Title | ||
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An efficient systolic array grid-based structure of the robust Bayesian regularization technique for real-time enhanced imaging in uncertain remote sensing environment |
Abstract | ||
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In this paper, we address a hardware implementation of the efficient robust Bayesian regularization architecture for the real-time enhancement of large-scale remote sensing (RS) imaging. The efficient sense of the proposed architecture is related to the high-performance embedded implementation that is achieved with the aggregation of parallel computing and systolic array design techniques in a novel grid connected-based accelerator. Then, the developed high-speed accelerator is integrated with an embedded processor via the HW/SW co-design paradigm. The presented approach is used for solving RS image enhancement/reconstruction of the ill-conditioned inverse spatial spectrum pattern estimation problems via an interesting low-cost high-performance embedded computing solution. Finally, we show the achieved results and how we drastically reduced the computational load for real-world large-scale geospatial images. |
Year | DOI | Venue |
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2017 | 10.1007/s11554-014-0441-y | J. Real-Time Image Processing |
Keywords | Field | DocType |
Remote sensing, Real-time systems, Systolic array architectures, Field-programmable gate arrays | Geospatial analysis,Inverse,Computer science,Remote sensing,Field-programmable gate array,Systolic array,Real-time computing,Spatial spectrum pattern,Bayesian interpretation of regularization,Grid | Journal |
Volume | Issue | ISSN |
13 | 4 | 1861-8219 |
Citations | PageRank | References |
1 | 0.39 | 13 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. Castillo-Atoche | 1 | 23 | 2.93 |
Roberto Carrasco-Alvarez | 2 | 28 | 5.80 |
o palma marrufo | 3 | 1 | 0.39 |
J. Vazquez Castillo | 4 | 8 | 4.59 |