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SUMMARY:On HPC for Hyperspectral Image Processing
DTSTART;VALUE=DATE-TIME:20121017T143000Z
DTEND;VALUE=DATE-TIME:20121017T150000Z
DTSTAMP;VALUE=DATE-TIME:20261011T034036Z
UID:indico-contribution-182@indico.ipb.ac.rs
DESCRIPTION:Speakers: Mihnea Dulea (National Institute of Physics and Nucl
 ear Engineering)\nHyperspectral image processing still requires nowadays c
 onsiderable computational and storage resources\, beyond the available one
 s for a single server. In particular\, clustering of images gathered from 
 the current satellites can be done in a reasonable time only using high pe
 rformance computing facilities.\n\nIn this paper we discuss the latest app
 roaches for fuzzy clustering techniques that are adapted to work on hundre
 ds of processors as well as the pre-processing techniques for data splitti
 ng and reading. Comparisons between different techniques are based on impl
 ementations for BlueGene/P.\n \nThe  paper exposes part of the concepts pr
 esented in [1] and [2]\,\nas well as experimental results.\n\n[1] D. Petcu
 \, D. Zaharie\, S. Panica\, A. S. Hussein\, A. Sayed\, H. El-Shishiny\, 
 “Fuzzy Clustering of Large Satellite Images using High Performance Compu
 ting\,” In Proceedings of SPIE Volume 8183\, SPIE Remote Sensing Confere
 nce: High-Performance Computing in Remote Sensing\, http://dx.doi.org/10.1
 117/12.898281\, 2011\n\n[2]  A.C. Toma\, S. Panica\, D. Zaharie\, D. Petcu
 \, "Computational Challenges in Processing Large Hyperspectral Images"\, s
 ubmitted to Grid\, Cloud & High Performance Computing Science"\, RO-LCG 20
 12\, October 2012\n\nhttps://events.saifa.rs/event/291/contributions/182/
LOCATION:National Library of Serbia
URL:https://events.saifa.rs/event/291/contributions/182/
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