2024-03-29T11:45:11Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/481942023-07-21T09:33:13Zcom_10234_7036com_10234_9col_10234_8620
00925njm 22002777a 4500
dc
Quintana-Orti, Enrique S.
author
Remón Gómez, Alfredo
author
Sánchez, Sergio
author
Paz, Abel
author
Plaza, Antonio
author
2011
In this letter, we discuss the use of multicore processors in the acceleration of endmember extraction algorithms for hyperspectral image unmixing. Specifically, we develop computationally efficient versions of two popular fully automatic endmember extraction algorithms: orthogonal subspace projection and N-FINDR. Our experimental results, based on the analysis of hyperspectral data collected by the National Aeronautics and Space Administration Jet Propulsion Laboratory's Airborne Visible InfraRed Imaging Spectrometer, indicate that endmember extraction algorithms can significantly benefit from these inexpensive high-performance computing platforms, which can offer real-time response with some programming effort.
Remon, A.; Sanchez, S.; Paz, A.; Quintana-Orti, E.S.; Plaza, A.; , "Real-Time Endmember Extraction on Multicore Processors," Geoscience and Remote Sensing Letters, IEEE , vol.8, no.5, pp.924-928, Sept. 2011
doi: 10.1109/LGRS.2011.2136317
Geoscience and Remote Sensing Letters, IEEE, 2011, Vol.:8 no.5
1545-598X
http://hdl.handle.net/10234/48194
http://dx.doi.org/10.1109/LGRS.2011.2136317
Endmember extraction
Hyperspectral imaging
Multicore processors
Spectral unmixing
Real-time endmember extraction on multicore processors