System-on-chip field-programmable gate array design for onboard real-time hyperspectral unmixing

José M.  P. Nascimento; Mário Véstias

doi:10.1117/1.JRS.10.015004

19 January 2016 System-on-chip field-programmable gate array design for onboard real-time hyperspectral unmixing

José M. P. Nascimento, Mário Véstias

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 1, 015004 (January 2016). https://doi.org/10.1117/1.JRS.10.015004

Abstract

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.

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José M. P. Nascimento and Mário Véstias "System-on-chip field-programmable gate array design for onboard real-time hyperspectral unmixing," Journal of Applied Remote Sensing 10(1), 015004 (19 January 2016). https://doi.org/10.1117/1.JRS.10.015004

Published: 19 January 2016

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