caa a22 4500 445851651 CHVBK 20180317145415.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s11227-011-0598-0 doi (NATIONALLICENCE)springer-10.1007/s11227-011-0598-0 Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters [Elektronische Daten] [J. Molero, A. Paz, E. Garzón, J. Martínez, A. Plaza, I. García] Remotely sensed hyperspectral sensors provide image data containing rich information in both the spatial and the spectral domain, and this information can be used to address detection tasks in many applications. One of the most widely used and successful algorithms for anomaly detection in hyperspectral images is the RX algorithm. Despite its wide acceptance and high computational complexity when applied to real hyperspectral scenes, few approaches have been developed for parallel implementation of this algorithm. In this paper, we evaluate the suitability of using a hybrid parallel implementation with a high-dimensional hyperspectral scene. Ageneral strategy to automatically map parallel hybrid anomaly detection algorithms for hyperspectral image analysis has been developed. Parallel RX has been tested on an heterogeneous cluster using this routine. The considered approach is quantitatively evaluated using hyperspectral data collected by the NASA's Airborne Visible Infra-Red Imaging Spectrometer system over the World Trade Center in New York, 5 days after the terrorist attacks. The numerical effectiveness of the algorithms is evaluated by means of their capacity to automatically detect the thermal hot spot of fires (anomalies). The speedups achieved show that a cluster of multi-core nodes can highly accelerate the RX algorithm. Springer Science+Business Media, LLC, 2011 Hyperspectral imaging nationallicence Anomaly detection nationallicence Heterogeneous clusters nationallicence Molero J. Dpt. of Computer Architecture and Electronics, University of Almería, Ctra Sacramento s/n, 04120, Almería, Spain aut Paz A. Dpt. of Technology of Computers and Communications, University of Extremadura, Avda. de la Universidad S/N, 10071, Cáceres, Spain aut Garzón E. Dpt. of Computer Architecture and Electronics, University of Almería, Ctra Sacramento s/n, 04120, Almería, Spain aut Martínez J. Dpt. of Computer Architecture and Electronics, University of Almería, Ctra Sacramento s/n, 04120, Almería, Spain aut Plaza A. Dpt. of Technology of Computers and Communications, University of Extremadura, Avda. de la Universidad S/N, 10071, Cáceres, Spain aut García I. Dpt. Computer Architecture, Malaga University, Escuela de Ingenierias, Campus de Teatinos, 29071, Málaga, Spain aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/3(2011-12-01), 411-419 0920-8542 58:3<411 2011 58 11227 https://doi.org/10.1007/s11227-011-0598-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-011-0598-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Molero J. Dpt. of Computer Architecture and Electronics, University of Almería, Ctra Sacramento s/n, 04120, Almería, Spain aut NATIONALLICENCE 700 1- Paz A. Dpt. of Technology of Computers and Communications, University of Extremadura, Avda. de la Universidad S/N, 10071, Cáceres, Spain aut NATIONALLICENCE 700 1- Garzón E. Dpt. of Computer Architecture and Electronics, University of Almería, Ctra Sacramento s/n, 04120, Almería, Spain aut NATIONALLICENCE 700 1- Martínez J. Dpt. of Computer Architecture and Electronics, University of Almería, Ctra Sacramento s/n, 04120, Almería, Spain aut NATIONALLICENCE 700 1- Plaza A. Dpt. of Technology of Computers and Communications, University of Extremadura, Avda. de la Universidad S/N, 10071, Cáceres, Spain aut NATIONALLICENCE 700 1- García I. Dpt. Computer Architecture, Malaga University, Escuela de Ingenierias, Campus de Teatinos, 29071, Málaga, Spain aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/3(2011-12-01), 411-419 0920-8542 58:3<411 2011 58 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer