High Performance Signal and Image Processing for Remote Sensing Using Reconfigurable Computers

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It is not uncommon for remote sensing systems to produce in excess of 100 Mbytes/sec. Los Alamos National Laboratory designed a reconfigurable computer to tackle the signal and image processing challenges of high bandwidth sensors. Reconfigurable computing, based on field programmable gate arrays, offers ten to one hundred times the performance of traditional microprocessors for certain algorithms. This paper discusses the architecture of the computer and the source of performance gains, as well as an example application. The calculation of multiple matched filters applied to multispectral imagery, showing a performance advantage of forty-five over Pentium II (450 MHz), is presented ... continued below

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Caffrey, M.; Szymanski, J.J.; Begtrup, A.; Layne, J.; Nelson, T.; Robinson, S. et al. July 18, 1999.

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It is not uncommon for remote sensing systems to produce in excess of 100 Mbytes/sec. Los Alamos National Laboratory designed a reconfigurable computer to tackle the signal and image processing challenges of high bandwidth sensors. Reconfigurable computing, based on field programmable gate arrays, offers ten to one hundred times the performance of traditional microprocessors for certain algorithms. This paper discusses the architecture of the computer and the source of performance gains, as well as an example application. The calculation of multiple matched filters applied to multispectral imagery, showing a performance advantage of forty-five over Pentium II (450 MHz), is presented as an exemplar of algorithms appropriate for this technology.

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Medium: P; Size: vp.

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OSTI as DE00759123

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  • SPIE '99 Optical Science, Engineering, and Instrumentation, Denver, CO (US), 07/18/1999--07/23/1999

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  • Report No.: LA-UR-99-3060
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 759123
  • Archival Resource Key: ark:/67531/metadc703198

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  • July 18, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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  • May 6, 2016, 1:26 p.m.

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Caffrey, M.; Szymanski, J.J.; Begtrup, A.; Layne, J.; Nelson, T.; Robinson, S. et al. High Performance Signal and Image Processing for Remote Sensing Using Reconfigurable Computers, article, July 18, 1999; New Mexico. (digital.library.unt.edu/ark:/67531/metadc703198/: accessed August 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.