Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Parallel implementation of a hyperspectral image linear SVM classifier using RVC-CAL
Year:2016
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
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.
International
Si
Congress
SPIE: High-Performance Computing in Geoscience and Remote Sensing VI
960
Place
Edinburgh (United Kingdom)
Reviewers
Si
ISBN/ISSN
0277-786X
10.1117/12.2241648
Start Date
26/09/2016
End Date
29/09/2016
From page
10007091
To page
10007099
SPIE Proceedings Vol. 10007: High-Performance Computing in Geoscience and Remote Sensing VI
Participants
  • Autor: Daniel Madroñal Quintin (UPM)
  • Autor: H. Fabelo (IUMA_ULPGC)
  • Autor: Raquel Lazcano Lopez (UPM)
  • Autor: G. M. Callicó (IUMA_ULPGC)
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Cesar Sanz Alvaro (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería Telemática y Electrónica
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