Research on parallel unsupervised classification performance of remote sensing image based on MPI-Reference-Cited by-同舟云学术

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Research on parallel unsupervised classification performance of remote sensing image based on MPI

Published:2012-11 Issue:21 Volume:123 Page:1985-1987
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Li Jia,Qin Yali,Ren Hongliang

Funder

National Natural Science Foundation of China (NSFC)

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference5 articles.

1. Data partition for distributed-parallel processing of remote sensing imagery;Huang;Remote Sens. Inform.,2001

2. Key techniques for distributed processes of remote sensing imagery;Li;J. Wuhan Tech. Univ. Surv. Mapp. (STUSM),1999

3. Some algorithms’ parallel programming universal modules in MPI;Jiang;Comput. Eng. Appl.,2003

4. How does communication influence clusters parallel computing performance;Hu;Mini-micro Syst.,2003

5. Application of parallel computing techniques of distributed memory multiprocessors to remote sensing image processing;Lu;J. Geomat.,2005

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1. Research Progress on Models, Algorithms, and Systems for Remote Sensing Spatial-Temporal Big Data Processing;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021

2. Autonomous Imaging Parameters’ Adjustment Research for Space TDICCD Camera;Lecture Notes in Electrical Engineering;2020

3. Parallel architecture for cotton crop classification using WLI-Fuzzy clustering algorithm and Bs-Lion neural network model;The Imaging Science Journal;2017-09-11

4. Parallelized Dilate Algorithm for Remote Sensing Image;The Scientific World Journal;2014

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