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Proceedings Paper

Co-design of software and hardware to implement remote sensing algorithms
Author(s): James P. Theiler; Janette R. Frigo; Maya Gokhale; John J. Szymanski
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Paper Abstract

Both for offline searches through large data archives and for onboard computation at the sensor head, there is a growing need for ever-more rapid processing of remote sensing data. For many algorithms of use in remote sensing, the bulk of the processing takes place in an ``inner loop'' with a large number of simple operations. For these algorithms, dramatic speedups can often be obtained with specialized hardware. The difficulty and expense of digital design continues to limit applicability of this approach, but the development of new design tools is making this approach more feasible, and some notable successes have been reported. On the other hand, it is often the case that processing can also be accelerated by adopting a more sophisticated algorithm design. Unfortunately, a more sophisticated algorithm is much harder to implement in hardware, so these approaches are often at odds with each other. With careful planning, however, it is sometimes possible to combine software and hardware design in such a way that each complements the other, and the final implementation achieves speedup that would not have been possible with a hardware-only or a software-only solution. We will in particular discuss the co-design of software and hardware to achieve substantial speedup of algorithms for multispectral image segmentation and for endmember identification.

Paper Details

Date Published: 17 January 2002
PDF: 14 pages
Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); doi: 10.1117/12.453328
Show Author Affiliations
James P. Theiler, Los Alamos National Lab. (United States)
Janette R. Frigo, Los Alamos National Lab. (United States)
Maya Gokhale, Los Alamos National Lab. (United States)
John J. Szymanski, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 4480:
Imaging Spectrometry VII
Michael R. Descour; Sylvia S. Shen, Editor(s)

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