Share Email Print

Proceedings Paper

3D-processor arrays accelerators for high-performance computing in remote sensing applications
Author(s): A. Castillo Atoche; J. Vazquez Castillo; L. Rizo Dominguez; J. Sandoval Gio
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The conceptualization and employment of efficient 3D processor arrays (3D-PAs) accelerator units in aggregation with the HW/SW co-design technique is developed in this study in a FPGA platform, for the real-time enhancement/reconstruction of large-scale remote sensing (RS) imaging for Geospatial applications. The addressed architecture implements the previously proposed robust fused Bayesian-regularization (RFBR) enhanced radar imaging method for the solution of ill-conditioned inverse spatial spectrum pattern (SSP) estimation problems. Finally, we show how the proposed 3D-PAs accelerators drastically reduce the computational load of the real-world Geospatial imagery tasks suitable for the real-time implementation.

Paper Details

Date Published: 12 October 2011
PDF: 6 pages
Proc. SPIE 8183, High-Performance Computing in Remote Sensing, 818303 (12 October 2011); doi: 10.1117/12.898476
Show Author Affiliations
A. Castillo Atoche, Autonomous Univ. of Yucatan (Mexico)
J. Vazquez Castillo, Univ. of Quintana Roo (Mexico)
L. Rizo Dominguez, Univ. of Caribe (Mexico)
J. Sandoval Gio, Merida Institute of Technology (Mexico)

Published in SPIE Proceedings Vol. 8183:
High-Performance Computing in Remote Sensing
Bormin Huang; Antonio J. Plaza, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?