Please use this identifier to cite or link to this item:
Title: High-level FPGA-based implementation of a hyperspectral endmember extraction algorithm
Authors: Lopez, Sebastian 
Callico, Gustavo M. 
Medina, Anabella
Lopez, Jose F. 
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) 
2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 
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
Show full item record


checked on Feb 28, 2021


checked on Feb 28, 2021

Page view(s)

checked on Mar 1, 2021

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.