NDLI: Parallel implementation of MPI-based SAR image soil moisture inversion

Content Provider	IEEE Xplore Digital Library
Author	Xueping Luo Jinping Bai Yunping Chen Ling Tong
Copyright Year	2013
Description	Author affiliation: Sch. of Aeronaut. & Astronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Xueping Luo; Jinping Bai) \|\| Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Yunping Chen; Ling Tong)
Abstract	Radar image has now becoming more and more widely used in the ecological environment monitoring. The soil moisture inversion for SAR(Synthetic Aperture Radar) image has important significance in the field of agriculture and environment. However, as the SAR image data is large scale and the algorithm of soil moisture inversion is complicated, it's a time-consuming work for SAR image processing, so how to get fast processing for SAR images has now become an important problem. Therefore, the this paper use MPI(Message Passing Interface) cluster system accelerate the processing speed of algorithm, thus speeding up the SAR image processing and improving the efficiency of the use of computers. This paper designed and implemented two cluster computing modes that are master-slave mode and peer-to-peer mode. At last, we takes an experimental testing, results show that relative to master-slave mode, peer-to-peer mode can get a better acceleration effect, greatly improves the processing speed.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	1692
Ending Page	1695
File Size	230840
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer-to-peer computing Master-slave Soil moisture Synthetic aperture radar Clustering algorithms Algorithm design and analysis Computers peer-to-peer mode fast processing soil moisture inversion MPI cluster system master-slave mode
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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