Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46815
Título: Parallel implementation of a hyperspectral image linear SVM classifier using RVC-CAL
Autores/as: Madroñal, D.
Fabelo, H. 
Lazcano, R.
Callicó, G. M. 
Juárez, E.
Sanz, C.
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Hyperspectral imaging
Support Vector Machine
parallel processing
Fecha de publicación: 2016
Publicación seriada: Proceedings of SPIE - The International Society for Optical Engineering 
Conferencia: High-Performance Computing in Geoscience and Remote Sensing VI
Resumen: Hyperspectral Imaging (HI) collects high resolution spectral information consisting of hundreds of bands across the electromagnetic spectrum –from the ultraviolet to the infrared range–. Thanks to this huge amount of information, an identification of the different elements that compound the hyperspectral image is feasible. Initially, HI was developed for remote sensing applications and, nowadays, its use has been spread to research fields such as security and medicine. In all of them, new applications that demand the specific requirement of real-time processing have appear. In order to fulfill this requirement, the intrinsic parallelism of the algorithms needs to be explicitly exploited. In this paper, a Support Vector Machine (SVM) classifier with a linear kernel has been implemented using a dataflow language called RVC-CAL. Specifically, RVC-CAL allows the scheduling of functional actors onto the target platform cores. Once the parallelism of the classifier has been extracted, a comparison of the SVM classifier implementation using LibSVM –a specific library for SVM applications– and RVC-CAL has been performed. The speedup results obtained for the image classifier depends on the number of blocks in which the image is divided; concretely, when 3 image blocks are processed in parallel, an average speed up above 2.50, with regard to the RVC-CAL sequential version, is achieved.
URI: http://hdl.handle.net/10553/46815
ISBN: 9781510604186
ISSN: 0277-786X
DOI: 10.1117/12.2241648
Fuente: Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 10007 (1000709)
Colección:Actas de congresos
miniatura
Adobe PDF (514,73 kB)
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.