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Distributed Parallel Endmember Extraction of Hyperspectral Data Based on Spark
Joint Authors
Xiao, Fu
Wu, Zebin
Gu, Jinping
Li, Yonglong
Sun, Jin
Wei, Zhihui
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Due to the increasing dimensionality and volume of remotely sensed hyperspectral data, the development of acceleration techniques for massive hyperspectral image analysis approaches is a very important challenge.
Cloud computing offers many possibilities of distributed processing of hyperspectral datasets.
This paper proposes a novel distributed parallel endmember extraction method based on iterative error analysis that utilizes cloud computing principles to efficiently process massive hyperspectral data.
The proposed method takes advantage of technologies including MapReduce programming model, Hadoop Distributed File System (HDFS), and Apache Spark to realize distributed parallel implementation for hyperspectral endmember extraction, which significantly accelerates the computation of hyperspectral processing and provides high throughput access to large hyperspectral data.
The experimental results, which are obtained by extracting endmembers of hyperspectral datasets on a cloud computing platform built on a cluster, demonstrate the effectiveness and computational efficiency of the proposed method.
American Psychological Association (APA)
Wu, Zebin& Gu, Jinping& Li, Yonglong& Xiao, Fu& Sun, Jin& Wei, Zhihui. 2016. Distributed Parallel Endmember Extraction of Hyperspectral Data Based on Spark. Scientific Programming،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1118178
Modern Language Association (MLA)
Wu, Zebin…[et al.]. Distributed Parallel Endmember Extraction of Hyperspectral Data Based on Spark. Scientific Programming No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1118178
American Medical Association (AMA)
Wu, Zebin& Gu, Jinping& Li, Yonglong& Xiao, Fu& Sun, Jin& Wei, Zhihui. Distributed Parallel Endmember Extraction of Hyperspectral Data Based on Spark. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1118178
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118178