PARAMETERIZED K-MEANS CLUSTERING FOR RAPID HARDWARE DEVELOPMENT TO ACCELERATE ANALYSIS OF SATELLITE DATA
Abstract
Reconfigurable hardware has successfully been used to obtain speed-up in the implementation of image processing algorithms over purely software based implementations. At HPEC 2000 111, we described research we have done in applying reconfigurable hardware to satellite image data for remote sensing applications. We presented an FPGA implementation of K-means clustering that exhibited two orders of magnitude speedup over a software implementation.
- Authors:
-
- Pavle
- Michael
- Maya
- John J.
- James P.
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 975497
- Report Number(s):
- LA-UR-01-3028
TRN: US201018%%686
- Resource Type:
- Conference
- Resource Relation:
- Conference: Submitted to: Fifth Annual Workshop on High Performance Embedded Computing (HPEC 2001), MIT Lincoln Laboratory, September 25-27, 2001.
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICAL METHODS AND COMPUTING; ALGORITHMS; IMAGE PROCESSING; IMPLEMENTATION; PERFORMANCE; REMOTE SENSING; SATELLITES; DATA ANALYSIS
Citation Formats
Leeser, M., Belanov, P, Estlick, M, Gokhale, M, Szymanski, J J, and Theiler, J P. PARAMETERIZED K-MEANS CLUSTERING FOR RAPID HARDWARE DEVELOPMENT TO ACCELERATE ANALYSIS OF SATELLITE DATA. United States: N. p., 2001.
Web.
Leeser, M., Belanov, P, Estlick, M, Gokhale, M, Szymanski, J J, & Theiler, J P. PARAMETERIZED K-MEANS CLUSTERING FOR RAPID HARDWARE DEVELOPMENT TO ACCELERATE ANALYSIS OF SATELLITE DATA. United States.
Leeser, M., Belanov, P, Estlick, M, Gokhale, M, Szymanski, J J, and Theiler, J P. 2001.
"PARAMETERIZED K-MEANS CLUSTERING FOR RAPID HARDWARE DEVELOPMENT TO ACCELERATE ANALYSIS OF SATELLITE DATA". United States. https://www.osti.gov/servlets/purl/975497.
@article{osti_975497,
title = {PARAMETERIZED K-MEANS CLUSTERING FOR RAPID HARDWARE DEVELOPMENT TO ACCELERATE ANALYSIS OF SATELLITE DATA},
author = {Leeser, M. and Belanov, P and Estlick, M and Gokhale, M and Szymanski, J J and Theiler, J P},
abstractNote = {Reconfigurable hardware has successfully been used to obtain speed-up in the implementation of image processing algorithms over purely software based implementations. At HPEC 2000 111, we described research we have done in applying reconfigurable hardware to satellite image data for remote sensing applications. We presented an FPGA implementation of K-means clustering that exhibited two orders of magnitude speedup over a software implementation.},
doi = {},
url = {https://www.osti.gov/biblio/975497},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2001},
month = {Mon Jan 01 00:00:00 EST 2001}
}
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