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Advisor(s)
Abstract(s)
Hyperspectral instruments have been incorporated in satellite missions, providing
large amounts of data of high spectral resolution of the Earth surface. This data can be used
in remote sensing applications that often require a real-time or near-real-time response. To
avoid delays between hyperspectral image acquisition and its interpretation, the last usually
done on a ground station, onboard systems have emerged to process data, reducing the volume
of information to transfer from the satellite to the ground station. For this purpose, compact
reconfigurable hardware modules, such as field-programmable gate arrays (FPGAs), are widely
used. This paper proposes an FPGA-based architecture for hyperspectral unmixing. This method
based on the vertex component analysis (VCA) and it works without a dimensionality reduction
preprocessing step. The architecture has been designed for a low-cost Xilinx Zynq board with a
Zynq-7020 system-on-chip FPGA-based on the Artix-7 FPGA programmable logic and tested
using real hyperspectral data. Experimental results indicate that the proposed implementation
can achieve real-time processing, while maintaining the methods accuracy, which indicate
the potential of the proposed platform to implement high-performance, low-cost embedded systems,
opening perspectives for onboard hyperspectral image processing.
Description
Keywords
Hyperspectral unmixing Vertex component analysis Field-programmable gate arrays Onboard processing Real time
Citation
NASCIMENTO, José M. P.; VÉSTIAS, Mário Pereira - System-on-chip field-programmable gate array design for onboard real-time hyperspectral unmixing. Journal of Applied Remote Sensing. Vol. 10 (2016), pp. 015004-1-015004-17
Publisher
SPIE