Distributed processing of large remote sensing images using mapreduce : (Record no. 12095)
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000 -LEADER | |
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fixed length control field | 01971nam a2200217 a 4500 |
001 - CONTROL NUMBER | |
control field | 00025016 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 20425s2011 xxu eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 3845406186 (paperback) |
International Standard Book Number | 9783845406183 (paperback) |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
-- | 50 |
Edition number | 22 |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) | |
Koha biblionumber | 12095 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Tesfamariam, Ermias Beyene. |
245 10 - TITLE STATEMENT | |
Title | Distributed processing of large remote sensing images using mapreduce : |
Remainder of title | a case of edge detection methods / |
Statement of responsibility, etc | Ermias Beyene Tesfamariam. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | [S.l.] : |
Name of publisher, distributor, etc | LAP LAMBERT Academic Publishing, |
Date of publication, distribution, etc | 2011. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 84 p. ; |
Dimensions | 22 cm. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Advances in remote sensing technology and their ever increasing repositories of the collected data are revolutionizing the mechanisms these data are collected, stored and processed. This exponential growth of data archives and the increasing users’ demand for real-and near-real time remote sensing data products has challenged the data providers to deliver the required services. The remote sensing community has recognized the challenge in processing large and complex satellite datasets to derive customized products and several efforts have been made in the past few years towards incorporation of high-performance computing models. This study analyzes the recent advancements in distributed computing technologies, the MapReduce programming model, extends it for use in the area of remote sensing image processing. Performance tests for processing of large archives of Landsat images were performed with the Hadoop framework. The findings demonstrate that MapReduce has a potential for scaling large-scale remotely sensed images processing and perform more complex geospatial problems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Earth sciences |
General subdivision | Remote sensing. |
Topical term or geographic name as entry element | Remote-sensing images. |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date checked out | Copy number | Price effective from | Koha item type |
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Dewey Decimal Classification | Ayesha Abed Library | Ayesha Abed Library | General Stacks | 25/04/2012 | karim International | 5500.00 | 2 | 6 | 550 TES | 3010025016 | 03/09/2022 | 30/08/2022 | 1 | 25/04/2012 | Book |