with deep neural networks

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2022
Spatiotemporal image fusion (STIF) provides a feasible and effective solution for generating satellite images with high spatial and temporal resolution.
Jiajun Cai, Bo Huang, Tung Fung
openaire   +2 more sources

Spatiotemporal Fusion in 3D CNNs: A Probabilistic View [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Despite the success in still image recognition, deep neural networks for spatiotemporal signal tasks (such as human action recognition in videos) still suffers from low efficacy and inefficiency over the past years. Recently, human experts have put more efforts into analyzing the importance of different components in 3D convolutional neural networks ...
Yizhou Zhou   +4 more
openaire   +2 more sources

Spatiotemporal Fusion With Only Two Remote Sensing Images as Input

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Spatiotemporal data fusion is an effective way of generating a dense time series with a high spatial resolution. Traditionally, the spatiotemporal fusion models, especially the popular ones such as the spatial and temporal adaptive reflectance fusion ...
Jingan Wu   +5 more
doaj   +1 more source

Spatiotemporal Fusion in Remote Sensing

open access: yes, 2020
Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying acquisition (e.g., atmosphere and season), sensor and platform (e.g., satellite angles and sensor ...
Hessah Albanwan, Rongjun Qin
openaire   +3 more sources

Gait recognition under carrying condition : a static dynamic fusion method [PDF]

open access: yes, 2012
When an individual carries an object, such as a briefcase, conventional gait recognition algorithms based on average silhouette/Gait Energy Image (GEI) do not always perform well as the object carried may have the potential of being mistakenly regarded ...
Hu, Yongjian   +5 more
core   +1 more source

Slow muscles guide fast myocyte fusion to ensure robust myotome formation despite the high spatiotemporal stochasticity of fusion events [PDF]

open access: yes, 2022
Skeletal myogenesis is dynamic, and it involves cell-shape changes together with cell fusion and rearrangements. However, the final muscle arrangement is highly organized with striated fibers.
Mendieta-Serrano, Mario A.   +9 more
core   +1 more source

Spatiotemporal Fusion of Formosat-2 and Landsat-8 Satellite Images: A Comparison of “Super Resolution-Then-Blend” and “Blend-Then-Super Resolution” Approaches

open access: yesRemote Sensing, 2021
The spatiotemporal fusion technique has the advantages of generating time-series images with high-spatial and high-temporal resolution from coarse-resolution to fine-resolution images.
Tee-Ann Teo, Yu-Ju Fu
doaj   +1 more source

A deep learning approach for deriving wheat phenology from near-surface RGB image series using spatiotemporal fusion. [PDF]

open access: yesPlant Methods
Accurate monitoring of wheat phenological stages is essential for effective crop management and informed agricultural decision-making. Traditional methods often rely on labour-intensive field surveys, which are prone to subjective bias and limited ...
Cai Y   +8 more
europepmc   +2 more sources

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