Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images
International audience In this paper, the ability of unsupervised linear unmixing has been evaluated for the hyperspectral image taken on the south pole of the planet Mars by OMEGA instrument aborad MEX. State-of-art methods of the three steps are tested: i) estimation of the number of endmembers; i...
Published in: | 2012 IEEE International Geoscience and Remote Sensing Symposium |
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Main Authors: | , , , , |
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Format: | Conference Object |
Language: | English |
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2012
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Online Access: | https://hal.science/hal-00799654 https://doi.org/10.1109/IGARSS.2012.6350782 |
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Université Grenoble Alpes: HAL |
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[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing |
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[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Luo, Bin Douté, Sylvain Ceamanos, Xavier Chanussot, Jocelyn Zhang, Liangpei Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images |
topic_facet |
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing |
description |
International audience In this paper, the ability of unsupervised linear unmixing has been evaluated for the hyperspectral image taken on the south pole of the planet Mars by OMEGA instrument aborad MEX. State-of-art methods of the three steps are tested: i) estimation of the number of endmembers; ii) extraction of endmembers; ii) estimation of the abundances. According to the results, it has been found that the combination ELM-VCA-NCLS has the best performance for obtaining the spectral signatures and the abundances of the three principle chemical species (CO2 ice, water ice and dust) on the south pole of the Mars. |
author2 |
Laboratoire Traitement et Communication de l'Information (LTCI) Télécom ParisTech-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS) Institut de Planétologie et d'Astrophysique de Grenoble (IPAG ) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS) GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) 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)-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) College of Atmospheric Sciences Lanzhou Lanzhou University Key Laboratory of Western China's Environmental Systems (Ministry of Education) |
format |
Conference Object |
author |
Luo, Bin Douté, Sylvain Ceamanos, Xavier Chanussot, Jocelyn Zhang, Liangpei |
author_facet |
Luo, Bin Douté, Sylvain Ceamanos, Xavier Chanussot, Jocelyn Zhang, Liangpei |
author_sort |
Luo, Bin |
title |
Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images |
title_short |
Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images |
title_full |
Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images |
title_fullStr |
Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images |
title_full_unstemmed |
Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images |
title_sort |
extraction of minerals on the south pole of the planet mars by unsupervised linear unmixing of hyperspectral images |
publisher |
HAL CCSD |
publishDate |
2012 |
url |
https://hal.science/hal-00799654 https://doi.org/10.1109/IGARSS.2012.6350782 |
op_coverage |
Munich, Germany |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_source |
IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium https://hal.science/hal-00799654 IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.3050-3053, ⟨10.1109/IGARSS.2012.6350782⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2012.6350782 hal-00799654 https://hal.science/hal-00799654 doi:10.1109/IGARSS.2012.6350782 |
op_doi |
https://doi.org/10.1109/IGARSS.2012.6350782 |
container_title |
2012 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
3050 |
op_container_end_page |
3053 |
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1798854752467943424 |
spelling |
ftunigrenoble:oai:HAL:hal-00799654v1 2024-05-12T08:11:08+00:00 Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images Luo, Bin Douté, Sylvain Ceamanos, Xavier Chanussot, Jocelyn Zhang, Liangpei Laboratoire Traitement et Communication de l'Information (LTCI) Télécom ParisTech-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS) Institut de Planétologie et d'Astrophysique de Grenoble (IPAG ) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS) GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) 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)-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) College of Atmospheric Sciences Lanzhou Lanzhou University Key Laboratory of Western China's Environmental Systems (Ministry of Education) Munich, Germany 2012-07-22 https://hal.science/hal-00799654 https://doi.org/10.1109/IGARSS.2012.6350782 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2012.6350782 hal-00799654 https://hal.science/hal-00799654 doi:10.1109/IGARSS.2012.6350782 IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium https://hal.science/hal-00799654 IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.3050-3053, ⟨10.1109/IGARSS.2012.6350782⟩ [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing info:eu-repo/semantics/conferenceObject Conference papers 2012 ftunigrenoble https://doi.org/10.1109/IGARSS.2012.6350782 2024-04-18T02:17:10Z International audience In this paper, the ability of unsupervised linear unmixing has been evaluated for the hyperspectral image taken on the south pole of the planet Mars by OMEGA instrument aborad MEX. State-of-art methods of the three steps are tested: i) estimation of the number of endmembers; ii) extraction of endmembers; ii) estimation of the abundances. According to the results, it has been found that the combination ELM-VCA-NCLS has the best performance for obtaining the spectral signatures and the abundances of the three principle chemical species (CO2 ice, water ice and dust) on the south pole of the Mars. Conference Object South pole Université Grenoble Alpes: HAL South Pole 2012 IEEE International Geoscience and Remote Sensing Symposium 3050 3053 |