Book chapters:
A strategy to improve quality and speed of multi?scale high?resolution image analysis through superpixels
A strategy to improve quality and speed of multi?scale high?resolution image analysis through superpixels
Year:2013
Research Areas
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Agriculture, -
Remote sensing,
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Processing and signal analysis
Information
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Abstract
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| 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. | |
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International
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Si |
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Book Edition
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1 |
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Book Publishing
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IOS PRESS |
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ISBN
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978-88-89693-34-6 |
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Series
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European Association of Remote Sensing Laboratories Symposium Proceedings |
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Book title
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Towards Horizon 2020: Earth Observation and Social Perspectives |
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From page
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753 |
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To page
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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 INNPACTO (IPT-020000-2010-22)