A New Distributed Histogram Equalization Processing Remote Sensing Images based on MapReduce Framework

DOI

10.2991/mecae-17.2017.28How to use a DOI?

Keywords

Remote Sensing Images, Distributed Histogram Equalization, Mapreduce.

Abstract

With the development of 3S technology and information technology, the remote sensing data is growing dramatically. A new distributed histogram equalization for processing remote sensing images based on MapReduce framework is proposed in this paper. Through distributed histogram equalization method, significant changes of the sensing images will be got by a parallel way. The method is both useful and necessary for processing such a huge amount of remote sensing data.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lipeng Jia
AU  - Xiaohui Hu
PY  - 2017/03
DA  - 2017/03
TI  - A New Distributed Histogram Equalization Processing Remote Sensing Images based on MapReduce Framework
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 156
EP  - 159
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.28
DO  - 10.2991/mecae-17.2017.28
ID  - Jia2017/03
ER  -