Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays

  • Authors:

  • A. Castillo Atoche;D. Torres Roman;Y. Shkvarko

  • Affiliations:

  • Department of Electrical Engineering, CINVESTAV-IPN, Mexico 45015 and Department of Mechatronics, Autonomous University of Yucatan, Yucatan, Mexico 150;Department of Electrical Engineering, CINVESTAV-IPN, Mexico 45015;Department of Electrical Engineering, CINVESTAV-IPN, Mexico 45015

  • Venue:
  • CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a novel Hardware/Software (HW/SW) co-design approach for near real time implementation of high-resolution reconstruction of remote sensing (RS) imagery using an efficient network of systolic arrays (NSA). Such proposed NSA technique is based on a Field Programmable Gate Array (FPGA) and implements the image enhancement/reconstruction tasks of the intelligent descriptive experiment design regularization (DEDR) methodology in an efficient concurrent processing architecture that meets the (near) real time imaging systems requirements in spite of conventional computations. Finally, the results of the HW/SW co-design implementation in a Xilinx Virtex-4 XC4VSX35-10ff668 for the reconstruction of real world RS images are reported and discussed.