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Parallelized Dilate Algorithm for Remote Sensing Image
As an important algorithm, dilate algorithm can give us more connective view of a remote sensing image which has broken lines or objects. However, with the technological progress of satellite sensor, the resolution of remote sensing image has been increasing and its data quantities become very large...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4037610/ https://www.ncbi.nlm.nih.gov/pubmed/24955392 http://dx.doi.org/10.1155/2014/286963 |
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author | Zhang, Suli Hu, Haoran Pan, Xin |
author_facet | Zhang, Suli Hu, Haoran Pan, Xin |
author_sort | Zhang, Suli |
collection | PubMed |
description | As an important algorithm, dilate algorithm can give us more connective view of a remote sensing image which has broken lines or objects. However, with the technological progress of satellite sensor, the resolution of remote sensing image has been increasing and its data quantities become very large. This would lead to the decrease of algorithm running speed or cannot obtain a result in limited memory or time. To solve this problem, our research proposed a parallelized dilate algorithm for remote sensing Image based on MPI and MP. Experiments show that our method runs faster than traditional single-process algorithm. |
format | Online Article Text |
id | pubmed-4037610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40376102014-06-22 Parallelized Dilate Algorithm for Remote Sensing Image Zhang, Suli Hu, Haoran Pan, Xin ScientificWorldJournal Research Article As an important algorithm, dilate algorithm can give us more connective view of a remote sensing image which has broken lines or objects. However, with the technological progress of satellite sensor, the resolution of remote sensing image has been increasing and its data quantities become very large. This would lead to the decrease of algorithm running speed or cannot obtain a result in limited memory or time. To solve this problem, our research proposed a parallelized dilate algorithm for remote sensing Image based on MPI and MP. Experiments show that our method runs faster than traditional single-process algorithm. Hindawi Publishing Corporation 2014 2014-05-11 /pmc/articles/PMC4037610/ /pubmed/24955392 http://dx.doi.org/10.1155/2014/286963 Text en Copyright © 2014 Suli Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Suli Hu, Haoran Pan, Xin Parallelized Dilate Algorithm for Remote Sensing Image |
title | Parallelized Dilate Algorithm for Remote Sensing Image |
title_full | Parallelized Dilate Algorithm for Remote Sensing Image |
title_fullStr | Parallelized Dilate Algorithm for Remote Sensing Image |
title_full_unstemmed | Parallelized Dilate Algorithm for Remote Sensing Image |
title_short | Parallelized Dilate Algorithm for Remote Sensing Image |
title_sort | parallelized dilate algorithm for remote sensing image |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4037610/ https://www.ncbi.nlm.nih.gov/pubmed/24955392 http://dx.doi.org/10.1155/2014/286963 |
work_keys_str_mv | AT zhangsuli parallelizeddilatealgorithmforremotesensingimage AT huhaoran parallelizeddilatealgorithmforremotesensingimage AT panxin parallelizeddilatealgorithmforremotesensingimage |