Title
An efficient systolic array grid-based structure of the robust Bayesian regularization technique for real-time enhanced imaging in uncertain remote sensing environment
Abstract
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
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-Atoche1232.93
Roberto Carrasco-Alvarez2285.80
o palma marrufo310.39
J. Vazquez Castillo484.59