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

机译:基于脉动阵列网络的遥感影像近实时增强

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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.
机译:在本文中,我们提出了一种新颖的硬件/软件(HW / SW)协同设计方法,该方法可使用有效的脉动阵列(NSA)网络以近实时方式实现高分辨率遥感影像(RS)的重建。此类拟议的NSA技术基于现场可编程门阵列(FPGA),并在满足(近)实时成像系统的高效并发处理架构中,实现了智能描述性实验设计规范化(DEDR)方法的图像增强/重建任务。尽管进行了常规计算,但仍要求。最后,报告并讨论了在Xilinx Virtex-4 XC4VSX35-10ff668中用于重建实际RS图像的硬件/软件协同设计实现的结果。

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