Spectral-spatial analysis in hyperspectral remote sensing: from morphological profiles to classified segmentation
Jocelyn Chanussot
,
Jon Atli Benediktsson
,
Mathieu Fauvel
,
Yuliya Tarabalka
SPIE Remote Sensing Europe , 2009, Berlin, Germany
Communication dans un congrès
hal-00449469v1
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Kernel principal component analysis for the classification of hyperspectral remote-sensing data over urban areas
Mathieu Fauvel
,
Jocelyn Chanussot
,
Jon Atli Benediktsson
EURASIP Journal on Advances in Signal Processing , 2009, 2009, pp.Article ID 783194.
⟨10.1155/2009/783194⟩
Article dans une revue
hal-00449436v1
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Kernel Principal Component Analysis for the construction of the extended morphological profile
Mathieu Fauvel
,
Jocelyn Chanussot
,
Jon Atli Benediktsson
IGARSS 2009 - IEEE International Geoscience and Remote Sensing Symposium , Jul 2009, Le Cap, South Africa. pp.II:843-846,
⟨10.1109/IGARSS.2009.5418227⟩
Communication dans un congrès
hal-00449456v1
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Mahalanobis kernel for the classification of hyperspectral images
Mathieu Fauvel
,
Alberto Villa
,
Jocelyn Chanussot
,
Jon Atli Benediktsson
IGARSS 2010 - IEEE International Geoscience and Remote Sensing Symposium , Jul 2010, Honolulu, Hawaii, United States. pp.3724-3727,
⟨10.1109/IGARSS.2010.5651956⟩
Communication dans un congrès
hal-00578952v1
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SVM and MRF-Based Method for Accurate Classification of Hyperspectral Images
Yuliya Tarabalka
,
Mathieu Fauvel
,
Jocelyn Chanussot
,
Jon Atli Benediktsson
Article dans une revue
hal-00578864v1
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Machine learning techniques in remote sensing data analysis
Bjorn Waske
,
Mathieu Fauvel
,
Jon Atli Benediktsson
,
Jocelyn Chanussot
Gustavo Camps-Valls, Lorenzo Bruzzone.
Kernel Methods for Remote Sensing Data Analysis , Wiley and Sons, 2009, 9780470722114.
⟨10.1002/9780470748992.ch1⟩
Chapitre d'ouvrage
hal-00449466v1
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A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data
Xavier Ceamanos
,
Bjorn Waske
,
Jon Atli Benediktsson
,
Jocelyn Chanussot
,
Mathieu Fauvel
,
et al.
Article dans une revue
hal-00578897v1
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