Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
A strategy to improve quality and speed of multi?scale high?resolution image analysis through superpixels
Year:2013
Research Areas
  • Agriculture,
  • Remote sensing,
  • Processing and signal analysis
Information
Abstract
With the advent of higher-resolution remote sensing imagery the need for more efficient multi-scale image analysis methods has grown more than ever. This paper presents a superpixelbased methodology for hierarchical image analysis. The use of superpixels as pre-processing block reduces the execution time of the analysis and also provides a good starting point to build meaningful objects at different scales through a merging process. At each scale a set of most representative features are extracted, and then regions of interest are identified through a classification method. Only classes of interest are analyzed in a later segmentation step.
International
Si
Book Edition
1
Book Publishing
IOS PRESS
ISBN
978-88-89693-34-6
Series
European Association of Remote Sensing Laboratories Symposium Proceedings
Book title
Towards Horizon 2020: Earth Observation and Social Perspectives
From page
753
To page
760
Participants
  • Autor: Consuelo Gonzalo Martin (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)