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Title:
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Improved binary partition tree construction for hyperspectral images: application to object detection
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Author:
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Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn; Cuadres, Carles
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
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Abstract:
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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 elementary primitives compared to the pixel based representation and allows a more robust filtering, segmentation, classification or information retrieval. The work presented here proposes a strategy for merging hyperspectral regions using a new association measure depending on canonical correlations relating principal coordinates. To demonstrate an example of BPT usefulness, a pruning strategy aiming at object detection is discussed. Experimental results demonstrate the good performances of BPT. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
-Image processing --Digital techniques.
-Spectroscopic imaging
-Imatges -- Processament -- Tècniques digitals
-Reconeixement de formes (Informàtica) |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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IEEE
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Share:
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