High-performance signal and image processing for remote sensing using reconfigurable computers

Michael P. Caffrey; John J. Szymanski; A. Begtrup; J. Layne; T. Nelson; S. Robinson; Alfonso Salazar; James P. Theiler

doi:10.1117/12.367629

2 November 1999 High-performance signal and image processing for remote sensing using reconfigurable computers

Michael P. Caffrey, John J. Szymanski, A. Begtrup, J. Layne, T. Nelson, S. Robinson, Alfonso Salazar, James P. Theiler

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367629
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

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.

Citation Download Citation

Michael P. Caffrey, John J. Szymanski, A. Begtrup, J. Layne, T. Nelson, S. Robinson, Alfonso Salazar, and James P. Theiler "High-performance signal and image processing for remote sensing using reconfigurable computers", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367629

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