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Proceedings Paper

FPGA-based architecture for hyperspectral endmember extraction
Author(s): João Rosário; José M. P. Nascimento; Mário Véstias
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Paper Abstract

Hyperspectral instruments have been incorporated in satellite missions, providing data of high spectral resolution of the Earth. This data can be used in remote sensing applications, such as, target detection, hazard prevention, and monitoring oil spills, among others. In most of these applications, one of the requirements of paramount importance is the ability to give real-time or near real-time response. Recently, onboard processing systems have emerged, in order to overcome the huge amount of data to transfer from the satellite to the ground station, and thus, avoiding delays between hyperspectral image acquisition and its interpretation. For this purpose, compact reconfigurable hardware modules, such as field programmable gate arrays (FPGAs) are widely used. This paper proposes a parallel FPGA-based architecture for endmember’s signature extraction. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral data sets collected by the NASA’s Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) over the Cuprite mining district in Nevada. 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 new perspectives for onboard hyperspectral image processing.

Paper Details

Date Published: 10 October 2014
PDF: 11 pages
Proc. SPIE 9247, High-Performance Computing in Remote Sensing IV, 924703 (10 October 2014); doi: 10.1117/12.2067039
Show Author Affiliations
João Rosário, Instituto Superior de Engenharia de Lisboa (Portugal)
José M. P. Nascimento, Instituto Superior de Engenharia de Lisboa (Portugal)
Instituto de Telecomunicações (Portugal)
Mário Véstias, Instituto Superior de Engenharia de Lisboa (Portugal)
INESC-ID (Portugal)


Published in SPIE Proceedings Vol. 9247:
High-Performance Computing in Remote Sensing IV
Bormin Huang; Sebastian López; Zhensen Wu, Editor(s)

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