IEEE Symposium on FPGAs for Custom Computing Machines Scalable Network Based FPGA Accelerators for an Automatic Target Recognition Application Napa Valley, California April 15-April 17 ISBN: 0-8186-8900-5
Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing throughput. In this paper, we describe an ATR algorithm implementation using FPGA accelerators. We will first describe the ATR algorithm that was implemented, the implementation on a single FPGA, how the FPGA nodes are connected to make a scalable system, and compare the performance to current scalable microprocessor-based implementations.
Citation:
Ruth Sivilotti, Young Cho, Wen-King Su, Danny Cohen, Brian Bray, "Scalable Network Based FPGA Accelerators for an Automatic Target Recognition Application," fccm, pp.282, IEEE Symposium on FPGAs for Custom Computing Machines, 1998 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||