Now showing items 1-11 of 11

  • Arbre de partition binaire: Un nouvel outil pour la représentation hiérarchique et l’analyse des images hyperspectrales 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (2011)
    Conference report
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    This problem discusses here is the hierarchical representation and processing of the hyperspectral imaging. In this framework, Binary Partition Trees (BPTs) are proposed as new hierarchical region-based representation. ...
  • Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees 

    Benediktsson, Joan A; Bruzzone, Lorenzo; Chanussot, Jocelyn; Dalla Mura, Mauro; Salembier Clairon, Philippe Jean; Valero, Silvia (Springer Verlag, 2012)
    Conference report
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    The new generation of very high resolution sensors in airborne or satellite remote sensing open the door to countless new applications with a high societal impact. In order to bridge the gap between the potential offered ...
  • Hyperspectral image representation and processing with binary partition trees 

    Valero Valbuena, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (2012-12-04)
    Article
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    The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image-processing tools. This paper proposes the construction and the processing of a new region-based ...
  • Hyperspectral image segmentation using binary partition trees 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (IEEE, 2011)
    Conference report
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    The work presented here proposes a new Binary Partition Tree pruning strategy aimed at the segmentation of hyperspectral images. The BPT is a region-based representation of images that involves a reduced number of elementary ...
  • Improved binary partition tree construction for hyperspectral images: application to object detection 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn; Cuadres, Carles (IEEE, 2011)
    Conference report
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    This paper discusses hierarchical region-based representation using Binary Partition Tree in the framework of hyperspectral data. Based on region merging techniques, this region-based representation reduces the number of ...
  • Multidimensional SAR data analysis based on binary partition trees and the covariance matrix geometry 

    Alonso González, Alberto; López Martínez, Carlos; Salembier Clairon, Philippe Jean; Valero Valbuena, Silvia; Chanussot, Jocelyn (2014)
    Conference report
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    In this paper, we propose the use of the Binary Partition Tree (BPT) as a region-based and multi-scale image representation to process multidimensional SAR data, with special emphasis on polarimetric SAR data. We also ...
  • New hyperspectral data representation using binary partition tree 

    Valero Valbuena, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (2010)
    Conference report
    Open Access
    The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image processing tools. This paper introduces a new hierarchical structure representation for such images ...
  • Object recognition in hyperspectral images using Binary Partition Tree representation 

    Valero Valbuena, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (2015-04-15)
    Article
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    In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. This hierarchical region-based representation can be interpreted as a set of hierarchical regions ...
  • Object recognition in urban hyperspectral images using binary partition tree representation 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Conference report
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    In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification ...
  • Processing multidimensional SAR and hyperspectral images with binary partition tree 

    Alonso González, Alberto; Valero, Silvia; Chanussot, Jocelyn; López Martínez, Carlos; Salembier Clairon, Philippe Jean (2013-03)
    Article
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    The current increase of spatial as well as spectral resolutions of modern remote sensing sensors represents a real opportunity for many prac tical applications but also generates important challenges in terms of image ...
  • Segmentation hyperspectrale de forets tropicales par arbres de partition binaires 

    Tochon, Guillaume; Feret, J.B.; Valero, Silvia; Martin, R.E.; Tupayachi, R.; Chanussot, Jocelyn; Salembier Clairon, Philippe Jean; Asner, G.P. (2013-05-01)
    Article
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    La segmentation d’images de forêts tropicales est un outil important pour faciliter le travail des écologues. Dans ce papier, nous proposons une nouvelle méthode de segmentation pour les images hyperspectrales, basée sur ...