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Image Processing in Hadoop Distributed Environment

8 pagesPublished: June 12, 2017

Abstract

Satellite images are a growing resource of information and have many applications. In this research, the multispectral satellite images have been subjected to unsupervised classification based on K-Means clustering using Hadoop Framework, which is designed for big data processing, along with Hadoop Image Processing Interface (HIPI). We developed support for the GeoTIFF format, which is usually used for satellite images, and we will show that our methodology enhances the performance.

Keyphrases: Big Data, Hadoop, HIPI, image processing

In: Rajkumar Buyya, Rajiv Ranjan, Sumantra Dutta Roy, Mehul Raval, Mukesh Zaveri, Hiren Patel, Amit Ganatra, Darshak G. Thakore, Trupti A. Desai, Zankhana H. Shah, Narendra M. Patel, Mukesh E. Shimpi, Rajiv B. Gandhi, Jagdish M. Rathod, Bhargav C. Goradiya, Mehfuza S. Holia and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Computing, vol 2, pages 188--195

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BibTeX entry
@inproceedings{ICRISET2017:Image_Processing_in_Hadoop,
  author    = {Mosab Shaheen and Madhukar B Potdar},
  title     = {Image Processing in Hadoop Distributed Environment},
  booktitle = {ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Computing},
  editor    = {Rajkumar Buyya and Rajiv Ranjan and Sumantra Dutta Roy and Mehul Raval and Mukesh Zaveri and Hiren Patel and Amit Ganatra and Darshak G. Thakore and Trupti A. Desai and Zankhana H. Shah and Narendra M. Patel and Mukesh E. Shimpi and Rajiv B. Gandhi and Jagdish M. Rathod and Bhargav C. Goradiya and Mehfuza S. Holia and Dharita K. Patel},
  series    = {Kalpa Publications in Computing},
  volume    = {2},
  pages     = {188--195},
  year      = {2017},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {https://easychair.org/publications/paper/HVp},
  doi       = {10.29007/hxcv}}
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