Independent component discriminant analysis for hyperspectral image classification
International audience In this paper, the use of Independent Component Discriminant Analysis (ICDA) for remote sensing classification is proposed. ICDA is a non-parametric method for discriminant analysis based on the application of a Bayesian classification rule on a signal composed by independent...
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ftunivnantes:oai:HAL:hal-00578911v1 2023-05-15T16:49:19+02:00 Independent component discriminant analysis for hyperspectral image classification Villa, Alberto Benediktsson, Jon Atli Chanussot, Jocelyn Jutten, Christian University of Iceland Reykjavik Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS) Reykjavik, Iceland 2010-06-14 https://hal.science/hal-00578911 https://hal.science/hal-00578911/document https://hal.science/hal-00578911/file/ieee_grss_10_Villa_component.pdf en eng HAL CCSD hal-00578911 https://hal.science/hal-00578911 https://hal.science/hal-00578911/document https://hal.science/hal-00578911/file/ieee_grss_10_Villa_component.pdf info:eu-repo/semantics/OpenAccess Proceedings of the IEEE GRSS WHISPERS 2010 WHISPERS 2010 - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing https://hal.science/hal-00578911 WHISPERS 2010 - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Jun 2010, Reykjavik, Iceland. conference proceedings Hyperspectral data Independent Component Analysis Bayesian Classification [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] info:eu-repo/semantics/conferenceObject Conference papers 2010 ftunivnantes 2023-03-01T00:29:48Z International audience In this paper, the use of Independent Component Discriminant Analysis (ICDA) for remote sensing classification is proposed. ICDA is a non-parametric method for discriminant analysis based on the application of a Bayesian classification rule on a signal composed by independent components. The method is based on the use of Independent Component Analysis (ICA) to choose a transform matrix so that the transformed components are as independent as possible. Then, a non parametric estimation of the density function is computed for each independent component. Finally, the Bayes rule is applied for classification assignment. The obtained results are compared with one of the most used classifier of hyperspectral images (Support Vector Machine) and show the comparative effectiveness of the proposed method. Conference Object Iceland Université de Nantes: HAL-UNIV-NANTES |
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Université de Nantes: HAL-UNIV-NANTES |
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ftunivnantes |
language |
English |
topic |
Hyperspectral data Independent Component Analysis Bayesian Classification [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] |
spellingShingle |
Hyperspectral data Independent Component Analysis Bayesian Classification [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Villa, Alberto Benediktsson, Jon Atli Chanussot, Jocelyn Jutten, Christian Independent component discriminant analysis for hyperspectral image classification |
topic_facet |
Hyperspectral data Independent Component Analysis Bayesian Classification [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] |
description |
International audience In this paper, the use of Independent Component Discriminant Analysis (ICDA) for remote sensing classification is proposed. ICDA is a non-parametric method for discriminant analysis based on the application of a Bayesian classification rule on a signal composed by independent components. The method is based on the use of Independent Component Analysis (ICA) to choose a transform matrix so that the transformed components are as independent as possible. Then, a non parametric estimation of the density function is computed for each independent component. Finally, the Bayes rule is applied for classification assignment. The obtained results are compared with one of the most used classifier of hyperspectral images (Support Vector Machine) and show the comparative effectiveness of the proposed method. |
author2 |
University of Iceland Reykjavik Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS) |
format |
Conference Object |
author |
Villa, Alberto Benediktsson, Jon Atli Chanussot, Jocelyn Jutten, Christian |
author_facet |
Villa, Alberto Benediktsson, Jon Atli Chanussot, Jocelyn Jutten, Christian |
author_sort |
Villa, Alberto |
title |
Independent component discriminant analysis for hyperspectral image classification |
title_short |
Independent component discriminant analysis for hyperspectral image classification |
title_full |
Independent component discriminant analysis for hyperspectral image classification |
title_fullStr |
Independent component discriminant analysis for hyperspectral image classification |
title_full_unstemmed |
Independent component discriminant analysis for hyperspectral image classification |
title_sort |
independent component discriminant analysis for hyperspectral image classification |
publisher |
HAL CCSD |
publishDate |
2010 |
url |
https://hal.science/hal-00578911 https://hal.science/hal-00578911/document https://hal.science/hal-00578911/file/ieee_grss_10_Villa_component.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Proceedings of the IEEE GRSS WHISPERS 2010 WHISPERS 2010 - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing https://hal.science/hal-00578911 WHISPERS 2010 - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Jun 2010, Reykjavik, Iceland. conference proceedings |
op_relation |
hal-00578911 https://hal.science/hal-00578911 https://hal.science/hal-00578911/document https://hal.science/hal-00578911/file/ieee_grss_10_Villa_component.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766039464244674560 |