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Title: High-level FPGA-based implementation of a hyperspectral endmember extraction algorithm
Authors: Lopez, Sebastian 
Callico, Gustavo M. 
Medina, Anabella
López Feliciano, José Francisco 
Sarmiento, Roberto 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Field programmable gate arrays
Very high speed integrated circuits
Algorithm design and analysis
Issue Date: 2012
Journal: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Conference: 4th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS) 
Abstract: Linear spectral unmixing represents an awesome technique for the analysis of remotely sensed hyperspectral images. However, its large computational cost severely compromises its use in applications under real-time constraints, where swift responses are of a crucial importance. Hence, the hardware acceleration of the operations involved in the unmixing of a hyperspectral cube becomes mandatory for these scenarios. This paper presents an improved version of a design flow that allows implementing a hyperspectral unmixing algorithm onto a Field Programmable Gate Array (FPGA) directly from MATLAB. As a case of study, the results obtained with the implementation of the well-known N-FINDR algorithm will be outlined, demonstrating the benefits of our proposal against state-of-the-art approaches as well as the profits derived from the adoption of fixed rather floating-point arithmetic. The presented high level methodology can be easily extrapolated to the implementation of other hyperspectral MATLAB algorithms, drastically accelerating the design cycle from concept to implementation.
ISBN: 9781479934065
ISSN: 2158-6276
DOI: 10.1109/WHISPERS.2012.6874330
Source: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing[ISSN 2158-6276] (6874330)
Appears in Collections:Actas de congresos
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