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Proceedings Paper

Advanced processing for high-bandwidth sensor systems
Author(s): John J. Szymanski; Phil C. Blain; Jeffrey J. Bloch; Christopher M. Brislawn; Steven P. Brumby; Maureen M. Cafferty; Mark E. Dunham; Janette R. Frigo; Maya Gokhale; Neal R. Harvey; Garrett Kenyon; Won-Ha Kim; J. Layne; Dominique D. Lavenier; Kevin P. McCabe; Melanie Mitchell; Kurt R. Moore; Simon J. Perkins; Reid B. Porter; S. Robinson; Alfonso Salazar; James P. Theiler; Aaron Cody Young
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Paper Abstract

Compute performance and algorithm design are key problems of image processing and scientific computing in general. For example, imaging spectrometers are capable of producing data in hundreds of spectral bands with millions of pixels. These data sets show great promise for remote sensing applications, but require new and computationally intensive processing. The goal of the Deployable Adaptive Processing Systems (DAPS) project at Los Alamos National Laboratory is to develop advanced processing hardware and algorithms for high-bandwidth sensor applications. The project has produced electronics for processing multi- and hyper-spectral sensor data, as well as LIDAR data, while employing processing elements using a variety of technologies. The project team is currently working on reconfigurable computing technology and advanced feature extraction techniques, with an emphasis on their application to image and RF signal processing. This paper presents reconfigurable computing technology and advanced feature extraction algorithm work and their application to multi- and hyperspectral image processing. Related projects on genetic algorithms as applied to image processing will be introduced, as will the collaboration between the DAPS project and the DARPA Adaptive Computing Systems program. Further details are presented in other talks during this conference and in other conferences taking place during this symposium.

Paper Details

Date Published: 15 November 2000
PDF: 8 pages
Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); doi: 10.1117/12.406575
Show Author Affiliations
John J. Szymanski, Los Alamos National Lab. (United States)
Phil C. Blain, Los Alamos National Lab. (United States)
Jeffrey J. Bloch, Los Alamos National Lab. (United States)
Christopher M. Brislawn, Los Alamos National Lab. (United States)
Steven P. Brumby, Los Alamos National Lab. (United States)
Maureen M. Cafferty, Los Alamos National Lab. (United States)
Mark E. Dunham, Los Alamos National Lab. (United States)
Janette R. Frigo, Los Alamos National Lab. (United States)
Maya Gokhale, Los Alamos National Lab. (United States)
Neal R. Harvey, Los Alamos National Lab. (United States)
Garrett Kenyon, Los Alamos National Lab. (United States)
Won-Ha Kim, Los Alamos National Lab. (United States)
J. Layne, Los Alamos National Lab. (United States)
Dominique D. Lavenier, Los Alamos National Lab. (United States)
Kevin P. McCabe, Los Alamos National Lab. (United States)
Melanie Mitchell, Los Alamos National Lab. (United States)
Kurt R. Moore, Los Alamos National Lab. (United States)
Simon J. Perkins, Los Alamos National Lab. (United States)
Reid B. Porter, Los Alamos National Lab. (United States)
S. Robinson, Los Alamos National Lab. (United States)
Alfonso Salazar, Los Alamos National Lab. (United States)
James P. Theiler, Los Alamos National Lab. (United States)
Aaron Cody Young, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 4132:
Imaging Spectrometry VI
Michael R. Descour; Sylvia S. Shen, Editor(s)

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