A Parallel and Optimization Approach for Land-Surface Temperature Retrieval on a Windows-Based PC Cluster

A Parallel and Optimization Approach for Land-Surface Temperature Retrieval on a Windows-Based PC Cluster

Land-surface temperature (LST) is a very important parameter in the geosciences. Conventional LST retrieval is based on large-scale remote-sensing (RS) images where split-window algorithms are usually employed via a traditional stand-alone method. When using the environment to visualize images (ENVI...

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Bibliographic Details
Main Authors: Bo Tie, Fang Huang, Jian Tao, Jun Lu, Dongwei Qiu
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sustainability
Subjects:
land-surface temperature retrieving
ENVI interactive data language (IDL)
parallel computing
windows-based PC cluster
message passing interface (MPI)
Samba
Online Access:http://www.mdpi.com/2071-1050/10/3/621

Internet

http://www.mdpi.com/2071-1050/10/3/621

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