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In this paper, we propose bit-level hardware accelerator architectures for real time implementation of largescale remote sensing (RS) imaging. The computational complex RS operations of the DEDR-RASF algorithm are implemented in efficient bit-level high-throughput accelerators units. Super-Systolic Arrays (SSAs) and High Performance Embedded Computing (HPEC) techniques were used in aggregation with a HW/SW co-design scheme, achieving the required real-time data processing for newer RS applications. The bit-level SSA accelerators were implemented in a Virtex 5 XC5VFX130T Field Programable Gate Array (FPGA) technology. Performance results revels the significant improvement in both area and time metrics over previous works.

EFFICIENT DESIGN OF BIT-LEVEL ACCELERATOR ARCHITECTURES FOR THE DEDR-RASF REMOTE SENSING ALGORITHM USING SUPER-SYSTOLIC ARRAYS