Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45017
Title: FPGA design of an automatic target generation process for hyperspectral image analysis
Authors: Bernabé, Sergio
López, Sebastián 
Plaza, Antonio
Sarmiento, Roberto 
Rodríguez, Pablo García
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Field programmable gate arrays
Hyperspectral imaging
Vectors
Algorithm design and analysis
Image analysis
Issue Date: 2011
Publisher: 1521-9097
Journal: Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Conference: 17th IEEE International Conference on Parallel and Distributed Systems (ICPADS) 
2011 17th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2011 
Abstract: Onboard processing of remotely sensed hyper spectral data is a highly desirable goal in many applications. For this purpose, compact reconfigurable hardware modules such as field programmable gate arrays (FPGAs) are widely used. In this paper, we develop a new implementation of an automatic target generation process (ATGP) for hyper spectral images. Our implementation is based on a design methodology that starts from a high-level description in Matlab (or alternative C/C++) and obtains a register transfer level (RTL) description that can be ported to FPGAs. In order to validate our new implementation, we develop a quantitative and comparative study using two different FPGA architectures: Xilinx Virtex-5 and Altera Stratix-III Altera. Experimental results have been obtained in the context of a real application focused on the detection of mineral components over the Cup rite mining district (Nevada), using hyper spectral data collected by NASA's Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS). Our experimental results indicate that the proposed implementation can achieve peak frequency designs above 200MHz in the considered FPGAs, in addition to satisfactory results in terms of target detection accuracy and parallel performance. This represents a step forward towards the design of real-time onboard implementations of hyper spectral image analysis algorithms.
URI: http://hdl.handle.net/10553/45017
ISBN: 9780769545769
ISSN: 1521-9097
DOI: 10.1109/ICPADS.2011.64
Source: Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS[ISSN 1521-9097] (6121396), p. 1010-1015
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