Distributed Processing of Large Remote Sensing Images Using MapReduce : A Case Of Edge Detection Methods

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3845406186 / 9783845406183

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9783845406183

Title
Distributed Processing of Large Remote Sensing Images Using MapReduce : A Case Of Edge Detection Methods
Author
Ermias Beyene Tesfamariam
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3845406186
ISBN 13
9783845406183
Item weight
143 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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