A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Distributed computing strategies in remote sensing techniques and applications that use various data sources are comprehensively reviewed. A new distributed fusion framework that can accelerate the fusion of heterogeneous remote sensing and social media data is proposed by decomposing large data sets into small ones and processing them in parallel. ABSTRACT | Despite the wide availability of remote sensing big data from numerous different Earth Observation (EO) instruments, the limitations indoi:10.1109/jproc.2021.3079176 fatcat:gk2xqgsipjfr7kfanauymtk724