Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Redirigiendo al acceso original de articulo en 18 segundos...
ARTÍCULO
TITULO

Spatio-Temporal Series Remote Sensing Image Prediction Based on Multi-Dictionary Bayesian Fusion

Chu He    
Zhi Zhang    
Dehui Xiong    
Juan Du and Mingsheng Liao    

Resumen

No disponible

PÁGINAS
MATERIAS
INFRAESTRUCTURA

 Artículos similares

       
 
Anton Borg and Martin Svensson    
The evidence that burglaries cluster spatio-temporally is strong. However, research is unclear on whether clustered burglaries (repeats/near-repeats) should be treated as qualitatively different crimes compared to spatio-temporally unrelated burglaries (... ver más

 
Inder Tecuapetla-Gómez, Gerardo López-Saldaña, María Isabel Cruz-López and Rainer Ressl    
Earth observation (EO) data play a crucial role in monitoring ecosystems and environmental processes. Time series of satellite data are essential for long-term studies in this context. Working with large volumes of satellite data, however, can still be a... ver más

 
Lan You, Zhengyi Guan, Na Li, Jiahe Zhang, Haibo Cui, Christophe Claramunt and Rui Cao    
Taxi waiting times is an important criterion for taxi passengers to choose appropriate pick-up locations in urban environments. How to predict the taxi waiting time accurately at a certain time and location is the key solution for the imbalance between t... ver más

 
Yangnan Guo, Cangjiao Wang, Shaogang Lei, Junzhe Yang and Yibo Zhao    
Spatio-temporal fusion algorithms dramatically enhance the application of the Landsat time series. However, each spatio-temporal fusion algorithm has its pros and cons of heterogeneous land cover performance, the minimal number of input image pairs, and ... ver más

 
Xiaojing Wu and Donghai Zheng    
Unprecedented amounts of spatio-temporal data instigates an urgent need for patterns exploration in it. Clustering analysis is useful in extracting patterns from big data by grouping similar data elements into clusters. Compared with one-way clustering a... ver más